Systematic Local Simulations of Fast Neutrino Flavor Conversions with Scattering Effects
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- Milad Delfan Azari
- Department of Physics, Faculty of Science and Engineering, Waseda University , 3-4-1 Okubo, Shinjuku, Tokyo 169-8555 ,
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- Hirokazu Sasaki
- Theoretical Division, Los Alamos National Laboratory , Los Alamos, NM 87545 ,
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- Tomoya Takiwaki
- Division of Science, National Astronomical Observatory of Japan , 2-21-1 Osawa, Mitaka, Tokyo 181-8588 ,
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- Hirotada Okawa
- Waseda Institute for Advanced Study, Waseda University , Tokyo 169-0051 ,
書誌事項
- 公開日
- 2024-09-27
- 資源種別
- journal article
- 権利情報
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- https://creativecommons.org/licenses/by/4.0/
- DOI
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- 10.1093/ptep/ptae144
- 公開者
- Oxford University Press (OUP)
説明
<jats:title>Abstract</jats:title> <jats:p>We investigate the dynamics of fast neutrino flavor conversions (FFCs) in the one-dimensional (1D) and zero-dimensional (0D) models, in which spatial advection is considered and ignored, respectively. In this study, we employ snapshots obtained by our self-consistent, realistic Boltzmann-neutrino-radiation-hydrodynamics simulations. We show that the FFC growth rate is considerably larger in the 1D model than in the 0D model, as expected from the previous linear analysis results. We find that the momentum space dimension does not significantly influence the neutrino transition probability in 1D models. On the other hand, in the 0D model without collisions, the FFC depends on the momentum space, and the azimuthal angle dependence breaks the periodicity of the FFC. Our study demonstrates that collisional instability can lead to further flavor conversions on a long timescale in 1D models after the asymptotic state of FFC has been reached. Such an effect should be taken into consideration when the fast and collisional flavor instabilities coexist.</jats:p>
収録刊行物
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- Progress of Theoretical and Experimental Physics
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Progress of Theoretical and Experimental Physics 2024 (10), 2024-09-27
Oxford University Press (OUP)
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詳細情報 詳細情報について
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- CRID
- 1360588379381361280
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- ISSN
- 20503911
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- 資料種別
- journal article
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- データソース種別
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- Crossref
- KAKEN
