The dwarf low surface brightness population in different environments of the Local Universe
S. Sabatini (1), J.I. Davies (2), S. Roberts (2), R. Scaramella (1), ((1) INAF-Osservatorio Astronomico di Roma, IT; (2) School of Physics and, Astronomy, Cardiff University, UK)

TL;DR
This study compares the distribution and properties of dwarf low surface brightness galaxies across different environments in the Local Universe, revealing environmental influences on their characteristics and evolution.
Contribution
It provides a comparative analysis of dwarf low surface brightness galaxies in various environments using uniform datasets, expanding understanding of their distribution and physical properties.
Findings
Dwarf galaxies are more prevalent in certain environments.
Environmental factors influence dwarf galaxy properties.
Distribution patterns vary across different cluster regions.
Abstract
The nature of the dwarf galaxy population as a function of location in the cluster and within different environments is investigated. We have previously described the results of a search for low surface brightness objects in data drawn from an East-West strip of the Virgo cluster (Sabatini et al., 2003) and have compared this to a large area strip outside of the cluster (Roberts et al., 2004). In this talk I compare the East-West data (sampling sub-cluster A and outward) to new data along a North-South cluster strip that samples a different region (part of sub-cluster A, and the N,M clouds) and with data obtained for the Ursa Major cluster and fields around the spiral galaxy M101. The sample of dwarf galaxies in different environments is obtained from uniform datasets that reach central surface brightness values of ~26 B mag/arcsec^2 and an apparent B magnitude of 21 (M_B=-10 for a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
