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Record W1976854585 · doi:10.1103/physrevd.81.123014

Neutrino oscillation and expected event rate of supernova neutrinos in the adiabatic explosion model

2010· article· en· W1976854585 on OpenAlexaboutno aff
Shio Kawagoe, Takashi Yoshida, Toshitaka Kajino, Hideyuki Suzuki, Kohsuke Sumiyoshi, Shoichi Yamada

Bibliographic record

VenuePhysical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsnot available
Fundersnot available
KeywordsNeutrinoPhysicsSupernovaNeutrino oscillationAdiabatic processEvent (particle physics)Particle physicsShock (circulatory)Nuclear physicsEnergy (signal processing)AstrophysicsQuantum mechanics

Abstract

fetched live from OpenAlex

We study how the influence of the shock wave appears in neutrino oscillations and the neutrino spectrum by using the density profile of the adiabatic explosion model of a core-collapse supernova, which is calculated in an implicit Lagrangian code for general relativistic spherical hydrodynamics. We calculate expected event rates of neutrino detection at Super-Kamiokande (SK) and Sudbury Neutrino Observatory (SNO) for various ${\ensuremath{\theta}}_{13}$ values and both normal and inverted hierarchies. The predicted event rates of ${\overline{\ensuremath{\nu}}}_{e}$ and ${\ensuremath{\nu}}_{e}$ depend on the mixing angle ${\ensuremath{\theta}}_{13}$ for the inverted and normal mass hierarchies, respectively, and the influence of the shock wave appears for about 2--8 s when ${sin}^{2}2{\ensuremath{\theta}}_{13}$ is larger than ${10}^{\ensuremath{-}3}$. These neutrino signals for the shock-wave propagation is decreased by $\ensuremath{\lesssim}30%$ for ${\overline{\ensuremath{\nu}}}_{e}$ in inverted hierarchy (SK) or by $\ensuremath{\lesssim}15%$ for ${\ensuremath{\nu}}_{e}$ in normal hierarchy (SNO) compared with the case without shock. The obtained ratio of the total event for high-energy neutrinos ($20\text{ }\text{ }\mathrm{MeV}\ensuremath{\leqq}{E}_{\ensuremath{\nu}}\ensuremath{\leqq}60\text{ }\text{ }\mathrm{MeV}$) to low-energy neutrinos ($5\text{ }\text{ }\mathrm{MeV}\ensuremath{\lesssim}{E}_{\ensuremath{\nu}}\ensuremath{\leqq}20\text{ }\text{ }\mathrm{MeV}$) is consistent with the previous studies in schematic semianalytic or other hydrodynamic models of the shock propagation. The time dependence of the calculated ratio of the event rates of high-energy neutrinos to the event rates of low-energy neutrinos is a very useful observable which is sensitive to ${\ensuremath{\theta}}_{13}$ and mass hierarchies. Namely, the time-dependent ratio shows a clearer signal of the shock-wave propagation that exhibits a remarkable decrease by at most a factor of $\ensuremath{\sim}2$ for ${\overline{\ensuremath{\nu}}}_{e}$ in inverted hierarchy (SK), whereas it exhibits a smaller change by $\ensuremath{\sim}10%$ for ${\ensuremath{\nu}}_{e}$ in normal hierarchy (SNO). Observing the time-dependent high-energy to low-energy ratio of the neutrino events thus would provide a piece of very useful information to constrain ${\ensuremath{\theta}}_{13}$ and mass hierarchy and eventually help understand how the shock wave propagates inside the star.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.346
Teacher spread0.317 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2010
Admission routes1
Has abstractyes

Explore more

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