MINCE: III. Detailed chemical analysis of the UVES sample

Abstract

Indexación: Scopus.Context. The Measuring at Intermediate Metallicity Neutron-Capture Elements (MINCE) project aims to provide high-quality neutron-capture abundances measurements for several hundred stars at an intermediate metallicity of -2.5 < [Fe/H] < -1.5. This project will shed light on the origin of the neutron-capture elements and the chemical enrichment of the Milky Way. Aims. The goal of this work is to chemically characterize the second sample of the MINCE project and compare the abundances with the galactic chemical evolution model at our disposal. Methods. We performed a standard abundance analysis based on one-dimensional (1D) local thermodynamic equilibrium (LTE) model atmospheres based on high-resolution and high-signal-to-noise-ratio (S/N) spectra from Ultraviolet and Visual Echelle Spectrograph (UVES). Results. We provide the kinematic classification (i.e., thin disk, thick disk, thin-to-thick disk, halo, Gaia Sausage Enceladus, Sequoia) of 99 stars and the atmospheric parameters for almost all stars. We derived the abundances for light elements (from Na to Zn) and neutron-capture elements (Rb, Sr, Y, Zr, Ba, La, Ce, Pr, Nd, Sm, and Eu) for a subsample of 32 stars in the metallicity range of -2.5 < [Fe/H] < -1.00. In the subsample of 32 stars, we identified eight active stars exhibiting (inverse) P-Cygni profile and one Li-rich star, CD 28-11039. We find a general agreement between the chemical abundances and the stochastic model computed for the chemical evolution of the Milky Way halo for elements Mg, Ca, Si, Ti, Sc, Mn, Co, Ni, Zn, Rb, Sr, Y, Zr, Ba, La, and Eu. Conclusions. The MINCE project has already significantly increased the number of neutron-capture elements measurements in the intermediate metallicity range. The results from this sample are in perfect agreement with the previous MINCE sample. The good agreement between the chemical abundances and the chemical evolution model of the Galaxy supports the nucleosynthetic processes adopted to describe the origin of the n-capture elements. © The Authors 2025.https://www.aanda.org/articles/aa/full_html/2025/03/aa52964-24/aa52964-24.htmlFunding text 1 Support for the author F.L. is provided by CONICYT- 118 PFCHA/Doctorado Nacional a\u00F1o 2020-folio 21200677. We gratefully acknowledge support from the French National Research Agency (ANR) funded project \"Pristine\" (ANR-18-CE31-0017). PB acknowledges support from the ERC advanced grant No. 835087 - SPIAKID. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www. cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/ consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This work was also partially supported by the European Union (ChETEC-INFRA, project no. 101008324) This research has used the SIMBAD database, operated at CDS, Strasbourg, France. This publication makes use of VOSA, developed under the Spanish Virtual Observatory (https://svo. cab.inta-csic.es) project funded by MCIN/AEI/10.13039/501100011033/ through grant PID2020-112949GB-I00. VOSA has been partially updated by using funding from the European Union's Horizon 2020 Research and Innovation Programme, under Grant Agreement no. 776403 (EXOPLANETS-A). GC acknowledges the grant PRIN project No. 2022X4TM3H 'Cosmic POT' from Ministero dell'Universit\u00E0 e della Ricerca (MUR). A.M. acknowledges support from the project \"LEGO-Reconstructing the building blocks of the Galaxy by chemical tagging\" (PI: A. Mucciarelli), granted by the Italian MUR through contract PRIN 2022LLP8TK-001.Funding text 2 Support for the author F.L. is provided by CONICYT- 118 PFCHA/Doctorado Nacional a\u00F1o 2020-folio 21200677. We gratefully acknowledge support from the French National Research Agency (ANR) funded project \u201CPristine\u201D (ANR-18-CE31-0017). PB acknowledges support from the ERC advanced grant No. 835087 \u2013 SPIAKID. This work has made use of data from the European Space Agency (ESA) mission Gaia ( https://www.cosmos.esa.int/gaia ), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium ). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This work was also partially supported by the European Union (ChETEC-INFRA, project no. 101008324) This research has used the SIM-BAD database, operated at CDS, Strasbourg, France. This publication makes use of VOSA, developed under the Spanish Virtual Observatory ( https://svo.cab.inta-csic.es ) project funded by MCIN/AEI/10.13039/501100011033/ through grant PID2020-112949GB-I00. VOSA has been partially updated by using funding from the European Union\u2019s Horizon 2020 Research and Innovation Programme, under Grant Agreement no. 776403 (EXOPLANETS-A). GC acknowledges the grant PRIN project No. 2022X4TM3H \u2018Cosmic POT\u2019 from Ministero dell\u2019Universit\u00E0 e della Ricerca (MUR). A.M. acknowledges support from the project \u201CLEGO\u2013 Reconstructing the building blocks of the Galaxy by chemical tagging\u201D (PI: A. Mucciarelli), granted by the Italian MUR through contract PRIN 2022LLP8TK_001.S