Observation Scheduling and Automatic Data Reduction for the Antarctic telescope, ASTEP+
Georgina Dransfield, Djamel Mekarnia, Amaury H.M.J. Triaud, Tristan, Guillot, Lyu Abe, Lionel J. Garcia, Mathilde Timmermans, Nicolas Crouzet,, Francois-Xavier Schmider, Abdelkrim Agabi, Olga Suarez, Philippe Bendjoya,, Maximilian N. Gunther, Olivier Lai, Bruno Mer{\i}n

TL;DR
This paper describes the operational setup, data processing pipeline, and scheduling systems of ASTEP+, a telescope in Antarctica optimized for exoplanet transit observations, emphasizing automation and data transfer challenges.
Contribution
Introduction of a new Python pipeline with automatic transit modeling and a scheduling system tailored for remote Antarctic observations.
Findings
Enhanced photometric precision with the new pipeline
Successful automatic daily data transfer to Europe
Applicability of scheduling systems to other time-constrained astronomy
Abstract
The possibility to observe transiting exoplanets from Dome C in Antarctica provides immense benefits: stable weather conditions, limited atmospheric turbulence, and a night that lasts almost three months due to the austral winter. However, this site also presents significant limitations, such as limited access for maintenance and internet speeds of only a few KB/s. This latter factor means that the approximately 6 TB of data collected annually must be processed on site automatically, with only final data products being sent once a day to Europe. In this context, we present the current state of operations of ASTEP+, a 40 cm optical telescope located at Concordia Station in Antarctica. Following a successful summer campaign, ASTEP+ has begun the 2022 observing season with a brand-new two-colour photometer with increased sensitivity. A new Python data analysis pipeline installed on a…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Stellar, planetary, and galactic studies · Adaptive optics and wavefront sensing
