Python implementation and validation of an Optimization Method for Interferometric Antenna Arrays

Autores
Cabral, Luca; Fernández Corazza, Mariano; Gancio, Guillermo; Benaglia, Paula
Año de publicación
2023
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
A main task to solve while designing a radio interferometer is the location of the antenna-elements, a problem that defines the interferometer response. The solution determines which points of the Fourier plane (or uv plane) will be sampled, together with their density. These characteristics are extremely important because the antenna locations, in turn, define the synthesized beam or point spread function (PSF) of the whole instrument. An inadequate array configuration implies an ill- constructed synthesized beam. Consequences of inadequate arrays are for example the need to delete measures over a range of spatial frequencies due to low signal-to-noise ratio (SNR), or, at the data reduction stage, to degrade spatial resolution in order to get a cleaner image. In this work, we implement a method to optimize the antenna locations, starting with an initial random configuration and a desired or objective sample density function, taking into account if there are terrain constraints.
Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales
Materia
Ingeniería
interferometric instrumentation
optimization
numerical methods
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/167113
Acceder
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network_name_str SEDICI (UNLP)
spelling Python implementation and validation of an Optimization Method for Interferometric Antenna ArraysCabral, LucaFernández Corazza, MarianoGancio, GuillermoBenaglia, PaulaIngenieríainterferometric instrumentationoptimizationnumerical methodsA main task to solve while designing a radio interferometer is the location of the antenna-elements, a problem that defines the interferometer response. The solution determines which points of the Fourier plane (or uv plane) will be sampled, together with their density. These characteristics are extremely important because the antenna locations, in turn, define the synthesized beam or point spread function (PSF) of the whole instrument. An inadequate array configuration implies an ill- constructed synthesized beam. Consequences of inadequate arrays are for example the need to delete measures over a range of spatial frequencies due to low signal-to-noise ratio (SNR), or, at the data reduction stage, to degrade spatial resolution in order to get a cleaner image. In this work, we implement a method to optimize the antenna locations, starting with an initial random configuration and a desired or objective sample density function, taking into account if there are terrain constraints.Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales2023-11info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf157-163http://sedici.unlp.edu.ar/handle/10915/167113enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-766-230-0info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:44:30Zoai:sedici.unlp.edu.ar:10915/167113Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:44:30.946SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Python implementation and validation of an Optimization Method for Interferometric Antenna Arrays
title Python implementation and validation of an Optimization Method for Interferometric Antenna Arrays
spellingShingle Python implementation and validation of an Optimization Method for Interferometric Antenna Arrays
Cabral, Luca
Ingeniería
interferometric instrumentation
optimization
numerical methods
title_short Python implementation and validation of an Optimization Method for Interferometric Antenna Arrays
title_full Python implementation and validation of an Optimization Method for Interferometric Antenna Arrays
title_fullStr Python implementation and validation of an Optimization Method for Interferometric Antenna Arrays
title_full_unstemmed Python implementation and validation of an Optimization Method for Interferometric Antenna Arrays
title_sort Python implementation and validation of an Optimization Method for Interferometric Antenna Arrays
dc.creator.none.fl_str_mv Cabral, Luca
Fernández Corazza, Mariano
Gancio, Guillermo
Benaglia, Paula
author Cabral, Luca
author_facet Cabral, Luca
Fernández Corazza, Mariano
Gancio, Guillermo
Benaglia, Paula
author_role author
author2 Fernández Corazza, Mariano
Gancio, Guillermo
Benaglia, Paula
author2_role author
author
author
dc.subject.none.fl_str_mv Ingeniería
interferometric instrumentation
optimization
numerical methods
topic Ingeniería
interferometric instrumentation
optimization
numerical methods
dc.description.none.fl_txt_mv A main task to solve while designing a radio interferometer is the location of the antenna-elements, a problem that defines the interferometer response. The solution determines which points of the Fourier plane (or uv plane) will be sampled, together with their density. These characteristics are extremely important because the antenna locations, in turn, define the synthesized beam or point spread function (PSF) of the whole instrument. An inadequate array configuration implies an ill- constructed synthesized beam. Consequences of inadequate arrays are for example the need to delete measures over a range of spatial frequencies due to low signal-to-noise ratio (SNR), or, at the data reduction stage, to degrade spatial resolution in order to get a cleaner image. In this work, we implement a method to optimize the antenna locations, starting with an initial random configuration and a desired or objective sample density function, taking into account if there are terrain constraints.
Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales
description A main task to solve while designing a radio interferometer is the location of the antenna-elements, a problem that defines the interferometer response. The solution determines which points of the Fourier plane (or uv plane) will be sampled, together with their density. These characteristics are extremely important because the antenna locations, in turn, define the synthesized beam or point spread function (PSF) of the whole instrument. An inadequate array configuration implies an ill- constructed synthesized beam. Consequences of inadequate arrays are for example the need to delete measures over a range of spatial frequencies due to low signal-to-noise ratio (SNR), or, at the data reduction stage, to degrade spatial resolution in order to get a cleaner image. In this work, we implement a method to optimize the antenna locations, starting with an initial random configuration and a desired or objective sample density function, taking into account if there are terrain constraints.
publishDate 2023
dc.date.none.fl_str_mv 2023-11
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/167113
url http://sedici.unlp.edu.ar/handle/10915/167113
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-766-230-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
157-163
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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