Instrumentation for solar spectropolarimetry: state of the art and prospects

Francisco A. Iglesias; Alex J. Feller

doi:10.1117/1.OE.58.8.082417

27 April 2019 Instrumentation for solar spectropolarimetry: state of the art and prospects

Francisco A. Iglesias, Alex J. Feller

Author Affiliations +

Funded by: Consejo Nacional de Investigaciones Científicas y Técnicas (National Scientific and Technical Research Council), Universidad Tecnológica Nacional

Optical Engineering, Vol. 58, Issue 8, 082417 (April 2019). https://doi.org/10.1117/1.OE.58.8.082417

Abstract

Given its unchallenged capabilities in terms of sensitivity and spatial resolution, the combination of imaging spectropolarimetry and numeric Stokes inversion represents the dominant technique currently used to remotely sense the physical properties of the solar atmosphere and, in particular, its important driving magnetic field. Solar magnetism manifests itself in a wide range of spatial, temporal, and energetic scales. The ubiquitous but relatively small and weak fields of the so-called quiet Sun are believed today to be crucial for answering many open questions in solar physics, some of which have substantial practical relevance due to the strong Sun–Earth connection. However, such fields are very challenging to detect because they require spectropolarimetric measurements with high spatial (sub-arcsec), spectral (<100 mÅ), and temporal (<10 s) resolution along with high polarimetric sensitivity (<0.1 % of the intensity). We collect and discuss both well-established and upcoming instrumental solutions developed during the last decades to push solar observations toward the above-mentioned parameter regime. This typically involves design trade-offs due to the high dimensionality of the data and signal-to-noise-ratio considerations, among others. We focus on the main three components that form a spectropolarimeter, namely, wavelength discriminators, the devices employed to encode the incoming polarization state into intensity images (polarization modulators), and the sensor technologies used to register them. We consider the instrumental solutions introduced to perform this kind of measurements at different optical wavelengths and from various observing locations, i.e., ground-based, from the stratosphere or near space.

1. Introduction: Instrumental Goals and Challenges in Modern Solar Spectropolarimetry

Understanding solar activity is important from an astronomical point of view and also from a practical perspective, due to the strong influence the Sun has on Earth and on many human activities carried out both on the ground and in space. Our host star affects Earth’s climate¹^,² and is also the main driver of space weather, which describes the conditions in Earth’s magnetosphere and upper atmosphere. Violent solar phenomena can have severe effects on diverse human technology (in particular space-borne), such as radio communications, various defense and global positioning systems, geostationary and mid-orbit satellites, power distribution grids, railway systems, oil distribution infrastructure, etc.³ The main driver of solar activity is the highly dynamic solar magnetic field. The most evident manifestation of this is the 11-year sunspot cycle.⁴ At shorter time-scales, hours to minutes, abrupt energetic events such as solar flares or eruptions in the form of coronal mass ejections (CMEs) strongly affect the heliosphere where Earth is embedded.⁵ Moreover, very-small-scale phenomena, in the tens of km range but with global implications on the energetic condition of the different layers of the solar atmosphere, such as magnetic reconnection or wave dissipation, frequently occur both in active and quiet regions of the Sun.

There are regular in situ magnetic measurements carried out near Earth, at the Lagrangian point L1, but only a few cases of this being done closer to the Sun. Two exciting examples of the latter are the recent Parker Solar Probe⁶^,⁷ and the soon-to-be-launched Solar Orbiter missions.⁸ Therefore, we mostly rely on remote sensing to routinely probe the conditions in the different layers of the solar atmosphere. (The solar atmosphere is typically divided into four main layers: the lowest layer is the “photosphere,” which is few hundred km thick and most of the light escapes from the Sun into outer space. The second layer is the “chromosphere,” which extends for about 2000 km and presents a slight temperature increase from the photospheric 5000 to 7000 K, approximately. The highest layer is the “corona,” which has a still-unexplained temperature of order 1 MK. In between the corona and chromosphere is the transition region where density and temperature abruptly change.⁹) This implies extracting from the emitted solar radiation, detailed information about temperature, plasma velocity, and most notably the magnetic field vector, among others. Such information is encoded in the intensity and polarization profiles of the Fraunhofer spectral lines via various radiation–matter–magnetic-field interaction processes. (We exclude from our discussion remote-sensing techniques that can derive information about the magnetic field using only the observed oscillations of solar features. This is done because they do not rely on polarimetric measurements and are limited only to very specific cases where such oscillations are observed.¹⁰) Different spectral lines across the solar spectrum are used to probe the various atmospheric layers and may require different instrumental solutions and data analysis techniques. We can denote the spectral observational regimes used in solar polarimetry as follows:

• High-energy: Observations of linear polarization at x-ray wavelengths from solar sources have been performed from space since the 1970s.¹¹ The preferred targets are energetic solar events, most notably flares,¹² where the emissions are related to highly accelerated particles. Instrumental developments during the last decade materialized in successful missions that improved the quality of polarization measurements in terms of polarimetric sensitivity, energy range (e.g., to gamma-ray¹³) and spatial resolution, see e.g., Refs. 14 15.–16. High-energy solar polarimetry has many advantages with respect to the other spectral regimes.¹⁷^,¹⁸ On the other hand, it presents moderate spatial resolution ( $\sim 10 arcsec$ ¹⁶) and polarimetric sensitivity ( $\sim 1 %$ ¹³), and cannot be used to retrieve the complete magnetic field vector. Polarimetric sensitivity in solar polarimetry is used to define the minimum detectable polarimetric signal. In a well-calibrated optical instrument, this is directly taken as the root-mean-square (RMS) noise in the Stokes images produced by photon statistics. Polarimetric sensitivity is typically expressed as a fraction of the mean intensity value in the nearest continuum spectral point.
• Microwave and radio: Mainly circular polarization signatures of cm to sub-mm solar radio emissions have been used to retrieve magnetic information about the solar chromosphere and corona. This kind of radio polarimetric measurements can be conveniently done from the ground and have various advantages with respect to the other spectral regimes.¹⁹^,²⁰ Notable examples are the detections done with the Nobeyama Radio Telescope,²¹ e.g., Refs. 22 and 23. On the other hand, radio measurements can be difficult to interpret, they can not be used to retrieve the full magnetic field vector and have moderate spatial resolution and height information.²⁴ In recent years, solar radio magnetometry has gained great impulse due to the increased spatial resolution and sensitivity that can be provided by large interferometric radio telescopes. A prominent example of the latter is the soon-to-be-commissioned mode to observe solar polarization signals with the Atacama Large Millimeter Array (ALMA²⁵). ALMA could reach resolutions in the 0.005 to 5 arcsec range and a polarimetric sensitivity below 0.1%, see Ref. 24 for a discussion on the implications for solar polarimetry.
• Optical: Besides the important and complementary radio and high-energy observational regimes, the still dominant technique used nowadays to routinely derive photospheric and chromospheric, high-spatial-resolution, full-vector, magnetic field maps of the Sun, is the inversion of spectropolarimetric data acquired in the optical range of the solar spectrum. The inversion process typically involves the iterative fitting of a predefined atmospheric model to the measured full-Stokes spectral profiles, see the reviews in Refs. 26 and 27. The most relevant polarizing mechanisms in this regime are the Zeeman and Hanle effects, which can be used to retrieve detailed magnetic field information in various solar conditions, from quiet to active, where magnetic fields range from few G to kG, see e.g., Refs. 28 29.–30, for some general overviews on the field of solar spectropolarimetry.

Given the pros and cons named above for each spectral regime, and considering that the instrumental solutions are substantially different among them, we will devote the rest of this work to optical spectropolarimetry only. The latter plays a central role in modern solar physics and is an important design-driver in any competitive optical solar observatory. For example, four out of the five first-light instruments in the world’s largest future solar observatory, the 4m-class Daniel K. Inouye Solar Telescope (DKIST³¹), will have spectropolarimetric (and optional spectroscopic) capabilities.³²^,³³

Polarimetry is frequently reviewed using different approaches. Examples of relevant works are given in Ref. 34, which includes a science-driven review on photospheric and chromospheric magnetometry. In Ref. 35, polarimetric instrumentation for the broader field of astronomy is overviewed. In Ref. 36, polarization devices and methods used across various disciplines are summarized. In this review, we focus on instrumental technology and techniques employed by the solar community to satisfy the demand for data with increasing polarimetric sensitivity and resolution, partially driven by the next generation of large-aperture solar telescopes such as DKIST. We will approach the review by quantitatively comparing relevant working and underconstruction spectropolarimeters to highlight instrumental concepts that have appeared due to the advances in related fields, such as polarization devices manufacturing, imaging sensors technology, data acquisition systems, and snapshot spectroscopy. The next sections are devoted to the three main components that form a spectropolarimeter, namely, the wavelength discriminator used to select the desired spectral band; the polarization modulator employed to encode the polarization information typically into temporal, spatial, or spectral variations of the output intensity; and the scientific cameras used to detect the modulated intensity signal.

1.1.

Data Requirements and Trade-Offs

There are different data requirements that arise from the main ongoing research areas in solar polarimetry. These derive in trade-offs when designing the required instrumentation, which are mainly associated to the high-dimensionality of the data, the required signal-to-noise-ratio (SNR) levels, and resolution limitations (see below). Such requirements can be grouped as follows:³⁴

• Simultaneous high polarimetric sensitivity and spatial resolution: Required to study the ubiquitous, small-scale (tens of km on the Sun), faint ( $< 10 G$ ) fields present in the photosphere and chromosphere, which are critical to understand processes with global energetic implications, such as magnetoconvection.³⁷^,³⁸ Note that the density scale height, which is a fundamental length for many basic physical processes in the Sun, is $\sim 150 km$ at the photosphere. This translates in a requirement of sub-arcsec angular resolution, few times 0.01% polarimetric sensitivity³⁹^,⁴⁰ and mid-high cadence (see Fig. 1), which is challenging from an instrumental point of view.
• High polarimetric sensitivity of faint signals: In this case, spatial and spectral resolution needs to be reduced to reach the required sensitivity for studying weak magnetic fields, e.g., Refs. 42 43.44.–45, particularly in the corona where the effective photon flux is low. Tomographic inversions or line-ratio-based methods can be used to quantify coronal fields from polarization measurements acquired with coronagraphs or via off-limb observations. A coronagraph is an instrument that observes the corona by simulating a total solar eclipse using an artificial occulter in front or inside the telescope. Since the corona is very dim with respect to the solar disk, by a factor of $\sim 10^{- 7}$ in white light, stray-light rejection is the driving design criterion.⁴⁶ Coronagraphs are built with polarimetric capabilities to, e.g., study the so-called K-corona that is globally linearly polarized in the 10% level due to the radiation anisotropy. Coronagraph measurements have been done in the infrared (IR)⁴⁷^–⁴⁹ and will be tried soon for the ultraviolet (UV).⁵⁰ Examples of off-limb magnetometry in the near IR (NIR) line at 1083.0 nm are given in Refs. 49, 51, and 52, which employs a vector tomographic reconstruction. Due to the difficulties to obtain coronal spectropolarimetric observations, these fields are also frequently guessed via extrapolations of photospheric data (see below) or constrained magnetohydrodynamic (MHD) simulations.
• Full-disk spectropolarimetry: In this case, the field of view (FOV) covers the full solar disk with moderate spatial resolution ( $\sim 1 arcsec$ ) and cadence (minutes). Traditionally, only circular polarization was measured to obtain maps of the line-of-sight component of the magnetic field, e.g., as done in the notable Michelson Doppler Imager (MDI⁵³) on board the 20-years-running Solar and Heliospheric Observatory (SOHO⁵⁴). However, nowadays the preference is to record the full Stokes vector, e.g., as done in the successful HMI listed in Table 2. The resulting synoptic maps of plasma velocity and vector magnetic field, among others, are widely used in space weather programs to, e.g., derive the coronal magnetic field from photospheric extrapolations.¹⁰⁴ To provide continuous coverage from the ground, typically, a network of identical instruments located around the globe is employed.⁶⁶ Two notable examples are the Oscillations Network Group (GONG¹⁰⁵), which only measures circular polarization, and the upcoming European-funded, Solar Physics Research Integrated Network Group (SPRING¹⁰⁶), which will provide the full Stokes vector.
• High-cadence spectropolarimetry: The study of fast solar events, such as flares¹⁰⁷^–¹⁰⁹ and CMEs or filaments eruptions,¹¹⁰^,¹¹¹ sometimes requires measurements of the full Stokes vector with a cadence of few minutes or seconds.

Fig. 1

Trade-off between NSR and spatial resolution when doing imaging spectropolarimetry of a moving solar feature. Considering the limited flux of the typical solar spectrum and assuming a given wavelength (different line styles, see legend), a fixed aperture (groups of three lines, see annotations), and spatial sampling (lower axis), the maximum integration time (upper axis) is limited, if blurring and polarimetric artifacts due to signal motion are to be avoided. This in turn limits the minimum NSR that can be achieved in the Stokes images (left axis). The assumed optical throughput, spectral resolving power, and velocity of the solar feature are given in the legend. We considered ideal polarimetric efficiencies. For a fixed size of the resolution element, the only way to achieve the high-sensitivity (0.01%), high-resolution (0.2 arcsec) regime, marked with the black dot, is by increasing the telescope aperture, and thus the photon collecting area, to a 4-m class. However, note that this means working at a resolution much lower than the telescope difraction limit. See the text for extra details. Adapted from Ref. 41.

Performing the above-described spectropolarimetric measurements requires estimating the direction, energy, time-of-arrival, and polarization of the incoming photons. This derives in a measurement space with five-dimensions (plane-of-sky coordinates $x$ and $y$ , wavelength $λ$ , time $t$ , and Stokes vector $S = [I, Q, U, V]$ ) that has to be mapped to a three-dimensional (3-D) data space that represents the acquisition done with a two-dimensional (2-D) detector at a given instant of time ( $x_{d}$ , $y_{d}$ , and $t_{d}$ ). Since the data space is of lower dimensionality, it is necessary to encode more than one measurement dimension in a single data parameter. This implies a trade-off in terms of simultaneity, resolution, and/or FOV among the measurement dimensions that are sharing a single data parameter. The existing solutions, summarized in Table 1, generally divide this process into two steps corresponding to the spectroscopic and polarimetric analyses, see Secs. 2 and 3, respectively. Recent instrumental concepts have been developed to perform the complete spectropolarimetric analysis in a single device, although with limited performance (see Sec. 3.4).

Table 1

Summary of possible spectropolarimetric mappings. Selected combinations when trying to map the 5-D, spectropolarimetric measurement space given in column one, into the 3-D data space provided by the scientific detector (xd,yd,td) are given in columns 4 to 6. We have put in parentheses the measurement dimensions that, due to optical constraints, must be imaged in the same detector area, e.g., when doing spatial polarization modulation of a spectrograph output λ and y must be imaged in the same detector area while the different S could be imaged in a separate camera. Extra information about the spectral and polarimetric parts of the mapping are given in Secs. 2 and 3, respectively. In general, the more a given data parameter is populated by different measurement dimensions, the stronger are the trade-offs in terms of simultaneity, resolution, and/or FOV. We have highlighted in bold the combinations that allow snapshot-spectropolarimetry of extended sources, which, among other benefits, maximizes SNR by making use of all the relevant photons reaching the instrument at a given time.

Meas. Space	Spectropolarimetric mapping		Data space
$x, y, λ, t, S$	Spectral	Polarimetric	$x_{d}$	$y_{d}$	$t_{d}$
	Filtergraph	Temporal	$(x)$	$(y)$	$t, λ, S$
		Spatial	$(x), S$	$(y), S$	$t, λ$
		Spatiotemporal	$(x), S$	$(y), S$	$t, λ, S$
	Spectrograph	Temporal	$(λ)$	$(y)$	$t, x, S$
		Spatial	$(λ), S$	$(y), S$	$t, x$
		Spatiotemporal	$(λ), S$	$(y), S$	$t, x, S$
	Integral field	Temporal	$(x, y, λ)$	$(x, y, λ)$	$t, S$
		Spatial	$(x, y, λ), S$	$(x, y, λ), S$	$t$
		Spatiotemporal	$(x, y, λ), S$	$(x, y, λ), S$	$t, S$
	Spectropolarimetric modulationa		$x, y, λ, S$	$x, y, λ, S$	$t$

^aIn this case, which groups several techniques, a function (e.g., fringes pattern) of the measurement parameters is commonly mapped to the detector.

Besides the trade-offs that arise from the high dimensionality of the measurement space shown in Table 1, there is an intrinsic limitation to the achievable SNR when imaging any moving solar signal at high resolution. Because of the limited solar flux and well capacity of imaging sensors, the accumulation of many frames is required to increase polarimetric sensitivity. E.g., to reach 1 G of longitudinal magnetic sensitivity $\sim 10^{7}$ photons are required.⁴⁰ The latter, in turn, may result in blurring and polarimetric artifacts due to the signal movement from one sampling element to the adjacent one during the integration time, thus effectively reducing the final spatial and spectral resolutions. This trade-off is exemplified in Fig. 1, where we show the minimum combined noise-to-signal ratio (NSR) and spatial resolution that can be reached when doing full-Stokes, imaging spectropolarimetry of a solar feature that is moving close to the photospheric sound speed ( $\sim 10 {km s}^{- 1}$ ) with a given telescope aperture and wavelength. We have used an average solar spectrum, a conservative 10% total optical throughput of the system, ideal polarimetric efficiencies and a competitive spectral resolution of 250,000. Polarimetric efficiencies quantify the noise propagation in the polarimeter given its adopted modulation scheme, see e.g., Refs. 30, 112, and 113. Note that the most demanding observing regimes can only be achieved by increasing the telescope photon-collecting area (aperture) while keeping the sampling element size well below the one defined by the diffraction limit, i.e., the spatial resolving power must be sacrificed to increase SNR.

1.2.

State-of-the-Art and Upcoming Solar Optical Spectropolarimeters

In this section, we list selected and representative, solar optical spectropolarimeters that were developed in the last decades or are currently under construction. These are presented in Table 2 along with references. In addition, Fig. 2 shows basic properties, such as the approximate year of introduction; aperture and location of the telescope; and center of the spectral coverage. Other relevant properties will be presented and discussed in the following sections. The specifications of all the polarimeters dated 2018 or beyond were taken from the reported design parameters. Note that the extracted properties are meant to give an idea of the instrumental overall capabilities and cannot capture the large range of specifications that in some cases is provided by the configuration flexibility of these instruments (the corresponding references can be consulted for further details). We also note that we have excluded from this review some successful earlier instruments, most notably the advanced Stokes polarimeter (ASP)¹¹⁴^,¹¹⁵ and the Tenerife infrared polarimeter (TIP)¹¹⁶^,¹¹⁷, as well as the THEMIS¹¹⁸ telescope. All have made substantial contributions to the field and are well reported elsewhere. ASP and the second version of TIP are not operational anymore, their technology have been the base for the design of other relevant instruments, such as DLSP or Hinode SP for the former and GRIS for the later, see Table 2. THEMIS, which presents a unique, polarization-optimized design, does not have a polarimeter listed among the available instrumentation in its 2019 observing run.

Table 2

Selected working and upcoming solar optical spectropolarimeters nalysed in this review along with their approximate working wavelength range or points. Note that some instruments may cover nonlisted spectral ranges using different configurations, e.g., cameras, or not cover the full range, e.g., filtergraphs, which typically rely on prefilters availability. When relevant, we have used only the specifications of the modes that can measure the full Stokes vector.

#	Observatory	Instrument	Wavelength range (nm)	References
1	McMath-Pierce	ZIMPOL2a	316 to 700	55
2	DST	IBIS	580 to 860	56 57.–58
3	DST	DLSP II	630.25	59, 60
4	DST	SPINOR	430 to 1565	61, 62
5	DST	FIRS-IR	1083; 1565	63, 64
6	DST	FSPIIa	450 to 750	65
7	BBSO-NST	VSM	630.2	66 67.–68
8	BBSO-NST	NIRIS	1000 to 1700	69
9	SST	CRISP	510 to 860	70, 71
10	SST	MiHi	450 to 750	72 73.–74
11	VTT	FSPa	400 to 800	39, 75
12	VTT	VIP	420 to 700	76
13	GREGOR	ZIMPOL3a	400 to 700	77, 78
14	GREGOR	GRIS	1000 to 1800	79, 80
15	GREGOR	GRIS+a	800 to 1600	81
16	DKIST	ViSP	380 to 900	82 83.–84
17	DKIST	VTF	520 to 870	84 85.86.–87
18	DKIST	DL-NIRSP	500 to 1700	32, 84, 88
19	DKIST	Cryo-NIRSP	1000 to 5000	32, 84
20	SUNRISE 1&2	IMAX	525.02	40, 89
21	SUNRISE 3	IMAX+	517.3; 524.70; 525.02	90 91.–92
22	SUNRISE 3	SUSI	300 to 430	90, 91
23	SUNRISE 3	SCIP	765;855	90, 91, 93
24	HINODE-SOT	SP	630.15; 630.25	94, 95
25	SDO	HMI	617.3	96 97.98.–99
26	CLASP	CLASP	121.6	100, 101
27	SO	PHI	617.3	102, 103

^aThe instruments are polarimeters only and in general can be operated with different telescopes and/or wavelength discriminators. In this review, we use the specifications of the referenced implementations.

Fig. 2

Date of introduction (vertical axis), aperture (proportional to the bubbles radii), and center of the spectral range (horizontal axis) of the instruments listed in Table 2. The largest aperture corresponds to the first-light instruments of the upcoming 4-m DKIST.³² The different observatory locations are highlighted using colors, see legend. The vertical dashed line denotes the atmospheric cutoff at $\sim 310 nm$ .

Many of the listed instruments work in the visible range of the spectrum, where high-resolution polarimetry was first developed mainly because it can be accessed from the ground, it presents high flux and simplifies the optical design with respect to the UV and IR regimes. The visible range also contains many photospheric lines that are used to probe the strongest solar magnetic fields, e.g., in sunspots, and are normally easier to interpret than chromospheric lines. Observations in the NIR and short-wavelength IR (SWIR) regimes are useful because the the Zeeman splitting (in units of Doppler broadening) increases linearly with wavelength. On the other hand, the spatial resolution in the IR is reduced and the instrument design is more complex due to the worse response of detectors, which typically needed to be nitrogen cooled (see Sec. 4), and optical components. The UV and near-UV (NUV) windows are also poorly explored mainly because they are partially not accessible from the ground (see below) and the lower solar flux, and shorter wavelengths impose strict constraints to the optical components and detectors in terms of photon efficiency, wavefront distortions, and straylight.¹¹⁹ In addition, the available polarization modulation solutions in the UV are more limited (see, e.g., Ref. 120). However, spectral lines in the UV are in general much steeper than at longer wavelengths, due to the steepness of the Planck function in the UV. This increases the Zeeman signals and can counteract the effect of the reduced Zeeman splitting to a significant degree.¹²¹ Observations below the atmospheric cutoff ( $\sim 310 nm$ ) cannot be done from the ground. Moreover, all the space-borne, solar polarimetric measurements that have been acquired to date were done in the visible. The only imaging spectropolarimetric exploration of the UV regime was done by the 2015 flight¹⁰⁰ of CLASP, see Table 2. CLASP is a spectrograph-based, UV polarimeter fed by a 27.9-cm telescope mounted in a sounding-rocket. It can observe linear polarization (Stokes I, Q, and U) around 121.1 nm to study scattering polarization for about 5 min during each flight, and its development, led by the Japanese Space Agency, was meant mainly as a demonstrator for a future space mission. The poor polarimetric knowledge of the UV and NUV windows is one of the main motivations for the development of SUSI, see Table 2, to be included in the third flight of the balloon-borne SUNRISE observatory.⁹⁰^,¹²²

As can be appreciated in Fig. 2, the available solar observatories have up to date apertures below 2 m. Moreover, the technical challenges and large costs involved have limited the aperture size of space-borne telescopes to a fraction of this, namely 0.5 m for the HINODE/SOT. The latter, along with the upcoming 4-m DKIST (first light expected in 2019) and the important improvements made in multiconjugated solar adaptive optics systems¹²³^–¹²⁶ and image restoration techniques,¹²⁷^–¹³² have slightly shifted the scale in favor of ground-based observatories when trying to simultaneously reach the highest spatial resolution and SNR. The SOLAR-C space mission, equipped with a powerful 1.4-m telescope and outstanding spectropolarimetric capabilities, was envisioned as a natural successor of the successful HINODE by the Japanese Space Agency and proposed by an international consortium to its European counterpart in 2015.¹³³ Even though the proposal got high marks, it was not selected and funding is not clear as of today.¹³⁴ Two other advantages of space solutions are also very relevant, namely the ability to observe wavelengths absorbed by Earth’s atmosphere and to monitor the Sun continuously with diffraction limited performance (crucial to answer many science questions).

2. Wavelength Discriminators

The wavelength discriminators that have been most successfully used to perform the spectral mapping (see Table 1) in optical solar spectropolarimetry are grating spectrographs (SGs) and filtergraphs (FGs) systems, see Fig. 3. Historically, the instrumental developments focused on minimizing optical aberrations and maximizing throughput, accuracy, and spectral resolution. As a consequence, nowadays the richness of typical photospheric and chromospheric spectral line profiles can be properly sampled using both approaches, e.g., 21 of the 27 instruments in Table 2 have a spectral resolving power above 100,000, with 13 using SGs and 11 FGs, see Fig. 4. Recent designs focus on exploiting the ability to observe multiple lines simultaneously, reducing scanning times, polarimetrically exploring poorly known portions of the spectrum and/or increasing spatial resolution. In addition, the inability of SGs and FGs to simultaneously capture both spatial and spectral information is being tackled by developing integral field solutions. More details on each of the approaches are given in the following sections.

Fig. 3

Six different spectral mapping techniques used in solar spectropolarimetry. The cube ( $x$ , $y$ , and $λ$ ) at the top can be mapped to the 2-D detector (bottom row) either by time-multiplexing, as done in filtergraphs and spectrographs, or by making use of a larger detector area to accommodate all the measurement dimensions in a single frame exposure, see Table 1. The latter is used in the integral field solutions, which are mostly under development and can perform snapshot-spectroscopy at the expenses of a reduced resolution and/or FOV. The multislit spectrograph can be considered an in-between solution. We have listed example instruments using each technology at the bottom, see Table 2 and the text for extra details.

Fig. 4

Approximate spectral resolving power (vertical axis) versus date (horizontal axis) for the instruments listed in Table 2. Each labeled dot represents a polarimeter, we use black labels for space, rocket, and balloon-borne instruments. The different spectral mapping techniques are highlighted using colors, see legend. Note that, the reported resolving power may be the maximum achievable in a given instrumental configuration and/or a fraction of the working spectral range.

2.1.

Spectrographs

Given the high-spectral resolution required, SG-based solar polarimeters employ almost exclusively echelle gratings to maximize throughput. The preferred solution to effectively reduce one spatial dimension at the SG input is using a long slit. The slit substrate can also be used to reflect the light, corresponding to the unused portion of the FOV, to feed a context wide-band, slit-jaw imager (or, ideally, a parallel FG-based polarimeter, although this has not been tried³⁴). Slit SGs capture the full spectrum of the one-dimensional slit in a single exposure. However, they have to scan the solar surface to generate a 2-D map of an extended source. As a consequence, the resulting spatial information is not simultaneous in the scanning direction, and its quality is generally affected by the slit width and accuracy of the scanning system. In addition, the required scanning time can easily be larger than the solar evolution time, when aiming for high sensitivity and spatial resolution measurements of large targets, such as sunspots. However, SGs have been employed for synoptic observations (e.g., VSM), where SNR and spatial resolution requirements are less strict.

Due to the above-mentioned properties, SGs are usually considered as the low-spatial-resolution option when compared to FGs. Such a difference is even stronger in ground-based systems, where numerical image restoration techniques have been developed to reduce atmospheric seeing effects, and substantially improve the final spatial resolution of FG data, see e.g., the review in Ref. 127. Image restoration of ground-based SG data using traditional techniques has proven difficult, mainly because of the longer integration times involved and the absence of full spatial information. Previous works, see Refs. 128, 135, and 136, paved the way to a very recent development, see Ref. 129, that overcomes these limitations and uses the simultaneously recorded slit-jaw images, to estimate post-facto the seeing degradations and restore the spectra via a multiframe blind deconvolution.¹³⁷ This restoration allows reaching a resolution close to the optical diffraction limit in both spatial dimensions while preserving the full spectral information and increasing the polarization signal levels. Moreover, it has been applied to the visible spectral range and is currently being tested at SWIR wavelengths with GRIS+, see Table 2. Important improvements have also been made in multiline inversion techniques, which allow obtaining better estimates of atmospheric parameters, including sometime their height dependence, by simultaneously fitting the polarimetric profiles of many spectral lines.¹³⁶^,¹³⁸^–¹⁴² For a given polarimetric sensitivity, making use of multiple lines improves the SNR of the latter inferred parameters and is crucial to reach the high-resolution, high-sensitivity regime named in Sec. 1 under photon-starved conditions. Due to the latter and other multiline techniques, such as the line-ratio method,¹⁴³^,¹⁴⁴ the simultaneous observation of many lines, sometimes belonging to different spectral windows, has been exploited in the last decades of solar SG developments, see e.g., Refs. 61, 94, 117, 138, 145, and 146. Newer designs seek to follow or improve these capabilities in combination with higher spatial resolutions, e.g., ViSP and SPINOR are designed to simultaneously observe up to three and four visible wavelength ranges, respectively, and the exploration of the NUV regime aimed by SUSI will include a many-lines inversion, see Ref. 121.

2.2.

Filtergraphs

Different devices can be used to obtain narrow-band filtergrams, the ones that have been most successfully employed in solar spectropolarimetry are Michelson and Fabry–Perot interferometers (FPIs). The former were selected for the successful space-borne polarimeters MDI and HMI, see Table 2, mainly due to their better stability and smaller size.⁵³ However, Michelson interferometers are not suitable to observe multiple spectral lines. FPIs are highly reflective cavities with a known, tunable thickness. The most used types in ground-based devices are air-gap etalons, which can be rapidly tuned using piezoelastic actuators.¹⁴⁷ For balloon or space applications, crystal-based FPIs such as those based on solid lithium niobate wafers are preferred because they are lighter, more stable, and their resulting apertures smaller.⁴⁰ FPIs present high transmissions and a broader usable spectral range compared to Michelsons. On the other hand, they require higher voltages to operate and more effort has to be put in their thermal stabilization and tuning control, to ensure a stable response that is also homogeneous across the FOV. In spite of this, single or multiple FPIs are the preferred option in ground-based FGs, and they were the solution adopted by the design team of both the IMaX⁴⁰ and PHI instruments.¹⁰² Moreover, 10 of the 11 FGs in Fig. 4 use FPIs with the most common configuration (seven instruments) being two FPIs in tandem (or two beam passes of a single device) to increase spectral resolution and throughput (because broader prefilters can be used⁷⁶). A triple-FPI instrument, the Telecentric Etalon SOlar Spectrometer (TESOS¹⁴⁸), has also been successfully used in combination with different polarimeters, e.g., FSP and VIP, to perform high-resolution solar observations.

FGs record both spatial dimensions simultaneously with similar optical performance and have to scan in wavelength to sample the spectral line profile, see Table 1. Due to the former, combining FGs with image restoration techniques and adaptive optics systems is the preferred option to do high-spatial resolution polarimetry of extended solar targets, particularly for fast-changing events such as flares. Such a combination presents calibration challenges, particularly for ground-based systems, because different instrumental and ambient effects, e.g., telescope polarization and seeing, can be nonlinearly entangled.¹⁴⁹

2.3.

Integral Field Solutions

During any given frame exposure, both SGs and FGs miss (do not detect) a considerable number of photons that belong to the aimed solar signal because of their inability to cover the desired spatial and spectral FOVs simultaneously. Such a situation is not desired in high-resolution observations due to the already strict trade-off imposed by the limited flux and solar evolution (see Fig. 1). This is, along with the reduction of signal smearing and polarimetric artifacts, the main argument to develop integral field techniques for solar spectropolarimetry. Many devices have been developed that are capable of doing snapshot spectroscopy, i.e., mapping the full measurement cube ( $x$ , $y$ , and $λ$ ) on the two detector dimensions ( $x_{d}$ and $y_{d}$ ) in a single exposure, see Table 1 and the review in Ref. 150. This improvement comes at the expenses of a reduced spatial/spectral FOV, along with a more complex optical setup and data reduction. Spatial resolution is typically not sacrificed, for reasons of image restoration, which relies on critical sampling. Also, spectral resolution is typically not compromised because Stokes inversions rely on a given minimum sampling of spectral lines. Integral field solutions have been applied to night-time astronomical observations since their introduction in the 1960s.¹⁵⁰ On the other hand, the solar community started applying these methods more recently, partially motivated by the availability of sizable imaging detectors that can be used in large-aperture solar telescopes. The following five techniques, sketched in Fig. 3, are currently being developed for solar spectropolarimetry.

• Multislit spectrograph: The 2-D FOV is partially covered using $N$ slits that simultaneously feed a single SG. In order to accommodate the $N$ output spectra in a single detector avoiding any overlap, the slits have to be properly placed and special narrowband and order-sorting filters need to be employed. Note that this method is not strictly speaking an integral field solution because it does require substantial spatial scanning to image an extended source. However, the scanning time is reduced and the system throughput increased, both by a factor of $N$ compared to a single slit SG. This concept was first tried in solar astronomy in the 1970s without polarimetry¹⁵¹ and further applied in a few other instruments, e.g., Ref. 152. Recent implementations are the FIRS spectropolarimeter (see Table 2), which can use up to four slits and has two parallel spectral channels to observe simultaneously the lines near 6302 Å in the visible and 10,830 or 15,648 Å in the IR;⁶⁴ the experimental massively multiplexed spectrograph (mxSPEC¹⁵³) that is equipped with a 40-slits, full-disk spectrograph; and the higher-resolution version of the later, mSpeX.⁵²
• Subtractive double pass: Another technique that improves the single SG performance in terms on 2-D-spectroscopic capabilities is the subtractive double pass (SDP).¹⁵⁴ SDP was successfully employed to do solar spectroscopy in the 1960s¹⁵⁴^,¹⁵⁵ before the FPIs era. The technique was subsequently improved and has been continuously used up to date, see e.g., Refs. 156 157.158.159.–160, although with much reduced frequency than FPIs or traditional slit SGs and has not been considered in newer instrumental designs. In SDP, the slit at the SG entrance focal plane is removed and the desired 2-D FOV is dispersed by a grating. After passing a slit in the output focal plane of the SG, the beam path is reversed and projected back via the grating into an entrance focal plane. The resulting 2-D image shows a continuous variation of wavelength in the dimension perpendicular to the slit, see Fig. 3. The spectral bandpass is determined by the slit width. By adding the possibility to move the spectral slit, the 3-D spectroscopic data cube can be sampled. There are by the technical difficulties and large price tags involved when developing FPIs systems for large aperture ( $> 1 m$ ) telescopes. For example, the etalons being developed for the VTF instrument at DKIST, which are among the largest in the world (250-mm clear aperture with 3-nm RMS surface flatness), were very challenging (requiring an industrial consortium) and expensive (several million dollars) to manufacture. Motivated by the latter, SDP was recently implemented at the DST telescope by modifying the existing Horizontal Spectrograph (HSG¹⁶¹) to observe in the $H α$ line.¹⁶² Such a demonstration further supports SDP systems as a viable alternative to FPIs when aiming for high-spatial with moderate spectral resolution across a FOV compatible with large-aperture telescope requirements. Note that SDP is a time-multiplexed solution and thus presents the limitations named in Sec. 2.3.
• Fiber reformatting: This technique densely samples the focal plane, using an integral field unit formed by a bundle of optical fibers. The fibers are reformatted in the exit plane to form one or multiple long slits that are fed to an SG. Many challenges need to be faced to successfully manufacture the fiber bundle while avoiding defect fibers, cross-talk, and obtaining a light-efficient coupling. In addition, standard stock multimode fibers do not typically preserve polarization.¹⁶³ This technique was successfully implemented in the SpectroPolarimetric Imager for the Energetic Sun (SPIES¹⁶⁴^,¹⁶⁵), a testing platform for the upcoming DL-NIRSP (see Table 2), using a fiber bundle (named BiFOIS-4K¹⁶³) that reformats 15,360 cores to four slits. After the SG, the data cube is sampled with $60 \times 64$ spatial and 250 spectral pixels using a plate scale of 0.03 arcsec and 43 mÅ per pixel, respectively. A 90% yield was obtained with the engineering prototype of BiFOSI-4K, which is $\sim 20 %$ smaller than the one planned for DL-NIRSP. The latter will also observe in three simultaneous spectral channels, covering 500 to 900 nm, 900 to 1500 nm, and 1500 to 2500 nm approximately. Due to the difficulty of manufacturing large fiber bundles, a disadvantage of this approach is the limited FOV obtained when using a high-spatial resolution. This is why DL-NIRSP will employ a mirror-based scanning system to cover large objects, such as a sunspot, or the full FOV of the 4-m DKIST telescope.³²
• Image slicer: In this case, the focal plane reformatting is done using a stack of thin mirror slices. Each slice reflects a portion of the 2-D FOV to a different angle, where they are optically reformatted to form one or multiple slits that are fed to an SG. The manufacturing of such a device for solar observations is difficult because the slices have to be thin ( $< 100 μ m$ ) in order to achieve competitive spatial resolutions. In addition, a complex optical setup with several mirrors is required to reimage the many slices demanded to map a reasonable FOV. The limited FOV is usually fought using a complementary spatial scanning. An image slicing concept is being designed as part of the multislit image slicer based on collimator-Camara (MuSICa¹⁶⁶) for the future, 4-m European Solar Telescope (EST¹⁶⁷^,¹⁶⁸), which differs from the already proven night-time solutions. MuSICa requires fewer reflections (e.g., three compared to the five of the multiunit spectroscopic explorer, MUSE¹⁶⁹), reducing instrumental polarization. In addition, MuSICa has a symmetrical layout that simplifies manufacturing and alignment.¹⁷⁰ A downscaled prototype of MuSICa is being tested using the GRIS spectropolarimeter (see Table 2) at the 1.5-m telescope GREGOR.¹⁷¹^,¹⁷² For the final EST design, the MuSICa team foresees eight identical slicers to map an $80 {arcsec}^{2}$ FOV to eight slits of $0.05 \times 200 {arcsec}^{2}$ each. The slits will feed a single SG and the orthogonal polarization components of the resulting spectra will be imaged in a single detector using a dual-beam configuration (see Sec. 3). To accomplish this, a first macroslicer with eight $50 - μ m$ slices (among the thinnest ever made¹⁷⁰) and a second microslicer with 16 slices are required. Two different image slicers designs have also been subject to feasibility studies for future solar space missions, see Refs. 173 and 174.
• Microlens array: Another approach to snapshot spectroscopy is obtained by using a microlens array near the image plane, to create a sparse matrix of pupil images, one per lenslet. The void space in between the pupil images is filled with the individual spectra after a low-angle grating dispersion, without overlapping, provided that adequate filters are used. Such an approach was tried for solar observations in 1999 at the National Astronomical Observatory of Japan, see Ref. 175, using a $50 \times 50$ array of $600 μ m$ lenslets. The same team later combined the microlens SG with crystal-based polarization modulators but reported a limited spectral performance and stray light issues.¹⁷⁶ These drawbacks were considerably improved by the design of MiHi (see Table 2). This instrument, currently under development, employs a different optical configuration, which includes, among others, a second lenslet array and a stray light mask that are manufactured in the same substrate to avoid difficult coalignments. MiHi has been used to do both single and dual-beam (see Sec. 3.3) polarimetry with excellent results, e.g., reaching 0.3% polarimetric sensitivity after 1 s of integration with a spectral resolution of 330,000 and a fine spatial sampling of $0.065 arcsec / pixel$ . The microlens SG is a refractive instrument, thus it is not achromatic and can produce fringes, which demand a very stable setup to be properly calibrated.⁷⁴

3. Polarization Modulators

The basic working principle of imaging optical detectors is the photoelectric effect, this makes them primarily responsive to the intensity and wavelength of the incoming radiation. As a consequence, a necessary step to measure optical polarization is the encoding of the incoming Stokes vector into intensity images that can be registered using such detectors. This is the task of the polarization modulator and analyzer, namely, to perform the polarimetric mapping shown in Table 1. There are different techniques and components that can modulate spatially, spectrally, and/or temporally the output intensity based on the values of the input Stokes parameters.³⁵ The latter can be retrieved post-facto by linearly combining the acquired intensity images using the modulator’s response obtained in a separate polarization calibration procedure. There are various measurements and calibrations schemes, see e.g., Ref. 30, that require specific data reduction procedures. The later can be complex due to the occasional nonlinear entanglement of instrumental and ambient polarization effects and is an ongoing research area, see e.g., Refs. 33, 71, 177, and 178. Polarimetry is thus reduced to precision differential photometry. At least four intensity measurements are required to estimate the complete Stokes vector. This is a fundamental aspect of polarimetric measurements because systematic, differential photometric errors produce spurious polarimetric signals. Measuring the full Stokes vector is desired not only from a sensing point of view but also for instrumental reasons. In the presence of instrumental polarization (produced by e.g., the telescope or adaptive optics system), the calibration of the data cannot be done without measuring the four parameters or having extra information, e.g., a given parameter is known to be zero a priori. In the pursuit of high-precision measurements, much effort has been put into reducing such effects for the different modulation techniques used in imaging solar polarimetry; this particular requirement has driven the main instrumental developments.

There are many ambient and instrumental phenomena that are time-dependent and can produce spurious signals (see Sec. 3.1); additionally, some solar features can evolve rapidly (see Sec. 1.1). Therefore, it is desirable to perform the polarimetric analysis as fast as possible. This can be attempted either with very fast ( $> kHz$ ) temporal modulation or with spatial or spectral modulation. Limitations in cadence and noise levels of the relatively large ( $> 1 M pixel$ ) imaging detectors required, have restricted the application of very fast temporal modulation. Full Stokes spatial or spectral technologies have not been successfully applied to do high-sensitivity solar polarimetry mainly due to current limitations in design and in the calibration of the separate measurement channels. By far the most employed technique used in ground and space-based solar polarimetry (22 of 27 instruments in Table 2) is a combination of full-Stokes temporal modulation ( $< 100 Hz$ ) and partial spatial modulation (two channels) known as the dual-beam setup, see Sec. 3.3. This is because of its ability to partially reduce seeing and jitter-induced artifacts, and the increased photon efficiency. Recent developments in polarization modulation techniques for solar observations mainly focus on increasing temporal modulation frequency, developing optical components for full-Stokes spatial modulation, increasing the spectral coverage while maximizing polarimetric efficiencies, and testing newer devices for snapshot polarimetry, such as polarization cameras or holographic elements. Extra details and examples are given in the following sections.

3.1.

Temporal Modulation

In a temporal modulation scheme, the modulator periodically changes its optical properties with time, to modify the polarization of the input beam and encode the Stokes parameters in fluctuations of the linear analyzer output intensity. All the instruments in Table 2 make use of temporal modulation. Depending on the employed device, the modulator can change properties between the desired states in a continuous and smooth way, or in a discrete fashion. In any case, the intensity value at each modulation state is registered using a scientific camera. Note that, even though the camera exposures have to be in phase to the modulation states, the actual detector readout could be done out of synchronization.¹⁷⁹ When doing one readout per modulation state, i.e., synchronous approach, the maximum modulation frequency (number of full-Stokes measurements per second) is limited by the maximum camera frame rate. In the asynchronous approach, frame exposure and readout are decoupled due to a special sensor design (see Sec. 4), allowing for frame rate and polarization modulation frequency to be independent.

The values of the Stokes parameters are retrieved by linearly combining the registered intensity images. As mentioned above, such an approach is sensitive to photometric effects varying on timescales faster or close to the modulation frequency. Since the frequencies used in modern polarimeters are higher than 1 Hz, see below, instrumental effects related to thermal drifts and telescope configuration changes are commonly not a concern in this context. On the other hand, frame-to-frame camera artifacts and image jitter are typically an issue. The latter is generally related to the operation of Sun-tracking and adaptive optics systems or to uncontrollable vibrations in the telescope structure/building.⁴⁰^,¹⁸⁰^,¹⁸¹ The most relevant ambient effect in ground-based systems is the spurious polarimetric signal introduced by atmospheric seeing, a.k.a. seeing-induced crosstalk, see e.g., Refs. 181 and 182. The typical time scales of seeing evolution for daytime observations in competitive observing sites are of the order of 10 ms,¹⁸³ making this a suitable exposure time if post-facto image restoration wants to be used to reduce aberrations. It has also been shown using numerical simulations¹⁸⁴ and measurements³⁹ that seeing-induced crosstalk considerably reduces, down to few times 0.01%, for modulation frequencies above 100 Hz, and drops below the detection limit in the kHz regime.¹⁸⁵

As a consequence of the above, instrumental developments using a temporal modulation scheme aim for a high modulation frequency to reduce jitter and seeing-induced artifacts. Most of the designs employ standard charge-coupled devices (CCDs) or complementary metal-oxide semiconductor (CMOS) architectures in a synchronous readout approach. Therefore, the availability of fast, low-noise cameras has been the bottle neck limiting the modulation frequency of high-precision polarimeters to below $\sim 100 Hz$ , see Fig. 5. We note that fast commercial cameras have been employed in high-flux applications, where detector readout noise is not a problem. Such as is the case of the high-cadence ( $\sim 900 fps$ ) polarimeter at the Japanese Solar Flare Telescope.¹⁸⁶^,¹⁸⁷ The dual-beam setup employed by the majority of the current polarimeters circumvents the limitations in modulation frequency to some extent, see Sec. 3.3. Two exceptions to the latter are the FSP, which employs a custom-made, low-noise 400-fps CCD detector in synchronous readout to reach 100-Hz modulation frequency; and ZIMPOL, which is the only precision polarimeter that can achieve a very high frequency (in the 10 kHz range) by employing a specially masked CCD detector that allows asynchronous readout, see Sec. 4.3.

Fig. 5

Detector frame rate (vertical axis) versus modulation frequency (horizontal axis) for the polarimeters listed in Table 2. Each labeled dot represents a polarimeter, we use black labels for space, rocket, and balloon-borne instruments. The colors of the dots are used to highlight the different technologies employed for temporal modulation (see legend). The dashed lines separate different regimes relevant to ground-based observations. For frame rates above $\sim 50 fps$ (regime labeled 1), the image exposure time becomes well-suited for the implementation of post-facto image restoration, to reduce the aberrations produced by atmospheric seeing. Seeing not only reduces spatial resolution but also introduces polarimetric artifacts. For modulation frequencies below $\sim 100 Hz$ (regime labeled 2), these artifacts can be in the 1% level and thus most instruments employ a dual-beam configuration. For modulation frequencies well above $\sim 100 Hz$ (regime labeled 3), the polarimetric effects of the seeing are negligible. This regime has been explored by the ZIMPOL instrument, which employs an asynchronous readout scheme, i.e., modulation frequency and detector frame rate are independent. All the other instruments have a synchronous readout and thus the modulation frequency is limited to typically a fourth (for crystal modulators) or an eighth (RWPs) of the detector frame rate. Note that both axes have a logarithmic scale. See the text for extra details.

Retarders modify the polarization of an incoming beam by introducing a phase difference between the two orthogonal components of the electric field vector. Different kinds of retarder-based solutions can be used to temporally modulate a beam. They differ mainly in their switching time (for electro-optical types), optical quality, available apertures, stability, and operational spectral range. Common design issues among these are the following, see also Refs. 33 and 178, (a) the presence of polarized fringes;¹⁸⁸ (b) the variations of the retardance with beam angle of incidence and temperature;¹⁸⁹ and (c) the inability to keep the modulator response (quantified by its modulation matrix) constant across the desired spectral range, even when using a combination of achromatic or superachromatic retarders (the most common type is Pancharatnam configurations.¹⁹⁰^,¹⁹¹). In modern designs, the latter issue is faced by giving up the modulation matrix achromatism, to obtain a simpler optical design that minimizes fringes and maximizes throughput among others, and performing a polarization calibration at each wavelength of interest. Once the desired accuracy of such a chromatic calibration procedure is achieved, the main design driver of the modulator becomes the optimization of the polarimetric efficiencies for the desired spectral range.¹⁹² The devices that have been used or are being tested for solar spectropolarimetry are described below.

• Rotating waveplate (RWP): This solution employs an electric motor to rotate a waveplate and produce a smooth variation of its fast optical axis orientation. The main advantage is that waveplates with highly customizable retardances can be manufactured to work in most of the optical spectrum, with high surface quality and homogeneous properties across their clear aperture, and that they are stable in time.³⁵ RWPs typically present a broader working spectral range, up to few hundred nm, and can be used in spectral windows where liquid crystal (LC) solutions are not suitable, particularly in the UV regime below 400 nm. On the other hand, RWPs have characteristic disadvantages:⁹⁶ (a) the moving parts imply a more complex instrument design due to the increased mass, power consumption, and vibrations; (b) the mechanical rotation plus unavoidable misalignments and residual shape errors in the waveplate introduce a variable beam synchronous to the modulation;¹⁷⁹ (c) nonuniformities in the rotation; and (d) the modulation frequency is mechanically limited by the retarder rotating speed to below $\sim 25 revolutions s^{- 1}$ .¹⁹³ Both (b) and (c) render the RWP prone to crosstalk errors and require elaborate and costly engineering. Image stabilization techniques and high-quality RWP units have been produced for reducing wobbling and jitter, this is particularly the case for space and rocket-based instruments, where this technology has achieved the highest readiness levels, e.g., see SP or HMI in Table 2. For example, the modulator employed in the recent sounding-rocket CLASP (see Table 2) employs an actively controlled RWP unit that can damp nonuniformities and wobbling to reduce polarimetric errors down to the 0.01% level.¹⁹⁴ For ground-based systems, where design constraints are more relaxed, budget is generally lower, and higher modulation frequencies are required to reduce seeing effects, RWPs are typically replaced by the more convenient electro-optical modulators, whenever the targeted spectral range allows it.
• Liquid crystal variable retarder (LCVR): A thin layer of birefringent LC contained between two glass plates and a pair of electrodes can be used to change the polarization of a beam propagating perpendicular to the plates. By applying a voltage to the electrodes either the aspect ratio or the orientation of the individual crystals can be controlled, producing a modification of the device retardance or its optical axis orientation. The first kind is called LCVRs with the most common type employed being nematic LCs. Crystal-based modulators avoid the issues introduced by moving parts and can reach higher modulation frequencies compared to RWPs. On the other hand, large devices are difficult to produce and their optical properties can considerably change with temperature and across their clear aperture. LCVRs have traditionally been the slowest of the LCs used in solar polarimetry with switching times of the order of 10 ms. Moreover, the switching of these crystals is asymmetric, i.e., it takes a longer time to switch from low to high retardance, which is done by removing the supply voltage. Higher voltages can be used to overdrive nematic LCs and reduce their switching time,¹⁹⁵ this at the expenses of an increase in thermal sensitivity.⁷¹ Recent improvements in LCVRs manufacturing are bringing their switching time down to the 1-ms level.³⁶ LCVRs can be generally manufactured with larger apertures than other LCs ( $\sim 50 mm$ ) and can be made more achromatic if two crystal layers are combined.¹¹³^,¹⁹⁶ LCVRs were successfully employed in the balloon-borne IMAX instrument and have been recently space qualified¹⁹⁷^,¹⁹⁸ and included in the PHI spectropolarimeter on board of the Solar Orbiter mission, see Table 2. Other recent LCVR developments in solar polarimetry include studying devices with different working principles, such as dual-frequency LCs (see below).
• Ferro-electric liquid crystal (FLC): FLCs can also be confined in thin layers to produce a device with electrically controllable polarization properties. The orientation of the FLCs fast optical axis rotates between two bistable positions when the applied voltage switches polarity.¹⁹⁹ The typical switching angle is 45 deg and the retardance, controlled by the plate thickness, half the central working wavelength. Two FLCs can be used to produce the four modulation states required to measure the complete Stokes vector. FLCs switch significantly faster ( $\sim 100 μ s$ level) than other LCs, two or more devices can be combined to work in the 400- to 1700-nm wavelength range approximately and are a very commonly used solution in ground-based solar polarimeters, e.g., 13 of the 19 ground-based instruments in Table 2 use FLCs. The main drawbacks of FLCs are the strong thermal sensitivity of their retardance and switching angle, demanding an accurate ( $\sim 0.1 ° C$ ) temperature control in any high-precision ( $\sim 0.01 %$ ) application; the strong dispersion of their retardance;²⁰⁰ and that they are limited to small apertures (typically of order 10 to 40 mm) mainly due to their vulnerability to mechanical stress. If high polarimetric efficiencies are required in a broad spectral range, the strong dispersion is handled by combining FLCs with static retarders to minimize the spectral dependence of the efficiencies. This procedure was introduced in Ref. 192 and applied in, e.g., the FSP, see Table 2.
• Piezoelastic modulator (PEM): PEMs are based on glass that becomes birefringent under mechanical stress.²⁰¹ A standing acoustic wave is created using piezoelectric transducers at the resonance frequency of the glass plate, producing an equally rapid modulation of its retardance. They can be used at wavelengths that range from the vacuum UV to the IR. However, given that the crystal size defines the resonance frequency, only very high modulation frequencies can be used (20 to 50 kHz) for practical PEM apertures of the order of several 10 mm, ruling out any application with synchronous camera readout.¹⁷⁹ Additionally, no full-Stokes modulator has been developed due to the practical difficulties of the required phase locking of two PEMs.¹⁹⁹ Another type of resonant temporal modulator, similar to PEMs, was foreseen using Pockels and Kerr cells. However, partially due to the small apertures available such technology did not see widespread application in solar polarimetry.⁵⁵^,¹⁹⁹
• Dual-frequency liquid crystal (DFLC): DFLCs are a kind of LCVR that are under study to be used in solar polarimetry.²⁰² The retardance of a DFLC changes between a very low (ideally 0) and a manufacturing-tunable value (e.g., half wavelength), when the frequency of the applied voltage surpasses a critical number.²⁰³ Initial studies suggest that two DFLCs can be combined with two static retarders to produce a full-Stokes modulator with achromatic polarimetric efficiencies in the 600- to 900-nm range. The main advantage of DFLCs is that they can switch as fast as FLCs²⁰⁴ but can be produced with larger apertures. The latter is relevant for application at future large-aperture solar telescopes.

3.2.

Spatial Modulation

The Stokes vector can also be modulated in space using devices that split the incoming light into spatially separated polarimetric channels. Such an approach can be used to measure multiple Stokes parameters simultaneously, by linearly combining the intensity signals registered in the different channels. With two or three channels, only specific components of the seeing and jitter-induced artifacts are reduced, see Sec. 3.3. On the other hand, if the full Stokes vector is instantaneously sampled (minimum four channels), these artifacts vanish, see Sec. 3.1. Similar to the spectroscopic case, spatial modulation has also the benefits of reducing artifacts and smearing due to the evolution of solar signals and of increasing SNR by making use of all the available photons reaching the modulator at a given time. Spatial modulators, however, are susceptible to differential effects among the polarimetric channels. Although imaging, full-Stokes, spatial modulators have been developed using a variety of solutions, such as prism-based, four-way splitters for the visible and IR;²⁰⁵^,²⁰⁶ a Fourier-transform modulator based on calcite wedged crystals;²⁰⁷ or a six-way splitter based on a Wollaston prism array;²⁰⁸ they have not been definitively demonstrated in a competitive solar polarimeter. This is due to their apertures, differential wavefront aberrations, throughput, and polarimetric efficiency figures, which are not compliant with the required spatial resolution, FOV, and sensitivity levels compared to the well-proven dual-beam solution, see Sec. 3.3. Note that a full-Stokes, spatial modulator with the required optical performance is highly desirable because in combination with existing integral field spectrometers, as done for night-time astronomy,²⁰⁹ it can be used to do high-resolution, snapshot solar spectropolarimetry, see Table 1. Recent relevant devices developed for spatial modulation are high-quality micropolarizers and microretarders grids, attached in front of imaging detectors to produce polarization cameras (see Sec. 4) and polarization gratings, see Sec. 3.4.

3.3.

Spatiotemporal Modulation

The most widespread type of polarization modulation used in solar instruments is spatiotemporal, in the form of a dual-beam setup. A device that can split the beam in its two orthogonal polarization components is used as linear analyzer and located after the temporal modulator (on of the types discussed in Sec. 3.1), see e.g., Refs. 182 and 210. Two detectors, or two sections of the same detector, are used to image both orthogonal beams. The combination of two simultaneous measurements, either by doing joint or independent demodulations,²¹¹ eliminates the most important component of jitter and seeing-induced artifacts,¹⁸⁵^,²¹⁰ namely the crosstalks from Stokes I to Q, U, and V. The main factors limiting the accuracy of the dual-beam technique are optical differences among the two beam paths, difficulties in the beams coregistration and the inability to calibrate the detectors differential gain tables and nonlinearities below the $\sim 0.1 %$ ³⁶^,²¹⁰ level, see Sec. 4. Many improvements have been made in birefringent materials, in the beamsplitting crystal cement layers and antireflective coatings, to produce two-way polarizing beam splitters that have high extinction ratio, transmission, and surface quality, in sufficiently large spectral windows from the UV to the IR.²¹² Most of the beam splitters used in solar polarimetry are different realizations of beam displacers,²¹³ beam splitter cubes, and Wollaston prisms. They are optimized for each specific instrumental setup including the required spatial splitting (related to the detector size and optical layout), wavelength range and extinction ratio. Table 3 lists the most commonly used devices along with other interesting custom designs or assemblies.

Table 3

Polarizing beamsplitters used in solar spectropolarimetry. For each solution, the table gives the device name, a short comment or description, and example instruments. The corresponding references in Table 2 can be consulted for further details on each technology. The customs designs were specially developed and demonstrated for the specified instrument.

Device	Comments/description	Instrument
General purpose designs
Wollaston prism	The output beams are refracted at nearly opposite angles. Broadly employed in night-time polarimetry but not in solar applications. Used near a pupil plane, which increases differences between the optical paths.⁷⁶^,²¹⁴	FIRS/IR, VIP
Modified Savart plate	The two refracted output beams are parallel. Typically located close to the detector. Widely used in solar polarimeters.	IBIS, SP, DLSPII, VSM
Wire-grid polarizer	Based on a wire-grid linear polarizer, implemented with thin-film technology.²¹⁵ It has lower performance compared to crystal-based devices, for narrow band and/or photon-starved applications.	SPINOR
Beam splitter cube	The two beams output at a large angle, e.g., 90 deg, and imaged in two separate detectors. Broadly used in solar, including space-borne, polarimeters.	IMAX, HMI, CRISP, SUSI, SCIP
Custom designs/assemblies
Five-cubes	Five thin-film, beam splitter cubes are cemented together to produce the splitting.¹¹⁷ The output beams are parallel and travel identical optical paths within the device	GRIS
Double Wollaston	Two Calcite Wollaston prisms are combined, the first one acts as beam splitter while the second one produces two parallel beams at the output.	NIRIS
Normal refractions	The beam displacement is accomplished by using four cemented crystal pieces made of fused silica.⁷³^,²¹⁶ Wavelength-dependent refraction is completely eliminated in this design due to normal incidence and exit angles. Both beam paths are identical	FSPII
Broadband	A first beam splitter cube produces two orthogonal beams, which are then subject to two mirror reflections each, to make them parallel. After traveling the same path, both beams are reimaged to a single detector using relay lenses.	ViSP
Ultraviolet	The beamsplitting is accomplished by two reflections on two ${MgF}_{2}$ birefringent plates placed at the Brewster angle.	CLASP

An alternative technique used to do spatiotemporal modulation is the beam exchange,²¹⁷ which is similar to the dual beam except that it requires an extra measurement. The latter is acquired after exchanging the beams of the two channels using, e.g., a rotating half-wave plate as done in the first solar application, see Ref. 218. The four acquisitions are later combined to reduce both crosstalk from Stokes I to Q, U, and V, and the artifacts produced by differential sensor gain tables. The beam exchange is commonly used in night astronomy polarimeters (e.g., Ref. 219) and was further explored in solar observations with promising results.²²⁰ However, it was never broadly adopted. The extra measurement required makes the SNR versus spatial resolution trade off even worse, see Fig. 1.

3.4.

Spectropolarimetric Modulators

The development of devices with the ability to perform both the spectral and polarimetric analyses simultaneously, see Table 1, has experienced a strong growth in the last 10 years resulting in various original instruments for astronomy and remote sensing.²⁰⁷^,²²¹^–²²⁶ These concepts have not seen similar proliferation in solar polarimetry, mainly because the realization of a system that can image an extended solar target with competitive spectral and spatial resolution, FOV, and polarimetric sensitivity has not been demonstrated. Two popular techniques are (a) channeled polarimetry,²²⁵^,²²⁷ which can be used to encode the input Stokes parameters either into intensity variations of the output spectrum²²²^,²²⁴ or into a set of spatial fringes.²⁰⁷ The polarization information is commonly retrieved via reconstruction algorithms that involve fitting the imaged observables. And (b) polarization holography, which utilizes gratings with anisotropic profiles that can be tuned to disperse the beam at different orders depending on its polarization state.²²⁸^,²²⁹ Polarization gratings²³⁰ sensitive to linear polarization only present high efficiency ( $\sim 99 %$ ²³¹) in a broad spectral range and has been used as analyzers in astronomy.²³² The combination of several polarization gratings has been recently used to form a full-Stokes modulator known as polarization holographic element²³³ and applied in a solar polarimeter, see Refs. 234 and 235. The performance of the reconstruction algorithms, along with the extra demands imposed to the spectral resolution and range and the inability to image extended sources without extra spatial scanning,²²¹ has diminished the implementation of channeled polarimetry and polarization holography to solar observations so far.

4. Imaging Detectors for High-Precision Polarimetry

The detector used to register the modulated intensity signal is a crucial component of any imaging solar polarimeter.¹⁷⁹ The great majority of instruments use standard CCD or CMOS sensors, although the latter are preferred in recent designs. In spite of this, the notable success of the specially modified detector used in ZIMPOL, and recent advances in polarization cameras and active pixel sensors motivate also the development of custom solutions. Due to the differential nature of the polarization measurements and low photo-electron counts obtained in high-resolution solar applications, there are specific aspects of the detectors that gain relevance compared to spectroscopic or broadband imaging applications, see e.g., Ref. 39. Some of these are described in the following sections, within the context of each detector technology.

4.1.

CCD Detectors

CCDs, see e.g., Ref. 236, were the first kind of imaging detectors adopted for solar polarimeters.²⁹ Given the architecture and working principle of CCDs, most notably the absence of readout transistors within the pixel structure, they have historically offered a more linear and spatially homogeneous response than the later-introduced CMOS.²³⁷^–²³⁹ However, sharing a single charge readout amplifier among many pixels strongly limited the maximum achievable frame rate, particularly for large detectors. This was a major drawback when trying to employ CCDs for synchronous detection in a temporal modulation scheme (see Sec. 3.1), and what motivated the development in the 1990s of the ZIMPOL concept for ground-based solar observations, see below. CCDs are of wide-spread use among modern solar polarimeters of all platforms (13 of 27 instruments in Table 2 use CCDs), with the main architecture of choice being frame-transfer to maximize duty cycle (critical in photon-starved conditions such as solar spectropolarimetry). Modern scientific CCDs present low readout noise figures (order of 1 to $50 e^{-}$ RMS), important to minimize integration time in photon-starved conditions; high quantum efficiency, mostly in silicon-sensitive spectral ranges (from $\sim 300$ to $\sim 1100 nm$ plus the x-ray); and large full well capacity (order of $300 k e^{-}$ ). Relevant calibration issues when applying them to polarimetry are common-mode noise²³⁶ and frame-to-frame variable offsets, which can be reduced by subtracting the signal of specially shielded pixels;³⁹ response nonlinearities,²⁴⁰ that can be calibrated down to below $\sim 1 %$ using look-up tables;¹¹⁷ and, for shutter-less designs, frame-transfer artifacts that can be numerically corrected.²⁴¹ The need for large sensors areas, to properly sample the focal plane of bigger telescopes; for higher frame rates; and the great performance improvements and cost reductions, has motivated the usage of CMOS solutions in many recent instruments, i.e., all polarimeters dated 2017 or beyond in Fig. 2 employ CMOS detectors.

4.2.

CMOS Detectors

CMOS detectors²⁴² are characterized for having the charge to voltage amplifier (and sometimes signal-processing circuitry) within each individual pixel. This imposes size constraints, which result in performance and calibration limitations²³⁷ that traditionally diminished the application of CMOS to high-sensitivity polarimetry. Partially driven by the mass consumer electronics market and industrial applications, the performance and diversity of CMOS detectors have radically improved in the last decade.²⁴³^,²⁴⁴ The most relevant aspects that have motivated the usage of CMOS sensors in recent ground- and space-based solar polarimeters are the following. (a) Correlated multiple sampling and other techniques have strongly reduced readout noise levels to $\sim 2 e^{-}$ RMS or even lower,²⁴⁵ see Fig. 6. If large well-capacity and frame rate are used then common figures are $\sim 40 e^{-}$ RMS. (b) Many detectors provide, in addition to the traditional rolling-shutter, a global-shutter readout scheme, which allows exposing all the pixels simultaneously and while the charges of the previous exposure are being read. This increases duty cycle to practically $\sim 100 %$ and is particularly beneficial in temporal polarization modulation.²⁴⁶ (c) Further miniaturization of gate structures, the usage of microlens arrays, and developments in backside illuminated devices have substantially increased quantum efficiency and filling factors in CMOS detectors to make them comparable to CCDs. Moreover, hybrid CMOS detectors can function in IR and UV bands where CCDs are not sensitive. Three examples from Table 2 are the nitrogen-cooled HgCdTe cameras (sensitive up to $10 μ m$ ) used in GRIS; the InGaAs cameras used in GRIS+, which present efficiencies above 70% for 1000 to 1700 nm and low dark current using only thermoelectric coolers; and the back-illuminated, thinned UV detectors selected for SUSI, which have $\sim 80 %$ efficiency at 250 nm.²⁴⁷ (d) CMOS detectors are nowadays produced with sufficient homogeneity and fewer cosmetics defects for sizes up to 20 Mpixel. (e) Multiple parallel outputs (typically one or two per column) and higher readout frequency allow for high cadences with low noise, e.g., the SUSI UV detector can reach 48 fps with $1.4 e^{-}$ RMS read noise in a 4-Mpixels format, whereas GRIS+ InGaAs camera can run at 95 fps with a 1.3-Mpixel resolution. (f) Current CMOS manufacturing technology can produce pixels that are small (5 to $10 μ m$ ) helping to produce more compact and simpler instruments that minimize instrumental errors. (g) CMOS sensors have been proven resistant to radiation harness and have been space qualified to be used in solar polarimeters, e.g., as in PHI,²⁴⁶ see Table 2. (h) Response nonlinearities are particularly detrimental in polarimetry.²⁴⁰ Due to the coexistence of charge well and amplifiers within the same pixel structure, CMOS sensors response is more nonlinear than that of CCDs. Due to this, special characterization techniques have been developed to, e.g., measure conversion gain²⁴⁸ and quantum efficiency.²⁴⁹ Nonlinearities have been calibrated below the 1% level in some cases,⁹⁶ e.g., for HMI (see Table 2). However, the accuracy of such a calibration can be strongly sensor-dependent due to the specific hardware solutions implemented by the manufacturers for readout and power supply. For example, the CMOS detectors used in MiHi, see Table 2, present a nonlinear dependence of the pixel signal with the illumination level of the corresponding row, due to deficiencies in the shared ramp analog-to-digital converter.²⁵⁰ In addition to the nonlinearity issue, CMOS presents other disadvantages including small well depths, typically in the $30 k e^{-}$ range, and they have not been fully demonstrated suitable to do very high sensitivity ( $10^{- 4}$ or below) polarization measurements of the Sun.

Fig. 6

Detector size (vertical axis), readout noise (horizontal axis), and technology (colors, see legend) for most of the polarimeters listed in Table 2. We use black labels for rocket, space, and balloon-borne instruments. Note that both axes have a logarithmic scale.

4.3.

Custom Detectors

The most successful custom-sensor developed for solar polarimetry was done for ZIMPOL.²⁵¹ ZIMPOL uses a specially masked CCD detector with three out of four rows covered. In combination with a synchronous charge shifting, the mask allows the separate accumulation of the photo-charges corresponding to the four different modulation states. The accumulation typically includes a large number of modulation cycles between subsequent frame readouts.²⁵² ZIMPOL allows for fast modulation up to some 10 kHz (in combination with PEMs as polarization modulators, see Sec. 3.1), virtually eliminating seeing and jitter-induced artifacts and reaching $10^{- 5}$ polarimetric sensitivity. Further, the decoupling between modulation frequency and frame rate allows to accumulate a large number of photo-charges, corresponding to a significant fraction of the full well, and thus to mitigate the effect of readout noise. However, the ZIMPOL approach also presents drawbacks, in particular when high spatial resolution is required.³⁹ These are the nonsquare pixels resulting from the usage of a microlens array, required to maximize filling factor, which produce two different spatial sampling frequencies that complicate image restoration; up to date the ZIMPOL concept has been implemented in slow readout sensors ( $\sim 2 fps$ ) limiting the study of fast events and the application of image restoration techniques in combination with high duty cycle. The FSP, used a frame-transfer, fully depleted CCD detector²⁵³^,²⁵⁴ that was custom-made with column parallel readout. The 400 fps, almost 100% duty cycle and low noise ( $4.9 e^{-}$ RMS) of the detector allowed FSP to avoid seeing effects and reach the $\sim 0.01 %$ polarimetric sensitivity level using FLC-based temporal modulation only.³⁹ However, the sensor was small ( $264 \times 264 {pixel}^{2}$ ) and the development of a full-sized version ( $1024 \times 1024 {pixel}^{2}$ ) proved difficult and expensive when compared with CMOS competitors. The prototype of another very promising custom detector type for polarimetry has been developed very recently: the Quadropix depleted p-channel, field-effect transistor (DePFET).²⁵⁵^,²⁵⁶ It involves using a (DePFET) active pixel sensor that consists of four subpixel structures for each individual pixel. The subpixels can be controlled such that only one accumulates all the photocharges generated in the pixel during a time interval that corresponds to a given modulation state. The switching time between subpixels is extremely short (order 10 ns) allowing a combination with fast modulators such as PEMs or FLCs. This solution has the same benefits than the ZIMPOL approach but avoids sensor masking and the usage of microlens array. In contrast to the current version of ZIMPOL, the DePFET sensor technology employs fast column-parallel readout similar to the CCD detector type used in FSP. With the present VERITAS readout ASICS²⁵⁷ available for the DePFET sensors, frame rates of order 100 fps will be possible for 1 Mpixel sensors. The noise properties of the DePFET Quadropix are on the same excellent level as the CCD used in FSP, mainly because of the very similar readout electronics architecture.

4.4.

Polarization Detectors

Another custom detector design for polarimetry that has seen important developments in the last decade, due to the rapid progress in microlithography, is the polarization detector. These devices can be manufactured using pixel-size micropolarizers or microretarders in front of the imaging detector, which is accomplished by writing subwavelength periodic structures that work as wire-grid polarizers or retarders on the semiconductor material. Polarization detectors sensitive only to linear polarization have proven to deliver 0.3% sensitivity in astronomical applications.²⁵⁸ Moreover, due to their dramatically smaller size, lower power consumption, mechanical robustness, and snapshot-capabilities, among others; polarization cameras are ideally suited for space, balloon, or rocket applications. They have been recently used to explore visible coronal emission lines during the 2017 total solar eclipse in the United States, mainly as a demonstrator for a balloon-borne coronagraph²⁵⁹^,²⁶⁰ currently under development. Polarization detectors use spatial modulation and thus different neighboring pixels have to be combined to retrieve the Stokes parameters, e.g., four to measure Stokes I, Q, and U.²⁶¹ This has two main effects: first, the FOV and/or spatial resolution are restricted. Second, the polarimetric sensitivity is limited by the ability to calibrate the differential effects among the combined pixels, e.g., optical aberrations. Full-Stokes polarization cameras are typically obtained using two detectors, one of which is combined with a retarder to be sensitive to circular polarization;²⁶² or using a single detector and a crystal-based, temporal modulator.²⁶³ To the best of our knowledge, these have not been used in solar applications yet.

5. Summary

In this review, we have described the main technology used in state-of-the-art solar spectropolarimeters developed in the last two decades, see Sec. 1.2. An emphasis was made on full-Stokes, optical instruments that aim to obtain the challenging high-resolution, high-sensitivity data demanded by many important open science questions (see Sec. 1.1). We have also included some instrumentation and technological concepts under development to provide an outlook on promising future design directions, particularly in the light of the upcoming, large-aperture solar telescopes. We summarize below the most relevant points arising from each section of the paper.

5.1.

Wavelength Discriminators

• State-of-the-art polarimeters use multiple Fabry–Perot filtergraphs or echelle spectrographs, which are both mature technologies that can adequately sample most of the targeted solar spectral lines. Recent efforts focus mostly on increasing efficiency in the UV and IR spectral regimes and observing many spectral lines simultaneously (see Sec. 2) with increased spatial resolution.
• A technique for post-facto image restoration of spectrograph data has been recently demonstrated. It considerably improves the achievable spatial resolution of slit-spectrograph scans across a 2-D solar image (see Sec. 2.1).
• Lithium niobate FPIs have been space qualified and included in the PHI instrument, bringing an alternative to the Michelson-based approach used in MDI and HMI (see Sec. 2.2).
• Five integral field solutions are being developed and have been tested for high-resolution solar polarimetry. These devices can perform snapshot-spectroscopy, thus improving data simultaneity and the overall SNR when imaging extended sources, and are a priority for large aperture solar observatories. The resulting spatial and spectral FOV is limited requiring a complementary spatial scanning system for large (e.g., sunspots) targets (see Sec. 2.3).
• The challenging IR spectral domain (useful to study the important chromosphere and transition region) will be further explored by the 4-m DKIST with great sensitivity up to $5 μ m$ . The UV regime is still poorly explored in terms of spatially resolved spectropolarimetric measurements. The rocket-based CLASP has performed such measurements in the Ly alpha 121 nm line. The upcoming balloon-borne SUSI is designed to explore the 300- to 400-nm band (see Sec. 2).

5.2.

Polarization Modulators

• Temporal modulation using synchronous readout is still limited to seeing-vulnerable frequencies ( $\sim 100 Hz$ ), by the detector frame-rate and readout-noise figures (see Sec. 3.1). As a consequence, the great majority of high-sensitivity, current, and upcoming instruments use a dual-beam configuration to reduce the main component of seeing and jitter-induced artifacts, namely measurement errors in form of crosstalk from Stokes I to Stokes Q, U, and V; and to improve photon efficiency (see Sec. 3.3). Some exceptions are ZIMPOL, FSP, and few fast instruments found in high-flux applications (see Sec. 4). The dual-beam technique is still mostly limited to $\sim 0.1 %$ sensitivities by differential effects among the channels, including optical aberrations and camera stability or calibration issues.
• The most common technology for ground-based, temporal modulation in the visible and IR spectral bands are crystal-based. FLCs are used, whenever their limited aperture permits, because they are faster than the alternative LCVRs. For the upcoming large-aperture telescopes, this is an issue and thus DFLCs are being explored. They are as fast as FLCs and can be produced with larger apertures (see Sec. 3.1).
• LCVRs have been recently space qualified and included in the PHI instrument. This brings an alternative to the mature and space-proven RWPs, although within a more limited spectral range (see Sec. 3.1).
• To date, full-Stokes spatial modulators with the required performance have not been developed yet. When combined with integral field solutions, they are a promising alternative to do high-resolution snapshot solar spectropolarimetry (see Sec. 3.2).
• There are many different types of polarizing beam splitters used in dual-beam setups, depending on wavelength range, polarimetric sensitivity, and optical setup (near pupil versus near a focal position). Polarization gratings are now an alternative although untested in a solar application (see Sec. 3.3).
• Two techniques for imaging spectropolarimetric modulation have recently produced interesting results in astronomy, i.e., channeled polarimetry and polarization holography, although with limited performance compared to the requirements in high-resolution solar applications. Only the latter has been tested in a full-Stokes solar polarimeter (see Sec. 3.4).

5.3.

Imaging Detectors

• CMOS detectors have made great improvements in the last decades, mainly in terms of cost reduction, noise, frame rate, detector size, and stability. Moreover, their increasing usage has pushed back CCDs in many upcoming instruments. However, careful calibration, which can be strongly manufacturer-dependent, is required to reduce nonlinearities and crosstalk, among others (see Secs. 4.1 and 4.2).
• Hybrid CMOS detectors dominate IR applications with InGaAs cameras now offering competitive cadence and noise figures with convenient thermoelectric cooling. In the UV, back-illuminated CMOS detectors can reach high-quantum efficiency levels while offering frame rates in the tens of Hz range and few-electrons noise (see Sec. 4.2).
• The ZIMPOL solution is still the only high-sensitivity instrument that can consistently operate in the kHz and 10 kHz regime due to a custom-made sensor design. Other similar approaches are under study based on DePFET sensors (see Sec. 4.3).
• Polarization cameras have made great improvement in recent years and have been proven in astronomy to measure linear polarization down to the 0.3% sensitivity level. They were also tested in a ground-based solar coronagraph with promising results. They are small and convenient for space, rocket, and balloon applications. However a full-Stokes version requires extra components, they impose a constraint in resolution and FOV, and they are prone to crosstalk due to differential spatial response (see Sec. 4.4).

Acknowledgments

We thank the three anonymous referees for their valuable help to improve the quality of this review. We are also grateful to the experts of the described instruments for their crucial information, in particular to M. Van Noort, H.P Doerr, F. Zeuner, K. Nagaraju, and K. Sant. FAI acknowledges a fellowship of CONICET and appreciates support from UTN projects UTI4035TC and UTI4915TC.

References

1.

S. K. Solanki, N. A. Krivova and J. D. Haigh, “Solar irradiance variability and climate,” Annu. Rev. Astron. Astrophys., 51 311 –351 (2013). https://doi.org/10.1146/annurev-astro-082812-141007 ARAAAJ 0066-4146 Google Scholar

2.

L. J. Gray et al., “Solar influences on climate,” Rev. Geophys., 48 RG4001 (2010). https://doi.org/10.1029/2009RG000282 REGEEP 8755-1209 Google Scholar

3.

V. Bothmer and I. A. Daglis, Space Weather: Physics and Effects, Environmental Sciences, Springer-Verlag, Berlin, Heidelberg (2007). Google Scholar

4.

S. Solanki, “Sunspots: an overview,” Astron. Astrophys. Rev., 11 153 –286 (2003). https://doi.org/10.1007/s00159-003-0018-4 AASREB 0935-4956 Google Scholar

5.

J. Zhang et al., “Editorial: Earth-affecting solar transients,” Sol. Phys., 293 80 (2018). https://doi.org/10.1007/s11207-018-1302-9 SLPHAX 0038-0938 Google Scholar

6.

N. J. Fox et al., “The solar probe plus mission: humanity’s first visit to our star,” Space Sci. Rev., 204 7 –48 (2016). https://doi.org/10.1007/s11214-015-0211-6 SPSRA4 0038-6308 Google Scholar

7.

M. Velli et al., “Parker solar probe: exploring the plasma physics of the solar corona and inner heliosphere,” in Solar Heliospheric and Interplanet. Environ. (SHINE), 269 (2018). Google Scholar

8.

D. Müller et al., “Solar orbiter. Exploring the Sun-heliosphere connection,” Sol. Phys., 285 25 –70 (2013). https://doi.org/10.1007/s11207-012-0085-7 SLPHAX 0038-0938 Google Scholar

9.

M. Stix, The Sun, Astronomy and Astrophysics Library, 2nd ed.Springer, Berlin, Heidelberg (2002). Google Scholar

10.

J. L. Ballester, “Prominence seismology,” Proc. Int. Astron. Union, 8 (300), 30 –39 (2014). https://doi.org/10.1017/S1743921313010703 1743-9213 Google Scholar

11.

I. P. Tindo et al., “Discovery of polarization of x-rays of solar flares,” Kosm. Issled., 9 116 –122 (1971). Google Scholar

12.

I. A. Zhitnik et al., “Polarization, temporal, and spectral parameters of solar flare hard x-rays as measured by the SPR-N instrument onboard the CORONAS-F satellite,” Sol. Syst. Res., 40 93 –103 (2006). https://doi.org/10.1134/S003809460602002X SSYRAL 0038-0946 Google Scholar

13.

N. Duncan et al., “First flight of the gamma-ray imager/polarimeter for solar flares (GRIPS) instrument,” Proc. SPIE, 9905 99052Q (2016). https://doi.org/10.1117/12.2233859 PSISDG 0277-786X Google Scholar

14.

M. L. McConnell et al., “RHESSI as a hard x-ray polarimeter,” Sol. Phys., 210 125 –142 (2002). https://doi.org/10.1023/A:1022413708738 SLPHAX 0038-0938 Google Scholar

15.

M. St?ślicki et al., “Soft x-ray polarimeter-spectrometer SOLPEX,” Proc. Int. Astron. Union, 11 (S320), 450 –455 (2016). https://doi.org/10.1017/S1743921316002106 1743-9213 Google Scholar

16.

A. Y. Shih et al., “The gamma-ray imager/polarimeter for solar flares (GRIPS),” Proc. SPIE, 8443 84434H (2012). https://doi.org/10.1117/12.926450 PSISDG 0277-786X Google Scholar

17.

V. V. Zharkova, A. A. Kuznetsov and T. V. Siversky, “Diagnostics of energetic electrons with anisotropic distributions in solar flares. I. Hard x-rays bremsstrahlung emission,” Astron. Astrophys., 512 A8 (2010). https://doi.org/10.1051/0004-6361/200811486 AAEJAF 0004-6361 Google Scholar

18.

A. A. Kuznetsov and V. V. Zharkova, “Manifestations of energetic electrons with anisotropic distributions in solar flares. II. Gyrosynchrotron microwave emission,” Astrophys. J., 722 1577 –1588 (2010). https://doi.org/10.1088/0004-637X/722/2/1577 ASJOAB 0004-637X Google Scholar

19.

R. Casini, S. M. White and P. G. Judge, “Magnetic diagnostics of the solar corona: synthesizing optical and radio techniques,” Space Sci. Rev., 210 145 –181 (2017). https://doi.org/10.1007/s11214-017-0400-6 SPSRA4 0038-6308 Google Scholar

20.

A. Grebinskij et al., “Microwave tomography of solar magnetic fields,” Astron. Astrophys. Suppl. Ser., 144 169 –180 (2000). https://doi.org/10.1051/aas:2000202 AAESB9 0365-0138 Google Scholar

21.

H. Nakajima et al., “The radiometer and polarimeters at 80, 35, and 17 GHz for solar observations at Nobeyama,” Publ. Astron. Soc. Jpn., 37 163 –170 (1985). PASJAC 0004-6264 Google Scholar

22.

G. Huang, H. Ji and G. Wu, “The radio signature of magnetic reconnection for the M-class flare of 2004 November 1,” Astrophys. J., 672 L131 (2008). https://doi.org/10.1086/527294 ASJOAB 0004-637X Google Scholar

23.

S. Miyawaki et al., “Coronal magnetic fields derived from simultaneous microwave and EUV observations and comparison with the potential field model,” Astrophys. J., 818 8 (2016). https://doi.org/10.3847/0004-637X/818/1/8 ASJOAB 0004-637X Google Scholar

24.

M. Loukitcheva et al., “Millimeter radiation from a 3D model of the solar atmosphere. II. Chromospheric magnetic field,” Astron. Astrophys., 601 A43 (2017). https://doi.org/10.1051/0004-6361/201629099 AAEJAF 0004-6361 Google Scholar

25.

S. Wedemeyer, “Solar observations with ALMA,” in Imaging of Stellar Surf., 38 (2018). Google Scholar

26.

L. R. B. Rubio, “Stokes inversion techniques: recent advances and new challenges,” Astron. Soc. Pac. Conf. Ser., 358 107 (2006). ASPSFO 1050-3390 Google Scholar

27.

J. C. del Toro Iniesta and B. R. Cobo, “Inversion of the radiative transfer equation for polarized light,” Living Rev. Sol. Phys., 13 4 (2016). https://doi.org/10.1007/s41116-016-0005-2 1614-4961 Google Scholar

28.

J. Stenflo, “Solar magnetic fields as revealed by Stokes polarimetry,” Astron. Astrophys. Rev., 21 66 (2013). https://doi.org/10.1007/s00159-013-0066-3 AASREB 0935-4956 Google Scholar

29.

J. O. Stenflo, “History of solar magnetic fields since George Ellery Hale,” Space Sci. Rev., 210 5 –35 (2017). https://doi.org/10.1007/s11214-015-0198-z SPSRA4 0038-6308 Google Scholar

30.

J. C. del Toro Iniesta, Introduction to Spectropolarimetry, Cambridge University Press, Cambridge (2003). Google Scholar

31.

J. P. McMullin et al., “Construction status and early science with the Daniel K. Inouye solar telescope,” in AAS/Sol. Phys. Div. Abstr., (2016). Google Scholar

32.

D. F. Elmore et al., “The Daniel K. Inouye solar telescope first light instruments and critical science plan,” Proc. SPIE, 9147 914707 (2014). https://doi.org/10.1117/12.2057038 PSISDG 0277-786X Google Scholar

33.

D. M. Harrington and S. R. Sueoka, “Polarization modeling and predictions for Daniel K. Inouye Solar Telescope part 1: telescope and example instrument configurations,” J. Astron. Telesc. Instrum. Syst., 3 018002 (2017). https://doi.org/10.1117/1.JATIS.3.1.018002 Google Scholar

34.

A. Lagg et al., “Measurements of photospheric and chromospheric magnetic fields,” Space Sci. Rev., 210 37 –76 (2017). https://doi.org/10.1007/s11214-015-0219-y SPSRA4 0038-6308 Google Scholar

35.

C. U. Keller et al., Instrumentation, 35 Cambridge University Press, Cambridge (2015). Google Scholar

36.

F. Snik et al., “An overview of polarimetric sensing techniques and technology with applications to different research fields,” Proc. SPIE, 9099 90990B (2014). https://doi.org/10.1117/12.2053245 PSISDG 0277-786X Google Scholar

37.

J. M. Borrero et al., “Solar magnetoconvection and small-scale dynamo. Recent developments in observation and simulation,” Space Sci. Rev., 210 275 –316 (2017). https://doi.org/10.1007/s11214-015-0204-5 SPSRA4 0038-6308 Google Scholar

38.

D. B. Jess, G. Verth, “Ultra-high-resolution observations of MHD waves in photospheric magnetic structures,” Low-Frequency Waves in Space Plasmas, 449 –465 John Wiley & Sons, Inc.(2016). Google Scholar

39.

F. A. Iglesias et al., “High-resolution, high-sensitivity, ground-based solar spectropolarimetry with a new fast imaging polarimeter. I. Prototype characterization,” Astron. Astrophys., 590 A89 (2016). https://doi.org/10.1051/0004-6361/201628376 AAEJAF 0004-6361 Google Scholar

40.

V. M. Pillet et al., “The imaging magnetograph experiment (IMaX) for the Sunrise balloon-borne solar observatory,” Sol. Phys., 268 (1), 57 –102 (2011). https://doi.org/10.1007/s11207-010-9644-y SLPHAX 0038-0938 Google Scholar

41.

F. A. Iglesias, “Development of a high-cadence, high-precision solar imaging polarimeter with application to the FSP prototype,” Max Planck Research School for Solar System Sciences and TU Braunschweig, (2016). Google Scholar

42.

B. W. Lites and H. Socas-Navarro, “Characterization of magnetic flux in the quiet Sun. II. The internetwork fields at high angular resolution,” Astrophys. J., 613 600 –609 (2004). https://doi.org/10.1086/apj.2004.613.issue-1 ASJOAB 0004-637X Google Scholar

43.

C. Beck and R. Rezaei, “The magnetic flux of the quiet Sun internetwork as observed with the Tenerife infrared polarimeter,” Astron. Astrophys., 502 969 –979 (2009). https://doi.org/10.1051/0004-6361/200911727 AAEJAF 0004-6361 Google Scholar

44.

A. Lagg et al., “Supersonic downflows in the vicinity of a growing pore. Evidence of unresolved magnetic fine structure at chromospheric heights,” Astron. Astrophys., 462 1147 –1155 (2007). https://doi.org/10.1051/0004-6361:20054700 AAEJAF 0004-6361 Google Scholar

45.

A. Lagg et al., “Probing deep photospheric layers of the quiet Sun with high magnetic sensitivity,” Astron. Astrophys., 596 A6 (2016). https://doi.org/10.1051/0004-6361/201628489 AAEJAF 0004-6361 Google Scholar

46.

R. Rougeot et al., “Performance of the hybrid externally occulted Lyot solar coronagraph. Application to ASPIICS,” Astron. Astrophys., 599 A2 (2017). https://doi.org/10.1051/0004-6361/201629259 AAEJAF 0004-6361 Google Scholar

47.

H. Lin, J. R. Kuhn and R. Coulter, “Coronal magnetic field measurements,” Astrophys. J., 613 L177 –L180 (2004). https://doi.org/10.1086/425217 ASJOAB 0004-637X Google Scholar

48.

K. Dalmasse et al., “Constraining coronal magnetic field models using coronal polarimetry,” in Sol. Heliospheric and INterplanet. Environ. (SHINE), 42 (2016). Google Scholar

49.

M. Kramar et al., “3D global coronal density, temperature, and vector magnetic field derived from coronal observation,” in AGU Fall Meet. Abstr., (2016). Google Scholar

50.

P. Pagano, A. Bemporad and D. H. Mackay, “Future capabilities of CME polarimetric 3D reconstructions with the METIS instrument: a numerical test,” Astron. Astrophys., 582 A72 (2015). https://doi.org/10.1051/0004-6361/201425462 AAEJAF 0004-6361 Google Scholar

51.

T. A. Schad et al., “Vector magnetic field measurements along a cooled stereo-imaged coronal loop,” Astrophys. J., 833 5 (2016). https://doi.org/10.3847/0004-637X/833/1/5 ASJOAB 0004-637X Google Scholar

52.

T. A. Schad, “Neutral helium triplet spectroscopy of quiescent coronal rain with sensitivity estimates for spectropolarimetric magnetic field diagnostics,” Astrophys. J., 865 31 (2018). https://doi.org/10.3847/1538-4357/aad962 ASJOAB 0004-637X Google Scholar

53.

P. H. Scherrer et al., “The solar oscillations investigation—Michelson Doppler imager,” Sol. Phys., 162 129 –188 (1995). https://doi.org/10.1007/BF00733429 SLPHAX 0038-0938 Google Scholar

54.

V. Domingo, B. Fleck and A. I. Poland, “The SOHO Mission: an overview,” Sol. Phys., 162 1 –37 (1995). https://doi.org/10.1007/BF00733425 SLPHAX 0038-0938 Google Scholar

55.

A. M. Gandorfer et al., “Solar polarimetry in the near UV with the Zurich Imaging Polarimeter ZIMPOL II,” Astron. Astrophys., 422 703 –708 (2004). https://doi.org/10.1051/0004-6361:20040254 AAEJAF 0004-6361 Google Scholar

56.

F. Cavallini, “IBIS: a new post-focus instrument for solar imaging spectroscopy,” Sol. Phys., 236 415 –439 (2006). https://doi.org/10.1007/s11207-006-0103-8 SLPHAX 0038-0938 Google Scholar

57.

B. Viticchié et al., “Imaging spectropolarimetry with IBIS: evolution of bright points in the quiet Sun,” Astrophys. J., 700 L145 –L148 (2009). https://doi.org/10.1088/0004-637X/700/2/L145 ASJOAB 0004-637X Google Scholar

58.

B. Viticchié et al., “Imaging spectropolarimetry with IBIS. II. On the fine structure of G-band bright features,” Astrophys. J., 723 787 –796 (2010). https://doi.org/10.1088/0004-637X/723/1/787 ASJOAB 0004-637X Google Scholar

59.

K. Sankarasubramanian et al., “The diffraction limited spectro-polarimeter: a new instrument for high resolution solar polarimetry,” Proc. SPIE, 5171 207 –218 (2004). https://doi.org/10.1117/12.508790 PSISDG 0277-786X Google Scholar

60.

K. Sankarasubramanian et al., “The diffraction limited spectro-polarimeter,” ASP Conf. Ser., 358 201 (2006). Google Scholar

61.

H. Socas-Navarro et al., “SPINOR: visible and infrared spectro-polarimetry at the national solar observatory,” Sol. Phys., 235 55 –73 (2006). https://doi.org/10.1007/s11207-006-0020-x SLPHAX 0038-0938 Google Scholar

62.

C. Beck and D. P. Choudhary, “Magnetic properties and flow angle of the inverse evershed flow at its downflow points,” Astrophys. J., 874 6 (2019). https://doi.org/10.3847/1538-4357/ab06f9 ASJOAB 0004-637X Google Scholar

63.

S. A. Jaeggli et al., “The facility IR spectropolarimeter for the Dunn solar telescope,” in AGU Spring Meet. Abstr., (2008). Google Scholar

64.

S. A. Jaeggli et al., “FIRS: a new instrument for photospheric and chromospheric studies at the DST,” Mem. Soc. Astron. Ital., 81 763 (2010). MSATAB 0037-8720 Google Scholar

65.

F. Zeuner et al., “An observational upper limit on the forward scattering polarization amplitude of SR I 460.73 nm,” Google Scholar

66.

K. S. Balasubramaniam and A. Pevtsov, “Ground-based synoptic instrumentation for solar observations,” Proc. SPIE, 8148 814809 (2011). https://doi.org/10.1117/12.892824 PSISDG 0277-786X Google Scholar

67.

C. U. Keller and J. W. Harvey, The SOLIS Team, “The SOLIS vector-spectromagnetograph,” ASP Conf. Ser., 307 13 (2003). Google Scholar

68.

N. S. Observatory, “VSM instrument website,” https://solis.nso.edu/0/info/VSMOverview.html Google Scholar

69.

W. Cao et al., “NIRIS: the second generation near-infrared imaging spectro-polarimeter for the 1.6 meter new solar telescope,” Astron. Soc. Pac. Conf. Ser., 463 291 (2012). ASPSFO 1050-3390 Google Scholar

70.

G. Scharmer et al., “CRISP spectropolarimetric imaging of penumbral fine structure,” Astrophys. J. Lett., 689 L69 –L72 (2008). https://doi.org/10.1086/595744 AJLEEY 0004-637X Google Scholar

71.

J. de la Cruz Rodríguez et al., “CRISPRED: a data pipeline for the CRISP imaging spectropolarimeter,” Astron. Astrophys., 573 A40 (2015). https://doi.org/10.1051/0004-6361/201424319 AAEJAF 0004-6361 Google Scholar

72.

M. Van Noort, “Mihi instrument website,” https://www.mps.mpg.de/solar-physics/mls Google Scholar

73.

M. Van Noort, (2018). Google Scholar

74.

J. Jurcak et al., “Recent advancements in the EST project,” Adv. Space Res., 63 1389 –1395 (2019). https://doi.org/10.1016/j.asr.2018.06.034 ASRSDW 0273-1177 Google Scholar

75.

A. Feller et al., “Fast solar polarimeter: description and first results,” ASP Conf. Ser., 498 271 (2014). Google Scholar

76.

C. Beck et al., “Two-dimensional solar spectropolarimetry with the KIS/IAA visible imaging polarimeter,” Astron. Astrophys., 520 A115 (2010). https://doi.org/10.1051/0004-6361/200913441 AAEJAF 0004-6361 Google Scholar

77.

R. Ramelli et al., “ZIPOL-3: a powerful solar polarimeter,” Proc. SPIE, 7735 77351Y-1 (2010). https://doi.org/10.1117/12.857120 PSISDG 0277-786X Google Scholar

78.

R. Ramelli et al., “First successful deployment of the ZIMPOL-3 system at the GREGOR telescope,” Proc. SPIE, 9147 91473G (2014). https://doi.org/10.1117/12.2056934 PSISDG 0277-786X Google Scholar

79.

M. Collados et al., “GRIS: the GREGOR infrared spectrograph,” Astron. Nachr., 333 872 –879 (2012). https://doi.org/10.1002/asna.v333.9 ASNAAN 0004-6337 Google Scholar

80.

W. Schmidt et al., “The 1.5 meter solar telescope GREGOR,” Astron. Nachr., 333 796 –809 (2012). https://doi.org/10.1002/asna.v333.9 ASNAAN 0004-6337 Google Scholar

81.

H. Doerr, (2018). Google Scholar

82.

A. G. de Wijn et al., “Preliminary design of the visible spectro-polarimeter for the Advanced Technology Solar Telescope,” Proc. SPIE, 8446 84466X (2012). https://doi.org/10.1117/12.926497 PSISDG 0277-786X Google Scholar

83.

P. G. Nelson et al., “The visible spectro-polarimeter (ViSP) for the advanced technology solar telescope,” Proc. SPIE, 7735 77358C (2010). https://doi.org/10.1117/12.857610 PSISDG 0277-786X Google Scholar

84.

N. S. Observatory, “DKIST website,” https://dkist.nso.edu/ Google Scholar

85.

W. Schmidt et al., “A two-dimensional spectropolarimeter as a first-light instrument for the Daniel K. Inouye solar telescope,” Proc. SPIE, 9147 91470E (2014). https://doi.org/10.1117/12.2056322 PSISDG 0277-786X Google Scholar

86.

T. J. Kentischer et al., “The visible tunable filtergraph for the ATST,” Proc. SPIE, 8446 844677 (2012). https://doi.org/10.1117/12.926789 PSISDG 0277-786X Google Scholar

87.

W. Schmidt et al., “End-to-end simulations of the visible tunable filter for the Daniel K. Inouye Solar Telescope,” Proc. SPIE, 9908 99084N (2016). https://doi.org/10.1117/12.2232518 PSISDG 0277-786X Google Scholar

88.

S. A. Jaeggli et al., “An update on the diffraction-limited near infrared spectropolarimeter for the Daniel K. Inouye solar telescope,” in AAS/Sol. Phys. Div. Abstr., AAS/Sol. Phys. Div. Meet., (2017). Google Scholar

89.

P. Barthol et al., “The Sunrise mission,” Sol. Phys., 268 1 –34 (2011). https://doi.org/10.1007/s11207-010-9662-9 SLPHAX 0038-0938 Google Scholar

90.

P. Barthol et al., “Getting ready for the third science flight of SUNRISE,” in 42nd COSPAR Sci. Assembly, COSPAR Meet., (2018). Google Scholar

91.

S. K. Solanki, S. Team, “Sunrise re-flight 2020: seeing the Sun with new eyes,” (2016). Google Scholar

92.

A. Lopez et al., “Imax plus requirement document,” (2018). Google Scholar

93.

Y. Suematsu et al., “Sunrise chromospheric infrared spectropolarimeter (SCIP) for the SUNRISE balloon-borne solar observatory,” in 42nd COSPAR Sci. Assembly, COSPAR Meet., (2018). Google Scholar

94.

B. Lites et al., “The hinode spectro-polarimeter,” Sol. Phys., 283 579 –599 (2013). https://doi.org/10.1007/s11207-012-0206-3 SLPHAX 0038-0938 Google Scholar

95.

K. Ichimoto et al., “Polarization calibration of the solar optical telescope onboard Hinode,” Sol. Phys., 249 233 –261 (2008). https://doi.org/10.1007/s11207-008-9169-9 SLPHAX 0038-0938 Google Scholar

96.

R. Wachter et al., “Image quality of the helioseismic and magnetic imager (HMI) onboard the solar dynamics observatory (SDO),” Sol. Phys., 275 261 –284 (2012). https://doi.org/10.1007/s11207-011-9709-6 SLPHAX 0038-0938 Google Scholar

97.

P. H. Scherrer et al., “The helioseismic and magnetic imager (HMI) investigation for the solar dynamics observatory (SDO),” Sol. Phys., 275 207 –227 (2012). https://doi.org/10.1007/s11207-011-9834-2 SLPHAX 0038-0938 Google Scholar

98.

J. Schou et al., “Design and ground calibration of the helioseismic and magnetic imager (HMI) instrument on the solar dynamics observatory (SDO),” Sol. Phys., 275 229 –259 (2012). https://doi.org/10.1007/s11207-011-9842-2 SLPHAX 0038-0938 Google Scholar

99.

S. Couvidat et al., “Wavelength dependence of the helioseismic and magnetic imager (HMI) instrument onboard the solar dynamics observatory (SDO),” Sol. Phys., 275 285 –325 (2012). https://doi.org/10.1007/s11207-011-9723-8 SLPHAX 0038-0938 Google Scholar

100.

M. Kubo, “Results and future of CLASP project,” in SOLARNET IV: Phys. Sun from Interior to Outer Atmos., 82 (2017). Google Scholar

101.

K. Kobayashi et al., “The chromospheric lyman alpha spectropolarimeter (CLASP),” in AGU Fall Meet. Abstr., (2010). Google Scholar

102.

A. Gandorfer et al., “The solar orbiter mission and its polarimetric and helioseismic imager (SO/PHI),” J. Phys. Conf. Ser., 271 012086 (2011). https://doi.org/10.1088/1742-6596/271/1/012086 JPCSDZ 1742-6588 Google Scholar

103.

S. K. Solanki et al., “The polarimetric and helioseismic imager for solar orbiter: SO/PHI,” Proc. Int. Astron. Union, 10 (S305), 108 –113 (2015). https://doi.org/10.1017/S1743921315004615 1743-9213 Google Scholar

104.

T. Wiegelmann, G. J. D. Petrie and P. Riley, “Coronal magnetic field models,” Space Sci. Rev., 210 249 –274 (2017). https://doi.org/10.1007/s11214-015-0178-3 SPSRA4 0038-6308 Google Scholar

105.

J. W. Harvey et al., “The global oscillation network group (GONG) project,” Science, 272 1284 –1286 (1996). https://doi.org/10.1126/science.272.5266.1284 SCIEAS 0036-8075 Google Scholar

106.

M. Roth, “The solar physics research integrated network group—SPRING,” in SOLARNET IV: Phys. Sun from Interior to Outer Atmos., 88 (2017). Google Scholar

107.

C. Kuckein et al., “Full Stokes observations in the He I 1083 nm spectral region covering an M3.2 flare,” Proc. Int. Astron. Union, 10 (S305), 73 –78 (2015). https://doi.org/10.1017/S1743921315004548 1743-9213 Google Scholar

108.

D. Kuridze et al., “Spectropolarimetric inversions of the Ca II 8542 Å Line in an M-class solar flare,” Astrophys. J., 860 10 (2018). https://doi.org/10.3847/1538-4357/aac26d ASJOAB 0004-637X Google Scholar

109.

L. Kleint, “First detection of chromospheric magnetic field changes during an X1-flare,” Astrophys. J., 834 26 (2017). https://doi.org/10.3847/1538-4357/834/1/26 ASJOAB 0004-637X Google Scholar

110.

C. E. DeForest, C. A. de Koning and H. A. Elliott, “3D polarized imaging of coronal mass ejections: chirality of a CME,” Astrophys. J., 850 130 (2017). https://doi.org/10.3847/1538-4357/aa94ca ASJOAB 0004-637X Google Scholar

111.

R. Wang et al., “The role of active region coronal magnetic field in determining coronal mass ejection propagation direction,” Astrophys. J., 814 80 (2015). https://doi.org/10.1088/0004-637X/814/1/80 ASJOAB 0004-637X Google Scholar

112.

J. C. del Toro Iniesta and M. Collados, “Optimum modulation and demodulation matrices for solar polarimetry,” Appl. Opt., 39 1637 –1642 (2000). https://doi.org/10.1364/AO.39.001637 APOPAI 0003-6935 Google Scholar

113.

J. C. del Toro Iniesta and V. M. Pillet, “Assessing the behavior of modern solar magnetographs and spectropolarimeters,” Astrophys. J. Suppl. Ser., 201 22 (2012). https://doi.org/10.1088/0067-0049/201/2/22 APJSA2 0067-0049 Google Scholar

114.

D. F. Elmore et al., “The advanced Stokes polarimeter—a new instrument for solar magnetic field research,” Proc. SPIE, 1746 22 –33 (1992). https://doi.org/10.1117/12.138795 PSISDG 0277-786X Google Scholar

115.

A. Skumanich et al., “The calibration of the advanced Stokes polarimeter,” Astrophys. J. Suppl. Ser., 110 357 –380 (1997). https://doi.org/10.1086/apjs.1997.110.issue-2 APJSA2 0067-0049 Google Scholar

116.

V. M. Pillet et al., “LPSP & TIP: full Stokes polarimeters for the Canary islands observatories,” Astron. Soc. Pac. Conf. Ser., 183 264 (1999). ASPSFO 1050-3390 Google Scholar

117.

M. Collados et al., “Tenerife infrared polarimeter II,” Astron. Soc. Pac. Conf. Ser., 368 611 (2007). ASPSFO 1050-3390 Google Scholar

118.

A. López Ariste, J. Rayrole and M. Semel, “First results from THEMIS spectropolarimetric mode,” Astron. Astrophys. Suppl. Ser., 142 137 –148 (2000). https://doi.org/10.1051/aas:2000144 AAEJAF 0004-6361 Google Scholar

119.

A. Gandorfer and D. Gisler, “Polarimetry of the second solar spectrum in the UVB,” Astron. Soc. Pac. Conf. Ser., 358 225 (2006). ASPSFO 1050-3390 Google Scholar

120.

J. I. Larruquert et al., “Polarizers tuned at key far-UV spectral lines for space instrumentation,” Proc. SPIE, 10235 102350K (2017). https://doi.org/10.1117/12.2265777 PSISDG 0277-786X Google Scholar

121.

T. L. Riethmüller and S. K. Solanki, “The potential of many-line inversions of photospheric spectropolarimetric data in the visible and near UV,” Astron. Astrophys., 622 A36 (2019). https://doi.org/10.1051/0004-6361/201833379 AAEJAF 0004-6361 Google Scholar

122.

S. K. Solanki et al., “The second flight of the Sunrise balloon-borne solar observatory: overview of instrument updates, the flight, the data, and first results,” Astrophys. J. Suppl. Ser., 229 2 (2017). https://doi.org/10.3847/1538-4365/229/1/2 APJSA2 0067-0049 Google Scholar

123.

L. Zhang, Y. Guo and C. Rao, “Solar multi-conjugate adaptive optics based on high order ground layer adaptive optics and low order high altitude correction,” Opt. Express, 25 4356 (2017). https://doi.org/10.1364/OE.25.004356 OPEXFF 1094-4087 Google Scholar

124.

M. Stangalini et al., “Adaptive optics for high precision polarimetry: preliminary tests of DM polarization,” Proc. SPIE, 10703 107034V (2018). https://doi.org/10.1117/12.2313292 PSISDG 0277-786X Google Scholar

125.

D. Schmidt et al., “From clear to DKIST: advancing solar MCAO from 1.6 to 4 meters,” Proc. SPIE, 10703 1070326 (2018). https://doi.org/10.1117/12.2313787 PSISDG 0277-786X Google Scholar

126.

C. Rao et al., “Progress on solar multi-conjugate adaptive optics at the New Vacuum Solar Telescope,” Proc. SPIE, 10703 107030G (2018). https://doi.org/10.1117/12.2310124 PSISDG 0277-786X Google Scholar

127.

M. G. Löfdahl, M. van Noort, C. Denker, “Solar image restoration,” in Modern Solar Facilities—Advanced Solar Science, 119 –126 (2007). Google Scholar

128.

P. Sütterlin and E. Wiehr, “Applying speckle masking to spectra,” Sol. Phys., 194 35 –42 (2000). https://doi.org/10.1023/A:1005273130450 SLPHAX 0038-0938 Google Scholar

129.

M. van Noort, “Image restoration of solar spectra,” Astron. Astrophys., 608 A76 (2017). https://doi.org/10.1051/0004-6361/201731339 AAEJAF 0004-6361 Google Scholar

130.

C. Denker et al., “High-cadence imaging and imaging spectroscopy at the GREGOR solar telescope—a collaborative research environment for high-resolution solar physics,” Astrophys. J. Suppl. Ser., 236 5 (2018). https://doi.org/10.3847/1538-4365/aab773 APJSA2 0067-0049 Google Scholar

131.

T. Suzuki et al., “Parallel processing of solar image restoration with phase diversity technique,” Proc. SPIE, 10703 1070332 (2018). https://doi.org/10.1117/12.2312005 PSISDG 0277-786X Google Scholar

132.

A. A. Ramos, J. de la Cruz Rodriguez and A. P. Yabar, “Real-time multiframe blind deconvolution of solar images,” (2018). Google Scholar

133.

S. Solanki, EPIC Consortium, “Proposal for M4 mission of ESA,” (2015). Google Scholar

134.

L. Kleint and A. Gandorfer, “Prospects of solar magnetometry-from ground and in space,” Space Sci. Rev., 210 397 –426 (2017). https://doi.org/10.1007/s11214-015-0208-1 SPSRA4 0038-6308 Google Scholar

135.

C. U. Keller and A. Johannesson, “Speckle spectrography of extended objects,” Astron. Astrophys. Suppl. Ser., 110 565 (1995). AAESB9 0365-0138 Google Scholar

136.

C. Beck, R. Rezaei and D. Fabbian, “Stray-light contamination and spatial deconvolution of slit-spectrograph observations,” Astron. Astrophys., 535 A129 (2011). https://doi.org/10.1051/0004-6361/201015702 AAEJAF 0004-6361 Google Scholar

137.

M. Van Noort, L. Der Voort and M. Löfdahl, “Solar image restoration by use of multi-frame blind de-convolution with multiple objects and phase diversity,” Sol. Phys., 228 (1–2), 191 –215 (2005). https://doi.org/10.1007/s11207-005-5782-z SLPHAX 0038-0938 Google Scholar

138.

L. R. Bellot Rubio and C. Beck, “Magnetic flux cancellation in the moat of sunspots: results from simultaneous vector spectropolarimetry in the visible and the infrared,” Astrophys. J., 626 L125 –L128 (2005). https://doi.org/10.1086/431648 ASJOAB 0004-637X Google Scholar

139.

C. Beck, “A 3D sunspot model derived from an inversion of spectropolarimetric observations and its implications for the penumbral heating,” Astron. Astrophys., 480 825 –838 (2008). https://doi.org/10.1051/0004-6361:20078409 AAEJAF 0004-6361 Google Scholar

140.

R. Casini et al., “Multi-line Stokes inversion for prominence magnetic-field diagnostics,” Astrophys. J., 703 114 –120 (2009). https://doi.org/10.1088/0004-637X/703/1/114 ASJOAB 0004-637X Google Scholar

141.

M. L. Demidov and H. Balthasar, “On multi-line spectro-polarimetric diagnostics of the quiet Sun’s magnetic fields,” Sol. Phys., 276 43 –59 (2012). https://doi.org/10.1007/s11207-011-9863-x SLPHAX 0038-0938 Google Scholar

142.

H. Balthasar and M. L. Demidov, “Spectral inversion of multiline full-disk observations of quiet Sun magnetic fields,” Sol. Phys., 280 355 –364 (2012). https://doi.org/10.1007/s11207-012-9981-0 SLPHAX 0038-0938 Google Scholar

143.

J. O. Stenflo et al., “Calibration of the 6302/6301 Stokes V line ratio in terms of the 5250/5247 ratio,” Astron. Astrophys., 556 A113 (2013). https://doi.org/10.1051/0004-6361/201321749 AAEJAF 0004-6361 Google Scholar

144.

E. Khomenko, M. Collados, “Line ratio method applied to inter-network magnetic fields,” in Mod. Sol. Facil.—Adv. Sol. Sci., 303 (2007). Google Scholar

145.

C. Beck et al., “Magnetic properties of G-band bright points in a sunspot moat,” Astron. Astrophys., 472 607 –622 (2007). https://doi.org/10.1051/0004-6361:20065620 AAEJAF 0004-6361 Google Scholar

146.

C. Beck, “An uncombed inversion of multiwavelength observations reproducing the net circular polarization in a sunspot’s penumbra,” Astron. Astrophys., 525 A133 (2011). https://doi.org/10.1051/0004-6361/201015484 AAEJAF 0004-6361 Google Scholar

147.

C. D. Prasad and S. Gosain, “Comparative study of ${LiNbO}_{3}$ and servo controlled air gap Fabry-Perot etalons for solar application,” Exp. Astron., 13 153 –158 (2002). https://doi.org/10.1023/A:1025564731907 EXASER 0922-6435 Google Scholar

148.

A. Tritschler et al., “High-resolution solar spectroscopy with TESOS—upgrade from a double to a triple system,” Sol. Phys., 211 17 –29 (2002). https://doi.org/10.1023/A:1022459132089 SLPHAX 0038-0938 Google Scholar

149.

R. S. Schnerr, J. de La Cruz Rodríguez and M. van Noort, “Stokes imaging polarimetry using image restoration: a calibration strategy for Fabry-Pérot based instruments,” Astron. Astrophys., 534 A45 (2011). https://doi.org/10.1051/0004-6361/201016000 AAEJAF 0004-6361 Google Scholar

150.

N. Hagen and M. W. Kudenov, “Review of snapshot spectral imaging technologies,” Opt. Eng., 52 090901 (2013). https://doi.org/10.1117/1.OE.52.9.090901 Google Scholar

151.

S. F. Martin et al., “Multi-slit spectrograph and H alpha Doppler system,” Sol. Phys., 37 343 –350 (1974). https://doi.org/10.1007/BF00152493 SLPHAX 0038-0938 Google Scholar

152.

N. Srivastava and S. K. Mathew, “A digital imaging multi-slit spectrograph for measurement of line-of-sight velocities on the Sun,” Sol. Phys., 185 61 –68 (1999). https://doi.org/10.1023/A:1005189319845 SLPHAX 0038-0938 Google Scholar

153.

H. Lin, “mxSPEC: a massively multiplexed full-disk spectroheliograph for solar physics research,” Proc. SPIE, 9147 914712 (2014). https://doi.org/10.1117/12.2057120 PSISDG 0277-786X Google Scholar

154.

P. Mein and M. Blondel, “A substractive double pass spectrograph for solar observations,” Sol. Phys., 27 489 –492 (1972). https://doi.org/10.1007/BF00153120 SLPHAX 0038-0938 Google Scholar

155.

J. O. Stenflo, “A new type of magnetograph,” Sol. Phys., 3 482 –490 (1968). https://doi.org/10.1007/BF00171621 SLPHAX 0038-0938 Google Scholar

156.

P. Mein, “Solar 2D spectroscopy—a new MSDP instrument,” Astron. Astrophys., 248 669 –676 (1991). AAEJAF 0004-6361 Google Scholar

157.

P. Mein, N. Mein and V. Bommier, “Fast imaging spectroscopy with MSDP spectrometers. Vector magnetic maps with THEMIS/MSDP,” Astron. Astrophys., 507 531 –539 (2009). https://doi.org/10.1051/0004-6361/200811315 AAEJAF 0004-6361 Google Scholar

158.

B. Schmieder et al., “Magnetic changes observed in the formation of two filaments in a complex active region: TRACE and MSDP observations,” Sol. Phys., 223 119 –141 (2004). https://doi.org/10.1007/s11207-004-1107-x SLPHAX 0038-0938 Google Scholar

159.

A. López Ariste, C. Le Men and B. Gelly, “Double-pass spectroimaging with spectral multiplexing: TUNIS,” Contrib. Astron. Obs. Skalnate Pleso, 41 99 –105 (2011). Google Scholar

160.

P. Heinzel et al., “Understanding the Mg II and $H α$ spectra in a highly dynamical solar prominence,” Astrophys. J. Lett., 800 L13 (2015). https://doi.org/10.1088/2041-8205/800/1/L13 AJLEEY 0004-637X Google Scholar

161.

R. B. Dunn and R. N. Smartt, “High resolution telescopes at the National Solar Observatory,” Adv. Space Res., 11 139 –148 (1991). https://doi.org/10.1016/0273-1177(91)90371-P ASRSDW 0273-1177 Google Scholar

162.

C. Beck et al., “High-resolution observations of $H α$ spectra with a subtractive double pass,” Sol. Phys., 293 36 (2018). https://doi.org/10.1007/s11207-018-1252-2 SLPHAX 0038-0938 Google Scholar

163.

T. Schad et al., “Polarization properties of a birefringent fiber optic image slicer for diffraction-limited dual-beam spectropolarimetry,” Proc. SPIE, 9147 91476E (2014). https://doi.org/10.1117/12.2057125 PSISDG 0277-786X Google Scholar

164.

H. Lin, “SPIES: the spectropolarimetric imager for the energetic Sun,” Proc. SPIE, 8446 84461D (2012). https://doi.org/10.1117/12.926830 PSISDG 0277-786X Google Scholar

165.

“Spies instrument website,” (2018) http://dlnirsp.ifa-instruments.org/DL-NIRSP/spies.html Google Scholar

166.

A. Calcines, R. L. López and M. Collados, “Preliminary design of a multi-slit image slicer for EST,” Proc. SPIE, 8446 844674 (2012). https://doi.org/10.1117/12.924641 PSISDG 0277-786X Google Scholar

167.

M. Collados et al., “European solar telescope: progress status,” Astron. Nachr., 331 615 –619 (2010). https://doi.org/10.1002/asna.v331:6 ASNAAN 0004-6337 Google Scholar

168.

M. Collados et al., “The European solar telescope,” Mem. Soc. Astron. Ital., 84 379 (2013). MSATAB 0037-8720 Google Scholar

169.

F. Laurent et al., “Design of an integral field unit for MUSE, and results from prototyping,” Publ. Astron. Soc. Pac., 118 1564 –1573 (2006). https://doi.org/10.1086/pasp.2006.118.issue-849 PASPAU 0004-6280 Google Scholar

170.

A. Calcines, R. L. López and M. Collados, “MuSICa: the multi-slit image slicer for the EST spectrograph,” J. Astron. Instrum., 2 1350009 (2013). https://doi.org/10.1142/S2251171713500098 Google Scholar

171.

A. Calcines, M. Collados, R. L. López, “MuSICa at GRIS: a prototype image slicer for EST at GREGOR,” in Highlights Spanish Astrophys. VII, Proc. X Sci. Meet. Spanish Astron. Soc. (SEA), 939 –939 (2013). Google Scholar

172.

A. Calcines et al., “MuSICa image slicer prototype at 1.5-m GREGOR solar telescope,” Proc. SPIE, 9147 91473I (2014). https://doi.org/10.1117/12.2053577 PSISDG 0277-786X Google Scholar

173.

A. Calcines and K. Ichimoto, “Feasibility study of an image slicer for future space application,” Proc. SPIE, 9143 91434C (2014). https://doi.org/10.1117/12.2053580 PSISDG 0277-786X Google Scholar

174.

Y. Suematsu et al., “Development of micro-mirror slicer integral field unit for space-borne solar spectrographs,” CEAS Sp. J., 9 421 –431 (2017). https://doi.org/10.1007/s12567-017-0157-5 Google Scholar

175.

Y. Suematsu et al., “Tridimensional spectroscopic observations of the Sun with a microlens-array spectrograph,” Astron. Soc. Pac. Conf. Ser., 183 303 (1999). ASPSFO 1050-3390 Google Scholar

176.

Y. Suematsu et al., “Integral field spectroscopy of the Sun with microlens array and liquid crystal retarders,” in AGU Fall Meet. Abstr., (2011). Google Scholar

177.

D. M. Harrington et al., “Polarization modeling and predictions for DKIST part 2: application of the Berreman calculus to spectral polarization fringes of beamsplitters and crystal retarders,” J. Astron. Telesc. Instrum. Syst., 3 048001 (2017). https://doi.org/10.1117/1.JATIS.3.4.048001 Google Scholar

178.

D. M. Harrington and S. R. Sueoka, “Polarization modeling and predictions for DKIST part 3: focal ratio and thermal dependencies of spectral polarization fringes and optic retardance,” J. Astron. Telesc. Instrum. Syst., 4 018006 (2018). https://doi.org/10.1117/1.JATIS.4.1.018006 Google Scholar

179.

J. Stenflo, Solar Magnetic Fields, 189 Springer, Netherlands (1994). Google Scholar

180.

J. S. Almeida and V. M. Pillet, “Instrumental polarization in the focal plane of telescopes,” Astron. Astrophys., 260 543 –555 (1992). AAEJAF 0004-6361 Google Scholar

181.

J. S. Almeida, “Instrumental polarization in the focal plane of telescopes. 2: effects induced by seeing,” Astron. Astrophys., 292 713 –721 (1994). AAEJAF 0004-6361 Google Scholar

182.

B. W. Lites, “Rotating waveplates as polarization modulators for stokes polarimetry of the Sun: evaluation of seeing-induced crosstalk errors,” Appl. Opt., 26 3838 –3845 (1987). https://doi.org/10.1364/AO.26.003838 APOPAI 0003-6935 Google Scholar

183.

P. G. Judge et al., “Evaluation of seeing-induced cross talk in tip-tilt-corrected solar polarimetry,” Appl. Opt., 43 3817 –3828 (2004). https://doi.org/10.1364/AO.43.003817 APOPAI 0003-6935 Google Scholar

184.

N. Krishnappa and A. Feller, “Precision in ground-based solar polarimetry: simulating the role of adaptive optics,” Appl. Opt., 51 7953 –7961 (2012). https://doi.org/10.1364/AO.51.007953 APOPAI 0003-6935 Google Scholar

185.

R. Casini, A. G. de Wijn and P. G. Judge, “Analysis of seeing-induced polarization cross-talk and modulation scheme performance,” Astrophys. J., 757 45 (2012). https://doi.org/10.1088/0004-637X/757/1/45 ASJOAB 0004-637X Google Scholar

186.

Y. Hanaoka et al., “High-speed $H α$ camera and the real-time image processing system for solar observations,” Proc. SPIE, 4853 576 –583 (2003). https://doi.org/10.1117/12.460279 PSISDG 0277-786X Google Scholar

187.

Y. Hanaoka, “Ferroelectric liquid crystal polarimeter for high-cadence $H α$ imaging polarimetry,” Sol. Phys., 222 265 –278 (2004). https://doi.org/10.1023/B:SOLA.0000043581.05390.2f SLPHAX 0038-0938 Google Scholar

188.

D. Clarke, “Effects in polarimetry of interference within wave plates,” Astron. Astrophys., 434 377 –384 (2005). https://doi.org/10.1051/0004-6361:20042259 AAEJAF 0004-6361 Google Scholar

189.

P. D. Hale and G. W. Day, “Stability of birefringent linear retarders (waveplates),” Appl. Opt., 27 5146 –5153 (1988). https://doi.org/10.1364/AO.27.005146 APOPAI 0003-6935 Google Scholar

190.

S. Pancharatnam, “Achromatic combinations of birefringent plates,” Proc. Indian Acad. Sci. Sect. A, 41 130 –136 (1955). https://doi.org/10.1007/BF03047097 PISAA7 0370-0089 Google Scholar

191.

A. Samoilov et al., “Properties of multicomponent achromatic and superachromatic zero-order wave plates,” J. Opt. Technol., 76 312 –315 (2009). https://doi.org/10.1364/JOT.76.000312 JOTEE4 1070-9762 Google Scholar

192.

D. Gisler, “Instrumentierung für hochpräzise Vektorpolarimetrie in der Astronomie,” ETH-Zurich, (2005). Google Scholar

193.

Y. Hanaoka, “Polarimeter with a high-speed rotating waveplate for the solar observation,” Proc. SPIE, 8446 844670 (2012). https://doi.org/10.1117/12.925304 PSISDG 0277-786X Google Scholar

194.

S.-N. Ishikawa et al., “In-flight performance of the polarization modulator in the CLASP rocket experiment,” Proc. SPIE, 9905 99052U (2016). https://doi.org/10.1117/12.2232278 PSISDG 0277-786X Google Scholar

195.

G. Thalhammer et al., “Speeding up liquid crystal slms using overdrive with phase change reduction,” Opt. Express, 21 1779 –1797 (2013). https://doi.org/10.1364/OE.21.001779 OPEXFF 1094-4087 Google Scholar

196.

G. Capobianco et al., “Electro-optical polarimeters for ground-based and space-based observations of the solar K-corona,” Proc. SPIE, 8450 845040 (2012). https://doi.org/10.1117/12.926896 PSISDG 0277-786X Google Scholar

197.

R. L. Heredero et al., “Liquid-crystal variable retarders for aerospace polarimetry applications,” Appl. Opt., 46 689 –698 (2007). https://doi.org/10.1364/AO.46.000689 APOPAI 0003-6935 Google Scholar

198.

N. Uribe-Patarroyo et al., “Space-qualified liquid-crystal variable retarders for wide-field-of-view coronagraphs,” Proc. SPIE, 8148 814810 (2011). https://doi.org/10.1117/12.904919 PSISDG 0277-786X Google Scholar

199.

A. M. Gandorfer, “Ferroelectric retarders as an alternative to piezoelastic modulators for use in solar stokes vector polarimetry,” Opt. Eng., 38 (8), 1402 –1408 (1999). https://doi.org/10.1117/1.602183 Google Scholar

200.

D. Gisler, A. Feller and A. M. Gandorfer, “Achromatic liquid crystal polarisation modulator,” Proc. SPIE, 4843 45 –54 (2003). https://doi.org/10.1117/12.458835 PSISDG 0277-786X Google Scholar

201.

J. O. Stenflo and H. Povel, “Astronomical polarimeter with 2-D detector arrays,” Appl. Opt., 24 3893 –3898 (1985). https://doi.org/10.1364/AO.24.003893 APOPAI 0003-6935 Google Scholar

202.

K. Nagaraju et al., “Full Stokes polarimetry using dual-frequency liquid crystals,” Proc. SPIE, 10702 107024X (2018). https://doi.org/10.1117/12.2312503 PSISDG 0277-786X Google Scholar

203.

M. Mrukiewicz et al., “Two-step switching in dual-frequency nematic liquid crystal mixtures,” J. Appl. Phys., 118 173104 (2015). https://doi.org/10.1063/1.4934877 JAPIAU 0021-8979 Google Scholar

204.

A. B. Golovin, S. V. Shiyanovskii and O. D. Lavrentovich, “Fast switching dual-frequency liquid crystal optical retarder, driven by an amplitude and frequency modulated voltage,” Appl. Phys. Lett., 83 (19), 3864 –3866 (2003). https://doi.org/10.1063/1.1625114 APPLAB 0003-6951 Google Scholar

205.

E. Compain and B. Drevillon, “Broadband division-of-amplitude polarimeter based on uncoated prisms,” Appl. Opt., 37 5938 –44 (1998). https://doi.org/10.1364/AO.37.005938 APOPAI 0003-6935 Google Scholar

206.

M. Devogèle et al., “The Calern asteroid polarimetric survey using the Torino polarimeter: assessment of instrument performances and first scientific results,” Mon. Not. R. Astron. Soc., 465 4335 –4347 (2017). https://doi.org/10.1093/mnras/stw2952 MNRAA4 0035-8711 Google Scholar

207.

K. Oka and T. Kaneko, “Compact complete imaging polarimeter using birefringent wedge prisms,” Opt. Express, 11 1510 (2003). https://doi.org/10.1364/OE.11.001510 OPEXFF 1094-4087 Google Scholar

208.

T. Mu, C. Zhang and R. Liang, “Demonstration of a snapshot full-stokes division-of-aperture imaging polarimeter using wollaston prism array,” J. Opt., 17 (12), 125708 (2015). https://doi.org/10.1088/2040-8978/17/12/125708 Google Scholar

209.

M. Rodenhuis et al., “Five-dimensional optical instrumentation: combining polarimetry with time-resolved integral-field spectroscopy,” Proc. SPIE, 9099 90990L (2014). https://doi.org/10.1117/12.2053241 PSISDG 0277-786X Google Scholar

210.

M. Collados, “High resolution spectropolarimetry and magnetography,” ASP Conf. Ser., 184 3 –22 (1999). Google Scholar

211.

C. F. LaCasse et al., “Spatio-temporal modulated polarimetry,” Proc. SPIE, 8160 81600K (2011). https://doi.org/10.1117/12.896068 PSISDG 0277-786X Google Scholar

212.

J. Dobrowolski, “Review of thin film interference polarizers and polarizing beam splitters for the visible and adjacent spectral regions,” in Opt. Interference Coatings, (2001). Google Scholar

213.

M. Semel, “Polarimetry and imagery through uniaxial crystals—application to solar observations with high spatial resolution,” Astron. Astrophys., 178 257 –262 (1987). AAEJAF 0004-6361 Google Scholar

214.

A. M. Gandorfer, “Instrumentation for optical magnetometry,” in SOLMAG Proc. Magn. Coupling Sol. Atmos. Euroconf., 19 –25 (2002). Google Scholar

215.

M. Bischoff, L. Andreae and U. Weinert, “Design and fabrication of broadband polarising beam splitter cubes,” Proc. SPIE, 10691 1069119 (2018). https://doi.org/10.1117/12.2311685 PSISDG 0277-786X Google Scholar

216.

A. Feller and M. Van Noort, (2018). Google Scholar

217.

J. F. Donati et al., “Detection of a magnetic region of HR 1099,” Astron. Astrophys., 232 L1 –L4 (1990). AAEJAF 0004-6361 Google Scholar

218.

M. Bianda, S. K. Solanki and J. O. Stenflo, “Hanle depolarisation in the solar chromosphere,” Astron. Astrophys., 331 760 –770 (1998). AAEJAF 0004-6361 Google Scholar

219.

M. Rodenhuis et al., “The extreme polarimeter: design, performance, first results and upgrades,” Proc. SPIE, 8446 84469I (2012). https://doi.org/10.1117/12.927203 PSISDG 0277-786X Google Scholar

220.

V. Bommier and G. Molodij, “Some THEMIS-MTR observations of the second solar spectrum (2000 campaign),” Astron. Astrophys., 381 (1), 241 –252 (2002). https://doi.org/10.1051/0004-6361:20011571 AAEJAF 0004-6361 Google Scholar

221.

H. J. Hoeijmakers et al., “Design trade-off and proof of concept for LOUPE, the lunar observatory for unresolved polarimetry of Earth,” Opt. Express, 24 21435 (2016). https://doi.org/10.1364/OE.24.021435 OPEXFF 1094-4087 Google Scholar

222.

F. Snik, T. Karalidi and C. U. Keller, “Spectral modulation for full linear polarimetry,” Appl. Opt., 48 1337 –1346 (2009). https://doi.org/10.1364/AO.48.001337 APOPAI 0003-6935 Google Scholar

223.

G. van Harten et al., “Prototyping for the spectropolarimeter for planetary exploration (SPEX): calibration and sky measurements,” Proc. SPIE, 8160 81600Z (2011). https://doi.org/10.1117/12.893741 PSISDG 0277-786X Google Scholar

224.

K. Oka and T. Kato, “Spectroscopic polarimetry with a channeled spectrum,” Opt. Lett., 24 1475 –1477 (1999). https://doi.org/10.1364/OL.24.001475 OPLEDP 0146-9592 Google Scholar

225.

W. Sparks et al., “Compact and robust method for full Stokes spectropolarimetry,” Appl. Opt., 51 5495 (2012). https://doi.org/10.1364/AO.51.005495 APOPAI 0003-6935 Google Scholar

226.

K. Oka and N. Saito, “Snapshot complete imaging polarimeter using Savart plates,” Proc. SPIE, 6295 629508 (2006). https://doi.org/10.1117/12.683284 PSISDG 0277-786X Google Scholar

227.

A. S. Alenin and J. S. Tyo, “Generalized channeled polarimetry,” J. Opt. Soc. Am. A, 31 1013 –1022 (2014). https://doi.org/10.1364/JOSAA.31.001013 JOAOD6 0740-3232 Google Scholar

228.

G. A. Kakauridze and B. N. Kilosanidze, “Polarization-holographic gratings that form plane-polarized orders of diffraction,” J. Opt. Technol., 73 188 –192 (2006). https://doi.org/10.1364/JOT.73.000188 JOTEE4 1070-9762 Google Scholar

229.

M. Attia and J. M. C. Jonathan, “Anisotropic gratings recorded from two circularly polarized coherent waves,” Opt. Commun., 47 85 –90 (1983). https://doi.org/10.1016/0030-4018(83)90092-5 OPCOB8 0030-4018 Google Scholar

230.

C. Packham et al., “Polarization gratings: a novel polarimetric component for astronomical instruments,” Publ. Astron. Soc. Pac., 122 1471 –1482 (2010). https://doi.org/10.1086/657904 PASPAU 0004-6280 Google Scholar

231.

C. Oh and M. J. Escuti, “Achromatic diffraction from polarization gratings with high efficiency,” Opt. Lett., 33 2287 (2008). https://doi.org/10.1364/OL.33.002287 OPLEDP 0146-9592 Google Scholar

232.

J. A. Davis et al., “Polarization beam splitters using polarization diffraction gratings,” Opt. Lett., 26 587 –589 (2001). https://doi.org/10.1364/OL.26.000587 OPLEDP 0146-9592 Google Scholar

233.

G. Kakauridze et al., “Application of polarization—holographic diffraction element in astropolarimetry,” in Symp. Hologr. and Opt. Rec., Storage and Process. Inf., 58 –60 (2008). Google Scholar

234.

T. Kvernadze et al., “First test observations of the selected astronomical objects using polarization—holographic Stokes polarimeter,” Astron. Astrophys., 2 20 (2017). AAEJAF 0004-6361 Google Scholar

235.

T. Kvernadze et al., “Innovative polarization-holographic imaging Stokes polarimeter for observational studies of the solar spicules: the first results,” in Am. Astron. Soc. Meet. Abstr., 437.05 (2017). Google Scholar

236.

J. R. Janesick, Scientific Charge-Coupled Devices, SPIE Press, Bellingham, Washington (2001). Google Scholar

237.

J. Janesick, J. T. Andrews and T. Elliott, “Fundamental performance differences between CMOS and CCD imagers: part 1,” Proc. SPIE, 6276 62760M (2006). https://doi.org/10.1117/12.678867 PSISDG 0277-786X Google Scholar

238.

J. Janesick et al., “Fundamental performance differences between CMOS and CCD imagers: Part II,” Proc. SPIE, 6690 669003 (2007). https://doi.org/10.1117/12.740218 PSISDG 0277-786X Google Scholar

239.

J. R. Janesick et al., “Fundamental performance differences of CMOS and CCD imagers: part V,” Proc. SPIE, 8659 865902 (2013). https://doi.org/10.1117/12.2008268 PSISDG 0277-786X Google Scholar

240.

C. Keller, “Recent progress in imaging polarimetry,” Solar Polarization, 243 –252 Springer, Netherlands (1996). Google Scholar

241.

F. A. Iglesias, A. Feller and K. Nagaraju, “Smear correction of highly variable, frame-transfer CCD images with application to polarimetry,” Appl. Opt., 54 5970 (2015). https://doi.org/10.1364/AO.54.005970 APOPAI 0003-6935 Google Scholar

242.

J. Janesick et al., “Scientific CMOS pixels,” Exp. Astron., 14 33 –43 (2002). https://doi.org/10.1023/A:1026128918608 EXASER 0922-6435 Google Scholar

243.

M. Bigas et al., “Review of CMOS image sensors,” Microelectron. J., 37 (5), 433 –451 (2006). https://doi.org/10.1016/j.mejo.2005.07.002 MICEB9 0026-2692 Google Scholar

244.

N. Waltham, “CCD and CMOS sensors,” ISSI Sci. Rep. Ser., 9 391 –408 (2010). Google Scholar

245.

M. Guidash et al., “Reduction of CMOS image sensor read noise to enable photon counting,” Sensors, 16 517 (2016). https://doi.org/10.3390/s16040517 SNSRES 0746-9462 Google Scholar

246.

J. Piqueras, “Design and optimization of a space camera with application to the PHI solar magnetograph,” International Max Planck Research School for Solar System Science, (2013). Google Scholar

247.

T. Sakurai et al., “Infrared spectro-polarimeter on the Solar Flare Telescope at NAOJ/Mitaka,” Publ. Astron. Soc. Jpn., 70 58 (2018). https://doi.org/10.1093/pasj/psy050 PASJAC 0004-6264 Google Scholar

248.

S. E. Bohndiek et al., “Comparison of methods for estimating the conversion gain of CMOS active pixel sensors,” IEEE Sens. J., 8 1734 –1744 (2008). https://doi.org/10.1109/JSEN.2008.2004296 ISJEAZ 1530-437X Google Scholar

249.

B. A. Fowler et al., “Method for estimating quantum efficiency for CMOS image sensors,” Proc. SPIE, 3301 178 –185 (1998). https://doi.org/10.1117/12.304561 PSISDG 0277-786X Google Scholar

250.

K. Sant, A. Feller and M. Van Noort, (2018). Google Scholar

251.

H. Povel, H. Aebersold and J. O. Stenflo, “Charge-coupled device image sensor as a demodulator in a 2-D polarimeter with a piezoelastic modulator,” Appl. Opt., 29 1186 –1190 (1990). https://doi.org/10.1364/AO.29.001186 APOPAI 0003-6935 Google Scholar

252.

A. M. Gandorfer and H. P. Povel, “First observations with a new imaging polarimeter,” Astron. Astrophys., 328 381 –389 (1997). AAEJAF 0004-6361 Google Scholar

253.

S. Ihle et al., “Optical test results of fast pnCCDs,” in IEEE Nucl. Sci. Symp. Conf. Rec., 3351 –3356 (2008). https://doi.org/10.1109/NSSMIC.2008.4775061 Google Scholar

254.

S. Ihle et al., “A compact high-speed pnCCD camera for optical and x-ray applications,” Proc. SPIE, 8453 84531A (2012). https://doi.org/10.1117/12.926997 PSISDG 0277-786X Google Scholar

255.

A. Baehr et al., “Advanced DePFET concepts: Quadropix,” Nucl. Instrum. Methods Phys. Res. Sect. A, 912 70 –74 (2018). https://doi.org/10.1016/j.nima.2017.10.048 Google Scholar

256.

A. Baehr et al., “First measurements of the quadropix DePFETs,” in IEEE Nucl. Sci. Symp., (2018). Google Scholar

257.

M. Porro et al., “VERITAS: a 128-channel ASIC for the readout of pnCCDs and DePFET arrays for x-ray imaging, spectroscopy and XFEL applications,” IEEE Trans. Nucl. Sci., 60 (1), 446 –455 (2013). https://doi.org/10.1109/TNS.2012.2228410 IETNAE 0018-9499 Google Scholar

258.

D. V. Vorobiev, Z. Ninkov and N. Brock, “Astronomical polarimetry with the RIT polarization imaging camera,” Publ. Astron. Soc. Pac., 130 (988), 064501 (2018). https://doi.org/10.1088/1538-3873/aab99b PASPAU 0004-6280 Google Scholar

259.

S. Tomczyk et al., “Multi-wavelength observations of the solar atmosphere from the August 21, 2017 total solar eclipse,” in Am. Geophys. Union Fall Meet. Abstr., (2017). Google Scholar

260.

J. Burkepile et al., “Polarization observations of the total solar eclipse of August 21, 2017,” in Am. Geophys. Union Fall Meet. Abstr., (2017). Google Scholar

261.

N. Reginald et al., “Replacing the polarizer wheel with a polarization camera to increase the temporal resolution and reduce the overall complexity of a solar coronagraph,” J. Astron. Telesc. Instrum. Syst., 3 014001 (2017). https://doi.org/10.1117/1.JATIS.3.1.014001 Google Scholar

262.

X. Tu et al., “Division of amplitude RGB full-stokes camera using micro-polarizer arrays,” Opt. Express, 25 33160 –33175 (2017). https://doi.org/10.1364/OE.25.033160 OPEXFF 1094-4087 Google Scholar

263.

M. Vedel, S. Breugnot and N. Lechocinski, “Full Stokes polarization imaging camera,” Proc. SPIE, 8160 81600X (2011). https://doi.org/10.1117/12.892491 PSISDG 0277-786X Google Scholar

Biography

Francisco A. Iglesias studied electronics engineering at the National University of Technology (UTN-FRM) in Mendoza, Argentina. In 2016, he received his Dr.-Ing degree in the field of instrumentation for solar physics from TU Braunschweig and the Max Planck Institute for Solar System Research in Germany. He is currently a math professor at UTN-FRM and a postdoctoral fellow, working on instrumentation and solar physics, at the National Research Council (CONICET) in Argentina.

Alex Feller has studied physics at the Federal Institute of Technology (ETH) Zurich. In 2007, he received his PhD in the field of instrumentation for solar physics. He is currently working as an instrument scientist in the Department Sun and Heliosphere of the Max Planck Institute for Solar System Research.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

Citation Download Citation

Francisco A. Iglesias and Alex J. Feller "Instrumentation for solar spectropolarimetry: state of the art and prospects," Optical Engineering 58(8), 082417 (27 April 2019). https://doi.org/10.1117/1.OE.58.8.082417

Received: 9 December 2018; Accepted: 2 April 2019; Published: 27 April 2019

Access the abstract

JOURNAL ARTICLE
21 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

CITATIONS

Cited by 29 scholarly publications.

Explore citations on Lens.org

KEYWORDS

Polarimetry

Polarization

Sensors

Modulation

Modulators

Spatial resolution

CMOS sensors

1.

Introduction: Instrumental Goals and Challenges in Modern Solar Spectropolarimetry

1.1.

Data Requirements and Trade-Offs

Fig. 1

Table 1

1.2.

State-of-the-Art and Upcoming Solar Optical Spectropolarimeters

Table 2

Fig. 2

2.

Wavelength Discriminators

Fig. 3

Fig. 4

2.1.

Spectrographs

2.2.

Filtergraphs

2.3.

Integral Field Solutions

3.

Polarization Modulators

3.1.

Temporal Modulation

Fig. 5

3.2.

Spatial Modulation

3.3.

Spatiotemporal Modulation

Table 3

3.4.

Spectropolarimetric Modulators

4.

Imaging Detectors for High-Precision Polarimetry

4.1.

CCD Detectors

4.2.

CMOS Detectors

Fig. 6

4.3.

Custom Detectors

4.4.

Polarization Detectors

5.

Summary

5.1.

Wavelength Discriminators

5.2.

Polarization Modulators

5.3.

Imaging Detectors

Acknowledgments

References

Biography

Show All Keywords

Keywords/Phrases

Search In:

Publication Years