311 citations · 3.3k across the 56 of their papers we have counts for
59 papers
Barium and europium abundances from the Gaia-ESO Survey using The Cannon
Pradosh Barun Das, Francesca Primas, Gayandhi De Silva +3
Neutron-capture element abundances encode the time-dependent interplay between slow (s-) and rapid (r-) nucleosynthetic processes and provide critical constraints on Galactic chemi…
A method to derive self-consistent NLTE astrophysical parameters for 4 million high-resolution 4MOST stellar spectra in half a day with invertible neural networks
Victor F. Ksoll, Nicholas Storm, Maria Bergemann +5
Modern spectroscopic surveys obtain spectra for millions of stars. However, classical spectroscopic methods can often be computationally expensive, rendering them impractical for t…
Observational constraints on the origin of the elements. X. Combining NLTE and machine learning for chemical diagnostics of 4 million stars in the 4MIDABLE-HR survey
Nicholas Storm, Maria Bergemann, Tomasz Różański +9
We present the 4MOST-HR resolution Non-Local Thermal Equilibrium (NLTE) Payne artificial neural network (ANN), trained on new FGK spectra with 16 elements computed in NL…
SDSS-V Milky Way Mapper (MWM): ASPCAP Stellar Parameters and Abundances in SDSS-V Data Release 19
Szabolcs Mészáros, Paula Jofré, Jennifer A. Johnson +25
The goal of this paper is to describe the science verification of Milky Way Mapper (MWM) APOGEE Stellar Parameter and Chemical Abundances Pipeline (ASPCAP) data products published…
Survey of Surveys. II. Stellar parameters for 23 millions of stars
A. Turchi, E. Pancino, A. Avdeeva +16
In the current panorama of large surveys, the vast amount of data obtained with different methods, data types, formats, and stellar samples, is making an efficient use of the avail…
The Spheroidal Bulge of the Milky Way: Chemodynamically Distinct from the Inner-Thick Disc and Bar
Samir Nepal, Cristina Chiappini, Angeles Pérez-Villegas +7
Studying the composition and origin of the inner region of our Galaxy -- the "Galactic bulge" -- is crucial for understanding the formation and evolution of the Milky Way and other…
Probing the origins. II. Unravelling lithium depletion and stellar motion: Intrinsic stellar properties drive depletion, not kinematics
M. L. L. Dantas, R. Smiljanic, D. Romano +4
In Paper I, we classified a stellar sample from the thin disc with a broad range in metallicity as being churned outward or inward, or blurred/undisturbed. In this paper (Paper II)…
Realising the potential of large spectroscopic surveys with machine-learning
G. Guiglion
Machine-learning is playing an increasing role in helping the astronomical community to face data analysis challenges, in particular in the field of Galactic Archaeology and large…
The interplay between super-metallicity, lithium depletion, and radial migration in nearby stars
M. L. L. Dantas, R. Smiljanic, R. Boesso +4
We report the discovery of a peculiar set of old super-metal-rich dwarf stars with orbits of low eccentricity that reach a maximum height from the Galactic plane between 0.5…
Transferring spectroscopic stellar labels to 217 million Gaia DR3 XP stars with SHBoost
A. Khalatyan, F. Anders, C. Chiappini +14
In this paper, we explore the feasibility of using machine learning regression as a method of extracting basic stellar parameters and line-of-sight extinctions from spectro-photome…
The Gaia-ESO Survey: The DR5 analysis of the medium-resolution GIRAFFE and high-resolution UVES spectra of FGK-type stars
C. C. Worley, R. Smiljanic, L. Magrini +42
The Gaia-ESO Survey is an European Southern Observatory (ESO) public spectroscopic survey that targeted stars in the Milky Way covering the major populations of the disk, bu…
Discovery of the local counterpart of disc galaxies at z > 4: The oldest thin disc of the Milky Way using Gaia-RVS
Samir Nepal, Cristina Chiappini, Anna B. A. Queiroz +5
JWST has recently detected numerous disc galaxies at high-redshifts and there have been observations of cold disc galaxies at z > 4 with ALMA. In the Milky Way, recent studies find…
Insights from Super-Metal-Rich Stars: Is the Milky Way bar young?
Samir Nepal, Cristina Chiappini, Guillaume Guiglion +6
Super-metal-rich (SMR) stars, currently in the solar neighbourhood, are expected to originate only in the inner Galaxy and have definitely migrated. We aim at studying a large samp…
Observational constraints on the origin of the elements. VIII. Constraining the Barium, Strontium and Yttrium chemical evolution in metal-poor stars
G. Guiglion, M. Bergemann, N. Storm +3
Recently Lian et al. (2023), thanks to Gaia-ESO data, studied the chemical evolution of neutron-capture elements in the regime [Fe/H]>-1. We aim here to complement this study down…
Galaxy Spectra neural Network (GaSNet). II. Using Deep Learning for Spectral Classification and Redshift Predictions
Fucheng Zhong, Nicola R. Napolitano, Caroline Heneka +25
Large sky spectroscopic surveys have reached the scale of photometric surveys in terms of sample sizes and data complexity. These huge datasets require efficient, accurate, and fle…
Observational constraints on the origin of the elements. VI. Origin and evolution of neutron-capture elements as probed by the Gaia-ESO survey
Jianhui Lian, Nicholas Storm, Guillaume Guiglion +5
Most heavy elements beyond the iron peak are synthesized via neutron capture processes. The nature of the astrophysical sites of neutron capture processes is still very unclear. In…
Beyond Gaia DR3: Tracing the [/M]-[M/H] bimodality from the inner to the outer Milky Way disc with Gaia-RVS and convolutional neural networks
G. Guiglion, S. Nepal, C. Chiappini +17
In June 2022, Gaia DR3 has provided the astronomy community with about one million spectra from the Radial Velocity Spectrometer (RVS) covering the CaII triplet region. However, on…
Unveiling the time evolution of chemical abundances across the Milky Way disk with APOGEE
Bridget Ratcliffe, Ivan Minchev, Friedrich Anders +12
Chemical abundances are an essential tool in untangling the Milky Way's enrichment history. However, the evolution of the interstellar medium abundance gradient with cosmic time is…
The Gaia-ESO Survey: Empirical estimates of stellar ages from lithium equivalent widths (EAGLES)
R. D. Jeffries, R. J. Jackson, Nicholas J. Wright +17
We present an empirical model of age-dependent photospheric lithium depletion, calibrated using a large, homogeneously-analysed sample of 6200 stars in 52 open clusters, with ages…
The Gaia-ESO Survey: homogenisation of stellar parameters and elemental abundances
A. Hourihane, P. Francois, C. C. Worley +59
The Gaia-ESO Survey is a public spectroscopic survey that has targeted stars covering all major components of the Milky Way from the end of 2011 to 2018, delivering i…
The Eighteenth Data Release of the Sloan Digital Sky Surveys: Targeting and First Spectra from SDSS-V
Andrés Almeida, Scott F. Anderson, Maria Argudo-Fernández +151
The eighteenth data release of the Sloan Digital Sky Surveys (SDSS) is the first one for SDSS-V, the fifth generation of the survey. SDSS-V comprises three primary scientific progr…
The Gaia-ESO Survey: Probing the lithium abundances in old metal-rich dwarf stars in the Solar vicinity
M. L. L. Dantas, G. Guiglion, R. Smiljanic +14
We test a scenario in which radial migration could affect the Li abundance pattern of dwarf stars in the solar neighbourhood. This may confirm that the Li abundance in these stars…
The Gaia-ESO Survey: Old super-metal-rich visitors from the inner Galaxy
M. L. L. Dantas, R. Smiljanic, R. Boesso +12
We report the identification of a set of old super metal-rich dwarf stars with orbits of low eccentricity that reach a maximum height from the Galactic plane between ~0.5-1.5 kpc.…
The Gaia-ESO Survey: Chemical evolution of Mg and Al in the Milky Way with Machine-Learning
M. Ambrosch, G. Guiglion, Š. Mikolaitis +14
We aim to prepare the machine-learning ground for the next generation of spectroscopic surveys, such as 4MOST and WEAVE. Our goal is to show that convolutional neural networks can…