The ALHAMBRA Project: A large area multi medium-band optical and NIR photometric survey
M. Moles, N. Ben\'itez, J.A.L. Aguerri, E.J. Alfaro, T. Broadhurst, J., Cabrera-Ca\~no, F.J. Castander, J. Cepa, M. Cervi\~no, D., Crist\'obal-Hornillos, A. Fern\'andez-Soto, R.M. Gonz\'alez Delgado, L., Infante, I. M\'arquez, V.J. Mart\'inez, J. Masegosa, A. del Olmo, J. Perea,

TL;DR
The ALHAMBRA survey employs 20 medium-band optical filters and NIR bands over 4 square degrees to achieve accurate galaxy redshifts and study cosmic evolution, providing a valuable dataset for large-scale structure and galaxy evolution research.
Contribution
This paper introduces the ALHAMBRA survey's innovative multi-band photometric system and initial results demonstrating its depth, accuracy, and potential for cosmic tomography without additional follow-up.
Findings
Achieved magnitude limits of AB<~25 in optical filters.
Expected redshift accuracy of Delta z/(1+z) <~ 0.03 for 500,000 galaxies.
Confirmed survey's capability to study large-scale structure and galaxy evolution.
Abstract
(ABRIDGED) We describe the first results of the ALHAMBRA survey which provides cosmic tomography of the evolution of the contents of the Universe over most of Cosmic history. Our approach employs 20 contiguous, equal-width, medium-band filters covering from 3500 to 9700 A, plus the JHKs bands, to observe an area of 4 sqdeg on the sky. The optical photometric system has been designed to maximize the number of objects with accurate classification by SED and redshift, and to be sensitive to relatively faint emission lines. The observations are being carried out with the Calar Alto 3.5m telescope using the cameras LAICA and O-2000. The first data confirm that we are reaching the expected magnitude limits of AB<~25 mag in the optical filters from the blue to 8300 A, and from AB=24.7 to 23.4 for the redder ones. The limit in the NIR is (Vega) K_s~20, H~21, J~22. We expect to obtain accurate…
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.
