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Record W3118246238 · doi:10.1103/physrevc.102.014304

Spectroscopy of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>Cd</mml:mi><mml:mprescripts/><mml:none/><mml:mn>99</mml:mn></mml:mmultiscripts></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>In</mml:mi><mml:mprescripts/><mml:none/><mml:mn>101</mml:mn></mml:mmultiscripts></mml:math> from <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>β</mml:mi></mml:math> decays of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>In</mml:mi><mml:mprescripts/><mml:none/><mml:mn>99</mml:mn></mml:mmultiscripts></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>Sn</mml:mi><mml:mprescripts/><mml:none/><mml:mn>101</mml:mn></mml:mmultiscripts></mml:math>

2020· article· lv· W3118246238 on OpenAlexafffund
J. Park, R. Krücken, A. Blazhev, D. Lubos, R. Gernhäuser, M. Lewitowicz, S. Nishimura, D. S. Ahn, H. Baba, Β. Blank, P. Boutachkov, F. Browne, Igor Čelikovíć, G. de France, P. Doornenbal, T. Faestermann, Y. Fang, N. Fukuda, J. Giovinazzo, N. Goel, M. Górska, H. Grawe, S. Ilieva, N. Inabe, T. Isobe, A. Jungclaus, D. Kameda, G. D. Kim, Y.-K. Kim, I. Kojouharov, T. Kubo, N. Kurz, Y. K. Kwon, G. Lorusso, K. Moschner, D. Murai, I. Nishizuka, Z. Patel, M. M. Rajabali, S. Rice, H. Sakuraï, H. Schaffner, Y. Shimizu, L. Sinclair, P.-A. Söderström, Katja Steiger, T. Sumikama, Hiroaki Suzuki, H. Takeda, Z. Wang, H. Watanabe, J. Wu, Z. Y. Xu

Bibliographic record

VenuePhysical review. C · 2020
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsUniversity of British ColumbiaTRIUMF
FundersJapan Society for the Promotion of ScienceInstitute for Basic ScienceRIKENNatural Sciences and Engineering Research Council of CanadaUniversity of TokyoMinistry of Education, Science and TechnologyMinisterio de Economía y CompetitividadBundesministerium für Bildung und ForschungNational Research Foundation of KoreaDeutsche ForschungsgemeinschaftNational Research Foundation
KeywordsPhysicsExcited stateGamma spectroscopySpectroscopySpectral lineAtomic physicsQuantum mechanics

Abstract

fetched live from OpenAlex

We report on new $\ensuremath{\gamma}$-ray spectroscopy results from $\ensuremath{\beta}$ decays of $^{99}\mathrm{In}$ and $^{101}\mathrm{Sn}$. 30 new $\ensuremath{\gamma}$ rays were observed following the $\ensuremath{\beta}$ decay of $^{99}\mathrm{In}$, and inconsistencies in the literature with respect to the $\ensuremath{\gamma}$ rays following the $\ensuremath{\beta}$ decay of $^{101}\mathrm{Sn}$ were addressed with two confirmed cases and two new transitions. The experimental $\ensuremath{\gamma}$-ray energies, intensities, and coincidence relationships are discussed with shell model calculations, where theoretical $\ensuremath{\beta}$-decay branching ratios from the parent nuclei and $\ensuremath{\gamma}$-ray cascades of excited states from the daughter nuclei were combined to generate hypothetical $\ensuremath{\beta}\ensuremath{\gamma}$ spectra and $\ensuremath{\beta}\ensuremath{\gamma}\ensuremath{\gamma}$ coincidence matrices. The most intense $\ensuremath{\beta}$-delayed $\ensuremath{\gamma}$-ray branches in both $^{99}\mathrm{Cd}$ and $^{101}\mathrm{In}$ were well reproduced with this approach, and several $\ensuremath{\gamma}$ rays were assigned to new excited states based on their good agreement with shell model predictions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.314
Threshold uncertainty score0.979

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0050.005
Open science0.0020.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.3140.309

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 head0.027
GPT teacher head0.271
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
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

Citations14
Published2020
Admission routes2
Has abstractyes

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Same venuePhysical review. CSame topicNuclear physics research studiesFrench-language works237,207