The VVV near-IR galaxy catalogue in a Northern part of the Galactic disc
- Autores
- Daza Perilla, Ingrid Vanessa; Sgró, Mario Agustín; Baravalle, Laura Daniela; Alonso, Maria Victoria; Villalón, Carolina Inés; Lares Harbin Latorre, Marcelo; Soto, Mario; Nilo Castellón, Jose Luis; Marchant Cortés, Pamela; Minniti, Dante; Hempel, Maren
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- conjunto de datos
- Estado
- Descripción
- The automated identification of extragalactic objects in large surveys provides reliable and reproducible samples of galaxies in less time than procedures involving human interaction. However, regions near the Galactic disc are more challenging due to the dust extinction. We present the methodology for the automatic classification of galaxies and non-galaxies at low Galactic latitude regions using both images and, photometric and morphological near-IR data from the VVVX survey. Using the VVV-NIRGC, we analyse by statistical methods the most relevant features for galaxy identification. This catalogue was used to train a CNN with image data and an XGBoost model with both photometric and morphological data and then to generate a dataset of extragalactic candidates. This allows us to derive probability catalogues used to analyse the completeness and purity as a function of the configuration parameters and to explore the best combinations of the models. As a test case, we apply this methodology to the Northern disc region of the VVVX survey, obtaining 172,396 extragalatic candidates with probabilities of being galaxies. We analyse the performance of our methodology in the VVV disc, reaching an F1-score of 0.67, a 65 per cent purity and a 69 per cent completeness. We present the VVV-NIR Galaxy Catalogue: Northern part of the Galactic disc comprising 1,003 new galaxies, with probabilities greater than 0.6 for either model, with visual inspection and with only 2 previously identified galaxies. In the future, we intend to apply this methodology to other areas of the VVVX survey.
Fil: Daza Perilla, Ingrid Vanessa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Sgró, Mario Agustín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Baravalle, Laura Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Alonso, Maria Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Villalón, Carolina Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Lares Harbin Latorre, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Soto, Mario. Universidad de Atacama.; Chile
Fil: Nilo Castellón, Jose Luis. Universidad de La Serena; Chile
Fil: Marchant Cortés, Pamela. Universidad de La Serena; Chile
Fil: Minniti, Dante. Universidad Andrés Bello; Chile
Fil: Hempel, Maren. Universidad Andrés Bello; Chile - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/203334
Ver los metadatos del registro completo
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The VVV near-IR galaxy catalogue in a Northern part of the Galactic discDaza Perilla, Ingrid VanessaSgró, Mario AgustínBaravalle, Laura DanielaAlonso, Maria VictoriaVillalón, Carolina InésLares Harbin Latorre, MarceloSoto, MarioNilo Castellón, Jose LuisMarchant Cortés, PamelaMinniti, DanteHempel, Marenhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The automated identification of extragalactic objects in large surveys provides reliable and reproducible samples of galaxies in less time than procedures involving human interaction. However, regions near the Galactic disc are more challenging due to the dust extinction. We present the methodology for the automatic classification of galaxies and non-galaxies at low Galactic latitude regions using both images and, photometric and morphological near-IR data from the VVVX survey. Using the VVV-NIRGC, we analyse by statistical methods the most relevant features for galaxy identification. This catalogue was used to train a CNN with image data and an XGBoost model with both photometric and morphological data and then to generate a dataset of extragalactic candidates. This allows us to derive probability catalogues used to analyse the completeness and purity as a function of the configuration parameters and to explore the best combinations of the models. As a test case, we apply this methodology to the Northern disc region of the VVVX survey, obtaining 172,396 extragalatic candidates with probabilities of being galaxies. We analyse the performance of our methodology in the VVV disc, reaching an F1-score of 0.67, a 65 per cent purity and a 69 per cent completeness. We present the VVV-NIR Galaxy Catalogue: Northern part of the Galactic disc comprising 1,003 new galaxies, with probabilities greater than 0.6 for either model, with visual inspection and with only 2 previously identified galaxies. In the future, we intend to apply this methodology to other areas of the VVVX survey.Fil: Daza Perilla, Ingrid Vanessa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Sgró, Mario Agustín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Baravalle, Laura Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Alonso, Maria Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Villalón, Carolina Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Lares Harbin Latorre, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Soto, Mario. Universidad de Atacama.; ChileFil: Nilo Castellón, Jose Luis. Universidad de La Serena; ChileFil: Marchant Cortés, Pamela. Universidad de La Serena; ChileFil: Minniti, Dante. Universidad Andrés Bello; ChileFil: Hempel, Maren. Universidad Andrés Bello; Chile2023info:ar-repo/semantics/conjuntoDeDatosv1.0info:eu-repo/semantics/dataSetapplication/octet-streamhttp://hdl.handle.net/11336/203334Daza Perilla, Ingrid Vanessa; Sgró, Mario Agustín; Baravalle, Laura Daniela; Alonso, Maria Victoria; Villalón, Carolina Inés; Lares Harbin Latorre, Marcelo; Soto, Mario; Nilo Castellón, Jose Luis; Marchant Cortés, Pamela; Minniti, Dante; Hempel, Maren; (2023): The VVV near-IR galaxy catalogue in a Northern part of the Galactic disc. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/203334CONICET DigitalCONICETenginfo:eu-repo/grantAgreement//info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:24:59Zoai:ri.conicet.gov.ar:11336/203334instacron: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 10:24:59.314CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
The VVV near-IR galaxy catalogue in a Northern part of the Galactic disc |
| title |
The VVV near-IR galaxy catalogue in a Northern part of the Galactic disc |
| spellingShingle |
The VVV near-IR galaxy catalogue in a Northern part of the Galactic disc Daza Perilla, Ingrid Vanessa |
| title_short |
The VVV near-IR galaxy catalogue in a Northern part of the Galactic disc |
| title_full |
The VVV near-IR galaxy catalogue in a Northern part of the Galactic disc |
| title_fullStr |
The VVV near-IR galaxy catalogue in a Northern part of the Galactic disc |
| title_full_unstemmed |
The VVV near-IR galaxy catalogue in a Northern part of the Galactic disc |
| title_sort |
The VVV near-IR galaxy catalogue in a Northern part of the Galactic disc |
| dc.creator.none.fl_str_mv |
Daza Perilla, Ingrid Vanessa Sgró, Mario Agustín Baravalle, Laura Daniela Alonso, Maria Victoria Villalón, Carolina Inés Lares Harbin Latorre, Marcelo Soto, Mario Nilo Castellón, Jose Luis Marchant Cortés, Pamela Minniti, Dante Hempel, Maren |
| author |
Daza Perilla, Ingrid Vanessa |
| author_facet |
Daza Perilla, Ingrid Vanessa Sgró, Mario Agustín Baravalle, Laura Daniela Alonso, Maria Victoria Villalón, Carolina Inés Lares Harbin Latorre, Marcelo Soto, Mario Nilo Castellón, Jose Luis Marchant Cortés, Pamela Minniti, Dante Hempel, Maren |
| author_role |
author |
| author2 |
Sgró, Mario Agustín Baravalle, Laura Daniela Alonso, Maria Victoria Villalón, Carolina Inés Lares Harbin Latorre, Marcelo Soto, Mario Nilo Castellón, Jose Luis Marchant Cortés, Pamela Minniti, Dante Hempel, Maren |
| author2_role |
author author author author author author author author author author |
| 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 automated identification of extragalactic objects in large surveys provides reliable and reproducible samples of galaxies in less time than procedures involving human interaction. However, regions near the Galactic disc are more challenging due to the dust extinction. We present the methodology for the automatic classification of galaxies and non-galaxies at low Galactic latitude regions using both images and, photometric and morphological near-IR data from the VVVX survey. Using the VVV-NIRGC, we analyse by statistical methods the most relevant features for galaxy identification. This catalogue was used to train a CNN with image data and an XGBoost model with both photometric and morphological data and then to generate a dataset of extragalactic candidates. This allows us to derive probability catalogues used to analyse the completeness and purity as a function of the configuration parameters and to explore the best combinations of the models. As a test case, we apply this methodology to the Northern disc region of the VVVX survey, obtaining 172,396 extragalatic candidates with probabilities of being galaxies. We analyse the performance of our methodology in the VVV disc, reaching an F1-score of 0.67, a 65 per cent purity and a 69 per cent completeness. We present the VVV-NIR Galaxy Catalogue: Northern part of the Galactic disc comprising 1,003 new galaxies, with probabilities greater than 0.6 for either model, with visual inspection and with only 2 previously identified galaxies. In the future, we intend to apply this methodology to other areas of the VVVX survey. Fil: Daza Perilla, Ingrid Vanessa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina Fil: Sgró, Mario Agustín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina Fil: Baravalle, Laura Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina Fil: Alonso, Maria Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina Fil: Villalón, Carolina Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina Fil: Lares Harbin Latorre, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina Fil: Soto, Mario. Universidad de Atacama.; Chile Fil: Nilo Castellón, Jose Luis. Universidad de La Serena; Chile Fil: Marchant Cortés, Pamela. Universidad de La Serena; Chile Fil: Minniti, Dante. Universidad Andrés Bello; Chile Fil: Hempel, Maren. Universidad Andrés Bello; Chile |
| description |
The automated identification of extragalactic objects in large surveys provides reliable and reproducible samples of galaxies in less time than procedures involving human interaction. However, regions near the Galactic disc are more challenging due to the dust extinction. We present the methodology for the automatic classification of galaxies and non-galaxies at low Galactic latitude regions using both images and, photometric and morphological near-IR data from the VVVX survey. Using the VVV-NIRGC, we analyse by statistical methods the most relevant features for galaxy identification. This catalogue was used to train a CNN with image data and an XGBoost model with both photometric and morphological data and then to generate a dataset of extragalactic candidates. This allows us to derive probability catalogues used to analyse the completeness and purity as a function of the configuration parameters and to explore the best combinations of the models. As a test case, we apply this methodology to the Northern disc region of the VVVX survey, obtaining 172,396 extragalatic candidates with probabilities of being galaxies. We analyse the performance of our methodology in the VVV disc, reaching an F1-score of 0.67, a 65 per cent purity and a 69 per cent completeness. We present the VVV-NIR Galaxy Catalogue: Northern part of the Galactic disc comprising 1,003 new galaxies, with probabilities greater than 0.6 for either model, with visual inspection and with only 2 previously identified galaxies. In the future, we intend to apply this methodology to other areas of the VVVX survey. |
| publishDate |
2023 |
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2023 |
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info:ar-repo/semantics/conjuntoDeDatos v1.0 info:eu-repo/semantics/dataSet |
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dataSet |
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http://hdl.handle.net/11336/203334 Daza Perilla, Ingrid Vanessa; Sgró, Mario Agustín; Baravalle, Laura Daniela; Alonso, Maria Victoria; Villalón, Carolina Inés; Lares Harbin Latorre, Marcelo; Soto, Mario; Nilo Castellón, Jose Luis; Marchant Cortés, Pamela; Minniti, Dante; Hempel, Maren; (2023): The VVV near-IR galaxy catalogue in a Northern part of the Galactic disc. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/203334 CONICET Digital CONICET |
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http://hdl.handle.net/11336/203334 |
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Daza Perilla, Ingrid Vanessa; Sgró, Mario Agustín; Baravalle, Laura Daniela; Alonso, Maria Victoria; Villalón, Carolina Inés; Lares Harbin Latorre, Marcelo; Soto, Mario; Nilo Castellón, Jose Luis; Marchant Cortés, Pamela; Minniti, Dante; Hempel, Maren; (2023): The VVV near-IR galaxy catalogue in a Northern part of the Galactic disc. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/203334 CONICET Digital CONICET |
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eng |
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