Statistics of turbulence parameters at Maunakea using the multiple wavefront sensor data of RAVEN-Reference-Cited by-同舟云学术

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Statistics of turbulence parameters at Maunakea using the multiple wavefront sensor data of RAVEN

Published:2016-12-31 Issue:4 Volume:465 Page:4931-4941
ISSN:0035-8711
Container-title:Monthly Notices of the Royal Astronomical Society
language:en
Short-container-title:Mon. Not. R. Astron. Soc.

Author:

Ono Yoshito H.,Correia Carlos M.,Andersen Dave R.,Lardière Olivier,Oya Shin,Akiyama Masayuki,Jackson Kate,Bradley Colin

Funder

ANR

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Reference30 articles.

1. Comparing the performance of open loop centroiding techniques in the Raven MOAO system

2. Determination of the profile of atmospheric optical turbulence strength from SLODAR data

3. Static and predictive tomographic reconstruction for wide-field multi-object adaptive optics systems

4. Spatio-angular minimum-variance tomographic controller for multi-object adaptive-optics systems

5. Atmospheric turbulence profiling using multiple laser star wavefront sensors

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1. Power of prediction: spatiotemporal Gaussian process modeling for predictive control in slope-based wavefront sensing;Journal of Astronomical Telescopes, Instruments, and Systems;2024-07-12

2. SLODAR System Development for Vertical Atmospheric Disturbance Profiling at Geochang Observatory;CURR OPT PHOTONICS;2024

3. SHARPEST: the atmospheric turbulence profiling experiment using Shack–Hartmann sensor at the Subaru telescope;Monthly Notices of the Royal Astronomical Society;2023-10-20

4. The Adaptive Optics System for the Gemini Infrared Multi-Object Spectrograph: Performance Modeling;Publications of the Astronomical Society of the Pacific;2023-10-01

5. Uniform Recalibration of Common Spectrophotometry Standard Stars onto the CALSPEC System Using the SuperNova Integral Field Spectrograph;The Astrophysical Journal Supplement Series;2022-10-21

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