activity
20142026
most cited4MOST: Project overview and information for the First Call for Proposals

311 citations · 3.3k across the 56 of their papers we have counts for

collaborators
Showing 2023Show all

9 papers · 1 filter

astro-ph.GA2023

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…

astro-ph.SR2023

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…

astro-ph.IM2023★ 10 cited

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…

astro-ph.SR2023★ 13 cited

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…

astro-ph.GA2023★ 2 cited

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…

astro-ph.GA2023★ 57 cited

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…

astro-ph.SR2023★ 76 cited

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…

astro-ph.SR2023★ 50 cited

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…

astro-ph.GA2023★ 282 cited

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…