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Clustering-based redshift estimation: application to VIPERS/CFHTLS

2016· article· en· 41 citations· W2396925636 on OpenAlex· 10.1093/mnras/stw1500

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

About CanadaIts subject is Canada, wherever its authors sit.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

The three-model screen

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All three models called this out of scope.

stratum: about_only · design weight: 3321.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Clustering-based redshift estimation applied to galaxy surveys; an astronomy method used to answer an astronomy question.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

The work tests a redshift-estimation technique for galaxy surveys rather than studying research practice.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Astronomy method for clustering-based redshift estimation; domain astrophysics technique.

Abstract

We explore the accuracy of the clustering-based redshift estimation proposed by Ménard et al. when applied to VIMOS Public Extragalactic Redshift Survey (VIPERS) and Canada–France–Hawaii Telescope Legacy Survey (CFHTLS) real data. This method enables us to reconstruct redshift distributions from measurement of the angular clustering of objects using a set of secure spectroscopic redshifts. We use state-of-the-art spectroscopic measurements with iAB < 22.5 from the VIPERS as reference population to infer the redshift distribution of galaxies from the CFHTLS T0007 release. VIPERS provides a nearly representative sample to a flux limit of iAB < 22.5 at a redshift of >0.5 which allows us to test the accuracy of the clustering-based redshift distributions. We show that this method enables us to reproduce the true mean colour–redshift relation when both populations have the same magnitude limit. We also show that this technique allows the inference of redshift distributions for a population fainter than the reference and we give an estimate of the colour–redshift mapping in this case. This last point is of great interest for future large-redshift surveys which require a complete faint spectroscopic sample.

Stored with the screening record, where it is evidence for the labels above.

The record

Venue
Monthly Notices of the Royal Astronomical Society
Topic
Galaxies: Formation, Evolution, Phenomena
Field
Physics and Astronomy
Canadian institutions
Funders
Institut national des sciences de l'UniversInstitut Universitaire de FranceCentre National de la Recherche ScientifiqueEuropean Southern ObservatoryNarodowym Centrum NaukiScience and Technology Facilities CouncilMinistero dell’Istruzione, dell’Università e della RicercaNational Aeronautics and Space AdministrationEuropean CommissionCalifornia Institute of TechnologyAgence Nationale de la RechercheCentre National d’Etudes Spatiales
Keywords
RedshiftPhysicsRedshift surveyAstrophysicsGalaxyPhotometric redshiftCluster analysisPopulationAstronomyArtificial intelligenceComputer science
Has abstract in OpenAlex
yes