Results 151 to 160 of about 47,826 (245)

The Canada‐France Deep Fields Survey. III. Photometric Redshift Distribution to I _AB = 24 [PDF]

, 2006
M. Brodwin, S. J. Lilly, C. Porciani, H. J. McCracken, O. Le Févre, Sylvie Foucaud, D. Crampton, Y. Mellier   +7 more
openalex   +1 more source

Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation

The Astrophysical Journal
We present Mantis Shrimp , a multisurvey deep learning model for photometric redshift estimation that fuses ultraviolet (Galaxy Evolution Explorer), optical (PanSTARRS), and infrared (UnWISE) imagery.
Andrew W. Engel, Nell Byler, Adam Tsou, Gautham Narayan, Emmanuel Bonilla, Ian Smith   +5 more
doaj   +1 more source

CLASH: Photometric redshifts with 16 HST bands in galaxy cluster fields [PDF]

, 2013
S. Jouvel, O. Host, O. Lahav, S. Seitz, A. Molino, D. Coe, M. Postman, L. Moustakas, N. Benìtez, P. Rosati, I. Balestra, C. Grillo, L. Bradley, A. Fritz, D. Kelson, A. M. Koekemoer, D. Lemze, E. Medezinski, A. Mercurio, J. Moustakas, M. Nonino, M. Scodeggio, W. Zheng, A. Zitrin, M. Bartelmann, R. Bouwens, T. Broadhurst, M. Donahue, H. Ford, G. Graves, L. Infante, Y. Jimenez-Teja, R. Lazkoz, P. Melchior, M. Meneghetti, J. Merten, S. Ogaz, K. Umetsu   +37 more
openalex   +1 more source

Photometric Redshifts for Cosmology: Improving accuracy and uncertainty estimates using Bayesian Neural Networks

, 2021
Evan Jones, Tuan Do, Bernie Boscoe, Yujie Wan, Zooey Nguyen   +4 more
openalex   +1 more source

Photometric Selection of Type 1 Quasars in the XMM-LSS Field with Machine Learning and the Disk–Corona Connection

The Astrophysical Journal
We present photometric selection of type 1 quasars in the ≈5.3 deg ^2 XMM-Large Scale Structure survey field with machine learning. We constructed our training and blind-test samples using spectroscopically identified Sloan Digital Sky Survey quasars ...
Jian Huang, Bin Luo, W. N. Brandt, Ying Chen, Qingling Ni, Yongquan Xue, Zijian Zhang   +6 more
doaj   +1 more source

Supermassive Dark Star candidates seen by JWST. [PDF]

Proc Natl Acad Sci U S A, 2023
Ilie C, Paulin J, Freese K.
europepmc   +1 more source

J-PLUS: Tomographic analysis of galaxy angular density and redshift fluctuations in Data Release 3. Constraints on photo-$z$ errors, linear bias, and peculiar velocities

The Open Journal of Astrophysics
The Javalambre Photometric Local Universe Survey (J-PLUS) is a spectro-photometricsurvey covering about 3,000~deg$^2$ in its third data release (DR3), and containing about 300,000 galaxies with high quality ({\it odds}$>0.8$) photometric redshifts ...
Carlos Hernández-Monteagudo, A. Balaguera-Antolínez, R. von Marttens, A. del Pino, A. Hernán-Caballero, L. R. Abramo, J. Chaves-Montero, C. López-Sanjuan, V. Marra, E. Tempel, G. Aricò, J. Cenarro, D. Cristóbal-Hornillos, A. Marín-Franch, M. Moles, J. Varela, H. Vázquez Ramió, J. Alcaniz, R. Dupke, A. Ederoclite, L. Sodré Jr., R. E. Angulo   +21 more
doaj   +1 more source

Photometric redshifts for the Pan-STARRS1 survey [PDF]

, 2020
P. Tarrío, S. Zarattini
openalex   +1 more source

Cosmology with photometric redshifts

, 2020
Upcoming large scale photometric surveys will require accurate photometric redshifts (photo-zs) to optimally extract astrophysical information. This thesis investigates methods of making and improving cosmological measurements using photo-zs. Gaussian Processes for Photometric Redshift Estimation (GPz) has been proven to provide accurate estimates and
openaire   +1 more source

Cosmology with photometric redshift

, 2020
Universitat Autònoma de Barcelona.
openaire   +2 more sources