Constraining stellar population parameters from narrow band photometric surveys using convolutional neural networks
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DOI: 10.1093/mnras/stab030
Abstract: Upcoming large-area narrow band photometric surveys, such as J-PAS, will enable us to observe a large number of galaxies simultaneously and efficiently. However, it will be challenging to analyse the spatially-resolved stellar populations of galaxies… read more here.
Keywords: band photometric; photometric surveys; narrow band; convolutional neural ... 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