Multiwavelength exploration of Extreme Emission Line Galaxies detected in miniJPAS survey

• DOI: 10.48550/arxiv.2401.13816
• Publication Date: 2024-01-01
• Authors: Iris Breda; Stergios Amarantidis; J. M. Vı́lchez; E. Pérez‐Montero; C. Kehrig; J. Iglésias-Páramo; A. Arroyo-Polonio; J. A. Fernández-O...; R. M. González De...; L. A. Díaz-García; L. Raul Abramo; J. Alcaniz; N. Benı́tez; Silvia Bonoli; Javier A. Cenarro; D. Cristóbal-Horn...; Renato A. Dupke; A. Ederoclite; A. Hernán-Caballero; C. López-Sanjuán; A. Marín-Franch; C. Mendes de Oliv...; M. Moles; L. Sodré; Keith Taylor; J. Varela; H. Vázquez-Ramió

Extreme Emission Line Galaxies (EELGs) stand as remarkable objects due to their extremely metal poor environment and intense star formation. Considered local analogues of high-redshift galaxies in the peak star-forming activity, they offer insights into conditions prevalent during early Universe. Assessment stellar gas properties is, therefore, critical importance, which requires assembly a considerable sample, comprehending broad redshift range. The Javalambre-Physics Accelerating Universe Astrophysical Survey (JPAS) plays significant role assembling such encompassing approximately 8000 deg2 employing 54 narrow-band optical filters. present work describes development subsequent application tools that will be employed forthcoming JPAS spectrophotometric data, allowing for massive automated characterization EELGs are expected identified. This fully pipeline (requiring only object coordinates from users) constructs Spectral Energy Distributions (SEDs) by retrieving virtually all available multi-wavelength photometric data archives, employs SED fitting identifies emission lines. It was applied sample extreme line emitters identified miniJPAS Survey, its derived physical mass age, coupled with fundamental relations, mirror results obtained through spectral modeling SDSS spectra. Thorough testing using documented measurements across different wavelengths confirmed pipeline's accuracy, demonstrating capability analysis sources varying characteristics, spanning brightness, morphology, redshifts. modular nature this facilitates any addition user.