Photometric redshifts in the North Ecliptic Pole Wide field based on a deep optical survey with Hyper Suprime-Cam
Sign Up to like & getrecommendations! Published in 2021 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staa3549
Abstract: The $AKARI$ space infrared telescope has performed near- to mid-infrared (MIR) observations on the North Ecliptic Pole Wide (NEPW) field (5.4 deg$^2$) for about one year. $AKARI$ took advantage of its continuous nine photometric bands,… read more here.
Keywords: field; north ecliptic; deep optical; pole wide ... See more keywords
SuperCLASS – II. Photometric redshifts and characteristics of spatially resolved μJy radio sources
Sign Up to like & getrecommendations! Published in 2020 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staa657
Abstract: We present optical and near-infrared imaging covering a $\sim$1.53 deg$^2$ region in the Super-Cluster Assisted Shear Survey (SuperCLASS) field, which aims to make the first robust weak lensing measurement at radio wavelengths. We derive photometric… read more here.
Keywords: photometric redshifts; radio; characteristics spatially; radio sources ... See more keywords
The PAU Survey: narrow-band photometric redshifts using Gaussian processes
Sign Up to like & getrecommendations! Published in 2021 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stab711
Abstract: We study the performance of the hybrid template-machine-learning photometric redshift (photo-z) algorithm Delight on a subset of the early data release of the Physics of the Accelerating Universe Survey (PAUS). We calibrate the fluxes of… read more here.
Keywords: band photometric; survey narrow; pau survey; narrow band ... See more keywords
Improving machine learning-derived photometric redshifts and physical property estimates using unlabelled observations
Sign Up to like & getrecommendations! Published in 2022 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stac3596
Abstract: In the era of huge astronomical surveys, machine learning offers promising solutions for the efficient estimation of galaxy properties. The traditional, ‘supervised’ paradigm for the application of machine learning involves training a model on labelled… read more here.
Keywords: photometric redshifts; machine; machine learning; derived photometric ... See more keywords
Quasar photometric redshifts from incomplete data using Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stac660
Abstract: Forthcoming astronomical surveys are expected to detect new sources in such large numbers that measuring their spectroscopic redshift measurements will be not be practical. Thus, there is much interest in using machine learning to yield… read more here.
Keywords: photometric redshifts; deep learning; redshifts incomplete; quasar photometric ... See more keywords
The 2-degree Field Lensing Survey: photometric redshifts from a large new training sample to r < 19.5
Sign Up to like & getrecommendations! Published in 2017 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stw3151
Abstract: We present a new training set for estimating empirical photometric redshifts of galaxies, which was created as part of the 2-degree Field Lensing Survey project. This training set is located in a ~700 deg area… read more here.
Keywords: photometric redshifts; field; survey; new training ... See more keywords
A cooperative approach among methods for photometric redshifts estimation: an application to KiDS data
Sign Up to like & getrecommendations! Published in 2017 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stw3208
Abstract: Photometric redshifts (photo-z) are fundamental in galaxy surveys to address different topics, from gravitational lensing and dark matter distribution to galaxy evolution. The Kilo Degree Survey (KiDS), i.e. the European Southern Observatory (ESO) public survey… read more here.
Keywords: photometric redshifts; cooperative approach; galaxy; machine learning ... See more keywords
CLASH: accurate photometric redshifts with 14 HST bands in massive galaxy cluster cores
Sign Up to like & getrecommendations! Published in 2017 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stx1243
Abstract: We present accurate photometric redshifts for galaxies observed by the Cluster Lensing And Supernova survey with Hubble (CLASH). CLASH observed 25 massive galaxy cluster cores with the Hubble Space Telescope in 16 filters spanning 0.2–1.7… read more here.
Keywords: photometric redshifts; massive galaxy; cluster cores; galaxy cluster ... See more keywords
Morpho-z: improving photometric redshifts with galaxy morphology
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DOI: 10.1093/mnras/stx3201
Abstract: We conduct a comprehensive study of the effects of incorporating galaxy morphology information in photometric redshift estimation. Using machine learning methods, we assess the changes in the scatter and outlier fraction of photometric redshifts when… read more here.
Keywords: photometric redshifts; morpho improving; morphology; galaxy morphology ... See more keywords
Gaussian mixture models for blended photometric redshifts
Sign Up to like & getrecommendations! Published in 2019 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stz2687
Abstract: Future cosmological galaxy surveys such as the Large Synoptic Survey Telescope (LSST) will photometrically observe very large numbers of galaxies. Without spectroscopy, the redshifts required for the analysis of these data will need to be… read more here.
Keywords: models blended; photometric redshifts; blended photometric; gaussian mixture ... See more keywords