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Laser induced strong-field ionization gas jet tomography.
Tchulov, Oshrat; Negro, Matteo; Stagira, Salvatore; Devetta, Michele; Vozzi, Caterina; Frumker, Eugene.
Afiliação
  • Tchulov O; Department of Physics, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel.
  • Negro M; IFN-CNR and Dipartimento di Fisica-Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milano, Italy.
  • Stagira S; IFN-CNR and Dipartimento di Fisica-Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milano, Italy.
  • Devetta M; IFN-CNR and Dipartimento di Fisica-Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milano, Italy.
  • Vozzi C; IFN-CNR and Dipartimento di Fisica-Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milano, Italy.
  • Frumker E; Department of Physics, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel. efrumker@bgu.ac.il.
Sci Rep ; 7(1): 6905, 2017 07 31.
Article em En | MEDLINE | ID: mdl-28761053
We introduce a novel in-situ strong field ionization tomography approach for characterizing the spatial density distribution of gas jets. We show that for typical intensities in high harmonic generation experiments, the strong field ionization mechanism used in our approach provides an improvement in the resolution close to factor of 2 (resolving about 8 times smaller voxel volume), when compared to linear/single-photon imaging modalities. We find, that while the depth of scan in linear tomography is limited by resolution loss due to the divergence of the driving laser beam, in the proposed approach the depth of focus is localized due to the inherent physical nature of strong-field interaction and discuss implications of these findings. We explore key aspects of the proposed method and compare it with commonly used single- and multi-photon imaging mechanisms. The proposed method will be particularly useful for strong field and attosecond science experiments.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article