47 citations · 161 across the 6 of their papers we have counts for
6 papers
Geometry Optimization for Long-lived Particle Detectors
Thomas Gorordo, Simon Knapen, Benjamin Nachman +2
The proposed designs of many auxiliary long-lived particle (LLP) detectors at the LHC call for the instrumentation of a large surface area inside the detector volume, in order to r…
Higher spin 3-point functions in 3d CFT using spinor-helicity variables
Sachin Jain, Renjan Rajan John, Abhishek Mehta +2
In this paper we use the spinor-helicity formalism to calculate 3-point functions involving scalar operators and spin- conserved currents in general 3d CFTs. In spinor-helicity…
Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution
Anders Andreassen, Patrick T. Komiske, Eric M. Metodiev +3
A common setting for scientific inference is the ability to sample from a high-fidelity forward model (simulation) without having an explicit probability density of the data. We pr…
Double copy structure of parity-violating CFT correlators
Sachin Jain, Renjan Rajan John, Abhishek Mehta +2
We show that general parity-violating 3d conformal field theories show a double copy structure for momentum space 3-point functions of conserved currents, stress tensor and margina…
Momentum space parity-odd CFT 3-point functions
Sachin Jain, Renjan Rajan John, Abhishek Mehta +2
We study the parity-odd sector of 3-point functions comprising of scalar operators and conserved currents in conformal field theories in momentum space. We use momentum space confo…
Parameter Estimation using Neural Networks in the Presence of Detector Effects
Anders Andreassen, Shih-Chieh Hsu, Benjamin Nachman +2
Histogram-based template fits are the main technique used for estimating parameters of high energy physics Monte Carlo generators. Parametrized neural network reweighting can be us…