Euclid: Early Release Observations of ram-pressure stripping in the Perseus cluster. Detection of parsec scale star formation with in the low surface brightness stripped tails of UGC 2665 and MCG +07-07-070
Koshy George (1), A. Boselli (2), J.-C. Cuillandre (3), M. K\"ummel (1), A. Lan\c{c}on (4), C. Bellhouse (5), T. Saifollahi (4), M. Mondelin (3), M. Bolzonella (6), P. Joseph (7, 8), I. D. Roberts (9), R. J. van Weeren (10), Q. Liu (10), E. Sola (11), M. Urbano (4), M. Baes (12)

TL;DR
Euclid's early observations of the Perseus cluster reveal ram-pressure stripping effects in spiral galaxies, showing star formation in low surface brightness tails and demonstrating Euclid's capability to study galaxy evolution in dense environments.
Contribution
This study showcases Euclid's ability to detect and analyze ram-pressure stripping and star formation in galaxy tails, providing new insights into galaxy transformation processes.
Findings
Detection of filamentary structures with star formation in galaxy tails.
Euclid's imaging matches radio and UV data, confirming recent star formation.
Features consistent with recent ram-pressure stripping events.
Abstract
Euclid is delivering optical and near-infrared imaging data over 14,000 deg on the sky at spatial resolution and surface brightness levels that can be used to understand the morphological transformation of galaxies within groups and clusters. Using the Early Release Observations (ERO) of the Perseus cluster, we demonstrate the capability offered by Euclid in studying the nature of perturbations for galaxies in clusters. Filamentary structures are observed along the discs of two spiral galaxies with no extended diffuse emission expected from tidal interactions at surface brightness levels of . The detected features exhibit a good correspondence in morphology between optical and near-infrared wavelengths, with a surface brightness of , and the knots within the features have sizes of 100 pc, as…
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.
