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Record W1921080115

Experimental studies of particle production in ultra-relativistic heavy ion collisions

2001· dissertation· en· W1921080115 on OpenAlexaff
Pål Nilsson

Bibliographic record

VenueLund University Publications (Lund University) · 2001
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsParticle identificationPhysicsLarge Hadron ColliderNuclear physicsNational laboratoryHeavy ionMultiplicity (mathematics)Particle (ecology)Charged particleTracking (education)Particle physicsIonEngineering physicsDetector
DOInot available

Abstract

fetched live from OpenAlex

This thesis is about high energy heavy ion physics. Two major experiments, the WA98 at CERN and the PHENIX at Brookhaven National Laboratory, are described. Results from data analysis from both experiments are presented. The WA98 chapter presents particle identification methods and phi-meson measurements. A procedure for calculating efficiency maps for tracking chambers is discussed. The PHENIX chapter gives a technical overview of the Pad Chamber reconstruction software and ends with an analysis of single particle spectra based on 65+65 A GeV Au+Au data. The thesis is based on five papers. The first four describe the development of measurement and analysis methods, while the last paper was the first physics paper from the PHENIX experiment and is about charged particle multiplicity.

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: none
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.033
GPT teacher head0.300
Teacher spread0.267 · 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

Citations0
Published2001
Admission routes1
Has abstractyes

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