Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash 99 tok/s
Gemini 2.5 Pro 48 tok/s Pro
GPT-5 Medium 40 tok/s
GPT-5 High 38 tok/s Pro
GPT-4o 101 tok/s
GPT OSS 120B 470 tok/s Pro
Kimi K2 161 tok/s Pro
2000 character limit reached

Measurement of Two-Point Energy Correlators Within Jets in $pp$ Collisions at $\sqrt{s}$ = 200 GeV at STAR (2309.05761v1)

Published 11 Sep 2023 in hep-ex and nucl-ex

Abstract: Jet substructure is a powerful tool to probe the time evolution of a parton shower. However, many of the analysis methods used to extract splitting formation times from jet substructure, such as Soft Drop grooming and the Lund plane, focus on the hardest radiation of the jet. A complementary observable with growing theoretical and experimental interest, the 2-point Energy Correlator (EEC), re-contextualizes jet substructure study by using the distribution of angular distance of all combinations of two final state particles within a jet. This distribution is weighted by the product of the fractions of jet energy that each of the constituents carry, and thus is infrared-and-collinear safe. The EEC can reveal the separation between two distinct regimes: effects originating from free hadrons at small opening angles and from perturbative fragmentation of quarks and gluons at large opening angles. In these proceedings, the first measurement of the EEC at RHIC is presented, using the data taken at $\sqrt{s}$ = 200 GeV $pp$ collisions by STAR. The EEC will be shown for several full jet transverse momentum selections and compared to predictions from the PYTHIA-8 Detroit tune. This study is useful as a baseline for comparisons to future studies in heavy-ion collisions, which will provide information about how the quark-gluon plasma interacts with the jet across different angular scales.

Citations (2)
List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Ai Generate Text Spark Streamline Icon: https://streamlinehq.com

Paper Prompts

Sign up for free to create and run prompts on this paper using GPT-5.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

Authors (1)