Measurement of the nuclear modification factor for muons from charm and bottom hadrons in Pb+Pb collisions at 5.02 TeV with the ATLAS detector
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
CERN-LHC. Heavy flavour hadron production provides information about the transport properties and the microscopic structure of the quark-gluon plasma created in ultra-relativistic heavy-ion collisions. A measurement of the production of muons from the semi-leptonic decays of charm and bottom hadrons in Pb+Pb and pp collisions at a nucleon-nucleon center-of-mass energy of 5.02 TeV with the ATLAS detector at the Large Hadron Collider is presented. The Pb+Pb data were collected in 2015 and 2018 with sampled integrated luminosities of 208 mub^-1 and 38 mub^-1, respectively, and pp data with a sampled integrated luminosity of 1.17 pb^-1 were collected in 2017. The differential muons yield in Pb+Pb and pp cross section are measured in the transverse momentum range from 4 GeV to 30 GeV and pseudorapidity interval up to 2. Muons from heavy flavour semi-leptonic decays are separated from the light flavour hadronic background using the momentum imbalance between the inner detector and the muon spectrometer measurements, and muons coming from charm and bottom decays are further separated via the muon track transverse impact parameter. The nuclear modification factor for the charm and bottom muons is presented as a function of the muon transverse momentum in intervals of Pb+Pb collision centrality. The measured nuclear modification factors quantify significant suppression of the yields for muons coming from the decays of charm and bottom hadron, with stronger effects for muons coming from charm hadron decays.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it