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Record W4389493957 · doi:10.1051/epjconf/202329002009

Study of (p,2p) fission reactions in inverse kinematics using the R3B set-up

2023· article· en· W4389493957 on OpenAlexaff
G. García-Jiménez, H. Álvarez-Pol, A. Graña-González, J. L. Rodríguez-Sánchez, J. Benlliure, D. Cortina‐Gil, L. Atar, L. Audouin, G. Authelet, A. Besteiro, G. Blanchon, K. Boretzky, M. J. G. Borge, P. Cabanelas, E. Casarejos, J. Cederkall, A. Chatillon, A. Corsi, Miguel Ángel Álvarez Feijoo, E. De Filippo, D. Galaviz, I. Gašparić, E. Geraci, R. Gernhäuser, B. Gnoffo, M. Heil, A. Heinz, T. Hensel, M. Holl, D. Jelavić Malenica, T. Jenegger, L. Ji, H. Johansson, O.A. Kiselev, P. Klenze, A. Knyazev, D. Körper, T. Kröll, I. Lithar, Yu. A. Litvinov, B. Löher, N. S. Martorana, P. Morfouace, D. Mücher, S. Murillo-Morales, A. Obertelli, V. Panin, J. Park, S. Paschalis, Á. Perea, M. Petri, S. Pirrone, L. Ponnath, A. Revel, H. B. Rhee, L. Rose, D. Rossi, P. Russotto, H. Simon, A. Stott, Y. Sun, C. Sürder, Julien Taı̈eb, R. Taniuchi, O. Tengblad, H. Törnqvist, M. Trimarchì, S. Velardita, J. Vesic, B. Voss

Bibliographic record

VenueEPJ Web of Conferences · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsUniversity of Guelph
FundersXunta de GaliciaInstitute for Basic Science
KeywordsFissionContext (archaeology)Nuclear physicsPhysicsKinematicsInverseInverse kinematicsCalorimeter (particle physics)Nuclear fissionNeutronDetectorMathematics

Abstract

fetched live from OpenAlex

A new experimental fission approach is presented in the context of the R 3 B (Reactions with Relativistic Radioactive Beams) collaboration, at the GSI/FAIR facility, in which knockout reactions in inverse kinematics are used to induce fission of 238 U that will allow to characterise the excitation energy of the fission process and all the fission products. The CALIFA (CALorimeter for In-Flight detection of γ-rays and high energy charged pArticles) calorimeter, a key part of the R 3 B set-up, is used to reconstruct the momenta of the two protons from the (p, 2p) reactions. Preliminary results show that kinematic variables and first estimates for nucleon-removal cross sections are well reconstructed and in good agreement with other experimental measurements.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.662
Threshold uncertainty score0.216

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.129
GPT teacher head0.381
Teacher spread0.252 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2023
Admission routes1
Has abstractyes

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