Automation of Processing Large Volumes of Data from ALMA Interferometer

The results of the development of an automation system for processing large volumes of ALMA data are presented, enabling the processing and analysis of a large number of sources across multiple bands. The system’s capabilities allow for the execution of all necessary procedures to produce publication-quality images, including spectral line identification, creating moment maps in any lines, comparing line emissions with continuum images, overlaying interferometric positions of masers from the MaserDB.net database, identifying sources using the GaussClump method, generating animations of data cubes, and more. An advantage of the system is that all operations are performed within a single interface with simple configuration, enabling the processing of a large data volumes, when the number of source data files is 1 000 or more. The system accounts for the possibility of working with data containing interference at specific radial velocities. It has been successfully tested for analyzing observation data of star formation regions as part of the MAMMOtH project. A total of 114 sources were processed in the lines 13CO, DCN, SO, SiO, CH3CN. Comprehensive information on emissions in these lines was obtained, which, combined with literature analysis, allows for versatile investigation of the specified sources and investigating statistical characteristics for the whole source sample.