Calibrating photometric redshifts with intensity mapping observations

dc.contributor.authorAlonso, David
dc.contributor.authorFerreira, Pedro G.
dc.contributor.authorJarvis, Matt
dc.contributor.authorMoodley, Kavilan
dc.date.accessioned2017-09-27T09:34:24Z
dc.date.available2017-09-27T09:34:24Z
dc.date.issued2017
dc.description.abstractImaging surveys of galaxies will have a high number density and angular resolution yet a poor redshift precision. Intensity maps of neutral hydrogen (HI) will have accurate redshift resolution yet will not resolve individual sources. Using this complementarity, we show how the clustering redshifts approach, proposed for spectroscopic surveys can also be used in combination with intensity mapping observations to calibrate the redshift distribution of galaxies in an imaging survey and, as a result, reduce uncertainties in photometric redshift measurements. We show how the intensity mapping surveys to be carried out with the MeerKAT, HIRAX and SKA instruments can improve photometric redshift uncertainties to well below the requirements of DES and LSST. The effectiveness of this method as a function of instrumental parameters, foreground subtraction and other potential systematic errors is discussed in detail.en_US
dc.description.accreditationScopus
dc.identifier.citationAlonso, D. et al. (2017). Calibrating photometric redshifts with intensity mapping observations. Physical Review D, 96: 043515en_US
dc.identifier.issn2470-0010
dc.identifier.urihttp://dx.doi.org/10.1103/PhysRevD.96.043515
dc.identifier.urihttp://hdl.handle.net/10566/3210
dc.language.isoenen_US
dc.privacy.showsubmitterFALSE
dc.publisherAmerican Physical Societyen_US
dc.rightsThis is the pre-print version of the article published online at: http://dx.doi.org/10.1103/PhysRevD.96.043515
dc.status.ispeerreviewedTRUE
dc.subjectPhotometric redshiftsen_US
dc.subjectIntensity mappingen_US
dc.subjectGalaxiesen_US
dc.subjectMeerKATen_US
dc.subjectHIRAXen_US
dc.subjectSKAen_US
dc.titleCalibrating photometric redshifts with intensity mapping observationsen_US
dc.typeArticleen_US

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