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Cosmic photons can be efficiently collected by broadband intensity mapping but information on their emission redshift and frequency is largely lost. We introduce a technique to statistically recover these otherwise collapsed dimensions by…

Cosmology and Nongalactic Astrophysics · Physics 2019-06-12 Yi-Kuan Chiang , Brice Ménard , David Schiminovich

In this paper we introduce the \textsc{Deepz} deep learning photometric redshift (photo-$z$) code. As a test case, we apply the code to the PAU survey (PAUS) data in the COSMOS field. \textsc{Deepz} reduces the $\sigma_{68}$ scatter…

Accurate photometric redshifts are a lynchpin for many future experiments to pin down the cosmological model and for studies of galaxy evolution. In this study, a novel sparse regression framework for photometric redshift estimation is…

Instrumentation and Methods for Astrophysics · Physics 2025-06-03 Ibrahim A. Almosallam , Sam N. Lindsay , Matt J. Jarvis , Stephen J. Roberts

In addition to constructing a Galactic matter mass function free from the bias induced by the hydrogen-burning limit, gravitational microlensing allows one to construct a mass function which is less affected by the problem of unresolved…

Astrophysics · Physics 2009-10-31 Kyongae Chang , Cheongho Han

We present aperture-matched PSF-corrected BVi'z'JH photometry and Bayesian photometric redshifts (BPZ) for objects detected in the Hubble Ultra Deep Field (UDF), 8,042 of which are detected at the 10-sigma level (e.g., i'<29.01 or…

We describe the construction of a template set of spectral energy distributions (SEDs) for the estimation of photometric redshifts of luminous red galaxies (LRGs) with a Bayesian template fitting method. By examining the color properties of…

Cosmology and Nongalactic Astrophysics · Physics 2013-04-24 Natascha Greisel , Stella Seitz , Niv Drory , Ralf Bender , Roberto Saglia , Jan Snigula

Although the optical colour-magnitude diagram of galaxies allows one to select red sequence objects, neither can it be used for galaxy classification without additional observational data such as spectra or high-resolution images, nor to…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-27 Igor Chilingarian , Ivan Zolotukhin

Surface brightness is a fundamental observational parameter of galaxies. We show, for the first time in detail, how it can be used to obtain photometric redshifts for galaxies, the $\mu$-PhotoZ method. We demonstrate that the Tolman surface…

With the launch of eROSITA (extended Roentgen Survey with an Imaging Telescope Array), successfully occurred on 2019 July 13, we are facing the challenge of computing reliable photometric redshifts for 3 million of active galactic nuclei…

Instrumentation and Methods for Astrophysics · Physics 2019-09-04 M. Brescia , M. Salvato , S. Cavuoti , T. T. Ananna , G. Riccio , S. M. LaMassa , C. M. Urry , G. Longo

Forthcoming large photometric surveys for cosmology require precise and accurate photometric redshift (photo-z) measurements for the success of their main science objectives. However, to date, no method has been able to produce photo-$z$s…

Astrophysics of Galaxies · Physics 2020-11-25 Euclid Collaboration , G. Desprez , S. Paltani , J. Coupon , I. Almosallam , A. Alvarez-Ayllon , V. Amaro , M. Brescia , M. Brodwin , S. Cavuoti , J. De Vicente-Albendea , S. Fotopoulou , P. W. Hatfield , W. G. Hartley , O. Ilbert , M. J. Jarvis , G. Longo , R. Saha , J. S. Speagle , A. Tramacere , M. Castellano , F. Dubath , A. Galametz , M. Kuemmel , C. Laigle , E. Merlin , J. J. Mohr , S. Pilo , M. Salvato , M. M. Rau , S. Andreon , N. Auricchio , C. Baccigalupi , A. Balaguera-Antolínez , M. Baldi , S. Bardelli , R. Bender , A. Biviano , C. Bodendorf , D. Bonino , E. Bozzo , E. Branchini , J. Brinchmann , C. Burigana , R. Cabanac , S. Camera , V. Capobianco , A. Cappi , C. Carbone , J. Carretero , C. S. Carvalho , R. Casas , S. Casas , F. J. Castander , G. Castignani , A. Cimatti , R. Cledassou , C. Colodro-Conde , G. Congedo , C. J. Conselice , L. Conversi , Y. Copin , L. Corcione , H. M. Courtois , J. -G. Cuby , A. Da Silva , S. de la Torre , H. Degaudenzi , D. Di Ferdinando , M. Douspis , C. A. J. Duncan , X. Dupac , A. Ealet , G. Fabbian , M. Fabricius , S. Farrens , P. G. Ferreira , F. Finelli , P. Fosalba , N. Fourmanoit , M. Frailis , E. Franceschi , M. Fumana , S. Galeotta , B. Garilli , W. Gillard , B. Gillis , C. Giocoli , G. Gozaliasl , J. Graciá-Carpio , F. Grupp , L. Guzzo , M. Hailey , S. V. H. Haugan , W. Holmes , F. Hormuth , A. Humphrey , K. Jahnke , E. Keihanen , S. Kermiche , M. Kilbinger , C. C. Kirkpatrick , T. D. Kitching , R. Kohley , B. Kubik , M. Kunz , H. Kurki-Suonio , S. Ligori , P. B. Lilje , I. Lloro , D. Maino , E. Maiorano , O. Marggraf , K. Markovic , N. Martinet , F. Marulli , R. Massey , M. Maturi , N. Mauri , S. Maurogordato , E. Medinaceli , S. Mei , M. Meneghetti , R. Benton Metcalf , G. Meylan , M. Moresco , L. Moscardini , E. Munari , S. Niemi , C. Padilla , F. Pasian , L. Patrizii , V. Pettorino , S. Pires , G. Polenta , M. Poncet , L. Popa , D. Potter , L. Pozzetti , F. Raison , A. Renzi , J. Rhodes , G. Riccio , E. Rossetti , R. Saglia , D. Sapone , P. Schneider , V. Scottez , A. Secroun , S. Serrano , C. Sirignano , G. Sirri , L. Stanco , D. Stern , F. Sureau , P. Tallada Crespí , D. Tavagnacco , A. N. Taylor , M. Tenti , I. Tereno , R. Toledo-Moreo , F. Torradeflot , L. Valenziano , J. Valiviita , T. Vassallo , M. Viel , Y. Wang , N. Welikala , L. Whittaker , A. Zacchei , G. Zamorani , J. Zoubian , E. Zucca

We explore the enhanced self-calibration of photometric galaxy redshift distributions, $n(z)$, through the combination of up to six two-point functions. Our $\rm 3\times2pt$ configuration is comprised of photometric shear, spectroscopic…

We present and describe a catalog of galaxy photometric redshifts (photo-z's) for the Sloan Digital Sky Survey (SDSS) Coadd Data. We use the Artificial Neural Network (ANN) technique to calculate photo-z's and the Nearest Neighbor Error…

HST images of a sample of 285 galaxies with measured z from the CFRS and Autofib-LDSS redshift surveys are analysed to derive the evolution of the merger fraction out to z~1. We have performed visual and machine-based merger…

Photometric redshifts for galaxies in the Hubble Deep Field are measured. Luminosity functions show steepening of the faint-end slope and mild brightening of M* out to z~3, followed by a decline at higher z; an excess of faint, star-forming…

Astrophysics · Physics 2007-05-23 M. J. Sawicki , H. Lin , H. K. C. Yee

We present positions, magnitudes, sizes and morphological classifications for 111 galaxies discovered in the Hubble Space Telescope NICMOS Camera 1 and Camera 2 parallel fields. We combine the magnitudes measured in the JHK-analog filters…

Astrophysics · Physics 2009-10-31 M. R. Corbin , W. D. Vacca , E. O'Neil , R. I. Thompson , M. Rieke , G. Schneider

We present the combination of the Canada-France-Hawaii Telescope (CHFT) Large Area $U$-bands Deep Survey (CLAUDS) and the Hyper-Suprime-Cam (HSC) Subaru Strategic Program (HSC-SSP) data over their four deep fields. We provide photometric…

Photometric redshifts (photo-z's) provide an alternative way to estimate the distances of large samples of galaxies and are therefore crucial to a large variety of cosmological problems. Among the various methods proposed over the years,…

Instrumentation and Methods for Astrophysics · Physics 2017-06-13 Stefano Cavuoti , Massimo Brescia , Valeria Amaro , Civita Vellucci , Giuseppe Longo , Crescenzo Tortora

As a means of better understanding the evolution of optically selected galaxies we consider the distribution of galaxies within the multicolor space $U$, $B_J$, $R_F$ and $I_N$. We find that they form an almost planar distribution out to…

Astrophysics · Physics 2008-11-26 A. J. Connolly , I. Csabai , A. S. Szalay , D. C. Koo , R. G. Kron , J. A. Munn

We present the first systematic comparison of ultraviolet-millimeter spectral energy distributions (SEDs) of observed and simulated interacting galaxies. Our sample is drawn from the Spitzer Interacting Galaxy Survey, and probes a range of…

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