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

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 ext...

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Detalles Bibliográficos
Autores principales: Cabral, Luca, Fernández Corazza, Mariano, Gancio, Guillermo, Benaglia, Paula
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2023
Materias:
Ingeniería
interferometric instrumentation
optimization
numerical methods
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/167113
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-167113
record_format dspace
spelling I19-R120-10915-1671132024-06-13T04:09:55Z http://sedici.unlp.edu.ar/handle/10915/167113 Python implementation and validation of an Optimization Method for Interferometric Antenna Arrays Cabral, Luca Fernández Corazza, Mariano Gancio, Guillermo Benaglia, Paula 2023-11 2023 2024-06-12T12:40:23Z en Ingeniería interferometric instrumentation optimization numerical methods 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 Objeto de conferencia Objeto de conferencia 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 157-163
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ingeniería
interferometric instrumentation
optimization
numerical methods
spellingShingle Ingeniería
interferometric instrumentation
optimization
numerical methods
Cabral, Luca
Fernández Corazza, Mariano
Gancio, Guillermo
Benaglia, Paula
Python implementation and validation of an Optimization Method for Interferometric Antenna Arrays
topic_facet Ingeniería
interferometric instrumentation
optimization
numerical methods
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.
format Objeto de conferencia
Objeto de conferencia
author Cabral, Luca
Fernández Corazza, Mariano
Gancio, Guillermo
Benaglia, Paula
author_facet Cabral, Luca
Fernández Corazza, Mariano
Gancio, Guillermo
Benaglia, Paula
author_sort Cabral, Luca
title Python implementation and validation of an Optimization Method for Interferometric Antenna Arrays
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
publishDate 2023
url http://sedici.unlp.edu.ar/handle/10915/167113
work_keys_str_mv AT cabralluca pythonimplementationandvalidationofanoptimizationmethodforinterferometricantennaarrays
AT fernandezcorazzamariano pythonimplementationandvalidationofanoptimizationmethodforinterferometricantennaarrays
AT gancioguillermo pythonimplementationandvalidationofanoptimizationmethodforinterferometricantennaarrays
AT benagliapaula pythonimplementationandvalidationofanoptimizationmethodforinterferometricantennaarrays
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