English

A New Heavy Flavor Program for the Future Electron-Ion Collider

Nuclear Experiment 2020-06-18 v1 High Energy Physics - Experiment High Energy Physics - Phenomenology Nuclear Theory

Abstract

The proposed high-energy and high-luminosity Electron-Ion Collider (EIC) will provide one of the cleanest environments to precisely determine the nuclear parton distribution functions (nPDFs) in a wide xx-Q2Q^{2} range. Heavy flavor production at the EIC provides access to nPDFs in the poorly constrained high Bjorken-xx region, allows us to study the quark and gluon fragmentation processes, and constrains parton energy loss in cold nuclear matter. Scientists at the Los Alamos National Laboratory are developing a new physics program to study heavy flavor production, flavor tagged jets, and heavy flavor hadron-jet correlations in the nucleon/nucleus going direction at the future EIC. The proposed measurements will provide a unique way to explore the flavor dependent fragmentation functions and energy loss in a heavy nucleus. They will constrain the initial-state effects that are critical for the interpretation of previous and ongoing heavy ion measurements at the Relativistic Heavy Ion Collider and the Large Hadron Collider. We show an initial conceptual design of the proposed Forward Silicon Tracking (FST) detector at the EIC, which is essential to carry out the heavy flavor measurements. We further present initial feasibility studies/simulations of heavy flavor hadron reconstruction using the proposed FST.

Keywords

Cite

@article{arxiv.2002.05880,
  title  = {A New Heavy Flavor Program for the Future Electron-Ion Collider},
  author = {Xuan Li and Ivan Vitev and Melynda Brooks and Lukasz Cincio and J. Matthew Durham and Michael Graesser and Ming X. Liu and Astrid Morreale and Duff Neill and Cesar da Silva and Walter E. Sondheim and Boram Yoon},
  journal= {arXiv preprint arXiv:2002.05880},
  year   = {2020}
}

Comments

6 pages, 5 figures, proceedings for the XLIX International Symposium on Multiparticle Dynamics (ISMD2019) (9-13 September 2019) conference

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