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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.06403 |
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| _version_ | 1866915331846438912 |
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| author | Stevance, Heloise F. Leland, Jack Smith, Ken W. |
| author_facet | Stevance, Heloise F. Leland, Jack Smith, Ken W. |
| contents | The Asteroid Terrestrial-impact Last Alert System (ATLAS) is an all-sky optical sky survey with a cadence of 24 to 48 hours and the ATLAS Transient Server processes the alert stream to enable the discovery and follow-up of extra-galactic transients. The data from the ATLAS server can be accessed through a REST API, which has allowed the development of bots that need direct access to the data to help rank alerts and trigger followup observations of promising targets. Here we present the python client we have developed for the ATLAS API to help connect bots and scientists to our data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_06403 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Python client for the ATLAS API Stevance, Heloise F. Leland, Jack Smith, Ken W. Instrumentation and Methods for Astrophysics The Asteroid Terrestrial-impact Last Alert System (ATLAS) is an all-sky optical sky survey with a cadence of 24 to 48 hours and the ATLAS Transient Server processes the alert stream to enable the discovery and follow-up of extra-galactic transients. The data from the ATLAS server can be accessed through a REST API, which has allowed the development of bots that need direct access to the data to help rank alerts and trigger followup observations of promising targets. Here we present the python client we have developed for the ATLAS API to help connect bots and scientists to our data. |
| title | A Python client for the ATLAS API |
| topic | Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2506.06403 |