Introduction

LEOSatpy is a Python-based pipeline designed for the reduction, calibration, and analysis of satellite trail observations captured by various telescopes. It provides automated workflows for processing raw FITS images, performing astrometric calibrations, and detecting and analysing satellite trails with high precision. LEOSatpy supports diverse datasets and offers extensive configuration options to adapt to different observational setups, making LEOSatpy is a versatile tool for astronomers studying the impact of satellite constellations on astronomical observations.

Highlights

Changes since version 0.4.0

• Updated the catalogue query request to use https
• Commits log:
  • Re-merge by @chradam-py in https://github.com/CLEOsat-group/leosatpy/pull/62
  • Develop by @chradam-py in https://github.com/CLEOsat-group/leosatpy/pull/64

Full Changelog: https://github.com/CLEOsat-group/leosatpy/compare/0.4.0-alpha...v0.4.1-alpha