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Record W7162017447 · doi:10.82308/12195

Photons and dileptons as probes of early-time dynamics in relativistic heavy-ion collisions

2018· dissertation· en· W7162017447 on OpenAlexaboutno aff
Jessica Churchill

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsnot available
Fundersnot available
KeywordsPhotonLeptonQuark–gluon plasmaLarge Hadron ColliderPlasmaQuantum chromodynamicsThermalQuarkCharged particleNuclear matter

Abstract

fetched live from OpenAlex

Vigorous experimental and theoretical programs are underway to study the behaviour of strongly interacting systems in extreme conditions of temperature and density. The only practical way to create such systems in terrestrial laboratories is to collide nuclei at relativistic energies. This is done at accelerator facilities such as the LHC (CERN, Geneva) and RHIC (Brookhaven National Laboratory, USA). These collisions of heavy ions contain so much energy in such a small volume that the colliding nuclei "melt" into a plasma of quarks and gluons. This creates an exotic form of nuclear matter: the quark-gluon plasma (QGP), which exists but for a fleeting moment, and can be studied through the particles that stream to the detectors. Two such particles are leptons and photons, which this research will focus on. As it was discovered that the QGP can be very well modelled by relativistic fluid dynamics, there has been a large theoretical effort to completely characterize this QGP and understand its bulk properties. One of the aims of the McGill group is to obtain a value for the shear and bulk viscosities of the plasma: those are transport coefficients linked to fundamental properties of quantum chromodynamics (QCD), the theory of the nuclear strong interaction. The production of photons and dileptons can be used as probes to study these transport coefficients as they are emitted throughout the out-of-equilibrium evolution of the QGP medium, as well as within thermal equilibrium. In order for such studies to be done, the electromagnetic signal from the pre-equilibrium phase needs to be quantified, which is the topic of this thesis. Using kinetic theory, the production rate of dileptons and photons was calculated for both thermal equilibrium and pre-equilibrium cases. In the thermal equilibrium case, results of the numerical integration of the differential dilepton and photon production rates were matched to the analytical solution. For the out-of-equilibrium case, transport equations derived within the diffusion approximation of the Boltzmann equation were solved numerically to study the thermalization of quarks and gluons in quark-gluon plasma.

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 categoriesInsufficient payload (model declined to judge)
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 score0.836
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.291
Teacher spread0.283 · 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
Published2018
Admission routes1
Has abstractyes

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