Uma ca¢mera especial que pode 'ver' os detalhes antimos do universo de hanãlio-3
Uma equipe de fasicos desenvolveu um sistema de ca¢mera que pode ser usado para capturar a sombra de uma amostra de hanãlio-3. Em seu artigo publicado na revista Physical Review B , o grupo descreve sua ca¢mera, sua técnica de uso e possaveis...
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)
Um esboa§o lateral do experimento com a configuração de emaranhado mais prova¡vel (sem escala). Iluminamos a turbulaªncia criada pelo fio com um fluxo de quasipartaculas emitido pelo orifacio do radiador de corpo negro. Uma fração de quasipartaculas experimenta a retrorreflexa£o de Andreev e refaz seu caminho deixando uma sombra atrás do emaranhado de va³rtices. A ca¢mera de quasipartaculas detecta a redução do fluxo e distribuição de 'imagens' da turbulaªncia qua¢ntica formada pelo fio. As inserções A e B mostram distribuição emaranhada resultando em sombra simanãtrica: Em (A) a turbulaªncia se forma atrás da direção do movimento do fio, enquanto em (B) a turbulaªncia se desenvolve acima e abaixo do fio. Crédito: Revisão Fasica B (2022). DOI: 10.1103/PhysRevB.105.174515
Uma equipe de fasicos da Universidade de Lancaster desenvolveu um sistema de ca¢mera que pode ser usado para capturar a sombra de uma amostra de hanãlio-3. Em seu artigo publicado na revista Physical Review B , o grupo descreve sua ca¢mera, sua técnica de uso e possaveis usos para as imagens que captura.
O hanãlio-3 tem interesse particular para os fasicos devido a sua estrutura interna interessante, que alguns no campo descreveram como o "universo em uma gota". Uma de suas propriedades éque ele se transforma em um superfluido quando resfriado a temperaturas extremamente baixas . Como parte dos esforços de pesquisa, os fasicos encontraram maneiras de detecta¡-lo usando sondas especiais para detectar seu campo magnético fraco. Eles encontraram maneiras de "toca¡-lo" empurrando as coisas atravanãs de amostras e medindo seu impacto. Eles também descobriram que épossível ouvir algumas de suas caracteristicas usando microfones especiais. Nesse novo esfora§o, os pesquisadores agora desenvolveram uma maneira de visualiza¡-lo com um sistema de ca¢mera especial .
O sistema de ca¢meras consistia em três componentes principais suspensos em uma amostra de hanãlio-3. A primeira parte do sistema era uma caixa fechada que servia como fonte de quasipartículas Ele tinha um dispositivo que dividia os pares de Cooper em quasepartículas, que encontravam o caminho para fora da caixa por meio de um pequeno orifacio em uma extremidade. Devido a s diferenças de temperatura, as quasipartaculas voaram direto para fora da caixa e para a segunda parte do sistema. Essa segunda parte consistia em um laa§o de fio vibrata³rio que criava va³rtices de hanãlio-3 entre a fonte; a terceira parte do sistema — a ca¢mera — éum conjunto 5 x 5 de diapasaµes de quartzo.
Para criar uma imagem, quasipartaculas foram disparadas da fonte para os va³rtices. As quasipartaculas que viajaram perto de um va³rtice foram refletidas de volta como buracos em direção a fonte. As quasipartaculas que não passaram suficientemente perto de um va³rtice foram atéa ca¢mera. O resultado final foi uma sombra do emaranhado de va³rtices capturado pelo conjunto de ca¢meras.