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Looking into the faintEst WIth MUSE (LEWIS): Exploring the nature of ultra-diffuse galaxies in the Hydra-I cluster. II. Stellar kinematics and dynamical masses




TekijätButtitta, Chiara; Iodice, Enrichetta; Doll, Goran; Hartke, Johanna; Hilker, Michael; Forbes, Duncan A.; Corsini, Enrico M.; Rossi, Luca; Arnaboldi, Magda; Cantiello, Michele; D'Ago, Giuseppe; Falcon-Barroso, Jesus; Gullieuszik, Marco; La Marca, Antonio; Mieske, Steffen; Mirabile, Marco; Paolillo, Maurizio; Rejkuba, Marina; Spavone, Marilena; Spiniello, Chiara; Sarzi, Marc

KustantajaEDP Sciences

KustannuspaikkaLES ULIS CEDEX A

Julkaisuvuosi2025

JournalAstronomy and Astrophysics

Tietokannassa oleva lehden nimiAstronomy & Astrophysics

Lehden akronyymiASTRON ASTROPHYS

Artikkelin numeroA276

Vuosikerta694

Sivujen määrä16

ISSN0004-6361

eISSN1432-0746

DOIhttps://doi.org/10.1051/0004-6361/202452915

Verkko-osoitehttps://doi.org/10.1051/0004-6361/202452915

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/491324071


Tiivistelmä

Context.

This paper focuses on a class of galaxies characterised by an extremely low surface brightness: ultra-diffuse galaxies (UDGs). We used new integral-field (IF) spectroscopic data, obtained with the ESO Large Programme Looking into the faintEst WIth MUSE (LEWIS). It provides the first homogeneous IF spectroscopic survey performed by MUSE at the Very Large Telescope of a complete sample of UDGs and low-surface-brightness galaxies within a virial radius of 0.4 in the Hydra I cluster, according to the UDG abundance-halo mass relation.

Aims.

Our main goals are addressing the possible formation channels for this class of objects and investigating possible correlations of their observational properties, including the stacked (1D) and spatially resolved (2D) stellar kinematics. In particular, we derive the stellar velocity dispersion from the stacked spectrum integrated within the effective radius (sigma(eff)) and measure the velocity map of the galaxies in LEWIS. These quantities are used to estimate their dynamical mass (M-dyn).

Methods.

We extracted the 1D stacked spectrum inside the effective radius (R-eff), which guarantees a high signal-to-noise ratio, to obtain an unbiased measure of sigma(eff). To derive the spatially resolved stellar kinematics, we first applied the Voronoi tessellation algorithm to bin the spaxels in the datacube, and then we derived the stellar kinematics in each bin, following the same prescription as adopted for the 1D case. We extracted the velocity profiles along the galaxy major and minor axes and measured the semi-amplitude (Delta V) of the velocity curve.

Results.

We found that 7 out of 18 UDGs in LEWIS show a mild rotation (Delta V similar to 25 - 40 km s(-1)), 5 lack evidence of any rotation, and the remaining 6 UDGs are unconstrained cases. This is the first large census of velocity profiles for UDGs. The UDGs in LEWIS are characterised by low values of sigma(eff) (<= 30 km s(-1)) on average, which is comparable with available values from the literature. Two objects show higher values of sigma eff (similar to 30 - 40 km s(-1)). These higher values might reasonably be due to the fast rotation observed in these galaxies, which affects the values of sigma eff. In the Faber-Jackson relation plane, we found a group of UDGs consistent with the relation within the error bars. Outliers of the Faber-Jackson relation are objects with a non-negligible rotation component. The UDGs and LSB galaxies in the LEWIS sample have a larger dark matter (DM) content on average than dwarf galaxies (M-dyn/L-V,L- eff similar to 10 - 100 M-circle dot/L-circle dot) with a similar total luminosity. We do not find clear correlations between the derived structural properties and the local environment.

Conclusions.

By mapping the stellar kinematics for a homogenous sample of UDGs in a cluster environment, we found a significant rotation for many galaxies. Therefore, two classes of UDGs are found in the Hydra I cluster based on the stellar kinematics: rotating and non-rotating systems. This result, combined with the DM content and the upcoming analysis of the star formation history and globular cluster population, can help us to distinguish between the several formation scenarios proposed for UDGs.


Ladattava julkaisu

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Julkaisussa olevat rahoitustiedot
E.I. acknowledges support by the INAF GO funding grant 2022-2023. E.I., E.M.C. and M.P. acknowledge the support by the Italian Ministry for Education University and Research (MIUR) grant PRIN 2022 2022383WFT “SUNRISE”, CUP C53D23000850006. J.H. and E.I. acknowledge the financial support from the visitor and mobility programme of the Finnish Centre for Astronomy with ESO (FINCA), funded by the Academy of Finland grant nr 306531. J.H. wishes to acknowledge CSC-IT Center for Science, Finland, for computational resources. E.M.C. acknowledges the support from MIUR grant PRIN 2017 20173ML3WW-001 and Padua University grants DOR 2021-2023. G.D. acknowledges support by UKRI-STFC grants: ST/T003081/1 and ST/X001857/1. D.F. thanks the ARC for support via DP220101863 and DP200102574. J.F-B. acknowledges support from the PID2022-140869NB-I00 grant from the Spanish Ministry of Science and Innovation. This work is based on the funding from the INAF through the GO large grant in 2022, to support the LEWIS data reduction and analysis (PI E. Iodice).


Last updated on 2025-08-04 at 13:33