The NIKA2 cosmological legacy survey at 2 mm: catalogs, colors, redshift distributions, and implications for deep surveys
M. B\'ethermin, G. Lagache, C. Carvajal-Bohorquez, R. Adam, P. Ade, H. Ajeddig, S. Amarantidis, P. Andr\'e, H. Aussel, A. Beelen, A. Beno\^it, S. Berta, L.J. Bing, A. Bongiovanni, J. Bounmy, O. Bourrion, M. Calvo, A. Catalano, D. Ch\'erouvrier, M. De Petris, F.-X. D\'esert

TL;DR
This study analyzes 2mm galaxy survey data from N2CLS, comparing observations with simulations to understand the properties and redshift distributions of high-redshift dusty galaxies, and evaluates survey efficiencies.
Contribution
It provides the first detailed statistical analysis of 2mm-selected galaxies using N2CLS data combined with SIDES simulations, highlighting redshift distributions and selection limitations.
Findings
Mean redshift of 3.6 in GOODS-N, slightly higher than SIDES predictions.
Observed colors show weak redshift dependence with large dispersion.
No evidence found for exotic 2mm-only galaxy populations.
Abstract
Millimeter galaxy surveys are particularly effective in detecting dusty star-forming galaxies at high redshift. While such observations are typically conducted at ~1mm, some studies suggest that 2mm may be better suited for selecting sources at even higher redshifts. We use the unprecedented 2mm data from the N2CLS, together with the SIDES simulation, to study and interpret the statistical properties of 2mm-selected galaxies. We use the N2CLS robust sample at 2mm, which contains 25 sources in the deep GOODS-N field and 90 sources in the wide COSMOS. The sources are matched with the N2CLS 1.2mm sources, the ancillary 850um sources, and redshift catalogs to study the colors and redshift distributions. We also produce end-to-end simulations based on SIDES and the observed N2CLS detector timelines to interpret the data. We find a mean S2/S1.2 color of 0.2220.008 with a standard…
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.
