Philip Velie

Philip Velie

PhD Student at Pennsylvania State University interested in the intersection of Scattering Amplitudes for Quantum Field Theory and Machine Learning.

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network

Published in ArXiv, 2024

Application of deep neural networks for the use of calibrating the topological cell clusters in the ATLAS calorimeters. The goal of improve the calibration of the cluster energy to the true energy at low energies.

Recommended citation: ATLAS Collaboration. (2024). Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network. arXiv preprint arXiv:2412.04370.
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A bijection for tuples of commuting permutations and a log-concavity conjecture

Published in Research in Number Theory, 2023

We provide a new proof of an explicit formula for A(p, n, k) which is essentially due to Bryan and Fulman, in their work on orbifold higher equivariant Euler characteristics.

Recommended citation: Abdesselam, A., Brunialti, P., Doan, T., & Velie, P. (2024). A bijection for tuples of commuting permutations and a log-concavity conjecture. Research in Number Theory, 10(2), 45.
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Parameterization of Quark and Gluon Generalized Parton Distributions in a Dynamical Framework Permalink

Published in Physical Review D, 2021

Presented a parametrization of the chiral even generalized parton distributions, H, E, H^˜, E^˜, for the quark, antiquark, and gluon, in the perturbative QCD-parton framework.

Recommended citation: Kriesten, B., Velie, P., Yeats, E., Lopez, F. Y., & Liuti, S. (2022). Parametrization of quark and gluon generalized parton distributions in a dynamical framework. Physical Review D, 105(5), 056022.
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