A $K_s$-band selected catalogue of objects in the ALHAMBRA survey
L. Nieves-Seoane, A. Fernandez-Soto, P. Arnalte-Mur, A. Molino, M., Stefanon, I. Ferreras, B. Ascaso, F.J. Ballesteros, D. Crist\'obal-Hornillos,, C. L\'opez-Sanju\'an, Ll. Hurtado-Gil, I. M\'arquez, J. Masegosa, J.A.L., Aguerri, E. Alfaro, T. Aparicio-Villegas, N. Ben\'itez

TL;DR
This paper presents a new $K_s$-band selected catalogue for the ALHAMBRA survey, reducing bias against red, high-redshift galaxies and expanding the sample of distant, massive galaxies.
Contribution
The study introduces a $K_s$-band selection for the ALHAMBRA catalogue, enabling deeper redshift coverage and better representation of red, high-redshift galaxies compared to previous $I$-band selection.
Findings
Catalogue includes approximately 95,000 sources down to $K_s \\approx 22$.
Significant population of galaxies at redshift $z > 1$, up to $z \\approx 2.5$.
Sample suitable for studying massive, passively evolving galaxies at high redshift.
Abstract
The original ALHAMBRA catalogue contained over 400,000 galaxies selected using a synthetic F814W image, to the magnitude limit AB(F814W)24.5. Given the photometric redshift depth of the ALHAMBRA multiband data (<z>=0.86) and the approximately -band selection, there is a noticeable bias against red objects at moderate redshift. We avoid this bias by creating a new catalogue selected in the band. This newly obtained catalogue is certainly shallower in terms of apparent magnitude, but deeper in terms of redshift, with a significant population of red objects at . We select objects using the band images, which reach an approximate AB magnitude limit . We generate masks and derive completeness functions to characterize the sample. We have tested the quality of the photometry and photometric redshifts using both internal and external checks. Our…
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.
