The ALMA Science Pipeline is used for the automated calibration and imaging of ALMA interferometric and single-dish (SD) data. ALMA interferometric data refers to observations obtained with either the ALMA 12-m Array or 7-m Array, while SD data refers to observations obtained with the 12-m dishes of the ALMA Total Power Array.

In this training session participants will learn how to run the ALMA Science Pipeline to re-process SD data to fit their own scientific purposes. Throughout the tutorial participants will be guided on how to tweak different parameters of the pipeline tasks to e.g., improve the quality of the continuum baseline fit, to change channel widths, flag antennas, etc. This will allow users to produce products of higher quality than the ones publicly available at the ALMA Science archive, as well as to tailor them to the specific requirements of their science projects. 

Tutor: Daniel Tafoya

Note: The tutors' presentation will be recorded and an edited version of the recording will be posted in the Science Portal [https://almascience.org/tools/eu-arc-network/i-train] after the session. The interactive Q&A will not be recorded.