A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä

Ultra diffuse galaxies in the Hydra I cluster from the LEWISProject: Phase-Space distribution and globular cluster richness




TekijätForbes Duncan A, Gannon Jonah, Iodice Enrichetta, Hilker Michael, Doll Goran, Buttitta Chiara, Marca Antonio La, Arnaboldi Magda, Cantiello Michele, D’Ago G, Falcon Barroso Jesus, Greggio Laura, Gullieuszik Marco, Hartke Johanna, Mieske Steffen, Mirabile Marco, Rampazzo Roberto, Rejkuba Marina, Spavone Marilena, Spiniello Chiara, Capasso Giulio

KustantajaOxford University Press

Julkaisuvuosi2023

JournalMonthly Notices of the Royal Astronomical Society: Letters

Vuosikerta525

Numero1

AloitussivuL93

LopetussivuL97

eISSN1745-3933

DOIhttps://doi.org/10.1093/mnrasl/slad101

Verkko-osoitehttps://academic.oup.com/mnrasl/article/525/1/L93/7229554

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/180372085


Tiivistelmä

Although ultra diffuse galaxies (UDGs) are found in large numbers in clusters of galaxies, the role of the cluster environment in shaping their low surface brightness and large sizes is still uncertain. Here, we examine a sample of UDGs in the Hydra I cluster (D = 51 Mpc) with new radial velocities obtained as part of the LEWIS (Looking into the faintest with MUSE) project using VLT/MUSE data. Using a phase-space, or infall diagnostic, diagram we compare the UDGs to other known galaxies in the Hydra I cluster and to UDGs in other clusters. The UDGs, along with the bulk of regular Hydra I galaxies, have low relative velocities and are located near the cluster core, and thus consistent with very early infall into the cluster. Combining with literature data, we do not find the expected trend of GC-rich UDGs associated with earlier infall times. This result suggests that quenching mechanisms other than cluster infall should be further considered, e.g. quenching by strong feedback or in cosmic sheets and filaments. Tidal stripping of GCs in the cluster environment also warrants further modelling.


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