Contrast performance of an 8m off-axis, segmented space telescope equipped with an adaptive optics system

التفاصيل البيبلوغرافية
العنوان: Contrast performance of an 8m off-axis, segmented space telescope equipped with an adaptive optics system
المؤلفون: Potier, Axel, Ruane, Garreth, Tajdaran, Kiarash, Stark, Chris, Chen, Pin, Dewell, Larry, Juanola-Parramon, Roser, Nordt, Alison, Pueyo, Laurent, Redding, David, Riggs, A J Eldorado, Sirbu, Dan
سنة النشر: 2022
المجموعة: Astrophysics
مصطلحات موضوعية: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Earth and Planetary Astrophysics
الوصف: The Astro2020 decadal survey recommended an infrared, optical, ultra-violet (IR/O/UV) telescope with a $\sim$6~m inscribed diameter and equipped with a coronagraph instrument to directly image exoEarths in the habitable zone of their host star. A telescope of such size may need to be segmented to be folded and then carried by current launch vehicles. However, a segmented primary mirror introduces the potential for additional mid spatial frequency optical wavefront instabilities during the science operations that would degrade the coronagraph performance. A coronagraph instrument with a wavefront sensing and control (WS\&C) system can stabilize the wavefront with a picometer precision at high temporal frequencies ($>$1Hz). In this work, we study a realistic set of aberrations based on a finite element model of a slightly larger (8m circumscribed, 6.7m inscribed diameter) segmented telescope with its payload. We model an adaptive optics (AO) system numerically to compute the post-AO residuals. The residuals then feed an end-to-end model of a vortex coronagraph instrument. We report the long exposure contrast and discuss the overall benefits of the adaptive optics system in the flagship mission success.
Comment: Submitted to Proceedings of SPIE Astronomical Telescopes + Instrumentation, Montreal, 2022
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2208.08553
رقم الأكسشن: edsarx.2208.08553
قاعدة البيانات: arXiv