Pipe3D, a pipeline for IFS galaxy surveys

• Main Authors: Sánchez, Sebastian Francisco (10707590), Lacerda, E. (10707593), Mejía-Narvaez, A. (10707596), Espinosa-Ponce, C. (10707599), Lopez, C. (5305864), Ibarra-Medel, H. (10707602), Camps-Farina, A. (10707605), Barrera-Ballesteros, J.K. (10707608)
• Format: Still Image
• Language: unknown
• Published: 2021
• Subjects: Genetics; Mental Health; Plant Biology; Environmental Sciences not elsewhere classified; Biological Sciences not elsewhere classified; Mathematical Sciences not elsewhere classified; SSP-library analysis; IFS galaxy surveys; CALIFA; AMUSSING; compilation; MPL -10 version; MaNGA; emission line properties; SAMI; pipe 3D; pipeline tool; MUSE data; GSD; Previous versions; sami
• Online Access: https://doi.org/10.5281/zenodo.4721653

We present the most recent results based on Pipe3D, a pipeline tool developed to analysis the spatial resolved stellar population and emission line properties. Previous versions of the pipeline was tested with CALIFA, MaNGA, SAMI and MUSE data (AMUSSING++ compilation), using only one SSP-library (GSD156), and a limited set of emission lines (52 galaxies). We introduce a new version of the code fully re-written in Python, that significantly improves the efficiency. In addition we have included different SSP-library analysis and a new set of emission lines (252 in total). We use this new version to analyze the MPL-10 version of the MaNGA dataset (~9500 galaxies), and we are in the process of reanalyzing the AMUSSING++ compilation (~900 galaxies observed with MUSE).