# Initial Stages 2021

10-15 January 2021
Weizmann Institute of Science
Asia/Jerusalem timezone

## Observation of impact parameter dependence of $\mu^{+}\mu^{-}$ acoplanarity in ultra-peripheral PbPb collisions

13 Jan 2021, 17:50
20m
Andrea's room 2 (vDLCC)

### Andrea's room 2

#### vDLCC

oral The initial stages of heavy-ion collisions

### Speaker

Shuai Yang (Rice University)

### Description

The CMS Collaboration reports on new differential measurements of $\gamma\gamma \rightarrow \mu^{+}\mu^{-}$ production in ultra-peripheral PbPb collisions at $\sqrt{s_{\rm NN}}$ = 5.02~TeV, using data collected during the 2018 LHC run with an integrated luminosity of 1.5~nb$^{-1}$. Photon-photon interactions have been observed in hadronic heavy-ion collisions by STAR and ALTAS experiments at very low transverse momentum ($p_T$) regions and the measured $p_T$ and azimuthal angular correlations of lepton pairs via $\gamma\gamma$ scattering in hadronic events exhibit significant broadening compared to that from vacuum production in ultra-peripheral events. There is still no consensus on the origin of the observed broadening, which is mainly from $p_T$ hardening of initial scattered photons as impact parameter ($b$) decreases toward central hadronic collisions or final-state electromagnetic modifications of lepton pairs in presence of a QGP medium. In this talk, the azimuthal angular correlations and mass spectra of $\mu^{+}\mu^{-}$ pairs via $\gamma\gamma$ scattering will be presented as a function of $b$ and rapidity. The $b$ dependence of $\gamma\gamma \rightarrow \mu^{+}\mu^{-}$ production provides key insights to the origin of observed broadening for photon-photon produced lepton pairs in hadronic collisions while rapidity dependence constrains the relative contributions from leading order and high order photon-photon interactions to measured $\mu^+\mu^-$ pairs.

### Primary authors

Serguei Petrushanko (M.V. Lomonosov Moscow State University (RU)) Shuai Yang (Rice University)

### Presentation Materials

 IS2021_ShuaiYang_v1.pdf Recording