collaborators

9 papers

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…

astro-ph.SR2026

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…

astro-ph.GA2025

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…

astro-ph.SR2025

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…

astro-ph.SR2025

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)…

astro-ph.SR2025

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…