Testing LSST dither strategies for Survey Uniformity and Large-Scale Structure Systematics

Autores
Awan, Humna; Gawiser, Eric; Kurczynski, Peter; Lynne Jones, R.; Zhan, Hu; Padilla, Nelson David; Muñoz Arancibia, Alejandra M.; Orsi, Alvaro; Cora, Sofia Alejandra; Yoachim, Peter
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The Large Synoptic Survey Telescope (LSST) will survey the southern sky from 2022{2032 with unprecedented detail. Since the observing strategy can lead to artifacts in the data, we investigate the eects of telescope-pointing osets (called dithers) on the r-band coadded 5 depth yielded after the 10-year survey. We analyze this survey depth for several geometric patterns of dithers (e.g.,random, hexagonal lattice, spiral) with amplitude as large as the radius of the LSST eld-of-view, implemented on dierent timescales (per season, per night, per visit). Our results illustrate that per night and per visit dither assignments are more eective than per season. Also, we find that some dither geometries (e.g., hexagonal lattice) are particularly sensitive to the timescale on whichthe dithers are implemented, while others like random dithers perform well on all timescales. We then model the propagation of depth variations to articial uctuations in galaxy counts, which are a systematic for large-scale structure studies. We calculate the bias in galaxy counts caused by the observing strategy, accounting for photometric calibration uncertainties, dust extinction, and magnitude cuts; uncertainties in this bias limit our ability to account for structure induced by the observing strategy. We nd that after 10 years of the LSST survey, the best dither strategies lead to uncertainties in this bias smaller than the minimum statistical floor for a galaxy catalog as deep asr<27.5. A few of these strategies bring the uncertainties close to the statistical floor for r<25.7 after only one year of survey.
Fil: Awan, Humna. Rutgers University; Estados Unidos
Fil: Gawiser, Eric. Rutgers University; Estados Unidos
Fil: Kurczynski, Peter. Rutgers University; Estados Unidos
Fil: Lynne Jones, R.. University of Washington; Estados Unidos
Fil: Zhan, Hu. Chinese Academy of Sciences; República de China
Fil: Padilla, Nelson David. Pontificia Universidad Católica de Chile; Chile
Fil: Muñoz Arancibia, Alejandra M.. Pontificia Universidad Católica de Chile; Chile
Fil: Orsi, Alvaro. Centro de Estudios de Fisica del Cosmos de Aragon; España
Fil: Cora, Sofia Alejandra. Universidad Nacional de la Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica la Plata; Argentina
Fil: Yoachim, Peter. University of Washington; Estados Unidos
Materia
Galaxies
Surveys
Dark energy
Large scale structure of universe
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/36602
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/36602
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Testing LSST dither strategies for Survey Uniformity and Large-Scale Structure SystematicsAwan, HumnaGawiser, EricKurczynski, PeterLynne Jones, R.Zhan, HuPadilla, Nelson DavidMuñoz Arancibia, Alejandra M.Orsi, AlvaroCora, Sofia AlejandraYoachim, PeterGalaxiesSurveysDark energyLarge scale structure of universehttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The Large Synoptic Survey Telescope (LSST) will survey the southern sky from 2022{2032 with unprecedented detail. Since the observing strategy can lead to artifacts in the data, we investigate the eects of telescope-pointing osets (called dithers) on the r-band coadded 5 depth yielded after the 10-year survey. We analyze this survey depth for several geometric patterns of dithers (e.g.,random, hexagonal lattice, spiral) with amplitude as large as the radius of the LSST eld-of-view, implemented on dierent timescales (per season, per night, per visit). Our results illustrate that per night and per visit dither assignments are more eective than per season. Also, we find that some dither geometries (e.g., hexagonal lattice) are particularly sensitive to the timescale on whichthe dithers are implemented, while others like random dithers perform well on all timescales. We then model the propagation of depth variations to articial uctuations in galaxy counts, which are a systematic for large-scale structure studies. We calculate the bias in galaxy counts caused by the observing strategy, accounting for photometric calibration uncertainties, dust extinction, and magnitude cuts; uncertainties in this bias limit our ability to account for structure induced by the observing strategy. We nd that after 10 years of the LSST survey, the best dither strategies lead to uncertainties in this bias smaller than the minimum statistical floor for a galaxy catalog as deep asr<27.5. A few of these strategies bring the uncertainties close to the statistical floor for r<25.7 after only one year of survey.Fil: Awan, Humna. Rutgers University; Estados UnidosFil: Gawiser, Eric. Rutgers University; Estados UnidosFil: Kurczynski, Peter. Rutgers University; Estados UnidosFil: Lynne Jones, R.. University of Washington; Estados UnidosFil: Zhan, Hu. Chinese Academy of Sciences; República de ChinaFil: Padilla, Nelson David. Pontificia Universidad Católica de Chile; ChileFil: Muñoz Arancibia, Alejandra M.. Pontificia Universidad Católica de Chile; ChileFil: Orsi, Alvaro. Centro de Estudios de Fisica del Cosmos de Aragon; EspañaFil: Cora, Sofia Alejandra. Universidad Nacional de la Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica la Plata; ArgentinaFil: Yoachim, Peter. University of Washington; Estados UnidosIOP Publishing2016-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/36602Awan, Humna; Gawiser, Eric; Kurczynski, Peter; Lynne Jones, R.; Zhan, Hu; et al.; Testing LSST dither strategies for Survey Uniformity and Large-Scale Structure Systematics; IOP Publishing; Astrophysical Journal; 819; 9-2016; 50-660004-637XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3847/0004-637X/829/1/50info:eu-repo/semantics/altIdentifier/url/http://iopscience.iop.org/article/10.3847/0004-637X/829/1/50/metainfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:56:30Zoai:ri.conicet.gov.ar:11336/36602instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:56:31.007CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Testing LSST dither strategies for Survey Uniformity and Large-Scale Structure Systematics
title Testing LSST dither strategies for Survey Uniformity and Large-Scale Structure Systematics
spellingShingle Testing LSST dither strategies for Survey Uniformity and Large-Scale Structure Systematics
Awan, Humna
Galaxies
Surveys
Dark energy
Large scale structure of universe
title_short Testing LSST dither strategies for Survey Uniformity and Large-Scale Structure Systematics
title_full Testing LSST dither strategies for Survey Uniformity and Large-Scale Structure Systematics
title_fullStr Testing LSST dither strategies for Survey Uniformity and Large-Scale Structure Systematics
title_full_unstemmed Testing LSST dither strategies for Survey Uniformity and Large-Scale Structure Systematics
title_sort Testing LSST dither strategies for Survey Uniformity and Large-Scale Structure Systematics
dc.creator.none.fl_str_mv Awan, Humna
Gawiser, Eric
Kurczynski, Peter
Lynne Jones, R.
Zhan, Hu
Padilla, Nelson David
Muñoz Arancibia, Alejandra M.
Orsi, Alvaro
Cora, Sofia Alejandra
Yoachim, Peter
author Awan, Humna
author_facet Awan, Humna
Gawiser, Eric
Kurczynski, Peter
Lynne Jones, R.
Zhan, Hu
Padilla, Nelson David
Muñoz Arancibia, Alejandra M.
Orsi, Alvaro
Cora, Sofia Alejandra
Yoachim, Peter
author_role author
author2 Gawiser, Eric
Kurczynski, Peter
Lynne Jones, R.
Zhan, Hu
Padilla, Nelson David
Muñoz Arancibia, Alejandra M.
Orsi, Alvaro
Cora, Sofia Alejandra
Yoachim, Peter
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Galaxies
Surveys
Dark energy
Large scale structure of universe
topic Galaxies
Surveys
Dark energy
Large scale structure of universe
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The Large Synoptic Survey Telescope (LSST) will survey the southern sky from 2022{2032 with unprecedented detail. Since the observing strategy can lead to artifacts in the data, we investigate the eects of telescope-pointing osets (called dithers) on the r-band coadded 5 depth yielded after the 10-year survey. We analyze this survey depth for several geometric patterns of dithers (e.g.,random, hexagonal lattice, spiral) with amplitude as large as the radius of the LSST eld-of-view, implemented on dierent timescales (per season, per night, per visit). Our results illustrate that per night and per visit dither assignments are more eective than per season. Also, we find that some dither geometries (e.g., hexagonal lattice) are particularly sensitive to the timescale on whichthe dithers are implemented, while others like random dithers perform well on all timescales. We then model the propagation of depth variations to articial uctuations in galaxy counts, which are a systematic for large-scale structure studies. We calculate the bias in galaxy counts caused by the observing strategy, accounting for photometric calibration uncertainties, dust extinction, and magnitude cuts; uncertainties in this bias limit our ability to account for structure induced by the observing strategy. We nd that after 10 years of the LSST survey, the best dither strategies lead to uncertainties in this bias smaller than the minimum statistical floor for a galaxy catalog as deep asr<27.5. A few of these strategies bring the uncertainties close to the statistical floor for r<25.7 after only one year of survey.
Fil: Awan, Humna. Rutgers University; Estados Unidos
Fil: Gawiser, Eric. Rutgers University; Estados Unidos
Fil: Kurczynski, Peter. Rutgers University; Estados Unidos
Fil: Lynne Jones, R.. University of Washington; Estados Unidos
Fil: Zhan, Hu. Chinese Academy of Sciences; República de China
Fil: Padilla, Nelson David. Pontificia Universidad Católica de Chile; Chile
Fil: Muñoz Arancibia, Alejandra M.. Pontificia Universidad Católica de Chile; Chile
Fil: Orsi, Alvaro. Centro de Estudios de Fisica del Cosmos de Aragon; España
Fil: Cora, Sofia Alejandra. Universidad Nacional de la Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica la Plata; Argentina
Fil: Yoachim, Peter. University of Washington; Estados Unidos
description The Large Synoptic Survey Telescope (LSST) will survey the southern sky from 2022{2032 with unprecedented detail. Since the observing strategy can lead to artifacts in the data, we investigate the eects of telescope-pointing osets (called dithers) on the r-band coadded 5 depth yielded after the 10-year survey. We analyze this survey depth for several geometric patterns of dithers (e.g.,random, hexagonal lattice, spiral) with amplitude as large as the radius of the LSST eld-of-view, implemented on dierent timescales (per season, per night, per visit). Our results illustrate that per night and per visit dither assignments are more eective than per season. Also, we find that some dither geometries (e.g., hexagonal lattice) are particularly sensitive to the timescale on whichthe dithers are implemented, while others like random dithers perform well on all timescales. We then model the propagation of depth variations to articial uctuations in galaxy counts, which are a systematic for large-scale structure studies. We calculate the bias in galaxy counts caused by the observing strategy, accounting for photometric calibration uncertainties, dust extinction, and magnitude cuts; uncertainties in this bias limit our ability to account for structure induced by the observing strategy. We nd that after 10 years of the LSST survey, the best dither strategies lead to uncertainties in this bias smaller than the minimum statistical floor for a galaxy catalog as deep asr<27.5. A few of these strategies bring the uncertainties close to the statistical floor for r<25.7 after only one year of survey.
publishDate 2016
dc.date.none.fl_str_mv 2016-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/36602
Awan, Humna; Gawiser, Eric; Kurczynski, Peter; Lynne Jones, R.; Zhan, Hu; et al.; Testing LSST dither strategies for Survey Uniformity and Large-Scale Structure Systematics; IOP Publishing; Astrophysical Journal; 819; 9-2016; 50-66
0004-637X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/36602
identifier_str_mv Awan, Humna; Gawiser, Eric; Kurczynski, Peter; Lynne Jones, R.; Zhan, Hu; et al.; Testing LSST dither strategies for Survey Uniformity and Large-Scale Structure Systematics; IOP Publishing; Astrophysical Journal; 819; 9-2016; 50-66
0004-637X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3847/0004-637X/829/1/50
info:eu-repo/semantics/altIdentifier/url/http://iopscience.iop.org/article/10.3847/0004-637X/829/1/50/meta
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IOP Publishing
publisher.none.fl_str_mv IOP Publishing
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.069144

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