Poster + Paper
27 August 2022 Processing of ACS-NIR observations to build the solar spectrum with high spectral resolution in the 0.7-1.7 μm domain
Abdanour Irbah, Jean-Loup Bertaux, Franck Montmessin, Léa Scheveiler, Gaetan Lacombe, Alexander Trokhimovskiy, Oleg Korablev, Anna Fedorova, Andrey Patrakeev, Alexei Shakun
Author Affiliations +
Conference Poster
Abstract
The ACS-NIR spectrometer on board the Trace Gas Orbiter is currently being used to probe the atmosphere of Mars. When ACS-NIR is pointed at the Sun, it detects the spectral signature of atmospheric components present on its line of sight (LOS) as it passes through the atmosphere. The solar spectrum is directly measured when the LOS is above the atmosphere. Special observations were therefore made to construct the solar spectrum in the 0.7-1.7 μm domain. This is mainly useful for ACS-NIR calibrations and for other experiments. The observations consist in recording all the diffraction orders of ACS-NIR by continuously varying the frequency of its AOTF. Here we will present how to process this data to obtain the solar spectrum. We will first show how we get the flat field for image correction. Next, we will present how to overcome order contamination using a geometric method. We will then show how to correct the order intensity variations to obtain the solar spectrum. We will end by showing some results.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abdanour Irbah, Jean-Loup Bertaux, Franck Montmessin, Léa Scheveiler, Gaetan Lacombe, Alexander Trokhimovskiy, Oleg Korablev, Anna Fedorova, Andrey Patrakeev, and Alexei Shakun "Processing of ACS-NIR observations to build the solar spectrum with high spectral resolution in the 0.7-1.7 μm domain", Proc. SPIE 12180, Space Telescopes and Instrumentation 2022: Optical, Infrared, and Millimeter Wave, 121803H (27 August 2022); https://doi.org/10.1117/12.2629398
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KEYWORDS
Diffraction

Spectroscopy

Sun

Stray light

Sensors

Image processing

Calibration

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