On the dwarf irregular galaxy NGC 6822. I. Young, intermediate and old stellar populations
Maria Tantalo, Massimo Dall'Ora, Giuseppe Bono, Peter B. Stetson,, Michele Fabrizio, Ivan Ferraro, Mario Nonino, Vittorio F. Braga, Ronaldo da, Silva, Giuliana Fiorentino, Giacinto Iannicola, Massimo Marengo, Matteo, Monelli, Joseph P. Mullen, Adriano Pietrinferni

TL;DR
This study provides a comprehensive analysis of NGC 6822's stellar populations using deep multi-band photometry, revealing their spatial distributions, developing new star classification methods, and estimating the galaxy's metallicity.
Contribution
It introduces a new approach to identify stellar populations and accurately determine the galaxy center, along with detailed spatial distribution analysis and metallicity estimation.
Findings
Old stars are spherically distributed and extend beyond previous estimates.
Young stars form a bar and disk-like structure offset from the old population.
The estimated metallicity is [Fe/H] ≈ -1.25, consistent with previous studies.
Abstract
We present accurate and deep multi-band () photometry of the Local Group dwarf irregular galaxy NGC 6822. The images were collected with wide field cameras at 2m/4m- (INT,CTIO,CFHT) and 8m-class telescopes (SUBARU) covering a 2 square degrees FoV across the center of the galaxy. We performed PSF photometry of 7,000 CCD images and the final catalog includes more than 1 million objects. We developed a new approach to identify candidate field and galaxy stars, and performed a new estimate of the galaxy center by using old stellar tracers finding that it differs by 1.15 (RA) and 1.53 (DEC) arcmin from previous estimates. We also found that young (Main Sequence, Red Supergiants), intermediate (Red Clump, Asymptotic Giant Branch [AGB]) and old (Red Giant Branch [RGB]) stars display different radial distributions. Old stellar population is spherically distributed and extends to…
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.
