The Open Universe survey of Swift-XRT GRB fields : A complete sample of HBL blazars

Autores
Giommi, P.; Chang, Y. L.; Turriziani, S.; Glauch, T.; Leto, C.; Verrecchia, F.; Padovani, P.; Penacchioni, Ana Virginia; Arneodo, F.; Barres de Almeida, U.; Brandt, C. H.; Capalbi, M.; Civitarese, Enrique Osvaldo; D’Elia, V.; Di Giovanni, A.; De Angelis, M.; Del Rio Vera, J.; Di Pippo, S.; Middei, R.; Perri, M.; Pollock, A. M. T.; Puccetti, S.; Ricard, N.; Ruffini, R.; Sahakyan, N.
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Aims. The sample of serendipitous sources detected in all Swift-XRT images pointing at gamma ray bursts (GRBs) constitutes the largest existing medium-deep survey of the X-ray sky. To build such dataset we analysed all Swift X-ray images centred on GRBs and observed over a period of 15 years using automatic tools that do not require any expertise in X-ray astronomy. Besides presenting a new large X-ray survey and a complete sample of blazars, this work aims to be a step in the direction of achieving the ultimate goal of the Open Universe Initiative, which is to enable non-expert people to benefit fully from space science data, possibly extending the potential for scientific discovery, which is currently confined within a small number of highly specialised teams, to a much larger population. Methods. We used the Swift_deepsky Docker container encapsulated pipeline to build the largest existing flux-limited and unbiased sample of serendipitous X-ray sources. Swift_deepsky runs on any laptop or desktop computer with a modern operating system. The tool automatically downloads the data and the calibration files from the archives, runs the official Swift analysis software, and produces a number of results including images, the list of detected sources, X-ray fluxes, spectral energy distribution data, and spectral slope estimations. Results. We used our source list to build the LogN-LogS of extra-galactic sources, which perfectly matches that estimated by other satellites. Combining our survey with multi-frequency data, we selected a complete radio-flux-density-limited sample of high energy peaked blazars (HBL). The LogN-LogS built with this data set confirms that previous samples are incomplete below ∼20 mJy
Instituto de Física La Plata
Materia
Ciencias Exactas
Física
surveys
methods: data analysis
galaxies: active
X-rays: galaxies
catalogs
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/124922

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network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling The Open Universe survey of Swift-XRT GRB fields : A complete sample of HBL blazarsGiommi, P.Chang, Y. L.Turriziani, S.Glauch, T.Leto, C.Verrecchia, F.Padovani, P.Penacchioni, Ana VirginiaArneodo, F.Barres de Almeida, U.Brandt, C. H.Capalbi, M.Civitarese, Enrique OsvaldoD’Elia, V.Di Giovanni, A.De Angelis, M.Del Rio Vera, J.Di Pippo, S.Middei, R.Perri, M.Pollock, A. M. T.Puccetti, S.Ricard, N.Ruffini, R.Sahakyan, N.Ciencias ExactasFísicasurveysmethods: data analysisgalaxies: activeX-rays: galaxiescatalogs<i>Aims</i>. The sample of serendipitous sources detected in all Swift-XRT images pointing at gamma ray bursts (GRBs) constitutes the largest existing medium-deep survey of the X-ray sky. To build such dataset we analysed all Swift X-ray images centred on GRBs and observed over a period of 15 years using automatic tools that do not require any expertise in X-ray astronomy. Besides presenting a new large X-ray survey and a complete sample of blazars, this work aims to be a step in the direction of achieving the ultimate goal of the Open Universe Initiative, which is to enable non-expert people to benefit fully from space science data, possibly extending the potential for scientific discovery, which is currently confined within a small number of highly specialised teams, to a much larger population. <i>Methods</i>. We used the Swift_deepsky Docker container encapsulated pipeline to build the largest existing flux-limited and unbiased sample of serendipitous X-ray sources. Swift_deepsky runs on any laptop or desktop computer with a modern operating system. The tool automatically downloads the data and the calibration files from the archives, runs the official Swift analysis software, and produces a number of results including images, the list of detected sources, X-ray fluxes, spectral energy distribution data, and spectral slope estimations. <i>Results</i>. We used our source list to build the LogN-LogS of extra-galactic sources, which perfectly matches that estimated by other satellites. Combining our survey with multi-frequency data, we selected a complete radio-flux-density-limited sample of high energy peaked blazars (HBL). The LogN-LogS built with this data set confirms that previous samples are incomplete below ∼20 mJyInstituto de Física La Plata2020-10-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/124922enginfo:eu-repo/semantics/altIdentifier/issn/0004-6361info:eu-repo/semantics/altIdentifier/issn/1432-0746info:eu-repo/semantics/altIdentifier/arxiv/2003.05153info:eu-repo/semantics/altIdentifier/doi/10.1051/0004-6361/202037921info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:29:54Zoai:sedici.unlp.edu.ar:10915/124922Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:29:54.44SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv The Open Universe survey of Swift-XRT GRB fields : A complete sample of HBL blazars
title The Open Universe survey of Swift-XRT GRB fields : A complete sample of HBL blazars
spellingShingle The Open Universe survey of Swift-XRT GRB fields : A complete sample of HBL blazars
Giommi, P.
Ciencias Exactas
Física
surveys
methods: data analysis
galaxies: active
X-rays: galaxies
catalogs
title_short The Open Universe survey of Swift-XRT GRB fields : A complete sample of HBL blazars
title_full The Open Universe survey of Swift-XRT GRB fields : A complete sample of HBL blazars
title_fullStr The Open Universe survey of Swift-XRT GRB fields : A complete sample of HBL blazars
title_full_unstemmed The Open Universe survey of Swift-XRT GRB fields : A complete sample of HBL blazars
title_sort The Open Universe survey of Swift-XRT GRB fields : A complete sample of HBL blazars
dc.creator.none.fl_str_mv Giommi, P.
Chang, Y. L.
Turriziani, S.
Glauch, T.
Leto, C.
Verrecchia, F.
Padovani, P.
Penacchioni, Ana Virginia
Arneodo, F.
Barres de Almeida, U.
Brandt, C. H.
Capalbi, M.
Civitarese, Enrique Osvaldo
D’Elia, V.
Di Giovanni, A.
De Angelis, M.
Del Rio Vera, J.
Di Pippo, S.
Middei, R.
Perri, M.
Pollock, A. M. T.
Puccetti, S.
Ricard, N.
Ruffini, R.
Sahakyan, N.
author Giommi, P.
author_facet Giommi, P.
Chang, Y. L.
Turriziani, S.
Glauch, T.
Leto, C.
Verrecchia, F.
Padovani, P.
Penacchioni, Ana Virginia
Arneodo, F.
Barres de Almeida, U.
Brandt, C. H.
Capalbi, M.
Civitarese, Enrique Osvaldo
D’Elia, V.
Di Giovanni, A.
De Angelis, M.
Del Rio Vera, J.
Di Pippo, S.
Middei, R.
Perri, M.
Pollock, A. M. T.
Puccetti, S.
Ricard, N.
Ruffini, R.
Sahakyan, N.
author_role author
author2 Chang, Y. L.
Turriziani, S.
Glauch, T.
Leto, C.
Verrecchia, F.
Padovani, P.
Penacchioni, Ana Virginia
Arneodo, F.
Barres de Almeida, U.
Brandt, C. H.
Capalbi, M.
Civitarese, Enrique Osvaldo
D’Elia, V.
Di Giovanni, A.
De Angelis, M.
Del Rio Vera, J.
Di Pippo, S.
Middei, R.
Perri, M.
Pollock, A. M. T.
Puccetti, S.
Ricard, N.
Ruffini, R.
Sahakyan, N.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Exactas
Física
surveys
methods: data analysis
galaxies: active
X-rays: galaxies
catalogs
topic Ciencias Exactas
Física
surveys
methods: data analysis
galaxies: active
X-rays: galaxies
catalogs
dc.description.none.fl_txt_mv <i>Aims</i>. The sample of serendipitous sources detected in all Swift-XRT images pointing at gamma ray bursts (GRBs) constitutes the largest existing medium-deep survey of the X-ray sky. To build such dataset we analysed all Swift X-ray images centred on GRBs and observed over a period of 15 years using automatic tools that do not require any expertise in X-ray astronomy. Besides presenting a new large X-ray survey and a complete sample of blazars, this work aims to be a step in the direction of achieving the ultimate goal of the Open Universe Initiative, which is to enable non-expert people to benefit fully from space science data, possibly extending the potential for scientific discovery, which is currently confined within a small number of highly specialised teams, to a much larger population. <i>Methods</i>. We used the Swift_deepsky Docker container encapsulated pipeline to build the largest existing flux-limited and unbiased sample of serendipitous X-ray sources. Swift_deepsky runs on any laptop or desktop computer with a modern operating system. The tool automatically downloads the data and the calibration files from the archives, runs the official Swift analysis software, and produces a number of results including images, the list of detected sources, X-ray fluxes, spectral energy distribution data, and spectral slope estimations. <i>Results</i>. We used our source list to build the LogN-LogS of extra-galactic sources, which perfectly matches that estimated by other satellites. Combining our survey with multi-frequency data, we selected a complete radio-flux-density-limited sample of high energy peaked blazars (HBL). The LogN-LogS built with this data set confirms that previous samples are incomplete below ∼20 mJy
Instituto de Física La Plata
description <i>Aims</i>. The sample of serendipitous sources detected in all Swift-XRT images pointing at gamma ray bursts (GRBs) constitutes the largest existing medium-deep survey of the X-ray sky. To build such dataset we analysed all Swift X-ray images centred on GRBs and observed over a period of 15 years using automatic tools that do not require any expertise in X-ray astronomy. Besides presenting a new large X-ray survey and a complete sample of blazars, this work aims to be a step in the direction of achieving the ultimate goal of the Open Universe Initiative, which is to enable non-expert people to benefit fully from space science data, possibly extending the potential for scientific discovery, which is currently confined within a small number of highly specialised teams, to a much larger population. <i>Methods</i>. We used the Swift_deepsky Docker container encapsulated pipeline to build the largest existing flux-limited and unbiased sample of serendipitous X-ray sources. Swift_deepsky runs on any laptop or desktop computer with a modern operating system. The tool automatically downloads the data and the calibration files from the archives, runs the official Swift analysis software, and produces a number of results including images, the list of detected sources, X-ray fluxes, spectral energy distribution data, and spectral slope estimations. <i>Results</i>. We used our source list to build the LogN-LogS of extra-galactic sources, which perfectly matches that estimated by other satellites. Combining our survey with multi-frequency data, we selected a complete radio-flux-density-limited sample of high energy peaked blazars (HBL). The LogN-LogS built with this data set confirms that previous samples are incomplete below ∼20 mJy
publishDate 2020
dc.date.none.fl_str_mv 2020-10-13
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/124922
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dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/0004-6361
info:eu-repo/semantics/altIdentifier/issn/1432-0746
info:eu-repo/semantics/altIdentifier/arxiv/2003.05153
info:eu-repo/semantics/altIdentifier/doi/10.1051/0004-6361/202037921
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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