31 citations · 55 across the 7 of their papers we have counts for
15 papers
Machine Learning-Assisted Measurement of Lepton-Jet Azimuthal Angular Asymmetries in Deep-Inelastic Scattering at HERA
The H1 collaboration, V. Andreev, M. Arratia +141
In deep-inelastic positron-proton scattering, the lepton-jet azimuthal angular asymmetry is measured using data collected with the H1 detector at HERA. When the average transverse…
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka +66
We present the results of the "Fast Calorimeter Simulation Challenge 2022" - the CaloChallenge. We study state-of-the-art generative models on four calorimeter shower datasets of i…
Pay Attention To Mean Fields For Point Cloud Generation
Benno Käch, Isabell Melzer-Pellmann, Dirk Krücker
Collider data generation with machine learning has become increasingly popular in particle physics due to the high computational cost of conventional Monte Carlo simulations, parti…
CaloPointFlow II Generating Calorimeter Showers as Point Clouds
Simon Schnake, Dirk Krücker, Kerstin Borras
The simulation of calorimeter showers presents a significant computational challenge, impacting the efficiency and accuracy of particle physics experiments. While generative ML mod…
Observation and differential cross section measurement of neutral current DIS events with an empty hemisphere in the Breit frame
The H1 collaboration, V. Andreev, M. Arratia +146
The Breit frame provides a natural frame to analyze lepton-proton scattering events. In this reference frame, the parton model hard interactions between a quark and an exchanged bo…
DeepTreeGAN: Fast Generation of High Dimensional Point Clouds
Moritz Alfons Wilhelm Scham, Dirk Krücker, Benno Käch +1
In High Energy Physics, detailed and time-consuming simulations are used for particle interactions with detectors. To bypass these simulations with a generative model, the generati…
Search for stealth supersymmetry in final states with two photons, jets, and low missing transverse momentum in proton-proton collisions at = 13 TeV
CMS Collaboration
The results of a search for stealth supersymmetry in final states with two photons and jets, targeting a phase space region with low missing transverse momentum ($p_\text{T}^\text{…
Volumetric Benchmarking of Quantum Computing Noise Models
Tom Weber, Kerstin Borras, Karl Jansen +2
The main challenge of quantum computing on its way to scalability is the erroneous behaviour of current devices. Understanding and predicting their impact on computations is essent…
JetFlow: Generating Jets with Conditioned and Mass Constrained Normalising Flows
Benno Käch, Dirk Krücker, Isabell Melzer-Pellmann +3
Fast data generation based on Machine Learning has become a major research topic in particle physics. This is mainly because the Monte Carlo simulation approach is computationally…
Point Cloud Generation using Transformer Encoders and Normalising Flows
Benno Käch, Dirk Krücker, Isabell Melzer-Pellmann
Data generation based on Machine Learning has become a major research topic in particle physics. This is due to the current Monte Carlo simulation approach being computationally ch…
Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research
Travis S. Humble, Andrea Delgado, Raphael Pooser +23
Quantum computing offers a new paradigm for advancing high-energy physics research by enabling novel methods for representing and reasoning about fundamental quantum mechanical phe…
Impact of jet-production data on the next-to-next-to-leading-order determination of HERAPDF2.0 parton distributions
H1, ZEUS Collaborations, : +234
The HERAPDF2.0 ensemble of parton distribution functions (PDFs) was introduced in 2015. The final stage is presented, a next-to-next-to-leading-order (NNLO) analysis of the HERA da…
Direct optimisation of the discovery significance when training neural networks to search for new physics in particle colliders
Adam Elwood, Dirk Krücker
We introduce two new loss functions designed to directly optimise the statistical significance of the expected number of signal events when training neural networks to classify eve…
New Particles Working Group Report of the Snowmass 2013 Community Summer Study
Y. Gershtein, M. Luty, M. Narain +92
This report summarizes the work of the Energy Frontier New Physics working group of the 2013 Community Summer Study (Snowmass).
Non-Simplified SUSY: stau-Coannihilation at LHC and ILC
M. Berggren, A. Cakir, D. Krücker +3
Simplified models have become a widely used and important tool to cover the more diverse phenomenology beyond constrained SUSY models. However, they come with a substantial number…