Chasing passive galaxies in the early Universe: a critical analysis in CANDELS GOODS-South
E. Merlin, A. Fontana, M. Castellano, P. Santini, M. Torelli, K., Boutsia, T. Wang, A. Grazian, L. Pentericci, C. Schreiber, L. Ciesla, R., McLure, S. Derriere, J. S. Dunlop, and D. Elbaz

TL;DR
This study searches for passive galaxies at redshifts greater than 3 in the GOODS-South field using photometric data and spectral energy distribution fitting, highlighting the challenges and uncertainties in identifying such galaxies with current data.
Contribution
It develops and applies methods to identify passive galaxies at high redshift, analyzing the impact of different modeling assumptions and demonstrating JWST's potential for improved classification.
Findings
Number of candidates varies with modeling assumptions.
Most candidates are not far-infrared emitters.
Selection uncertainties are significant with current data.
Abstract
We search for passive galaxies at in the GOODS-South field, using different techniques based on photometric data, and paying attention to develop methods that are sensitive to objects that have become passive shortly before the epoch of observation. We use CANDELS HST catalogues, ultra-deep data and new IRAC photometry, performing spectral energy distribution fitting using models with abruptly quenched star formation histories. We then single out galaxies which are best fitted by a passively evolving model, and having only low probability star-forming solutions. We verify the effects of including nebular lines emission, and we consider possible solutions at different redshifts. The number of selected sources dramatically depends on the models used in the SED fitting. Without including emission lines and with photometric redshifts fixed at the CANDELS estimate, we…
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.
