170 citations · 1.5k across the 40 of their papers we have counts for
39 papers
J-PAS: unprecedented precision in stellar populations of diffuse tidal features
Sepideh Eskandarlou, Mohammad Akhlaghi, Francisco Arizo-Borillo +38
Galaxies frequently interact with nearby systems, a process that can significantly alter their morphology and star formation activity. However, spectroscopic studies of their faint…
J-PAS: Semi-Supervised Sim-to-Obs Transfer for Robust Star--Galaxy--Quasar Classification
Daniel López-Cano, L. Raul Abramo, L. Nakazono +28
Modern studies in astrophysics and cosmology increasingly rely on simulations and cross-survey analyses, yet differences in data generation, instrumentation, calibration, and unmod…
The miniJPAS and J-NEP surveys: Machine learning for star-galaxy separation
Ana Paula Jeakel, Gabriel Vieira dos Santos, Valerio Marra +27
We present a supervised machine learning classification of sources from the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS) Pathfinder datasets: miniJP…
J-PLUS: Turning Off the Bright Stars
Sepideh Eskandarlou, Mohammad Akhlaghi, Johan H. Knapen +23
Photometric surveys require precise point spread function (PSF) characterization, as it varies across filters and is crucial for accurate photometry and low surface brightness (LSB…
J-PAS: forecast on the primordial power spectrum reconstruction
Guillermo Martínez-Somonte, Airam Marcos-Caballero, Enrique Martínez-González +27
We investigate the capability of the J-PAS survey to constrain the primordial power spectrum using a non-parametric Bayesian method. Specifically, we analyze simulated power spectr…
The miniJPAS survey quasar selection V: combined algorithm
Ignasi Pérez-Ràfols, L. Raul Abramo, Ginés Martínez-Solaeche +27
Aims. Quasar catalogues from narrow-band photometric data are used in a variety of applications, including targeting for spectroscopic follow-up, measurements of supermassive black…