O sinal de ra¡dio de uma fonte de ra¡dio compacta distante éespalhado pela densidade não homogaªnea do vento solar e, consequentemente, um padrãode difraça£o aleata³rio éobservado na Terra.
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)
Fig. 2 O exemplo de ajuste de modelo da fonte 3C 286 com modo de análise SSSF. Crédito: Liu et al., 2021
O sinal de ra¡dio de uma fonte de ra¡dio compacta distante éespalhado pela densidade não homogaªnea do vento solar e, consequentemente, um padrãode difração aleata³rio éobservado na Terra.
Este fena´meno édenominado cintilação interplaneta¡ria (IPS). As observações IPS baseadas no solo podem ser usadas para estudar o vento solar e prever o clima espacial.
Com base no Telescópio Esfanãrico de Abertura de Quinhentos metros (FAST) e seu receptor de banda ultralarga (UWB), uma equipe de pesquisa liderada pelo Prof. Peng Bo do Observatório Astrona´mico Nacional da Academia Chinesa de Ciências (NAOC) observou algumas fontes 3C para analisar o vento solar atravanãs da cintilação interplaneta¡ria.
O estudo foi publicado online em Avisos Mensais da Royal Astronomical Society em 20 de maio.
"Este desenvolvimento énovo e beneficia a comunidade astrofasica mais ampla", disse o a¡rbitro ana´nimo.
De 2016 a 2018, algumas observações distintas de fontes IPS como 3C 286 e 3C 279 foram realizadas com o FAST. Devido a ampla cobertura de frequência do receptor de banda ultralarga (UWB) (270-1620 MHz), pode-se usar análises de frequência única e dupla para determinar a velocidade projetada do vento solar simultaneamente.
Com base na extraordina¡ria sensibilidade de FAST, Ph.D. O candidato Liu Lijia, o primeiro autor do estudo, obteve os parametros de ajuste do modelo do vento solar em 20 s. O tempo de observação foi reduzido pelo menos em uma ordem de magnitude em comparação com outros radiotelesca³pios .
Pela primeira vez, os quatro parametros de ajuste e erros do vento solar pode ser obtido, ao mesmo tempo, com o ra¡dio interferaªncia de frequência (RFI) estratanãgia de mitigação e um manãtodo de ajuste de modelo otimizado desenvolvido pelos pesquisadores.
"A FAST estãoprometendo desempenhar um papel aºnico no estudo IPS", disse o Prof. Peng Bo, o autor correspondente do estudo.