Exploring the spatially-resolved capabilities of the J-PAS survey with Py2DJPAS
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| Format: | Preprint |
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2025
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| author | Rodríguez-Martín, J. E. Díaz-García, L. A. Delgado, R. M. González Martínez-Solaeche, G. García-Benito, R. de Amorim, A. Thainá-Batista, J. Fernandes, R. Cid Márquez, I. Fernández-Soto, A. Breda, I. Abramo, R. Alcaniz, J. Benítez, N. Bonoli, S. Carneiro, S. Cenarro, A. J. Cristóbal-Hornillos, D. Dupke, R. A. Ederoclite, A. Hernán-Caballero, A. Hernández-Monteagudo, C. López-Sanjuan, C. Marín-Franch, A. de Oliveira, C. Mendes Moles, M. Sodré, L. Taylor, K. Varela, J. Ramió, H. Vázquez |
| author_facet | Rodríguez-Martín, J. E. Díaz-García, L. A. Delgado, R. M. González Martínez-Solaeche, G. García-Benito, R. de Amorim, A. Thainá-Batista, J. Fernandes, R. Cid Márquez, I. Fernández-Soto, A. Breda, I. Abramo, R. Alcaniz, J. Benítez, N. Bonoli, S. Carneiro, S. Cenarro, A. J. Cristóbal-Hornillos, D. Dupke, R. A. Ederoclite, A. Hernán-Caballero, A. Hernández-Monteagudo, C. López-Sanjuan, C. Marín-Franch, A. de Oliveira, C. Mendes Moles, M. Sodré, L. Taylor, K. Varela, J. Ramió, H. Vázquez |
| contents | We present Py2DJPAS, a Python-based tool to automate the analysis of spatially resolved galaxies in the \textbf{miniJPAS} survey, a 1~deg$^2$ precursor of the J-PAS survey, using the same filter system, telescope, and Pathfinder camera. Py2DJPAS streamlines the entire workflow: downloading scientific images and catalogs, performing PSF homogenization, masking, aperture definition, SED fitting, and estimating optical emission line equivalent widths via an artificial neural network.
We validate Py2DJPAS on a sample of resolved miniJPAS galaxies, recovering magnitudes in all bands consistent with the catalog ($\sim 10$~\% precision using SExtractor). Local background estimation improves results for faint galaxies and apertures. PSF homogenization enables consistent multi-band photometry in inner apertures, allowing pseudo-spectra generation without artifacts. SED fitting across annular apertures yields residuals $<10$~\%, with no significant wavelength-dependent bias for regions with $S/N>5$.
We demonstrate the IFU-like capability of J-PAS by analyzing the spatially resolved properties of galaxy 2470-10239 at $z = 0.078$, comparing them to MaNGA data within 1 half-light radius (HLR). We find excellent agreement in photometric vs. spectroscopic measurements and stellar mass surface density profiles. Our analysis extends to 4 HLR (S/N~$\sim$~5), showing that J-PAS can probe galaxy outskirts, enabling the study of evolutionary processes at large galactocentric distances. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2509_12327 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Exploring the spatially-resolved capabilities of the J-PAS survey with Py2DJPAS Rodríguez-Martín, J. E. Díaz-García, L. A. Delgado, R. M. González Martínez-Solaeche, G. García-Benito, R. de Amorim, A. Thainá-Batista, J. Fernandes, R. Cid Márquez, I. Fernández-Soto, A. Breda, I. Abramo, R. Alcaniz, J. Benítez, N. Bonoli, S. Carneiro, S. Cenarro, A. J. Cristóbal-Hornillos, D. Dupke, R. A. Ederoclite, A. Hernán-Caballero, A. Hernández-Monteagudo, C. López-Sanjuan, C. Marín-Franch, A. de Oliveira, C. Mendes Moles, M. Sodré, L. Taylor, K. Varela, J. Ramió, H. Vázquez Astrophysics of Galaxies Instrumentation and Methods for Astrophysics We present Py2DJPAS, a Python-based tool to automate the analysis of spatially resolved galaxies in the \textbf{miniJPAS} survey, a 1~deg$^2$ precursor of the J-PAS survey, using the same filter system, telescope, and Pathfinder camera. Py2DJPAS streamlines the entire workflow: downloading scientific images and catalogs, performing PSF homogenization, masking, aperture definition, SED fitting, and estimating optical emission line equivalent widths via an artificial neural network. We validate Py2DJPAS on a sample of resolved miniJPAS galaxies, recovering magnitudes in all bands consistent with the catalog ($\sim 10$~\% precision using SExtractor). Local background estimation improves results for faint galaxies and apertures. PSF homogenization enables consistent multi-band photometry in inner apertures, allowing pseudo-spectra generation without artifacts. SED fitting across annular apertures yields residuals $<10$~\%, with no significant wavelength-dependent bias for regions with $S/N>5$. We demonstrate the IFU-like capability of J-PAS by analyzing the spatially resolved properties of galaxy 2470-10239 at $z = 0.078$, comparing them to MaNGA data within 1 half-light radius (HLR). We find excellent agreement in photometric vs. spectroscopic measurements and stellar mass surface density profiles. Our analysis extends to 4 HLR (S/N~$\sim$~5), showing that J-PAS can probe galaxy outskirts, enabling the study of evolutionary processes at large galactocentric distances. |
| title | Exploring the spatially-resolved capabilities of the J-PAS survey with Py2DJPAS |
| topic | Astrophysics of Galaxies Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2509.12327 |