wovepaper — the arXiv observatory

The paper presents a method that uses a quasi‑gravitational potential field to identify dynamically dominant cosmic voids and their galaxies in photometric surveys like J‑PAS, show…

#cosmic voids#photometric redshift errors#large-scale structure#galaxy surveys

astro-ph.GA2021

The GALANTE photometric survey of the northern Galactic plane: Project description and pipeline

J. MaÃz ApellÃ¡niz, E. J. Alfaro, R. H. BarbÃ¡ +9

Publications (64)

The miniJPAS survey. Evolution of the luminosity and stellar mass functions of galaxies up to $z \sim 0.7$

The miniJPAS survey quasar selection III: Classification with artificial neural networks and hybridisation

J-PAS: A value-added catalogue of optical line intensities for nebular emission galaxies (JOLINES)

J-PLUS: Identification of low-metallicity stars with artificial neural networks using SPHINX

Costs and benefits of automation for astronomical facilities

J-PLUS: The fraction of calcium white dwarfs along the cooling sequence

Galaxy properties from J-PAS narrow-band photometry

J-PLUS: The star formation main sequence and rate density at d < 75 Mpc

The miniJPAS survey: White dwarf science with 56 optical filters

Stellar characterization with photometric colors from J-PLUS and 2MASS surveys

Spatially resolved stellar populations and emission lines properties in nearby galaxies with J-PLUS -- I. Method and first results for the M101 group

The miniJPAS survey: The role of group environment in quenching the star formation

J-PLUS: Support Vector Machine Applied to STAR-GALAXY-QSOClassification

J-PLUS: photometric calibration of large area multi-filter surveys with stellar and white dwarf loci

J-PLUS: Spectroscopic validation of H$Î±$ emission line maps in spatially resolved galaxies

J-PLUS Reconstructing the Milky Way Disc's star formation history with twelve-filter photometry

J-PAS: A Neural Network Approach to Single Stellar Population Characterization

J-PLUS: Uncovering a large population of extreme [OIII] emitters in the local Universe

J-NEP: 60-band photometry and photometric redshifts for the James Webb Space Telescope North Ecliptic Pole Time-Domain Field

OJALÃ: Optimizing J-PAS Astronomy for Large-scale Analysis. A foundation model for the SED of galaxies, QSOs and stars

J-PLUS: Systematic impact of metallicity on photometric calibration with the stellar locus

The miniJPAS survey: star-galaxy classification using machine learning

J-VAR: Analysis of RR Lyrae light curves in seven optical bands

J-PLUS: Spectral evolution of white dwarfs by PDF analysis

J-PLUS: Morphological star/galaxy classification by PDF analysis

J-PLUS: Spectral classification and photometric redshifts for 79 million sources in the fourth data release

The miniJPAS survey: Identification and characterization of the emission line galaxies down to $z < 0.35$ in the AEGIS field

J-VAR: the northern variable sky in 7 filters -- First Data Release

J-PAS: First Identification, Physical Properties and Ionization Efficiency of Extreme Emission Line Galaxies

J-PLUS: measuring ${\rm H}Î±$ emission line fluxes in the nearby universe

The miniJPAS survey: a preview of the Universe in 56 colours

The GALANTE Photometric System

The miniJPAS survey: Dissecting galaxy properties across environments with spatially resolved photometry

J-PLUS: The Javalambre Photometric Local Universe Survey

J-PLUS: Bayesian object classification with a strum of BANNJOS

J-PLUS: Tomographic analysis of galaxy angular density and redshift fluctuations in Data Release 3. Constraints on photo-$z$ errors, linear bias, and peculiar velocities

J-PAS: Discovery of RaJav, a bright spatially extended Ly$Î±$ Nebula at z=2.25

J-PLUS: Support Vector Regression to Measure Stellar Parameters

J-PAS: forecasts on interacting vacuum energy models

J-PAS: Measuring emission lines with artificial neural networks

The J-PAS survey: The effect of photometric redshift errors on cosmic voids

Analysis of spatially resolved stellar populations and emission line properties in nearby galaxies with J-PLUS data. II-Results for the M51 group and first comparison with the M101 group

The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system

J-PLUS DR3: Galaxy-Star-Quasar classification

The miniJPAS survey: The galaxy populations in the most massive cluster in miniJPAS, mJPC2470-1771

J-PLUS: Discovery and characterisation of ultracool dwarfs using Virtual Observatory tools II. Second data release and machine learning methodology

J-PLUS: analysis of the intracluster light in the Coma cluster

The J-PLUS collaboration. Additive versus multiplicative systematics in surveys of the large scale structure of the Universe

J-PLUS: Understanding outlier white dwarfs in the third data release via dimensionality reduction

J-PLUS: 2-D analysis of the stellar population in NGC 5473 and NGC 5485

J-PLUS: On the identification of new cluster members in the double galaxy cluster A2589 & A2593 using PDFs

J-PAS: forecasts on dark energy and modified gravity theories

J-PLUS: Tools to identify compact planetary nebulae in the Javalambre and southern photometric local universe surveys

The miniJPAS survey: Optical detection of galaxy clusters with PZWav

J-PLUS: the impact of bars on quenching time-scales in nearby green valley disc galaxies

J-HERTz: J-PLUS Heritage Exploration of Radio Targets at z $<$ 5

J-PLUS: Towards an homogeneous photometric calibration using Gaia BP/RP low-resolution spectra

J-PLUS: The planetary nebula population of M 33

GALANTE: finding all the optically accessible Galactic O+B+WR stars in the Galactic Plane

The miniJPAS survey: clusters and galaxy groups detection with AMICO

J-PLUS: Discovery and characterisation of ultracool dwarfs using Virtual Observatory tools

Exploring the spatially-resolved capabilities of the J-PAS survey with Py2DJPAS

J-PAS & FLAMINGO: Cosmic voids and void galaxies in the gravitational landscape of photometric surveys

The GALANTE photometric survey of the northern Galactic plane: Project description and pipeline

OJALÃ: Optimizing J-PAS Astronomy for Large-scale Analysis. A foundation model for the SED of galaxies, QSOs and stars