The TOROS data reduction pipeline

The TOROS project (Transient Optical Robotic Observatory of the South) aims at searching for optical transient events associated to gravitational waves. The search and follow-up of such events require processing a large volume of imaging data. We automated the process by implementing a dedicated pip...

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Detalles Bibliográficos
Autores principales: Daza, I., Lares, M., Sánchez, B., Cabral, Juan Bautista, Beroiz, M., Domínguez, M.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2021
Materias:
Ciencias Astronómicas
gravitational waves
techniques: image processing
methods: statistical
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/177573
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-177573
record_format dspace
spelling I19-R120-10915-1775732025-03-20T20:05:09Z http://sedici.unlp.edu.ar/handle/10915/177573 The TOROS data reduction pipeline Daza, I. Lares, M. Sánchez, B. Cabral, Juan Bautista Beroiz, M. Domínguez, M. 2021 2025-03-20T17:26:19Z en Ciencias Astronómicas gravitational waves techniques: image processing methods: statistical The TOROS project (Transient Optical Robotic Observatory of the South) aims at searching for optical transient events associated to gravitational waves. The search and follow-up of such events require processing a large volume of imaging data. We automated the process by implementing a dedicated pipeline capable of analyzing the raw input images and producing the photometry for transient candidates. This pipeline is robust to data loss or connectivity interruptions during the candidate selection process. Here we present the model and implementation of the TOROS pipeline, the technologies involved in its development and future prospects. El proyecto TOROS (Transient Optical Robotic Observatory of the South) tiene como objetivo la búsqueda en el óptico de eventos transitorios asociados a ondas gravitacionales. La búsqueda y el seguimiento de esos eventos requieren del procesamiento de un gran volumen de datos de imágenes. Automatizamos el proceso implementando una tubería capaz de analizar la entrada bruta y producir la fotometría para los candidatos transitorios. Esta tubería es robusta a la pérdida de datos o a las interrupciones de conectividad durante el proceso de selección de candidatos. Aquí presentamos el modelo y la aplicación de la tubería de TOROS, las tecnologías que intervienen en su desarrollo y perspectivas de futuro. Asociación Argentina de Astronomía Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 286-288
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Astronómicas
gravitational waves
techniques: image processing
methods: statistical
spellingShingle Ciencias Astronómicas
gravitational waves
techniques: image processing
methods: statistical
Daza, I.
Lares, M.
Sánchez, B.
Cabral, Juan Bautista
Beroiz, M.
Domínguez, M.
The TOROS data reduction pipeline
topic_facet Ciencias Astronómicas
gravitational waves
techniques: image processing
methods: statistical
description The TOROS project (Transient Optical Robotic Observatory of the South) aims at searching for optical transient events associated to gravitational waves. The search and follow-up of such events require processing a large volume of imaging data. We automated the process by implementing a dedicated pipeline capable of analyzing the raw input images and producing the photometry for transient candidates. This pipeline is robust to data loss or connectivity interruptions during the candidate selection process. Here we present the model and implementation of the TOROS pipeline, the technologies involved in its development and future prospects.
format Articulo
Articulo
author Daza, I.
Lares, M.
Sánchez, B.
Cabral, Juan Bautista
Beroiz, M.
Domínguez, M.
author_facet Daza, I.
Lares, M.
Sánchez, B.
Cabral, Juan Bautista
Beroiz, M.
Domínguez, M.
author_sort Daza, I.
title The TOROS data reduction pipeline
title_short The TOROS data reduction pipeline
title_full The TOROS data reduction pipeline
title_fullStr The TOROS data reduction pipeline
title_full_unstemmed The TOROS data reduction pipeline
title_sort toros data reduction pipeline
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/177573
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