The Fornax Deep Survey (FDS) with the VST: IV. A size and magnitude limited catalog of dwarf galaxies in the area of the Fornax cluster
Aku Venhola, Reynier Peletier, Eija Laurikainen, Heikki Salo,, Enrichetta Iodice, Steffen Mieske, Michael Hilker, Carolin Wittmann, Thorsten, Lisker, Maurizio Paolillo, Michele Cantiello, Joachim Janz, Marilena Spavone,, Raffaele D'Abrusco, Glenn van de Ven, Nicola Napolitano

TL;DR
This paper presents a comprehensive catalog of dwarf galaxies in the Fornax cluster, created from deep imaging data, with detailed methods for detection, classification, and assessment of cluster membership, significantly extending previous surveys.
Contribution
The study introduces a new, deep dwarf galaxy catalog for the Fornax cluster using advanced detection and classification techniques, surpassing previous surveys in depth and completeness.
Findings
Catalog includes 14,095 galaxies, with 590 likely cluster members.
The catalog reaches a magnitude limit of M_{r'} = -10.5 mag, three magnitudes deeper than previous data.
Estimated contamination from background objects is less than 10%.
Abstract
The Fornax Deep Survey (FDS), an imaging survey in the u', g', r', and i'-bands, has a supreme resolution and image depth compared to the previous spatially complete Fornax Cluster Catalog (FCC). Our new data allows us to study the galaxies down to r'-band magnitude m21 mag (M-10.5 mag). These data provide an important legacy dataset to study the Fornax cluster. We aim to present the Fornax Deep Survey (FDS) dwarf galaxy catalog, focusing on explaining the data reduction and calibrations, assessing the quality of the data, and describing the methods used for defining the cluster memberships for the catalog objects. As a first step we used the SExtractor fine-tuned for dwarf galaxy detection, to find galaxies from the FDS data, covering a 26 deg area of the main cluster, and the area around the Fornax A substructure. We made 2D-decompositions of the…
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.
Taxonomy
TopicsVideo Surveillance and Tracking Methods · Remote Sensing in Agriculture · Remote-Sensing Image Classification
