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Extraction of the Landau-Migdal Parameter from the Gamow-Teller Giant Resonance in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Sn</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>132</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math>

2018· article· lv· W2892523610 on OpenAlexaff
Jumpei Yasuda, M. Sasano, R. G. T. Zegers, H. Baba, D. Bazin, Wei-Qin Chao, M. Dozono, N. Fukuda, N. Inabe, T. Isobe, G. Jhang, D. Kameda, M. Kaneko, K. Kisamori, M. Kobayashi, Nagao Kobayashi, T. Kobayashi, S. Koyama, Y. Kondo, A. Krasznahorkay, T. Kubo, Y. Kubota, M. Kurata-Nishimura, C. S. Lee, J. W. Lee, Y. Matsuda, E. Milman, S. Michimasa, T. Motobayashi, D. Muecher, T. Murakami, T. Nakamura, N. Nakatsuka, S. Ota, H. Otsu, V. Panin, W. Richard Powell, S. Reichert, S. Sakaguchi, H. Sakai, M. Šako, Y. Satou, Yuki Shimizu, M. Shikata, S. Shimoura, L. Stuhl, T. Sumikama, Hiroaki Suzuki, S. Tangwancharoen, M. Takaki, H. Takeda, T. Tako, Y. Togano, H. Tokieda, J. Tsubota, Т. Уесака, T. Wakasa, K. Yako, K. Yoneda, J. Zenihiro

Bibliographic record

VenuePhysical Review Letters · 2018
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsUniversity of Guelph
FundersJapan Society for the Promotion of ScienceMinistry of Education, Culture, Sports, Science and TechnologyNational Science Foundation
KeywordsPhysicsSensitivity (control systems)Energy (signal processing)Resonance (particle physics)NeutronNuclear physicsNuclear magnetic resonanceAtomic physicsQuantum mechanics

Abstract

fetched live from OpenAlex

The key parameter to discuss the possibility of the pion condensation in nuclear matter, i.e., the so-called Landau-Migdal parameter ${g}^{\ensuremath{'}}$, was extracted by measuring the double-differential cross sections for the $(p,n)$ reaction at $216\text{ }\text{ }\mathrm{MeV}/\mathrm{u}$ on a neutron-rich doubly magic unstable nucleus, $^{132}\mathrm{Sn}$ with the quality comparable to data taken with stable nuclei. The extracted strengths for Gamow-Teller (GT) transitions from $^{132}\mathrm{Sn}$ leading to $^{132}\mathrm{Sb}$ exhibit the GT giant resonance (GTR) at the excitation energy of $16.3\ifmmode\pm\else\textpm\fi{}0.4(\mathrm{stat})\ifmmode\pm\else\textpm\fi{}0.4(\mathrm{syst})\text{ }\text{ }\mathrm{MeV}$ with the width of $\mathrm{\ensuremath{\Gamma}}=4.7\ifmmode\pm\else\textpm\fi{}0.8\text{ }\text{ }\mathrm{MeV}$. The integrated GT strength up to ${E}_{x}=25\text{ }\text{ }\mathrm{MeV}$ is ${S}_{\mathrm{GT}}^{\ensuremath{-}}=53\ifmmode\pm\else\textpm\fi{}{5(\mathrm{stat})}_{\ensuremath{-}10}^{+11}(\mathrm{syst})$, corresponding to 56% of Ikeda's sum rule of $3(N\ensuremath{-}Z)=96$. The present result accurately constrains the Landau-Migdal parameter as ${g}^{\ensuremath{'}}=0.68\ifmmode\pm\else\textpm\fi{}0.07$, thanks to the high sensitivity of the GTR energy to ${g}^{\ensuremath{'}}$. In combination with previous studies on the GTR for $^{90}\mathrm{Zr}$ and $^{208}\mathrm{Pb}$, the result of this work shows the constancy of this parameter in the nuclear chart region with $(N\ensuremath{-}Z)/A=0.11$ to 0.24 and $A=90$ to 208.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.854
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0010.002
Open science0.0030.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.1650.002

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 head0.026
GPT teacher head0.276
Teacher spread0.250 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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

Citations53
Published2018
Admission routes1
Has abstractyes

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