Results 131 to 140 of about 47,826 (245)
Photometric Redshift Forecast for the 7-Dimensional Sky Survey
We investigate the expected accuracy of redshifts that can be obtained using low-resolution spectroscopic (medium-band) data from the 7-Dimensional Sky Survey (7DS). By leveraging 40 densely sampled filters with widths of FWHM = 25 nm, we create 7DS mock
Eunhee Ko +5 more
doaj +1 more source
On photometric redshift requirements
Cosmic shear constrains cosmology by exploiting the apparent alignments of pairs of galaxies due to gravitational lensing by intervening mass clumps. However, galaxies may become (intrinsically) aligned with each other, and with nearby mass clumps, during their formation.
Bridle, Sarah, King, Lindsay
openaire +1 more source
Photometric Redshifts and Gravitational Telescopes
We review the use of photometric redshifts in the particular context of Gravitational Telescopes. We discuss on the possible application of such a technique to the study of both the faint population of distant sources and the properties of cluster lenses.
Pello, R. +10 more
openaire +2 more sources
We present the construction of a deep multiwavelength point-spread-function-matched photometric catalog in the Ultra-Deep Survey (UDS) field following the final UKIDSS UDS release.
Kumail Zaidi +13 more
doaj +1 more source
How Future Space-Based Weak-Lensing Surveys Might Obtain Photometric Redshifts Independently [PDF]
R. Sorba, M. Sawicki
openalex +1 more source
Analytical marginalization over photometric redshift uncertainties in cosmic shear analyses [PDF]
Jaime Ruiz-Zapatero +5 more
openalex +1 more source
Photometric Redshifts in the CFDF
The Canada-France Deep Fields (CFDF) is a large, deep, multi-colour imaging survey undertaken primarily at CFHT. It is about 10 times fainter than the CFRS (Lilly et al 1995a) and contains over 100 times as many galaxies. With three common fields, CFDF redshifts will be estimated photometrically using the CFRS spectroscopic catalogue as a training set.
Brodwin, Mark +2 more
openaire +2 more sources
Improving Photometric Redshift Estimates with Training Sample Augmentation
Large imaging surveys will rely on photometric redshifts (photo- z 's), which are typically estimated through machine-learning methods. Currently planned spectroscopic surveys will not be deep enough to produce a representative training sample for Legacy
Irene Moskowitz +6 more
doaj +1 more source
Astrometric Redshifts of Supernovae
Differential Chromatic Refraction (DCR) is caused by the wavelength dependence of our atmosphere’s refractive index, which shifts the apparent positions of stars and galaxies and distorts their shapes depending on their spectral energy distributions ...
Jaemyoung (Jason) Lee +4 more
doaj +1 more source

