Abstract Details

Name: Aparna Sekhar E R
Affiliation: Cochin University of science and Technology
Conference ID: ASI2025_328
Title: Modeling Optical Performance in Integrated Model of Segmented Mirror Telescopes
Authors: Aparna Sekhar E R 1, Prasanna Deshmukh 2
Authors Affiliation: 1 Cochin University of Science and Technology, Kochi-682022, India 2 Indian Institute of Astrophysics, Bangaluru-560034, India
Mode of Presentation: Oral
Abstract Category: Facilities, Technologies and Data science
Abstract: This project presents advanced modeling and simulation studies of the Large Segmented Mirror Telescope utilizing the SMT Integrated Modeling Tool (codeSMT), currently being developed at the Indian Institute of Astrophysics (IIA). A crucial focus of this study is the optical performance modeling of the segmented mirror telescope under dynamic conditions of Atmospheric Seeing. This study will aid in the optimal design and performance prediction of the National Large Optical Telescope (NLOT). In the first phase, we generated atmospheric turbulence phase screen to simulate the impact of atmospheric conditions on the phase of light wavefront as they propagate through Earth’s atmosphere. Our analysis reveals the effects of turbulence on point spread functions (PSFs), providing insight into how atmospheric distortions can degrade image quality. In the second phase, we modeled the adaptive optics (AO) system for the NLOT, specifically addressing lower-order aberrations such as tip and tilt. By correcting for tip-tilt aberrations, we demonstrate an improvement in the image quality. This correction is vital, as it effectively mitigates a substantial portion of the atmospheric aberrations that distort incoming wavefront. To implement this correction, we employed a zonal sensing method, which divides the wavefront into multiple zones. The deviations from a plane wavefront are measured using quad-cell photodetectors, whose dimensions are carefully selected to align with the expected PSF size. Our findings underscore the importance of optical performance modeling in optimal design and performance prediction of the large Segmented Mirror Telescopes.