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Record W2964084254 · doi:10.1088/1361-6455/ab26e0

Roadmap on photonic, electronic and atomic collision physics: II. Electron and antimatter interactions

2019· article· en· W2964084254 on OpenAlexaff
S. Schippers, Emma Sokell, F. Aumayr, H. R. Sadeghpour, Kiyoshi Ueda, Igor Bray, Klaus Bartschat, Andrew James Murray, Jonathan Tennyson, Alexander Dorn, Masakazu Yamazaki, Masahiko Takahashi, N. J. Mason, A. Wolf, Léon Sanche, Martin Centurion, Y. Yamazaki, G. Laricchia, C. M. Surko, James P. Sullivan, G. F. Gribakin, D. W. Savin, Yuri Ralchenko, R. Hoekstra, G. O’Sullivan

Bibliographic record

VenueJournal of Physics B Atomic Molecular and Optical Physics · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Molecular Physics
Canadian institutionsUniversité de Sherbrooke
FundersBasic Energy SciencesDivision of Astronomical SciencesScience Foundation IrelandEngineering and Physical Sciences Research CouncilScience Mission DirectorateDeutsche ForschungsgemeinschaftNational Science FoundationU.S. Department of EnergyCALIPSOplusAstrophysics DivisionJapan Society for the Promotion of ScienceOffice of ScienceMinistry of Education, Culture, Sports, Science and TechnologyNational Aeronautics and Space Administration
KeywordsPhysicsAntimatterCollisionField (mathematics)ElectronPhotonicsNuclear physicsPositronQuantum mechanics

Abstract

fetched live from OpenAlex

Abstract We publish three Roadmaps on photonic, electronic and atomic collision physics in order to celebrate the 60th anniversary of the ICPEAC conference. In Roadmap II we focus on electron and antimatter interactions. Modern theoretical and experimental approaches provide detailed insight into the many body quantum dynamics of leptonic collisions with targets of varying complexity ranging from neutral and charged atoms to large biomolecules and clusters. These developments have been driven by technological progress and by the needs of adjacent areas of science such as astrophysics, plasma physics and radiation biophysics. This Roadmap aims at looking back along the road, explaining the evolution of the field, and looking forward, collecting contributions from eighteen leading groups from the field.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.004
GPT teacher head0.237
Teacher spread0.234 · 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

Citations32
Published2019
Admission routes1
Has abstractyes

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