An Optimization Framework for Wide-Field Small Aperture Telescope Arrays Used in Sky Surveys

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Xiang, Wennan, Jia, Peng, Li, Zhengyang, Liu, Jifeng, Ying, Zhenyu, Bai, Zeyu
Format: Preprint
Publié: 2025
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866916721948884992
author Xiang, Wennan
Jia, Peng
Li, Zhengyang
Liu, Jifeng
Ying, Zhenyu
Bai, Zeyu
author_facet Xiang, Wennan
Jia, Peng
Li, Zhengyang
Liu, Jifeng
Ying, Zhenyu
Bai, Zeyu
contents For time-domain astronomy, it is crucial to frequently image celestial objects at specific depths within a predetermined cadence. To fulfill these scientific demands, scientists globally have started or planned the development of non-interferometric telescope arrays in recent years. Due to the numerous parameters involved in configuring these arrays, there is a need for an automated optimization framework that selects parameter sets to satisfy scientific needs while minimizing costs. In this paper, we introduce such a framework, which integrates optical design software, an exposure time calculator, and an optimization algorithm, to balance the observation capabilities and the cost of optical telescope arrays. Neural networks are utilized to speed up results retrieval of the system with different configurations. We use the SiTian project as a case study to demonstrate the framework's effectiveness, showing that this approach can aid scientists in selecting optimal parameter sets. The code for this framework is published in the China Virtual Observatory PaperData Repository, enabling users to optimize parameters for various non-interferometric telescope array projects.
format Preprint
id arxiv_https___arxiv_org_abs_2505_03094
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle An Optimization Framework for Wide-Field Small Aperture Telescope Arrays Used in Sky Surveys
Xiang, Wennan
Jia, Peng
Li, Zhengyang
Liu, Jifeng
Ying, Zhenyu
Bai, Zeyu
Instrumentation and Methods for Astrophysics
Instrumentation and Detectors
Optics
For time-domain astronomy, it is crucial to frequently image celestial objects at specific depths within a predetermined cadence. To fulfill these scientific demands, scientists globally have started or planned the development of non-interferometric telescope arrays in recent years. Due to the numerous parameters involved in configuring these arrays, there is a need for an automated optimization framework that selects parameter sets to satisfy scientific needs while minimizing costs. In this paper, we introduce such a framework, which integrates optical design software, an exposure time calculator, and an optimization algorithm, to balance the observation capabilities and the cost of optical telescope arrays. Neural networks are utilized to speed up results retrieval of the system with different configurations. We use the SiTian project as a case study to demonstrate the framework's effectiveness, showing that this approach can aid scientists in selecting optimal parameter sets. The code for this framework is published in the China Virtual Observatory PaperData Repository, enabling users to optimize parameters for various non-interferometric telescope array projects.
title An Optimization Framework for Wide-Field Small Aperture Telescope Arrays Used in Sky Surveys
topic Instrumentation and Methods for Astrophysics
Instrumentation and Detectors
Optics
url https://arxiv.org/abs/2505.03094