Pipe3D, a pipeline for IFS galaxy surveys
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 (GS...
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ftzenodo:oai:zenodo.org:4721653 2024-09-15T18:33:24+00:00 Pipe3D, a pipeline for IFS galaxy surveys Sánchez, Sebastian Francisco Lacerda, E. Mejía-Narvaez, A. Espinosa-Ponce, C. Lopez, C. Ibarra-Medel, H. Camps-Farina, A. Barrera-Ballesteros, J.K. 2021-04-26 https://doi.org/10.5281/zenodo.4721653 unknown Zenodo https://zenodo.org/communities/galspec2021 https://doi.org/10.5281/zenodo.4721652 https://doi.org/10.5281/zenodo.4721653 oai:zenodo.org:4721653 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode GALSPEC2021, Extragalactic Spectroscopic Surveys: Past, Present and Future of Galaxy Evolution (GALSPEC2021), Online, April 12-16, 2021 info:eu-repo/semantics/conferencePoster 2021 ftzenodo https://doi.org/10.5281/zenodo.472165310.5281/zenodo.4721652 2024-07-27T06:49:02Z 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). Conference Object sami Zenodo |
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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). |
format |
Conference Object |
author |
Sánchez, Sebastian Francisco Lacerda, E. Mejía-Narvaez, A. Espinosa-Ponce, C. Lopez, C. Ibarra-Medel, H. Camps-Farina, A. Barrera-Ballesteros, J.K. |
spellingShingle |
Sánchez, Sebastian Francisco Lacerda, E. Mejía-Narvaez, A. Espinosa-Ponce, C. Lopez, C. Ibarra-Medel, H. Camps-Farina, A. Barrera-Ballesteros, J.K. Pipe3D, a pipeline for IFS galaxy surveys |
author_facet |
Sánchez, Sebastian Francisco Lacerda, E. Mejía-Narvaez, A. Espinosa-Ponce, C. Lopez, C. Ibarra-Medel, H. Camps-Farina, A. Barrera-Ballesteros, J.K. |
author_sort |
Sánchez, Sebastian Francisco |
title |
Pipe3D, a pipeline for IFS galaxy surveys |
title_short |
Pipe3D, a pipeline for IFS galaxy surveys |
title_full |
Pipe3D, a pipeline for IFS galaxy surveys |
title_fullStr |
Pipe3D, a pipeline for IFS galaxy surveys |
title_full_unstemmed |
Pipe3D, a pipeline for IFS galaxy surveys |
title_sort |
pipe3d, a pipeline for ifs galaxy surveys |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://doi.org/10.5281/zenodo.4721653 |
genre |
sami |
genre_facet |
sami |
op_source |
GALSPEC2021, Extragalactic Spectroscopic Surveys: Past, Present and Future of Galaxy Evolution (GALSPEC2021), Online, April 12-16, 2021 |
op_relation |
https://zenodo.org/communities/galspec2021 https://doi.org/10.5281/zenodo.4721652 https://doi.org/10.5281/zenodo.4721653 oai:zenodo.org:4721653 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.472165310.5281/zenodo.4721652 |
_version_ |
1810475105486110720 |