activity
20242026
most citedImpact of selection criteria on the structural parameters of the Galactic thin and thick discs

3 citations · 3 across the 4 of their papers we have counts for

collaborators

10 papers

astro-ph.IM2026

HRMOS: a very high-resolution, multi-object spectrograph for the ESO VLT

Andrea Bianco, Sofia Randich, Emma Fernandez Alvar +7

HRMOS (High-Resolution Multi-Object Spectrograph) is a proposed new instrument for the ESO Very Large Telescope (VLT) developed in the context of the ESO VLT Beyond 2030 call. It i…

astro-ph.IM2026

HRMOS: A High-Resolution Multi-Object Spectrograph for the VLT

Laura Magrini, Thomas Bensby, Sofia Randich +174

This White Paper presents the scientific rationale and instrument concept for HRMOS (High-Resolution Multi-Object Spectrograph), a next-generation instrument proposed for the ESO V…

astro-ph.GA2026

Exploring the Milky Way stellar disk. Carbon, nitrogen, oxygen, sulphur, potassium, and copper abundances for 714 F and G dwarf stars in the solar neighbourhood

Thomas Bensby

[ABRIDGED] We aim to determine abundances of carbon, nitrogen, sulphur, potassium, and copper for 714 nearby F and G dwarf and subgiant stars, and to re-derive oxygen abundances us…

astro-ph.GA20263 cited

Impact of selection criteria on the structural parameters of the Galactic thin and thick discs

Simon Alinder, Thomas Bensby, Paul McMillan

Context: The Milky Way contains a thick and a thin disc that differ in chemical, kinematic, structural, and spatial properties. There is significant overlap in the distributions of…

astro-ph.GA2026

Dawn of the Milky Way disk: Determination of when a rotationally supported disk appears and dating the spin-up of the disk

Sofia Feltzing, Diane Feuillet, Thomas Bensby

Spiral galaxies, like the Milky Way, transform at some point in time into a rotationally supported system. Using an extant data-set consisting of 319 835 sub-giants from LAMOST wit…

astro-ph.SR2026

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…