Pipeline for the Antarctic Survey Telescope 3-3 in Yaoan, Yunnan
AST3-3 is the third robotic facility of the Antarctic Survey Telescopes (AST3) for transient surveys to be deployed at Dome A, Antarctica. Due to the current pandemic, the telescope has been currently deployed at the Yaoan Observation Station in China, starting the commissioning observation and a tr...
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ftdoajarticles:oai:doaj.org/article:d186658962d9438e94179cbba76f5f34 2023-05-15T13:46:44+02:00 Pipeline for the Antarctic Survey Telescope 3-3 in Yaoan, Yunnan Tianrui Sun Lei Hu Songbo Zhang Xiaoyan Li Kelai Meng Xuefeng Wu Lifan Wang A. J. Castro-Tirado 2022-07-01T00:00:00Z https://doi.org/10.3389/fspas.2022.897100 https://doaj.org/article/d186658962d9438e94179cbba76f5f34 EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/fspas.2022.897100/full https://doaj.org/toc/2296-987X 2296-987X doi:10.3389/fspas.2022.897100 https://doaj.org/article/d186658962d9438e94179cbba76f5f34 Frontiers in Astronomy and Space Sciences, Vol 9 (2022) data analysis—astrometry—instrumentation image processing photometric—(stars) transient detection convolutional neural networks—CNN Astronomy QB1-991 Geophysics. Cosmic physics QC801-809 article 2022 ftdoajarticles https://doi.org/10.3389/fspas.2022.897100 2022-12-31T01:54:36Z AST3-3 is the third robotic facility of the Antarctic Survey Telescopes (AST3) for transient surveys to be deployed at Dome A, Antarctica. Due to the current pandemic, the telescope has been currently deployed at the Yaoan Observation Station in China, starting the commissioning observation and a transient survey. This article presented a fully automatic data processing system for AST3-3 observations. The transient detection pipeline uses state-of-the-art image subtraction techniques optimized for GPU devices. Image reduction and transient photometry are accelerated by concurrent task methods. Our Python-based system allows for transient detection from wide-field data in a real-time and accurate way. A ResNet-based rotational-invariant neural network was employed to classify the transient candidates. As a result, the system enables the auto-generation of transients and their light curves. Article in Journal/Newspaper Antarc* Antarctic Antarctica Directory of Open Access Journals: DOAJ Articles Antarctic The Antarctic Frontiers in Astronomy and Space Sciences 9 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
data analysis—astrometry—instrumentation image processing photometric—(stars) transient detection convolutional neural networks—CNN Astronomy QB1-991 Geophysics. Cosmic physics QC801-809 |
spellingShingle |
data analysis—astrometry—instrumentation image processing photometric—(stars) transient detection convolutional neural networks—CNN Astronomy QB1-991 Geophysics. Cosmic physics QC801-809 Tianrui Sun Lei Hu Songbo Zhang Xiaoyan Li Kelai Meng Xuefeng Wu Lifan Wang A. J. Castro-Tirado Pipeline for the Antarctic Survey Telescope 3-3 in Yaoan, Yunnan |
topic_facet |
data analysis—astrometry—instrumentation image processing photometric—(stars) transient detection convolutional neural networks—CNN Astronomy QB1-991 Geophysics. Cosmic physics QC801-809 |
description |
AST3-3 is the third robotic facility of the Antarctic Survey Telescopes (AST3) for transient surveys to be deployed at Dome A, Antarctica. Due to the current pandemic, the telescope has been currently deployed at the Yaoan Observation Station in China, starting the commissioning observation and a transient survey. This article presented a fully automatic data processing system for AST3-3 observations. The transient detection pipeline uses state-of-the-art image subtraction techniques optimized for GPU devices. Image reduction and transient photometry are accelerated by concurrent task methods. Our Python-based system allows for transient detection from wide-field data in a real-time and accurate way. A ResNet-based rotational-invariant neural network was employed to classify the transient candidates. As a result, the system enables the auto-generation of transients and their light curves. |
format |
Article in Journal/Newspaper |
author |
Tianrui Sun Lei Hu Songbo Zhang Xiaoyan Li Kelai Meng Xuefeng Wu Lifan Wang A. J. Castro-Tirado |
author_facet |
Tianrui Sun Lei Hu Songbo Zhang Xiaoyan Li Kelai Meng Xuefeng Wu Lifan Wang A. J. Castro-Tirado |
author_sort |
Tianrui Sun |
title |
Pipeline for the Antarctic Survey Telescope 3-3 in Yaoan, Yunnan |
title_short |
Pipeline for the Antarctic Survey Telescope 3-3 in Yaoan, Yunnan |
title_full |
Pipeline for the Antarctic Survey Telescope 3-3 in Yaoan, Yunnan |
title_fullStr |
Pipeline for the Antarctic Survey Telescope 3-3 in Yaoan, Yunnan |
title_full_unstemmed |
Pipeline for the Antarctic Survey Telescope 3-3 in Yaoan, Yunnan |
title_sort |
pipeline for the antarctic survey telescope 3-3 in yaoan, yunnan |
publisher |
Frontiers Media S.A. |
publishDate |
2022 |
url |
https://doi.org/10.3389/fspas.2022.897100 https://doaj.org/article/d186658962d9438e94179cbba76f5f34 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Antarctica |
genre_facet |
Antarc* Antarctic Antarctica |
op_source |
Frontiers in Astronomy and Space Sciences, Vol 9 (2022) |
op_relation |
https://www.frontiersin.org/articles/10.3389/fspas.2022.897100/full https://doaj.org/toc/2296-987X 2296-987X doi:10.3389/fspas.2022.897100 https://doaj.org/article/d186658962d9438e94179cbba76f5f34 |
op_doi |
https://doi.org/10.3389/fspas.2022.897100 |
container_title |
Frontiers in Astronomy and Space Sciences |
container_volume |
9 |
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1766245167611772928 |