The NEWFIRM Medium-Band Survey: Filter Definitions and First Results
Pieter G. van Dokkum, Ivo Labbe, Danilo Marchesini, Ryan Quadri,, Gabriel Brammer, Katherine E. Whitaker, Mariska Kriek, Marijn Franx, Gregory, Rudnick, Garth Illingworth, Kyoung-Soo Lee, Adam Muzzin

TL;DR
The NEWFIRM Medium-Band Survey employs five medium-band filters in near-infrared imaging to significantly enhance photometric redshift accuracy for distant galaxies, enabling detailed studies of galaxy evolution and identification of exotic objects.
Contribution
This paper introduces a novel medium-band filter set for near-infrared imaging that improves redshift precision and object classification in galaxy surveys.
Findings
Medium-band filters accurately pinpoint the Balmer break for redshift determination.
The survey can identify high-redshift quasars and cool brown dwarfs efficiently.
Photometric redshift accuracy improves to Delta(z)/(1+z) ~ 0.02-0.03 for z>1.5.
Abstract
Deep near-infrared imaging surveys allow us to select and study distant galaxies in the rest-frame optical, and have transformed our understanding of the early Universe. As the vast majority of K- or IRAC-selected galaxies is too faint for spectroscopy, the interpretation of these surveys relies almost exclusively on photometric redshifts determined from fitting templates to the broad-band photometry. The best-achieved accuracy of these redshifts Delta(z)/(1+z) ~ 0.06 at z>1.5, which is sufficient for determining the broad characteristics of the galaxy population but not for measuring accurate rest-frame colors, stellar population parameters, or the local galaxy density. We have started a near-infrared imaging survey with the NEWFIRM camera on the Kitt Peak 4m telescope to greatly improve the accuracy of photometric redshifts in the range 1.5<z<3.5. The survey uses five medium-bandwidth…
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.
