A simple prescription for simulating and characterizing gravitational arcs
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/99091 |
Resumo: | Simple models of gravitational arcs are crucial for simulating large samples of these objects with full control of the input parameters. These models also provide approximate and automated estimates of the shape and structure of the arcs, which are necessary for detecting and characterizing these objects on massive wide-area imaging surveys. We here present and explore the ArcEllipse, a simple prescription for creating objects with a shape similar to gravitational arcs. We also present PaintArcs, which is a code that couples this geometrical form with a brightness distribution and adds the resulting object to images. Finally, we introduce ArcFitting, which is a tool that fits ArcEllipses to images of real gravitational arcs.We validate this fitting technique using simulated arcs and apply it to CFHTLS and HST images of tangential arcs around clusters of galaxies. Our simple ArcEllipse model for the arc, associated to a Sérsic profile for the source, recovers the total signal in real images typically within 10%−30%. The ArcEllipse+Sérsic models also automatically recover visual estimates of length-to-width ratios of real arcs. Residual maps between data and model images reveal the incidence of arc substructure. They may thus be used as a diagnostic for arcs formed by the merging of multiple images. The incidence of these substructures is the main factor that prevents ArcEllipse models from accurately describing real lensed systems. |
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Furlanetto, CristinaSantiago, Basilio XavierMakler, MartínDe Bom, Clécio RoqueBrandt, Carlos HenriqueFausti Neto, AngeloFerreira, Pedro da CunhaCosta, Luiz N. daMaia, Marcio Antonio Geimba2014-08-05T02:07:36Z20130004-6361http://hdl.handle.net/10183/99091000919795Simple models of gravitational arcs are crucial for simulating large samples of these objects with full control of the input parameters. These models also provide approximate and automated estimates of the shape and structure of the arcs, which are necessary for detecting and characterizing these objects on massive wide-area imaging surveys. We here present and explore the ArcEllipse, a simple prescription for creating objects with a shape similar to gravitational arcs. We also present PaintArcs, which is a code that couples this geometrical form with a brightness distribution and adds the resulting object to images. Finally, we introduce ArcFitting, which is a tool that fits ArcEllipses to images of real gravitational arcs.We validate this fitting technique using simulated arcs and apply it to CFHTLS and HST images of tangential arcs around clusters of galaxies. Our simple ArcEllipse model for the arc, associated to a Sérsic profile for the source, recovers the total signal in real images typically within 10%−30%. The ArcEllipse+Sérsic models also automatically recover visual estimates of length-to-width ratios of real arcs. Residual maps between data and model images reveal the incidence of arc substructure. They may thus be used as a diagnostic for arcs formed by the merging of multiple images. The incidence of these substructures is the main factor that prevents ArcEllipse models from accurately describing real lensed systems.application/pdfengAstronomy and astrophysics. Les Ulis. Vol. 549 (Jan. 2013), A80, 12 p.Lentes gravitacionaisAglomerados de galaxiasTecnicas astronomicasGravitational lensing: strongMethods: analyticalA simple prescription for simulating and characterizing gravitational arcsEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL000919795.pdf000919795.pdfTexto completo (inglês)application/pdf900013http://www.lume.ufrgs.br/bitstream/10183/99091/1/000919795.pdf5c7d32ff4a0bab8e1952692f64649725MD51TEXT000919795.pdf.txt000919795.pdf.txtExtracted Texttext/plain54285http://www.lume.ufrgs.br/bitstream/10183/99091/2/000919795.pdf.txt87a7d167b5889fb1803a177ca690acb5MD52THUMBNAIL000919795.pdf.jpg000919795.pdf.jpgGenerated Thumbnailimage/jpeg2016http://www.lume.ufrgs.br/bitstream/10183/99091/3/000919795.pdf.jpgc4a8ea0f4ca8620d18dfc1ae1cf84d39MD5310183/990912023-06-16 03:31:55.468442oai:www.lume.ufrgs.br:10183/99091Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-06-16T06:31:55Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
A simple prescription for simulating and characterizing gravitational arcs |
title |
A simple prescription for simulating and characterizing gravitational arcs |
spellingShingle |
A simple prescription for simulating and characterizing gravitational arcs Furlanetto, Cristina Lentes gravitacionais Aglomerados de galaxias Tecnicas astronomicas Gravitational lensing: strong Methods: analytical |
title_short |
A simple prescription for simulating and characterizing gravitational arcs |
title_full |
A simple prescription for simulating and characterizing gravitational arcs |
title_fullStr |
A simple prescription for simulating and characterizing gravitational arcs |
title_full_unstemmed |
A simple prescription for simulating and characterizing gravitational arcs |
title_sort |
A simple prescription for simulating and characterizing gravitational arcs |
author |
Furlanetto, Cristina |
author_facet |
Furlanetto, Cristina Santiago, Basilio Xavier Makler, Martín De Bom, Clécio Roque Brandt, Carlos Henrique Fausti Neto, Angelo Ferreira, Pedro da Cunha Costa, Luiz N. da Maia, Marcio Antonio Geimba |
author_role |
author |
author2 |
Santiago, Basilio Xavier Makler, Martín De Bom, Clécio Roque Brandt, Carlos Henrique Fausti Neto, Angelo Ferreira, Pedro da Cunha Costa, Luiz N. da Maia, Marcio Antonio Geimba |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Furlanetto, Cristina Santiago, Basilio Xavier Makler, Martín De Bom, Clécio Roque Brandt, Carlos Henrique Fausti Neto, Angelo Ferreira, Pedro da Cunha Costa, Luiz N. da Maia, Marcio Antonio Geimba |
dc.subject.por.fl_str_mv |
Lentes gravitacionais Aglomerados de galaxias Tecnicas astronomicas |
topic |
Lentes gravitacionais Aglomerados de galaxias Tecnicas astronomicas Gravitational lensing: strong Methods: analytical |
dc.subject.eng.fl_str_mv |
Gravitational lensing: strong Methods: analytical |
description |
Simple models of gravitational arcs are crucial for simulating large samples of these objects with full control of the input parameters. These models also provide approximate and automated estimates of the shape and structure of the arcs, which are necessary for detecting and characterizing these objects on massive wide-area imaging surveys. We here present and explore the ArcEllipse, a simple prescription for creating objects with a shape similar to gravitational arcs. We also present PaintArcs, which is a code that couples this geometrical form with a brightness distribution and adds the resulting object to images. Finally, we introduce ArcFitting, which is a tool that fits ArcEllipses to images of real gravitational arcs.We validate this fitting technique using simulated arcs and apply it to CFHTLS and HST images of tangential arcs around clusters of galaxies. Our simple ArcEllipse model for the arc, associated to a Sérsic profile for the source, recovers the total signal in real images typically within 10%−30%. The ArcEllipse+Sérsic models also automatically recover visual estimates of length-to-width ratios of real arcs. Residual maps between data and model images reveal the incidence of arc substructure. They may thus be used as a diagnostic for arcs formed by the merging of multiple images. The incidence of these substructures is the main factor that prevents ArcEllipse models from accurately describing real lensed systems. |
publishDate |
2013 |
dc.date.issued.fl_str_mv |
2013 |
dc.date.accessioned.fl_str_mv |
2014-08-05T02:07:36Z |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
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000919795 |
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http://hdl.handle.net/10183/99091 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Astronomy and astrophysics. Les Ulis. Vol. 549 (Jan. 2013), A80, 12 p. |
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info:eu-repo/semantics/openAccess |
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openAccess |
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