Large astronomical facilities produce enormous amounts of data that require automatic processing to be able to analyze and publish it in a timely fashion. When the ALMA observatory was planned more than 25 years ago, one of the key requirements was an automatic pipeline to make the data products readily available for the whole community, independent of the PI's background at a particular...
The growing volume of alerts from time-domain and multi-messenger astronomy, often with poor localization, necessitates automated and optimized follow-up scheduling. We present tilepy, an open-source Python package designed to meet this challenge by automatically generating efficient observation plans.
tilepy processes HEALPix-based sky maps to derive pointing schedules using various...
