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dc.contributor.authorHainline, KNen
dc.contributor.authorHviding, REen
dc.contributor.authorRieke, Men
dc.contributor.authorShivaei, Ien
dc.contributor.authorEndsley, Ren
dc.contributor.authorCurtis-Lake, Een
dc.contributor.authorSmit, Ren
dc.contributor.authorWilliams, CCen
dc.contributor.authorAlberts, Sen
dc.contributor.authorK Boyett, KNen
dc.contributor.authorBunker, AJen
dc.contributor.authorEgami, Een
dc.contributor.authorMaseda, MVen
dc.contributor.authorTacchella, Sen
dc.contributor.authorWillmer, CNAen
dc.date.accessioned2020-05-12T23:30:30Z
dc.date.available2020-05-12T23:30:30Z
dc.date.issued2020-04-01en
dc.identifier.issn0004-637X
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/305315
dc.description.abstractThe Near Infrared Camera (NIRCam) instrument on the upcoming James Webb Space Telescope will offer an unprecedented view of the most distant galaxies. In preparation for future deep NIRCam extragalactic surveys, it is crucial to understand the color selection of high-redshift galaxies using the Lyman dropout technique. To that end, we have used the JAdes extraGalactic Ultradeep Artificial Realizations mock catalog to simulate a series of extragalactic surveys with realistic noise estimates. This enables us to explore different color selections and their impact on the number density of recovered high-redshift galaxies and lower-redshift interlopers. We explore how survey depth, detection signal-to-noise ratio, color selection method, detection filter choice, and the presence of the Lyα emission line affects the resulting dropout selected samples. We find that redder selection colors reduce the number of recovered high-redshift galaxies, but the overall accuracy of the final sample is higher. In addition, we find that methods that utilize two or three color cuts have higher accuracy because of their ability to select against low-redshift quiescent and faint dusty interloper galaxies. We also explore the near-IR colors of brown dwarfs and demonstrate that, while they are predicted to have low on-sky densities, they are most likely to be recovered in F090W dropout selection, but there are color cuts that help to mitigate this contamination. Overall, our results provide NIRCam selection methods to aid in the creation of large, pure samples of ultra-high-redshift galaxies from photometry alone.
dc.publisherAmerican Astronomical Society
dc.rightsPublisher's own licence
dc.rights.uri
dc.titleSimulating JWST/NIRCam Color Selection of High-redshift Galaxiesen
dc.typeArticle
prism.issueIdentifier2en
prism.publicationDate2020en
prism.publicationNameAstrophysical Journalen
prism.volume892en
dc.identifier.doi10.17863/CAM.52400
dcterms.dateAccepted2020-03-07en
rioxxterms.versionofrecord10.3847/1538-4357/ab7dc3en
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2020-04-01en
dc.contributor.orcidHainline, KN [0000-0003-4565-8239]
dc.contributor.orcidHviding, RE [0000-0002-4684-9005]
dc.contributor.orcidRieke, M [0000-0002-7893-6170]
dc.contributor.orcidShivaei, I [0000-0003-4702-7561]
dc.contributor.orcidEndsley, R [0000-0003-4564-2771]
dc.contributor.orcidSmit, R [0000-0001-8034-7802]
dc.contributor.orcidWilliams, CC [0000-0003-2919-7495]
dc.contributor.orcidAlberts, S [0000-0002-8909-8782]
dc.contributor.orcidMaseda, MV [0000-0003-0695-4414]
dc.contributor.orcidTacchella, S [0000-0002-8224-4505]
dc.contributor.orcidWillmer, CNA [0000-0001-9262-9997]
dc.identifier.eissn1538-4357
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idECH2020 EUROPEAN RESEARCH COUNCIL (ERC) (695671)


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