A catalogue of structural and morphological measurements for DES Y1
F. Tarsitano, W. G. Hartley, A. Amara, A. Bluck, C. Bruderer, M., Carollo, C. Conselice, P. Melchior, B. Moraes, A. Refregier, I., Sevilla-Noarbe, J. Woo, T. M. C. Abbott, S. Allam, J. Annis, S. Avila, M., Banerji, E. Bertin, D. Brooks, D. L. Burke, A. Carnero Rosell

TL;DR
This paper provides a comprehensive structural and morphological catalogue for 45 million galaxies from DES Y1, including parametric and non-parametric measurements, with bias corrections and high completeness for galaxies brighter than magnitude 21.
Contribution
It presents the largest galaxy structural catalogue to date, combining parametric and non-parametric measurements with bias correction methods for DES Y1 data.
Findings
High measurement accuracy for galaxies with MAG AUTO < 21
Completeness of ~90% for galaxies with MAG AUTO < 21.5
Catalogue will be publicly released for further research
Abstract
We present a structural and morphological catalogue for 45 million objects selected from the first year of data from the Dark Energy Survey (DES). Single Sersic fits and non-parametric measurements are produced for g, r and i filters. The parameters from the best-fitting Sersic model (total magnitude, half-light radius, Sersic index, axis ratio and position angle) are measured with Galfit; the non-parametric coefficients (concentration, asymmetry, clumpiness, Gini, M20) are provided using the Zurich Estimator of Structural Types (ZEST+). To study the statistical uncertainties, we consider a sample of state-of-the-art image simulations with a realistic distribution in the input parameter space and then process and analyse them as we do with real data: this enables us to quantify the observational biases due to PSF blurring and magnitude effects and correct the measurements as a function…
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.
