Conveners
WG1+WG6 joint: Joint session WG1+WG6 - Chairs: ALexander Savin
- Kondo GNANVO (Florida Institute of Technology, Melbourne, Fl, USA)
- Claudia Gemme (INFN Genova (IT))
- Claire Gwenlan (University of Oxford (GB))
- Simone Amoroso (Deutsches Elektronen-Synchrotron (DE))
- Alexander Savin (University of Wisconsin Madison (US))
- Aurore Courtoy (Instituto de Física, UNAM)
- Kondo Gnanvo (Southeastern Universities Research Association, Inc. (US))
- Aurore Courtoy (IFPA)
The mechanism of the nuclear modifications of parton densities at $x > 0.3$ (EMC effect) observed in DIS experiments remains a major open question in QCD. In inclusive nuclear DIS, $e + A \rightarrow e’ + X$, one observes only the average effect but cannot learn anything about the underlying nuclear interactions. In DIS on the deuteron with spectator nucleon tagging, $e + D \rightarrow e’ + X...
I will present a new interpretation of the deviations of the nuclear deep inelastic structure function from the free nucleon one, known as the nuclear EMC effect, based on the non locality of the hard scattering off the bound nucleon. Because of the extended size of the hard probe-quark interaction region, final state interactions between the struck parton and the bound nucleon remnants are...
Prospects for inclusive physics studies at the Electron-Ion Collider (EIC) using the EPIC detector are explored. EPIC is currently under rapid development and is expected to be operational from the first day of data taking. Simulations are used to determine the detector acceptance and resolutions, and to estimate some significant sources of systematic uncertainty such as backgrounds and...
A precise reconstruction of the kinematic variables $x$, $y$ and $Q^2$ is essential for the physics program at the future EIC. Conventional reconstruction methods usually rely on two of the four measured quantities (energy and angle of the scattered electron and hadronic final state) with the resolution of each method depending on the kinematic regime under study, detector performance, and...
In this talk, we explore machine learning-based jet and event identification at the future Electron-Ion Collider (EIC). We study the effectiveness of machine learning-based classifiers at relatively low EIC energies, focusing on (i) identifying the flavor of the jet and (ii) identifying the underlying hard process of the event. We propose applications of our machine learning-based jet...
