Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Quantum entanglement and thermal behavior in charged-current weak interactions
Published in Physics Letters B, 2020
Investigation of quantum entanglement and thermal behavior arising in charged-current weak interactions.
Recommended citation: G. Iskander, J. Pan, M. Tyler, C. Weber, O. K. Baker†. (2020). "Quantum entanglement and thermal behavior in charged-current weak interactions." Physics Letters B 811, 135948.
Download Paper
Search for Higgs bosons decaying to new spin-0 or spin-1 particles in four-lepton final states
Published in Journal of High Energy Physics, 2022
Search for BSM Higgs decays into new spin-0 or spin-1 particles in four-lepton final states using 139 fb⁻¹ of ATLAS pp collisions at √s = 13 TeV. (Part of doctoral dissertation work.)
Recommended citation: J. Pan, ATLAS Collaboration. (2022). "Search for Higgs bosons decaying to new spin-0 or spin-1 particles in four-lepton final states at the ATLAS detector with 139 fb⁻¹ of pp collision data at √s = 13 TeV." JHEP 03, 041.
Download Paper
Particle Physics of the Dark Sector
Published in Symmetry, 2022
A review of the theoretical landscape and experimental search programs for dark sector particles. (Part of doctoral dissertation work.)
Recommended citation: O. K. Baker†, A. Afanasev, T. Lagouri, J. Pan, C. Weber. (2022). "Particle Physics of the Dark Sector." Symmetry 14(11), 2238.
Download Paper
Towards Unfolding All Particles in High Q² DIS Events
Published in H1 Preliminary Note H1prelim-25-031, 2025
Conference proceeding on unbinned, simultaneous unfolding of all final-state particles in high-Q² deep inelastic scattering events at H1. (Part of doctoral dissertation work.)
Recommended citation: J. Pan, H1 Collaboration. (2025). "Towards Unfolding All Particles in High Q² DIS Events." H1prelim-25-031.
Download Paper
Measurement of jet track functions in pp collisions at √s = 13 TeV with the ATLAS detector
Published in Physics Letters B, 2025
First measurement of jet track functions using ATLAS pp collision data at √s = 13 TeV. (Part of doctoral dissertation work.)
Recommended citation: J. Pan†, ATLAS Collaboration. (2025). "Measurement of jet track functions in pp collisions at √s = 13 TeV with the ATLAS detector." Physics Letters B 868, 139680.
Download Paper
A Practical Guide to Unbinned Unfolding
Published in European Physical Journal C, 2026
A practical review of recent developments in unbinned, machine-learning-based unfolding methods for high-energy physics, with worked examples and software pointers.
Recommended citation: F. Canelli, K. Cormier, A. Cudd, D. Gillberg, R. Huang, W. Jin, S. Lee, V. Mikuni, L. Miller, B. Nachman, J. Pan, T. Pani, M. Pettee†, Y. Song, F. T. Acosta. (2026). "A Practical Guide to Unbinned Unfolding." Eur. Phys. J. C 86, 106.
Download Paper
Neural Posterior Unfolding
Published in Journal of Instrumentation, 2026
A neural-network method for posterior inference in detector unfolding, providing per-event posterior distributions over true-level observables.
Recommended citation: F. T. Acosta, J. Chan, K. Desai, V. Mikuni, B. Nachman, J. Pan†, F. Rubbo. (2026). "Neural Posterior Unfolding." JINST 21, P03004.
Download Paper
talks
Overview of Jet Calibration Techniques on ATLAS
Published:
Overview talk reviewing jet calibration techniques used by the ATLAS experiment, including pile-up mitigation and jet energy scale and resolution calibration. Also served as session co-chair.
Improving and Extending Precision Jet Substructure Measurements with Deep Learning Techniques
Published:
Departmental seminar on extending the precision of jet substructure measurements using modern deep learning techniques, including unbinned high-dimensional unfolding methods and their applications in ATLAS analyses.
Improving and Extending Precision Jet Substructure Measurements with Deep Learning Techniques
Published:
Departmental seminar at Lawrence Berkeley National Laboratory on improvements and extensions to precision jet substructure measurements using deep learning, including the development of Neural Posterior Unfolding for amortized posterior inference.
Measurement of Jet Track Functions with OmniFold-based Binning Corrections with the ATLAS Experiment
Published:
teaching
Theoretical Mechanics
Undergraduate course, Pennsylvania State University, Department of Physics, 2017
Teaching assistant for the upper-level undergraduate course on theoretical mechanics. Wrote problem sets and led in-class practice sessions.
Introductory Modern Physics
Undergraduate course, Pennsylvania State University, Department of Physics, 2018
Teaching assistant for an introductory modern physics course. Held review sessions and helped students with assignments.
Statistical Mechanics
Undergraduate course, Pennsylvania State University, Department of Physics, 2018
Teaching assistant for an undergraduate course on statistical mechanics. Led recitations and review sessions, and helped with assignment grading and student questions.
Introductory Physics Lab — Lead Teaching Fellow
Undergraduate lab course, Yale University, Department of Physics, 2018
Lead Teaching Fellow for the introductory physics laboratory course (Fall 2018 – Spring 2020). Designed exam rubrics, organized grading, facilitated exam reviews and lab sessions, and graded student lab reports.
Classical Mechanics — Guest Lecture on Path Integrals
Guest lecture, Yale University, Department of Physics, 2021
Nuclear and Particle Physics — Guest Lecture on ML for Jet Studies
Guest lecture, Yale University, Department of Physics, 2022
Invited guest lecture on research applications of machine learning techniques in jet substructure studies, as part of Yale’s Nuclear and Particle Physics course.
Mathematical Methods — Guest Lecture on Group Theory
Guest lecture, Yale University, Department of Physics, 2022