Mr. Benjamin Clark Wilson Profile

Benjamin Clark Wilson

at Air Force Institute of Technology

SPIE Involvement:

Author | Student Chapter President

Publications (14)

Proceedings Article | 7 October 2024 Presentation + Paper

Image blur due to aerosols and correlation with aerosol morphology and optical properties

Patricia Byrd, Aaron Goertzen, Santasri Bose-Pillai, Kevin Keefer, Steven Fiorino, Benjamin Wilson

Proceedings Volume 13149, 131491C (2024) https://doi.org/10.1117/12.3028355

KEYWORDS: Aerosols, Modulation transfer functions, Turbulence, Imaging systems, Atmospheric particles, Scattering, Scatter measurement, Optical properties

Read Abstract +

Proceedings Article | 7 October 2024 Presentation + Paper

An assessment of the energy balance Bowen ratio method to quantify optical turbulence in the maritime environment

Steven Fiorino, Jaclyn Schmidt, Yogendra Raut, Laura Slabaugh, Benjamin Wilson, Santasri Bose-Pillai, Kevin Keefer

Proceedings Volume 13149, 131490U (2024) https://doi.org/10.1117/12.3028339

KEYWORDS: Aerodynamics, Heat flux, Water, Sensors, Humidity, Thermal stability, Optical turbulence, Temperature metrology, Wind speed, Wind measurement

Read Abstract +

Proceedings Article | 3 October 2023 Presentation + Paper

A new approach to profiling atmospheric turbulence using a dynamically ranged Raleigh beacon system

Benjamin Wilson, Santasri Bose-Pillai, Steven Zuraski, Jack McCrae, Steven Fiorino

Proceedings Volume 12693, 126930P (2023) https://doi.org/10.1117/12.2678076

KEYWORDS: Turbulence, Wavefront sensors, Beam path, Profiling, Sensors, Atmospheric modeling, Wavefronts, Rayleigh guide stars, Atmospheric turbulence, Sensing systems

Read Abstract +

Proceedings Article | 3 October 2023 Presentation + Paper

Attempting to understand the vertical distribution of turbulence in the surface layer from multi-camera time-lapse imagery

Benjamin Wilson, Santasri Bose-Pillai, Robert Freeman, Jack McCrae, Steven Fiorino, Kevin Keefer

Proceedings Volume 12693, 126930L (2023) https://doi.org/10.1117/12.2677937

KEYWORDS: Cameras, Turbulence, Air force, Matrices, Profiling, Instrument modeling, Feature extraction, Windows, Wind speed, Temperature metrology

Read Abstract +

Proceedings Article | 3 October 2023 Presentation + Paper

Sonic anemometry with simulated and measured atmospheric turbulence

Jack McCrae, Santasri Bose-Pillai, Benjamin Wilson, Steven Fiorino

Proceedings Volume 12693, 126930O (2023) https://doi.org/10.1117/12.2677853

KEYWORDS: Wind speed, Turbulence, Atmospheric turbulence, Temperature metrology, Ultrasonics, Sensors, Refraction, Data modeling, Computer simulations, Ultrasound transducers

Read Abstract +

Proceedings Article | 3 October 2023 Presentation + Paper

Quantification of surface layer turbulence using sensible heat values from energy balance versus aerodynamic methods

Steven Fiorino, Yogendra Raut, Jack McCrae, Santasri Bose-Pillai, Ben Wilson, Blaine Fourman

Proceedings Volume 12693, 126930N (2023) https://doi.org/10.1117/12.2677352

KEYWORDS: Aerodynamics, Heat flux, Humidity, Turbulence, Thermal stability, Temperature metrology, Convection, Optical surfaces, Sensors, Wind speed

Read Abstract +

Proceedings Article | 4 October 2022 Presentation + Paper

Comparison between SODAR and anemometer-based turbulence measurements

Jack McCrae, Santasri Bose-Pillai, Yogendra Raut, Hendrick Raquet, Benjamin Wilson, Steven Fiorino

Proceedings Volume 12239, 1223907 (2022) https://doi.org/10.1117/12.2634206

KEYWORDS: Turbulence, Backscatter, Wind measurement, Temperature metrology, Calibration, Velocity measurements, Transducers, Heat flux, Ultrasonics, Signal processing

Read Abstract +

Proceedings Article | 4 October 2022 Presentation + Paper

Profiling atmospheric turbulence using a non-cooperative target and a camera bank and validating with sonic anemometers

Benjamin Wilson, Arjent Imeri, Santasri Bose-Pillai, Cruz Garcia, Jack McCrae, Henry Raquet, Kevin Keefer, Steven Fiorino

Proceedings Volume 12239, 1223905 (2022) https://doi.org/10.1117/12.2633717

KEYWORDS: Cameras, Turbulence, Profiling, Imaging systems, Atmospheric turbulence, 3D metrology, Spherical lenses, Sensors, Receivers, Ranging

Read Abstract +

Proceedings Article | 30 September 2022 Presentation + Paper

Comparison of power spectrum and structure function methods to calculate turbulence parameters from sonic anemometer data

Melissa Beason, Stephen Shock, Santasri Bose-Pillai, Jack McCrae, Kevin Keefer, Benjamin Wilson

Proceedings Volume 12237, 122370G (2022) https://doi.org/10.1117/12.2632732

KEYWORDS: Turbulence, Defense and security, Meteorology

Read Abstract +

Proceedings Article | 4 August 2021 Presentation

Investigating the outer scale of turbulence with time domain processing of anemometer data

Jack McCrae, Steven Fiorino, Santasri Bose-Pillai, Benjamin Wilson

Proceedings Volume 11836, 1183604 (2021) https://doi.org/10.1117/12.2594967

KEYWORDS: Turbulence, Temperature metrology, Refraction, Spatial frequencies, Optical turbulence

Read Abstract +

Proceedings Article | 1 August 2021 Presentation + Paper

Profiling atmospheric turbulence along a slant path using LEDs and a camera bank

Santasri Bose-Pillai, Benjamin Wilson, Jonathan Krone, Jack McCrae, Steven Fiorino

Proceedings Volume 11836, 1183601 (2021) https://doi.org/10.1117/12.2595009

KEYWORDS: Cameras, Turbulence, Light emitting diodes, Profiling, Imaging systems, Atmospheric turbulence, Motion measurement

Read Abstract +

Proceedings Article | 8 September 2020 Presentation + Paper

Validation of HTS optical turbulence profiling via sonic anemometry

Alexander Boeckenstedt, Jack McCrae, Santasri Bose-Pillai, Benjamin Wilson, Steven Fiorino

Proceedings Volume 11508, 1150805 (2020) https://doi.org/10.1117/12.2568595

KEYWORDS: Turbulence, Profiling, Telescopes, Optical turbulence, Wavefronts, Helium neon lasers, Anisotropy, Atmospheric propagation, Wave propagation

Read Abstract +

Proceedings Article | 22 August 2020 Presentation + Paper

Profiling atmospheric turbulence using dual-camera imagery of non-cooperative targets

Santasri Bose-Pillai, Benjamin Wilson, Jonathan Krone, Aaron Archibald, Brannon Elmore, Jack McCrae, Steven Fiorino

Proceedings Volume 11506, 115060J (2020) https://doi.org/10.1117/12.2569048

KEYWORDS: Cameras, Turbulence, Profiling, Atmospheric turbulence, Imaging systems, Motion measurement, Sensors, Receivers

Read Abstract +

Proceedings Article | 20 August 2020 Paper

Turbulence profiling with a dual beacon Hartmann turbulence sensor using simulation derived weighting functions

Jack McCrae, Santasri Bose-Pillai, Alexander Boeckenstedt, Ben Wilson, Kevin Keefer, Steven Fiorino

Proceedings Volume 11508, 1150806 (2020) https://doi.org/10.1117/12.2568822

KEYWORDS: Turbulence, Telescopes, Device simulation, Atmospheric propagation, Sensors, Profiling, Computer simulations, Optical simulations, Atmospheric turbulence

Read Abstract +

Atmospheric turbulence profiles were estimated for a horizontal path based upon measurements made with a dual beacon Hartmann Turbulence Sensor (HTS) using simulation derived weighting functions. These results are compared to estimates made using a weighting functions computed from theory. These results are further compared to anemometer and scintillometer based turbulence estimates for the same path. The previously published theoretical weighting functions for this situation are based upon some presumptions of geometric optics and thus ignore both diffraction and scintillation effects. All of these weighting functions quantify how turbulence at different distances along the path contributes to the expected value of the differential tilt variances measured by the HTS. In the experiment, the HTS used a 16” Meade telescope with 700 subapertures along a 511 m path roughly 2 meters above the ground. Two HeNe lasers separated by 11 cm served as beacons, each was beam expanded to well overfill the telescope aperture. The same situation was simulated with wave optics. To create simulated weighting functions, a single (usually weak) random turbulence screen was inserted at a single plane perpendicularly to the propagation path. Light from one beacon was then numerically propagated to the telescope aperture where the tilts were computed over each subaperture and saved. This propagation was then carried out for the second beacon. This random phase screen was then inserted at a different propagation plane and this procedure was repeated. When all the desired positions along the beam path had been sampled a new random phase screen was generated and this whole procedure was repeated hundreds of times. The desired weighting functions were then generated by computing the differential tilt variance between the beacons and all pairs of horizontally separated subapertures for each path position. All equivalent subaperture separations within each range bin were then averaged together to produce weighting functions which depend on path position and subaperture separation distance. The weighting functions produced in this fashion showed some differences from the theoretical ones. They were a little weaker far from the telescope, and they showed a somewhat broadened notch where the beacons overlapped compared to the theoretical ones. The effect of these differences on the resulting turbulence profile estimates will be discussed.

Showing 5 of 14 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years