Results 21 to 30 of about 47,826 (245)

Improving photometric redshifts with Lyα tomography [PDF]

Monthly Notices of the Royal Astronomical Society, 2016
Forming a three dimensional view of the Universe is a long-standing goal of astronomical observations, and one that becomes increasingly difficult at high redshift. In this paper we discuss how tomography of the intergalactic medium (IGM) at $z\simeq 2.5$ can be used to estimate the redshifts of massive galaxies in a large volume of the Universe based ...
Schmittfull, Marcel, White, Martin
openaire   +4 more sources

Morpho-photometric redshifts [PDF]

Monthly Notices of the Royal Astronomical Society, 2019
ABSTRACT Machine learning (ML) is one of two standard approaches (together with SED fitting) for estimating the redshifts of galaxies when only photometric information is available. ML photo-z solutions have traditionally ignored the morphological information available in galaxy images or partly included it in the form of hand-crafted ...
openaire   +2 more sources

Hierarchical Bayesian Inference of Photometric Redshifts with Stellar Population Synthesis Models

The Astrophysical Journal Supplement Series, 2023
We present a Bayesian hierarchical framework to analyze photometric galaxy survey data with stellar population synthesis (SPS) models. Our method couples robust modeling of spectral energy distributions with a population model and a noise model to ...
Boris Leistedt, Justin Alsing, Hiranya Peiris, Daniel Mortlock, Joel Leja   +4 more
doaj   +1 more source

Bayesian Photometric Redshift Estimation [PDF]

The Astrophysical Journal, 2000
36 pages, AAS Latex, submitted to ...
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Cooperative photometric redshift estimation [PDF]

Proceedings of the International Astronomical Union, 2016
AbstractIn the modern galaxy surveys photometric redshifts play a central role in a broad range of studies, from gravitational lensing and dark matter distribution to galaxy evolution. Using a dataset of ~ 25,000 galaxies from the second data release of the Kilo Degree Survey (KiDS) we obtain photometric redshifts with five different methods: (i ...
Cavuoti, S., Tortora, C., Brescia, M., Longo, G., Radovich, M., Napolitano, N. R., Amaro, V., Vellucci, C.   +7 more
openaire   +5 more sources

ANNz: estimating photometric redshifts using artificial neural networks [PDF]

, 2004
We introduce ANNz, a freely available software package for photometric redshift estimation using Artificial Neural Networks. ANNz learns the relation between photometry and redshift from an appropriate training set of galaxies for which the redshift is ...
Adrian A. Collister, Bolzonella M., Dickinson M., Lahav O., Ofer Lahav   +4 more
core   +3 more sources

The Statistical Approach to Quantifying Galaxy Evolution [PDF]

, 1998
Studies of the distribution and evolution of galaxies are of fundamental importance to modern cosmology; these studies, however, are hampered by the complexity of the competing effects of spectral and density evolution.
Alexander S. Szalay, Andrew J. Connolly, Connolly A. J., Driver S. P., Gwyn S. D. J., Hall P., Hogg D. W., Jones L. R., Lilly S. J., Metcalfe N., Mobasher B., Robert J. Brunner, Shanks T.   +12 more
core   +2 more sources

Photometric Redshifts of Quasars

The Astronomical Journal, 2001
We demonstrate that the design of the Sloan Digital Sky Survey (SDSS) filter system and the quality of the SDSS imaging data are sufficient for determining accurate and precise photometric redshifts (``photo-z''s) of quasars. Using a sample of 2625 quasars, we show that photo-z determination is even possible for z<=2.2 despite the lack of a strong ...
Richards, GT, Weinstein, MA, Schneider, DP, Fan, XH, Strauss, MA, Vanden Berk, DE, Annis, J, Burles, S, Laubacher, EM, York, DG, Frieman, JA, Johnston, D, Scranton, R, Gunn, JE, Nichol, RC, Ivezic, Z, Budavári, T, Csabai, I, Szalay, AS, Connolly, AJ, Szokoly, GP, Bahcall, NA, Benítez, N, Brinkmann, J, Brunner, R, Fukugita, M, Hall, PB, Hennessy, GS, Knapp, GR, Kunszt, PZ, Lamb, DQ, Munn, JA, Newberg, HJ, Stoughton, C   +33 more
openaire   +5 more sources

Photometric Redshift Error Estimators [PDF]

The Astrophysical Journal, 2008
Photometric redshift (photo-z) estimates are playing an increasingly important role in extragalactic astronomy and cosmology. Crucial to many photo-z applications is the accurate quantification of photometric redshift errors and their distributions, including identification of likely catastrophic failures in photo-z estimates.
Oyaizu, Hiroaki, Lima, Marcos, Cunha, Carlos E., Lin, Huan, Frieman, Joshua   +4 more
openaire   +2 more sources

Spectroscopic Confirmation of CEERS NIRCam-selected Galaxies at z ≃ 8–10

The Astrophysical Journal Letters, 2023
We present JWST/NIRSpec prism spectroscopy of seven galaxies selected from Cosmic Evolution Early Release Science (CEERS) survey NIRCam imaging with photometric redshifts z _phot > 8.
Pablo Arrabal Haro, Mark Dickinson, Steven L. Finkelstein, Seiji Fujimoto, Vital Fernández, Jeyhan S. Kartaltepe, Intae Jung, Justin W. Cole, Denis Burgarella, Katherine Chworowsky, Taylor A. Hutchison, Alexa M. Morales, Casey Papovich, Raymond C. Simons, Ricardo O. Amorín, Bren E. Backhaus, Micaela B. Bagley, Laura Bisigello, Antonello Calabrò, Marco Castellano, Nikko J. Cleri, Romeel Davé, Avishai Dekel, Henry C. Ferguson, Adriano Fontana, Eric Gawiser, Mauro Giavalisco, Santosh Harish, Nimish P. Hathi, Michaela Hirschmann, Benne W. Holwerda, Marc Huertas-Company, Anton M. Koekemoer, Rebecca L. Larson, Ray A. Lucas, Bahram Mobasher, Pablo G. Pérez-González, Nor Pirzkal, Caitlin Rose, Paola Santini, Jonathan R. Trump, Alexander de la Vega, Xin Wang, Benjamin J. Weiner, Stephen M. Wilkins, Guang Yang, L. Y. Aaron Yung, Jorge A. Zavala   +47 more
doaj   +1 more source