Publications (14)
Machine Learning Templates for QCD Factorization in the Search for Physics Beyond the Standard Model
Joshua Lin, Wahid Bhimji, Benjamin Nachman
High-multiplicity all-hadronic final states are an important, but difficult final state for searching for physics beyond the Standard Model. A powerful search method is to look for…
Quantum and Thermal Fluctuations of Cherenkov Radiation from HQET
Joshua Lin, Bruno Scheihing-Hitschfeld
Charged particles travelling faster than the speed of light in the medium in which they propagate emit Cherenkov radiation. The formula for the spectrum of this radiation as a func…
Lattice field theory for superconducting circuits
Joshua Lin, Max Hays, Stephen Sorokanich +3
Large superconducting quantum circuits have a number of important applications in quantum computing. Accurately predicting the performance of these devices from first principles is…
Path integral predictions for pre-asymptotic false vacuum decay
Joshua Lin, Bruno Scheihing-Hitschfeld, Thomas Steingasser
When tunneling occurs out of generic initial states, a significant fraction of probability is lost at early times during which the dynamics is governed by excited resonance states.…
Real-time Dynamics of the Schwinger Model as an Open Quantum System with Neural Density Operators
Joshua Lin, Di Luo, Xiaojun Yao +1
Ab-initio simulations of multiple heavy quarks propagating in a Quark-Gluon Plasma are computationally difficult to perform due to the large dimension of the space of density matri…
AI Alignment via Incentives and Correction
Rohit Agarwal, Joshua Lin, Mark Braverman +1
We study AI alignment through the lens of law-and-economics models of deterrence and enforcement. In these models, misconduct is not treated as an external failure, but as a strate…
Dirac Traces and the Tutte Polynomial
Joshua Lin
Perturbative calculations involving fermion loops in quantum field theories require tracing over Dirac matrices. A simple way to regulate the divergences that generically appear in…
An algorithm for computing root multiplicities in Kac-Moody algebras
Aidan Backus, Peter Connick, Joshua Lin
Root multiplicities encode information about the structure of Kac-Moody algebras, and appear in applications as far-reaching as string theory and the theory of modular functions. W…
Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study
Zhongyi Zhang, Guixia Li, Ziqiang Wang +7
Despite high global prevalence of hepatic steatosis, no automated diagnostics demonstrated generalizability in detecting steatosis on multiple international datasets. Traditionally…
Position-space renormalization schemes for four-quark operators in HQET
Joshua Lin, William Detmold, Stefan Meinel
X-space schemes are gauge-invariant, regulator-independent renormalization schemes that are defined by requiring position-space correlation functions of gauge invariant operators t…
Quantum tunneling from excited states in the steadyon picture
Joshua Lin, Bruno Scheihing-Hitschfeld, Thomas Steingasser
Recent developments in the understanding of real-time path integrals led to the development of the ``steadyon picture'' for the semi-classical calculation of quantum tunneling rate…
Nucleon Parton Distribution Functions from Boosted Correlations in the Coulomb gauge
Xiang Gao, Jinchen He, Joshua Lin +4
Recently, a novel approach has been proposed to compute parton distributions through the use of boosted correlators fixed in the Coulomb gauge from lattice QCD, within the framewor…
Lattice Study of Spectator Effects in -hadron Decays
Joshua Lin, William Detmold, Stefan Meinel
The Heavy Quark Expansion (HQE) gives an expansion of inclusive decay rates of -hadrons as a simultaneous series in and , in terms of perturbatively defined coeffi…
Boosting with Machine Learning
Joshua Lin, Marat Freytsis, Ian Moult +1
High Higgs production at hadron colliders provides a direct probe of the internal structure of the loop with the decay offering the most statistic…