Results 121 to 130 of about 66,413 (243)

Constraining Scale Dependent Growth with Redshift Surveys [PDF]

, 2022
Mikhail Denissenya, Eric V. Linder
openalex   +1 more source

Erratum: "The Northern Sky Optical Cluster Survey. IV. An Intermediate-Redshift Galaxy Cluster Catalog and the Comparison of Two Detection Algorithms" ([URL ADDRESS="/cgi-bin/resolve?2004AJ....128.1017L" STATUS="OKAY"]AJ, 128, 1017 [2004][/URL]) [PDF]

, 2005
P. A. A. Lopes, R. R. de Carvalho, R. R. Gal, S. G. Djorgovski, S. C. Odewahn, A. Mahabal, Róbert Brunner   +6 more
openalex   +1 more source

On the Feasibility of Deriving Pseudo-redshifts of Gamma-Ray Bursts from Two Phenomenological Correlations

The Astrophysical Journal
Accurate knowledge of gamma-ray burst (GRB) redshifts is essential for studying their intrinsic properties and exploring their potential applications in cosmology. Currently, only a small fraction of GRBs have independent redshift measurements, primarily
Emre S. Yorgancioglu, Yun-Fei Du, Shu-Xu Yi, Rahim Moradi, Hua Feng, Shuang-Nan Zhang   +5 more
doaj   +1 more source

Photometric Redshift Estimation of Quasars by a Cross-modal Contrast Learning Method

The Astronomical Journal
Estimating photometric redshifts (photo- z ) of quasars is crucial for measuring cosmic distances and monitoring cosmic evolution. While numerous point estimation methods have successfully determined photo- z , they often struggle with the inherently ill-
Chen Zhang, Wenyu Wang, Meixia Qu, Bin Jiang, YanXia Zhang   +4 more
doaj   +1 more source

The VIMOS Public Extragalactic Redshift Survey (VIPERS). Galaxy clustering and redshift-space distortions at z=0.8 in the first data release [PDF]

, 2013
S. de la Torre, L. Guzzo, J. A. Peacock, E. Branchini, A. Iovino, B. R. Granett, U. Abbas, C. Adami, S. Arnouts, J. Bel, M. Bolzonella, D. Bottini, A. Cappi, J. Coupon, O. Cucciati, I. Davidzon, G. De Lucia, A. Fritz, P. Franzetti, M. Fumana, B. Garilli, O. Ilbert, J. Krywult, V. Le Brun, O. Le Fèvre, D. Maccagni, K. Małek, F. Marulli, H. J. McCracken, L. Moscardini, L. Paioro, Will J. Percival, M. Polletta, A. Pollo, H. Schlagenhaufer, M. Scodeggio, L. A. M. Tasca, Rita Tojeiro, D. Vergani, A. Zanichelli, A. Burden, C. Di Porto, A. Marchetti, C. Marinoni, Y. Mellier, Pierluigi Monaco, R. C. Nichol, S. Phleps, M. Wolk, G. Zamorani   +49 more
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Correction to: CSST large-scale structure analysis pipeline: I. Constructing reference mock galaxy redshift surveys [PDF]

openalex   +1 more source

Improving Photometric Redshift Estimation for Cosmology with LSST Using Bayesian Neural Networks

The Astrophysical Journal
We present results exploring the role that probabilistic deep learning models can play in cosmology from large-scale astronomical surveys through photometric redshift (photo- z ) estimation.
Evan Jones, Tuan Do, Bernie Boscoe, Jack Singal, Yujie Wan, Zooey Nguyen   +5 more
doaj   +1 more source

RVSNUpy: A Python Package for Spectroscopic Redshift Measurement Based on Cross Correlation

The Astronomical Journal
We introduce RVSNUpy , a new Python package designed to measure spectroscopic redshifts. Based on inverse-variance-weighted cross correlation, RVSNUpy determines redshifts by comparing observed spectra with various rest-frame template spectra.
Taewan Kim, Jubee Sohn, Ho Seong Hwang
doaj   +1 more source

New Upper Limit on the Total Neutrino Mass from the 2 Degree Field Galaxy Redshift Survey [PDF]

, 2002
Ø. Elgarøy, O. Lahav, Will J. Percival, J. A. Peacock, Darren S. Madgwick, Sarah Bridle, C. M. Baugh, I. K. Baldry, Joss Bland‐Hawthorn, Terry Bridges, Russell Cannon, Shaun Cole, Matthew Colless, C. Collins, W. J. Couch, Gavin Dalton, R. De Pietri, Simon P. Driver, G. Efstathiou, Richard S. Ellis, Carlos S. Frenk, Karl Glazebrook, Carole Jackson, Ian Lewis, S. L. Lumsden, S. Maddox, P. Norberg, B. A. Peterson, William J. Sutherland, K. Taylor   +29 more
openalex   +1 more source

Archetype-based Redshift Estimation for the Dark Energy Spectroscopic Instrument Survey

The Astronomical Journal
We present a computationally efficient galaxy archetype-based redshift estimation and spectral classification method for the Dark Energy Survey Instrument (DESI) survey.
Abhijeet Anand, Julien Guy, Stephen Bailey, John Moustakas, J. Aguilar, S. Ahlen, A. S. Bolton, A. Brodzeller, D. Brooks, T. Claybaugh, S. Cole, A. de la Macorra, Biprateep Dey, K. Fanning, J. E. Forero-Romero, E. Gaztañaga, S. Gontcho A Gontcho, G. Gutierrez, K. Honscheid, C. Howlett, S. Juneau, D. Kirkby, T. Kisner, A. Kremin, A. Lambert, M. Landriau, L. Le Guillou, M. Manera, A. Meisner, R. Miquel, E. Mueller, G. Niz, N. Palanque-Delabrouille, W. J. Percival, C. Poppett, F. Prada, A. Raichoor, M. Rezaie, G. Rossi, E. Sanchez, E. F. Schlafly, D. Schlegel, M. Schubnell, D. Sprayberry, G. Tarlé, C. Warner, B. A. Weaver, R. Zhou, H. Zou   +48 more
doaj   +1 more source