• Deep learning jet modifications in heavy-ion collisions 

      Du, Yi-lun; Pablos Alfonso, Daniel; Tywoniuk, Konrad (Journal article; Peer reviewed, 2021)
      Jet interactions in a hot QCD medium created in heavy-ion collisions are conventionally assessed by measuring the modification of the distributions of jet observables with respect to the proton-proton baseline. However, ...
    • Jet Tomography in Heavy-Ion Collisions with Deep Learning 

      Du, Yi-lun; Pablos, Daniel; Tywoniuk, Konrad (Journal article; Peer reviewed, 2022)
      Deep learning techniques have the power to identify the degree of modification of high energy jets traversing deconfined QCD matter on a jet-by-jet basis. Such knowledge allows us to study jets based on their initial, ...
    • Quark self-energy and condensates in NJL model with external magnetic field 

      Liu, Juan; Du, Yi-lun; Shi, Song (Journal article; Peer reviewed, 2021)
      In a one-flavor NJL model with a finite temperature, chemical potential, and external magnetic field, the self-energy of the quark propagator contains more condensates besides the vacuum condensate. We use Fierz identity ...