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- W4287777656 abstract "We investigate the use of deep learning in the context of X-ray polarization detection from astrophysical sources as will be observed by the Imaging X-ray Polarimetry Explorer (IXPE), a future NASA selected space-based mission expected to be operative in 2021. In particular, we propose two models that can be used to estimate the impact point as well as the polarization direction of the incoming radiation. The results obtained show that data-driven approaches depict a promising alternative to the existing analytical approaches. We also discuss problems and challenges to be addressed in the near future." @default.
- W4287777656 created "2022-07-26" @default.
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- W4287777656 date "2020-05-16" @default.
- W4287777656 modified "2023-10-14" @default.
- W4287777656 title "Inferring astrophysical X-ray polarization with deep learning" @default.
- W4287777656 doi "https://doi.org/10.48550/arxiv.2005.08126" @default.
- W4287777656 hasPublicationYear "2020" @default.
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