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Record W1489567374

Study of Two-Photon processes at low Q2 using the VSAT calorimeter in the DELPHI experiment

2004· dissertation· en· W1489567374 on OpenAlexaff
P. Tyapkin

Bibliographic record

VenueCERN Document Server (European Organization for Nuclear Research) · 2004
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsInstitute of Particle Physics
FundersJoint Institute for Nuclear ResearchLunds UniversitetCERN
KeywordsPhysicsParticle physicsLuminosityDetectorCalorimeter (particle physics)UpgradeNuclear physicsPhotonMonte Carlo methodOpticsComputer scienceStatisticsAstrophysics
DOInot available

Abstract

fetched live from OpenAlex

The study is based on data collected at the LEP II accelerator during the second period of the Large Electron-Positron collider operations (1996-2000). During that time the DELPHI (DEtector with Lepton, Photon and Hadron Identification) experiment collected about 90 Gb of data on tape corresponding to 687-691 pb-1 of luminosity. The data obtained by the VSAT (Very Small Angle Tagger) electromagnetic calorimeter was stored and used for luminosity measurements and for gamma-gamma physics analysis. The analysis was concentrated on single and double tag events. Three Monte Carlo sets were generated for years 1998-2000 using three different generators (PYTHIA, PHOJET and TWOGAM). Gamma-gamma physics at such high energies (189-206 GeV in the c.m.s.) and small polar angles (3-12 mrad) is unique. Background and beam conditions influenced the analysis and were studied in order to obtain a "clean" signal with as little background as possible. The total hadronic cross-sections for different invariant mass were estimated. The upgrade of the VSAT data-taking software and some hardware problems due to aging were also discussed. The articles in the Appendices are connected with VSAT data-taking and the two-photon physics analysis. Appendix A, is the VSAT status report with estimation of VSAT performance for higher energies. The situation with the VSAT detector hardware and software upgrades are explained in the article. Appendix B, was written during the summer of 1999. The main subject of the article is the background condition in VSAT, STIC and other calorimeters. Some effective methods of removing background are proposed for each of the DELPHI calorimeters. Appendix C, describes problems of the long-time radiation damage and the short periods of high background which caused an increase of the bias currents in the VSAT modules. Appendix D, summarizes all beam parameters changes, position shifts of the VSAT modules observed by geometrical surveys and consequences of that during LEP II period. Appendix E, is devoted to the two-photons physics analysis of the DELPHI - VSAT data. The final analysis of two-photon events in double and single tag modes is presented.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.042
GPT teacher head0.319
Teacher spread0.277 · 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.

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

Citations0
Published2004
Admission routes1
Has abstractyes

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