Unveiling the environment and faint features of the isolated galaxy CIG 96 with deep optical and HI observations
P. Ramirez-Moreta, L. Verdes-Montenegro, J. Blasco-Herrera, S. Leon,, A. Venhola, M. Yun, V. Peris, R. Peletier, G. Verdoes Kleijn, E., Unda-Sanzana, D. Espada, A. Bosma, E. Athanassoula, M. Argudo-Fernandez, J., Sabater, J. C. Munoz-Mateos, M. G. Jones, W. Huchtmeier, J.E. Ruiz

TL;DR
This study uses deep optical and HI observations to explore the environment, gas features, and star-forming regions of the isolated galaxy CIG 96, revealing extended HI, new gaseous structures, and insights into its pseudoring's origin.
Contribution
It provides the first detailed deep optical and HI analysis of CIG 96, uncovering faint gaseous structures and confirming its isolation, which informs understanding of secular galaxy evolution.
Findings
HI extends beyond 4 times the optical radius
Detected two new gaseous structures in the outskirts
No stellar or gaseous links with other galaxies found
Abstract
Asymmetries in HI in galaxies are often caused by the interaction with close companions, making isolated galaxies an ideal framework to study secular evolution. The AMIGA project has demonstrated that isolated galaxies show the lowest level of asymmetry in their HI integrated profiles, yet some present significant asymmetries. CIG 96 (NGC 864) is a representative case reaching a 16% level. Our aim is to investigate the HI asymmetries of this spiral galaxy and what processes have triggered the star-forming regions observed in the XUV pseudoring. We performed deep optical observations at CAHA 1.23m, 2.2m and VST telescopes. We reach surface brightness (SB) limits of mu_2.2m = 27.5 mag arcsec-2 (Cous R) and mu_VST = 28.7mag arcsec-2 (r) that show the XUV pseudoring of the galaxy in detail. Additionally, a wavelet filtering of the HI data cube from our deep observations with E/VLA telescope…
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.
