Hard-photon-triggered jets in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>p</mml:mi> <mml:mtext>−</mml:mtext> <mml:mi>p</mml:mi> </mml:mrow> </mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>A</mml:mi> <mml:mtext>−</mml:mtext> <mml:mi>A</mml:mi> </mml:mrow> </mml:math> collisions
Bibliographic record
Abstract
An investigation of high-transverse-momentum (high- <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"> <a:msub> <a:mi>p</a:mi> <a:mi>T</a:mi> </a:msub> </a:math> ) photon-triggered jets in proton-proton ( <b:math xmlns:b="http://www.w3.org/1998/Math/MathML"> <b:mrow> <b:mi>p</b:mi> <b:mtext>−</b:mtext> <b:mi>p</b:mi> </b:mrow> </b:math> ) and ion-ion ( <c:math xmlns:c="http://www.w3.org/1998/Math/MathML"> <c:mrow> <c:mi>A</c:mi> <c:mtext>−</c:mtext> <c:mi>A</c:mi> </c:mrow> </c:math> ) collisions at <d:math xmlns:d="http://www.w3.org/1998/Math/MathML"> <d:mrow> <d:msqrt> <d:msub> <d:mi>s</d:mi> <d:mrow> <d:mi>N</d:mi> <d:mi>N</d:mi> </d:mrow> </d:msub> </d:msqrt> <d:mo>=</d:mo> <d:mn>0.2</d:mn> </d:mrow> </d:math> and <e:math xmlns:e="http://www.w3.org/1998/Math/MathML"> <e:mrow> <e:mn>5.02</e:mn> <e:mspace width="0.28em"/> <e:mi>TeV</e:mi> </e:mrow> </e:math> is carried out, using the multistage description of in-medium jet evolution. Monte Carlo simulations of hard scattering and energy loss in heavy-ion collisions are performed using parameters tuned in a previous study of the nuclear modification factor ( <g:math xmlns:g="http://www.w3.org/1998/Math/MathML"> <g:msub> <g:mi>R</g:mi> <g:mrow> <g:mi>A</g:mi> <g:mi>A</g:mi> </g:mrow> </g:msub> </g:math> ) for inclusive jets and high- <h:math xmlns:h="http://www.w3.org/1998/Math/MathML"> <h:msub> <h:mi>p</h:mi> <h:mi>T</h:mi> </h:msub> </h:math> hadrons. We obtain a good reproduction of the experimental data for photon-triggered jet <i:math xmlns:i="http://www.w3.org/1998/Math/MathML"> <i:msub> <i:mi>R</i:mi> <i:mrow> <i:mi>A</i:mi> <i:mi>A</i:mi> </i:mrow> </i:msub> </i:math> , as measured by the ATLAS detector, the distribution of the ratio of jet to photon <j:math xmlns:j="http://www.w3.org/1998/Math/MathML"> <j:msub> <j:mi>p</j:mi> <j:mi>T</j:mi> </j:msub> </j:math> ( <k:math xmlns:k="http://www.w3.org/1998/Math/MathML"> <k:msub> <k:mi>X</k:mi> <k:mrow> <k:mi>J</k:mi> <k:mi>γ</k:mi> </k:mrow> </k:msub> </k:math> ), measured by both CMS and ATLAS, and the photon-jet azimuthal correlation as measured by CMS. We obtain a moderate description of the photon-triggered jet <l:math xmlns:l="http://www.w3.org/1998/Math/MathML"> <l:msub> <l:mi>I</l:mi> <l:mrow> <l:mi>A</l:mi> <l:mi>A</l:mi> </l:mrow> </l:msub> </l:math> , as measured by STAR. A noticeable improvement in the comparison is observed when one goes beyond prompt photons and includes bremsstrahlung and decay photons, revealing their significance in certain kinematic regions, particularly at <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:msub> <m:mi>X</m:mi> <m:mrow> <m:mi>J</m:mi> <m:mi>γ</m:mi> </m:mrow> </m:msub> <m:mo>></m:mo> <m:mn>1</m:mn> </m:mrow> </m:math> . Moreover, azimuthal angle correlations demonstrate a notable impact of bremsstrahlung photons on the distribution, emphasizing their role in accurately describing experimental results. This work highlights the success of the multistage model of jet modification to straightforwardly predict (this set of) photon-triggered jet observables. This comparison, along with the role played by bremsstrahlung photons, has important consequences on the inclusion of such observables in a future Bayesian analysis.
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How this classification was reachedexpand
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.005 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.103 | 0.013 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".