248 citations · 1.5k across the 56 of their papers we have counts for
56 papers
J-PLUS: Beyond Spectroscopy III. Stellar Parameters and Elemental-abundance Ratios for Five Million Stars from DR3
Yang Huang, Timothy C. Beers, Kai Xiao +24
We present a catalog of stellar parameters (effective temperature , surface gravity , age, and metallicity [Fe/H]) and elemental-abundance ratios ([C/Fe], [Mg/…
J-PLUS: Bayesian object classification with a strum of BANNJOS
A. del Pino, C. López-Sanjuan, A. Hernán-Caballero +22
With its 12 optical filters, the Javalambre-Photometric Local Universe Survey (J-PLUS) provides an unprecedented multicolor view of the local Universe. The third data release (DR3)…
The miniJPAS survey: Optical detection of galaxy clusters with PZWav
L. Doubrawa, E. S. Cypriano, A. Finoguenov +21
Galaxy clusters are an essential tool to understand and constrain the cosmological parameters of our Universe. Thanks to its multi-band design, J-PAS offers a unique group and clus…
Supernova environments in J-PLUS. Normalized Cumulative Rank distributions and stellar population synthesis, combining narrow- and broad-band filters
Raul González-Díaz, Lluís Galbany, Tuomas Kangas +26
We study the local environmental properties of 418 supernovae (SNe) of all types using data from the Javalambre Photometric Local Universe Survey (J-PLUS), which includes 5 broad-…
The miniJPAS survey. Evolution of the luminosity and stellar mass functions of galaxies up to
L. A. Díaz-García, R. M. González Delgado, R. García-Benito +22
We aim at developing a robust methodology for constraining the luminosity and stellar mass functions (LMFs) of galaxies by solely using data from multi-filter surveys and testing t…
The miniJPAS survey: Maximising the photo-z accuracy from multi-survey datasets with probability conflation
A. Hernán-Caballero, M. Akhlaghi, C. López-Sanjuan +35
We present a new method for obtaining photometric redshifts (photo-z) for sources observed by multiple photometric surveys using a combination (conflation) of the redshift probabil…