Space data processing pipeline for PASO
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/39428 |
Resumo: | Orbital debris have become one of the biggest threats for operational satellites. With an increase in satellite launches the number of small objects in orbit is increasing at a never seen rate. This has created the need to track and survey these objects in order to protect present and future space missions. As part of the SST, Portugal is creating PASO (PAmpilhosa da Serra Observatory) with the main mission of monitoring objects in all orbits. It is already equipped with a radar telescope capable of tracking LEO objects and a optical telescope capable of surveying and tracking MEO and GEO objects. In this thesis we developed SPADE, the new space data pipeline that will be used for the new double telescope system being now implemented in PASO. This pipeline consists of all the steps necessary to analyse a raw image: image reduction, source detection, plate solving with additional possibility of photometry and satellite identification. SPADE is presently ready to analyse MEO and GEO orbits reaching the necessary 2 arcsec precision required by the SST and will continue to be worked on with the final goal of analysing LEO objects. SPADE was built with the goal of providing real-time analysis without the creation of image queues. This was achieved by the usage of multi-threading. SPADE was also built to be easily adaptable to any telescope and observatory. Every part of the pipeline can be easily controlled in the configuration file without the need of in-depth knowledge of the code. |
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Space data processing pipeline for PASOPampilhosa da Serra space Observatory (PASO)Space Surveillance and Tracking (SST)Data Processing PipelineSatellitesMedium Earth orbit (MEO)Geosynchronous Earth Orbit (GEO)Space debrisOrbital debris have become one of the biggest threats for operational satellites. With an increase in satellite launches the number of small objects in orbit is increasing at a never seen rate. This has created the need to track and survey these objects in order to protect present and future space missions. As part of the SST, Portugal is creating PASO (PAmpilhosa da Serra Observatory) with the main mission of monitoring objects in all orbits. It is already equipped with a radar telescope capable of tracking LEO objects and a optical telescope capable of surveying and tracking MEO and GEO objects. In this thesis we developed SPADE, the new space data pipeline that will be used for the new double telescope system being now implemented in PASO. This pipeline consists of all the steps necessary to analyse a raw image: image reduction, source detection, plate solving with additional possibility of photometry and satellite identification. SPADE is presently ready to analyse MEO and GEO orbits reaching the necessary 2 arcsec precision required by the SST and will continue to be worked on with the final goal of analysing LEO objects. SPADE was built with the goal of providing real-time analysis without the creation of image queues. This was achieved by the usage of multi-threading. SPADE was also built to be easily adaptable to any telescope and observatory. Every part of the pipeline can be easily controlled in the configuration file without the need of in-depth knowledge of the code.Os detritos orbitais tornaram-se numa das maiores ameaças para os satélites ativos. Com um aumento nos lançamentos de satélites, o número de pequenos objetos em órbita está aumentando a um ritmo nunca antes visto. Isto criou a necessidade de rastrear e pesquisar esses objetos no espaço para proteger as missões espaciais presentes e futuras. No âmbito do SST, Portugal está a criar o PASO (Pampilhosa da Serra Observatory) com a missão principal de monitorizar objetos em todas as órbitas. Já se encontra equipado com um radar capaz de rastrear objetos em LEO e um telescópio ótico capaz de pesquisar e rastrear objetos em MEO e GEO. Nesta tese criámos SPADE, a nova pipeline de dados espaciais que está será usada com o novo sistema de telescópio duplo que está a ser implementado no PASO. Esta pipeline contêm todas as etapas necessárias para analisar uma imagem bruta desde a sua redução, deteção das fontes, astrometria, com possibilidades adicionais de fotometria e identificação dos satélites. O SPADE está atualmente pronto para analisar objetos em MEO e GEO, atingindo a precisão necessária de 2 segundos de arco pelo SST e continuará a ser trabalhado com o objetivo final de analisar objetos em LEO. SPADE foi construído de modo a poder ser utilizado em tempo real sem a criação de filas de processamento de imagens através da utilização de multi-threading. O SPADE também foi construído para ser facilmente adaptável a qualquer telescópio e observatório. Cada parte do pipeline pode ser facilmente controlada no arquivo de configuração sem a necessidade de conhecimento profundo do código2023-09-26T09:56:02Z2023-07-05T00:00:00Z2023-07-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/39428engGonçalves, Luís Filipe Pinoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:17:03Zoai:ria.ua.pt:10773/39428Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:09:38.009195Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Space data processing pipeline for PASO |
title |
Space data processing pipeline for PASO |
spellingShingle |
Space data processing pipeline for PASO Gonçalves, Luís Filipe Pino Pampilhosa da Serra space Observatory (PASO) Space Surveillance and Tracking (SST) Data Processing Pipeline Satellites Medium Earth orbit (MEO) Geosynchronous Earth Orbit (GEO) Space debris |
title_short |
Space data processing pipeline for PASO |
title_full |
Space data processing pipeline for PASO |
title_fullStr |
Space data processing pipeline for PASO |
title_full_unstemmed |
Space data processing pipeline for PASO |
title_sort |
Space data processing pipeline for PASO |
author |
Gonçalves, Luís Filipe Pino |
author_facet |
Gonçalves, Luís Filipe Pino |
author_role |
author |
dc.contributor.author.fl_str_mv |
Gonçalves, Luís Filipe Pino |
dc.subject.por.fl_str_mv |
Pampilhosa da Serra space Observatory (PASO) Space Surveillance and Tracking (SST) Data Processing Pipeline Satellites Medium Earth orbit (MEO) Geosynchronous Earth Orbit (GEO) Space debris |
topic |
Pampilhosa da Serra space Observatory (PASO) Space Surveillance and Tracking (SST) Data Processing Pipeline Satellites Medium Earth orbit (MEO) Geosynchronous Earth Orbit (GEO) Space debris |
description |
Orbital debris have become one of the biggest threats for operational satellites. With an increase in satellite launches the number of small objects in orbit is increasing at a never seen rate. This has created the need to track and survey these objects in order to protect present and future space missions. As part of the SST, Portugal is creating PASO (PAmpilhosa da Serra Observatory) with the main mission of monitoring objects in all orbits. It is already equipped with a radar telescope capable of tracking LEO objects and a optical telescope capable of surveying and tracking MEO and GEO objects. In this thesis we developed SPADE, the new space data pipeline that will be used for the new double telescope system being now implemented in PASO. This pipeline consists of all the steps necessary to analyse a raw image: image reduction, source detection, plate solving with additional possibility of photometry and satellite identification. SPADE is presently ready to analyse MEO and GEO orbits reaching the necessary 2 arcsec precision required by the SST and will continue to be worked on with the final goal of analysing LEO objects. SPADE was built with the goal of providing real-time analysis without the creation of image queues. This was achieved by the usage of multi-threading. SPADE was also built to be easily adaptable to any telescope and observatory. Every part of the pipeline can be easily controlled in the configuration file without the need of in-depth knowledge of the code. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-09-26T09:56:02Z 2023-07-05T00:00:00Z 2023-07-05 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/39428 |
url |
http://hdl.handle.net/10773/39428 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799137747093422080 |