Classification of Chandra X-Ray Sources in Cygnus OB2
- Autores
- Kashyap, Vinay L.; Guarcello, Mario G.; Wright, Nicholas J.; Drake, Jeremy J.; Flaccomio, Ettore; Aldcroft, Tom L.; Albacete Colombo, Juan Facundo; Briggs, Kevin; Damiani, Francesco; Drew, Janet E.; Martin, Eduardo L.; Giusi, Micela; Naylor, Tim; Sciortino, Salvatore
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- We have devised a predominantly Naive Bayes−based method to classify X-ray sources detected by Chandra in the Cygnus OB2 association into members, foreground objects, and background objects. We employ a variety of X-ray, optical, and infrared characteristics to construct likelihoods using training sets defined by well-measured sources. Combinations of optical photometry from the Sloan Digital Sky Survey (riz) and Isaac Newton Telescope Photometric Hα Survey (rIiIHα), infrared magnitudes from United Kingdom Infrared Telescope Deep Sky Survey and Two-Micron All Sky Survey (JHK ), X-ray quantiles and hardness ratios, and estimates of extinction Av are used to compute the relative probabilities that a given source belongs to one of the classes. Principal component analysis is used to isolate the best axes for separating the classes for the photometric data, and Gaussian component separation is used for X-ray hardness and extinction. Errors in the measurements are accounted for by modeling as Gaussians and integrating over likelihoods approximated as quartic polynomials. We evaluate the accuracy of the classification by inspection and reclassify a number of sources based on infrared magnitudes, the presence of disks, and spectral hardness induced by flaring. We also consider systematic errors due to extinction. Of the 7924 X-ray detections, 5501 have a total of 5597 optical/infrared matches, including 78 with multiple counterparts. We find that ≈6100 objects are likely association members, ≈1400 are background objects, and ≈500 are foreground objects, with an accuracy of 96%, 93%, and 80%, respectively, with an overall classification accuracy of approximately 95%.
Fil: Kashyap, Vinay L.. Harvard-Smithsonian Center for Astrophysics; Estados Unidos
Fil: Guarcello, Mario G.. Istituto Nazionale di Astrofísica. Osservatorio Astronómico di Palermo; Italia
Fil: Wright, Nicholas J.. Keele University.; Reino Unido
Fil: Drake, Jeremy J.. Harvard-Smithsonian Center for Astrophysics; Estados Unidos
Fil: Flaccomio, Ettore. Istituto Nazionale di Astrofísica. Osservatorio Astronómico di Palermo; Italia
Fil: Aldcroft, Tom L.. Harvard-Smithsonian Center for Astrophysics; Estados Unidos
Fil: Albacete Colombo, Juan Facundo. Universidad Nacional de Rio Negro. Sede Atlantica. Departamento de Investigación en Ciencias Exactas, Naturales y de Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Confluencia; Argentina
Fil: Briggs, Kevin. Keele University.; Reino Unido
Fil: Damiani, Francesco. Istituto Nazionale di Astrofísica. Osservatorio Astronómico di Palermo; Italia
Fil: Drew, Janet E.. Harvard-Smithsonian Center for Astrophysics; Estados Unidos
Fil: Martin, Eduardo L.. No especifíca;
Fil: Giusi, Micela. Istituto Nazionale di Astrofísica. Osservatorio Astronómico di Palermo; Italia
Fil: Naylor, Tim. University of Exeter; Reino Unido
Fil: Sciortino, Salvatore. Istituto Nazionale di Astrofísica. Osservatorio Astronómico di Palermo; Italia - Materia
-
Star forming regions
Catalogs
Astrostatistics
Open star clusters
OB associations
X-ray stars
Standart stars - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/232445
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Classification of Chandra X-Ray Sources in Cygnus OB2Kashyap, Vinay L.Guarcello, Mario G.Wright, Nicholas J.Drake, Jeremy J.Flaccomio, EttoreAldcroft, Tom L.Albacete Colombo, Juan FacundoBriggs, KevinDamiani, FrancescoDrew, Janet E.Martin, Eduardo L.Giusi, MicelaNaylor, TimSciortino, SalvatoreStar forming regionsCatalogsAstrostatisticsOpen star clustersOB associationsX-ray starsStandart starshttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1We have devised a predominantly Naive Bayes−based method to classify X-ray sources detected by Chandra in the Cygnus OB2 association into members, foreground objects, and background objects. We employ a variety of X-ray, optical, and infrared characteristics to construct likelihoods using training sets defined by well-measured sources. Combinations of optical photometry from the Sloan Digital Sky Survey (riz) and Isaac Newton Telescope Photometric Hα Survey (rIiIHα), infrared magnitudes from United Kingdom Infrared Telescope Deep Sky Survey and Two-Micron All Sky Survey (JHK ), X-ray quantiles and hardness ratios, and estimates of extinction Av are used to compute the relative probabilities that a given source belongs to one of the classes. Principal component analysis is used to isolate the best axes for separating the classes for the photometric data, and Gaussian component separation is used for X-ray hardness and extinction. Errors in the measurements are accounted for by modeling as Gaussians and integrating over likelihoods approximated as quartic polynomials. We evaluate the accuracy of the classification by inspection and reclassify a number of sources based on infrared magnitudes, the presence of disks, and spectral hardness induced by flaring. We also consider systematic errors due to extinction. Of the 7924 X-ray detections, 5501 have a total of 5597 optical/infrared matches, including 78 with multiple counterparts. We find that ≈6100 objects are likely association members, ≈1400 are background objects, and ≈500 are foreground objects, with an accuracy of 96%, 93%, and 80%, respectively, with an overall classification accuracy of approximately 95%.Fil: Kashyap, Vinay L.. Harvard-Smithsonian Center for Astrophysics; Estados UnidosFil: Guarcello, Mario G.. Istituto Nazionale di Astrofísica. Osservatorio Astronómico di Palermo; ItaliaFil: Wright, Nicholas J.. Keele University.; Reino UnidoFil: Drake, Jeremy J.. Harvard-Smithsonian Center for Astrophysics; Estados UnidosFil: Flaccomio, Ettore. Istituto Nazionale di Astrofísica. Osservatorio Astronómico di Palermo; ItaliaFil: Aldcroft, Tom L.. Harvard-Smithsonian Center for Astrophysics; Estados UnidosFil: Albacete Colombo, Juan Facundo. Universidad Nacional de Rio Negro. Sede Atlantica. Departamento de Investigación en Ciencias Exactas, Naturales y de Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Confluencia; ArgentinaFil: Briggs, Kevin. Keele University.; Reino UnidoFil: Damiani, Francesco. Istituto Nazionale di Astrofísica. Osservatorio Astronómico di Palermo; ItaliaFil: Drew, Janet E.. Harvard-Smithsonian Center for Astrophysics; Estados UnidosFil: Martin, Eduardo L.. No especifíca;Fil: Giusi, Micela. Istituto Nazionale di Astrofísica. Osservatorio Astronómico di Palermo; ItaliaFil: Naylor, Tim. University of Exeter; Reino UnidoFil: Sciortino, Salvatore. Istituto Nazionale di Astrofísica. Osservatorio Astronómico di Palermo; ItaliaIOP Publishing2023-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/232445Kashyap, Vinay L.; Guarcello, Mario G.; Wright, Nicholas J.; Drake, Jeremy J.; Flaccomio, Ettore; et al.; Classification of Chandra X-Ray Sources in Cygnus OB2; IOP Publishing; Astrophysical Journal Supplement Series; 269; 1; 10-2023; 1-220067-0049CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://doi.org/10.3847/1538-4365/acdd68info:eu-repo/semantics/altIdentifier/doi/10.3847/1538-4365/acdd68info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:38:49Zoai:ri.conicet.gov.ar:11336/232445instacron: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 10:38:49.217CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Classification of Chandra X-Ray Sources in Cygnus OB2 |
title |
Classification of Chandra X-Ray Sources in Cygnus OB2 |
spellingShingle |
Classification of Chandra X-Ray Sources in Cygnus OB2 Kashyap, Vinay L. Star forming regions Catalogs Astrostatistics Open star clusters OB associations X-ray stars Standart stars |
title_short |
Classification of Chandra X-Ray Sources in Cygnus OB2 |
title_full |
Classification of Chandra X-Ray Sources in Cygnus OB2 |
title_fullStr |
Classification of Chandra X-Ray Sources in Cygnus OB2 |
title_full_unstemmed |
Classification of Chandra X-Ray Sources in Cygnus OB2 |
title_sort |
Classification of Chandra X-Ray Sources in Cygnus OB2 |
dc.creator.none.fl_str_mv |
Kashyap, Vinay L. Guarcello, Mario G. Wright, Nicholas J. Drake, Jeremy J. Flaccomio, Ettore Aldcroft, Tom L. Albacete Colombo, Juan Facundo Briggs, Kevin Damiani, Francesco Drew, Janet E. Martin, Eduardo L. Giusi, Micela Naylor, Tim Sciortino, Salvatore |
author |
Kashyap, Vinay L. |
author_facet |
Kashyap, Vinay L. Guarcello, Mario G. Wright, Nicholas J. Drake, Jeremy J. Flaccomio, Ettore Aldcroft, Tom L. Albacete Colombo, Juan Facundo Briggs, Kevin Damiani, Francesco Drew, Janet E. Martin, Eduardo L. Giusi, Micela Naylor, Tim Sciortino, Salvatore |
author_role |
author |
author2 |
Guarcello, Mario G. Wright, Nicholas J. Drake, Jeremy J. Flaccomio, Ettore Aldcroft, Tom L. Albacete Colombo, Juan Facundo Briggs, Kevin Damiani, Francesco Drew, Janet E. Martin, Eduardo L. Giusi, Micela Naylor, Tim Sciortino, Salvatore |
author2_role |
author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
Star forming regions Catalogs Astrostatistics Open star clusters OB associations X-ray stars Standart stars |
topic |
Star forming regions Catalogs Astrostatistics Open star clusters OB associations X-ray stars Standart stars |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
We have devised a predominantly Naive Bayes−based method to classify X-ray sources detected by Chandra in the Cygnus OB2 association into members, foreground objects, and background objects. We employ a variety of X-ray, optical, and infrared characteristics to construct likelihoods using training sets defined by well-measured sources. Combinations of optical photometry from the Sloan Digital Sky Survey (riz) and Isaac Newton Telescope Photometric Hα Survey (rIiIHα), infrared magnitudes from United Kingdom Infrared Telescope Deep Sky Survey and Two-Micron All Sky Survey (JHK ), X-ray quantiles and hardness ratios, and estimates of extinction Av are used to compute the relative probabilities that a given source belongs to one of the classes. Principal component analysis is used to isolate the best axes for separating the classes for the photometric data, and Gaussian component separation is used for X-ray hardness and extinction. Errors in the measurements are accounted for by modeling as Gaussians and integrating over likelihoods approximated as quartic polynomials. We evaluate the accuracy of the classification by inspection and reclassify a number of sources based on infrared magnitudes, the presence of disks, and spectral hardness induced by flaring. We also consider systematic errors due to extinction. Of the 7924 X-ray detections, 5501 have a total of 5597 optical/infrared matches, including 78 with multiple counterparts. We find that ≈6100 objects are likely association members, ≈1400 are background objects, and ≈500 are foreground objects, with an accuracy of 96%, 93%, and 80%, respectively, with an overall classification accuracy of approximately 95%. Fil: Kashyap, Vinay L.. Harvard-Smithsonian Center for Astrophysics; Estados Unidos Fil: Guarcello, Mario G.. Istituto Nazionale di Astrofísica. Osservatorio Astronómico di Palermo; Italia Fil: Wright, Nicholas J.. Keele University.; Reino Unido Fil: Drake, Jeremy J.. Harvard-Smithsonian Center for Astrophysics; Estados Unidos Fil: Flaccomio, Ettore. Istituto Nazionale di Astrofísica. Osservatorio Astronómico di Palermo; Italia Fil: Aldcroft, Tom L.. Harvard-Smithsonian Center for Astrophysics; Estados Unidos Fil: Albacete Colombo, Juan Facundo. Universidad Nacional de Rio Negro. Sede Atlantica. Departamento de Investigación en Ciencias Exactas, Naturales y de Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Confluencia; Argentina Fil: Briggs, Kevin. Keele University.; Reino Unido Fil: Damiani, Francesco. Istituto Nazionale di Astrofísica. Osservatorio Astronómico di Palermo; Italia Fil: Drew, Janet E.. Harvard-Smithsonian Center for Astrophysics; Estados Unidos Fil: Martin, Eduardo L.. No especifíca; Fil: Giusi, Micela. Istituto Nazionale di Astrofísica. Osservatorio Astronómico di Palermo; Italia Fil: Naylor, Tim. University of Exeter; Reino Unido Fil: Sciortino, Salvatore. Istituto Nazionale di Astrofísica. Osservatorio Astronómico di Palermo; Italia |
description |
We have devised a predominantly Naive Bayes−based method to classify X-ray sources detected by Chandra in the Cygnus OB2 association into members, foreground objects, and background objects. We employ a variety of X-ray, optical, and infrared characteristics to construct likelihoods using training sets defined by well-measured sources. Combinations of optical photometry from the Sloan Digital Sky Survey (riz) and Isaac Newton Telescope Photometric Hα Survey (rIiIHα), infrared magnitudes from United Kingdom Infrared Telescope Deep Sky Survey and Two-Micron All Sky Survey (JHK ), X-ray quantiles and hardness ratios, and estimates of extinction Av are used to compute the relative probabilities that a given source belongs to one of the classes. Principal component analysis is used to isolate the best axes for separating the classes for the photometric data, and Gaussian component separation is used for X-ray hardness and extinction. Errors in the measurements are accounted for by modeling as Gaussians and integrating over likelihoods approximated as quartic polynomials. We evaluate the accuracy of the classification by inspection and reclassify a number of sources based on infrared magnitudes, the presence of disks, and spectral hardness induced by flaring. We also consider systematic errors due to extinction. Of the 7924 X-ray detections, 5501 have a total of 5597 optical/infrared matches, including 78 with multiple counterparts. We find that ≈6100 objects are likely association members, ≈1400 are background objects, and ≈500 are foreground objects, with an accuracy of 96%, 93%, and 80%, respectively, with an overall classification accuracy of approximately 95%. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-10 |
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/11336/232445 Kashyap, Vinay L.; Guarcello, Mario G.; Wright, Nicholas J.; Drake, Jeremy J.; Flaccomio, Ettore; et al.; Classification of Chandra X-Ray Sources in Cygnus OB2; IOP Publishing; Astrophysical Journal Supplement Series; 269; 1; 10-2023; 1-22 0067-0049 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/232445 |
identifier_str_mv |
Kashyap, Vinay L.; Guarcello, Mario G.; Wright, Nicholas J.; Drake, Jeremy J.; Flaccomio, Ettore; et al.; Classification of Chandra X-Ray Sources in Cygnus OB2; IOP Publishing; Astrophysical Journal Supplement Series; 269; 1; 10-2023; 1-22 0067-0049 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://doi.org/10.3847/1538-4365/acdd68 info:eu-repo/semantics/altIdentifier/doi/10.3847/1538-4365/acdd68 |
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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13.070432 |