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COSMOS2015 dataset machine learning photo-z
In order to answer the open questions of modern cosmology and galaxy evolution theory, robust algorithms for calculating photometric redshifts (photo-z) for very large samples... -
Abundances of metal-poor stars from SkyMapper
We present chemical abundances for 21 elements (from Li to Eu) in 150 metal-poor Galactic stars spanning -4.1<[Fe/H]<-2.1. The targets were selected from the SkyMapper... -
HR-PYPOPSTAR model
We present the HR-PYPOPSTAR model, which provides a complete set (in ages) of high-resolution (HR) spectral energy distributions of Single Stellar Populations. The model uses... -
Model spectra for identifying age spreads
In this third paper of a series on the precision of obtaining ages of stellar populations using the full spectrum fitting technique, we examine the precision of this technique... -
The extended MILES library
Extragalactic astronomy and stellar astrophysics are intrinsically related. In fact, the determination of important galaxy properties such as stellar masses, star formation... -
Asteroseismic modelling of solar-type stars
Detailed understanding of stellar physics is essential towards a robust determination of stellar properties (e.g. radius, mass, and age). Among the vital input physics used in... -
Theoretical scenario for RR Lyrae in Gaia
On the basis of an extended set of non-linear convective RR Lyrae pulsation models we derive the first theoretical light curves in the Gaia bands G, G_BP_, and G_RP_ and the... -
Stellar and planetary parameters from TEPCAT
We present a publicly available library of model atmospheres with radiative-convective equilibrium pressure-temperature (P-T) profiles fully consistent with equilibrium chemical... -
The death throes of the Hyades with Gaia
The precision of the Gaia data offers a unique opportunity to study the internal velocity field of star clusters. We develop and validate a forward-modelling method for the... -
Luminosities of 34 slowly pulsating B stars
We provide three statistical model prescriptions for the bolometric corrections appropriate for B-type stars as a function of (i) T_eff_, (ii) T_eff_ and logg, and (iii) T_eff_,... -
Stellar populations in LAEs and LBGs
Lyman alpha emitters (LAEs) and Lyman break galaxies (LBGs) represent the most common groups of star-forming galaxies at high z, and the differences between their inherent... -
Stellar parameters from GALANTE
In this paper, we analyse how to extract the physical properties from the GALANTE photometry of a stellar sample. We propose a direct comparison between the observational... -
The synthetic Emission Line COSMOS catalogue
Star-forming galaxies with strong nebular and collisional emission lines are privileged target galaxies in forthcoming cosmological large galaxy redshift surveys. We use the... -
Large-scale star formation in Auriga region
New observations in the VI bands along with archival data from the 2MASS and WISE surveys have been used to generate a catalogue of young stellar objects (YSOs) covering an area... -
Evidenced reduced magnetic braking in polars
We present the first population synthesis of synchronous magnetic cataclysmic variables, called polars, taking into account the effect of the white dwarf (WD) magnetic field on... -
Modelled parameters of Cepheid and RR Lyrae
The period of pulsation and the structure of the light curve for Cepheid and RR Lyrae variables depend on the fundamental parameters of the star: mass, radius, luminosity, and... -
Neural networks for spectral classification
Due to the ever-expanding volume of observed spectroscopic data from surveys such as SDSS and LAMOST, it has become important to apply artificial intelligence (AI) techniques... -
Applying Chronostar to {beta} Pictoris group
Gaia DR2 provides an unprecedented sample of stars with full 6D phase-space measurements, creating the need for a self-consistent means of discovering and characterizing the... -
Open Supernova Catalog anomaly detection
In the upcoming decade, large astronomical surveys will discover millions of transients raising unprecedented data challenges in the process. Only the use of the machine... -
Nearby young moving groups with machine learning
Nearby young stellar moving groups have been identified by many research groups with different methods and criteria, giving rise to caution regarding the reality of some groups....