Authors: Monica Seglar-Arroyo, Halim Ashkar, Mathieu de Bony de Lavergne, Fabian Schüssler

Published on: July 25, 2024

Impact Score: 7.4

Arxiv code: Arxiv:2407.18076

Summary

• What is new: Introduction of tilepy, a Python package for automating follow-up observations of transient astrophysical events.
• Why this is important: Suboptimal localization of transient events and an increasing volume of alerts in multi-messenger astrophysics.
• What the research proposes: An automatic scheduling tool for mid and small-FoV telescope campaigns to improve follow-up observations.
• Results: Effective handling of multi-observatory and multi-wavelength campaigns, covering localization uncertainty regions, with the tool being publicly available on GitHub.

Technical Details

Technological frameworks used: Python package, tilepy

Models used: Automatic scheduling algorithms for follow-up observations

Data used: Localization data of various transient astrophysical events

Potential Impact

Astronomical research institutions, observatories, and space research organizations

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