FALCON is a novel conformal prediction technique that learns locally calibrated confidence intervals for neural network surrogates modeling LHC scattering amplitudes.
Event Generators for High-Energy Physics Experiments
8 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
abstract
We provide an overview of the status of Monte-Carlo event generators for high-energy particle physics. Guided by the experimental needs and requirements, we highlight areas of active development, and opportunities for future improvements. Particular emphasis is given to physics models and algorithms that are employed across a variety of experiments. These common themes in event generator development lead to a more comprehensive understanding of physics at the highest energies and intensities, and allow models to be tested against a wealth of data that have been accumulated over the past decades. A cohesive approach to event generator development will allow these models to be further improved and systematic uncertainties to be reduced, directly contributing to future experimental success. Event generators are part of a much larger ecosystem of computational tools. They typically involve a number of unknown model parameters that must be tuned to experimental data, while maintaining the integrity of the underlying physics models. Making both these data, and the analyses with which they have been obtained accessible to future users is an essential aspect of open science and data preservation. It ensures the consistency of physics models across a variety of experiments.
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A parton-shower-inspired local subtraction scheme for double-real corrections in color singlet decays is introduced, with finiteness verified for the e+e- to qqbar remainder and phase-space integrals computed analytically and via sector decomposition.
A reweighting method is introduced to efficiently study and tune MPI and CR parameter variations in Sherpa using relative weights, demonstrated with LHC and Tevatron data.
A resonance- and width-aware parton shower with NLO matching is developed for e+e- to W+W- bbbar, extending beyond standard Breit-Wigner approximations, with a public SHERPA-based simulator.
Vistas is an interactive 3D visualization interface that renders distinct computational stages of Pythia Monte Carlo events as toggleable particle lines with kinematic filters.
A framework based on the YFS theorem enables process-independent local IR subtraction and resummation matching for automated NNLO_EW calculations in lepton collider processes.
The 2026 DPHEP report records substantial progress in HEP data preservation, including modern reanalyses of LEP legacy data and expanding open-data policies, alongside sustainability challenges.
The MUSES Calliope engine computes multi-dimensional QCD equations of state, merges them consistently, and feeds them into viscous hydrodynamic simulations of heavy-ion collisions with movable critical points and critical scaling in transport coefficients.
citing papers explorer
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Local Conformal Predictions for Calibrated Surrogates
FALCON is a novel conformal prediction technique that learns locally calibrated confidence intervals for neural network surrogates modeling LHC scattering amplitudes.
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Double-real corrections to color singlet decay in a parton-shower inspired scheme
A parton-shower-inspired local subtraction scheme for double-real corrections in color singlet decays is introduced, with finiteness verified for the e+e- to qqbar remainder and phase-space integrals computed analytically and via sector decomposition.
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Reweighting Underlying Event and Colour Reconnection parameter variations in Sherpa
A reweighting method is introduced to efficiently study and tune MPI and CR parameter variations in Sherpa using relative weights, demonstrated with LHC and Tevatron data.
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Resonance- and Width-aware Parton Shower Evolution and NLO Matching
A resonance- and width-aware parton shower with NLO matching is developed for e+e- to W+W- bbbar, extending beyond standard Breit-Wigner approximations, with a public SHERPA-based simulator.
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Vistas: A Visualization Interface for Particle Collision Simulations
Vistas is an interactive 3D visualization interface that renders distinct computational stages of Pythia Monte Carlo events as toggleable particle lines with kinematic filters.
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Towards a Fully Automated Differential $\text{NNLO}_\text{EW}$ Generator for Lepton Colliders
A framework based on the YFS theorem enables process-independent local IR subtraction and resummation matching for automated NNLO_EW calculations in lepton collider processes.
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Data Preservation in High Energy Physics: Global Report 2026
The 2026 DPHEP report records substantial progress in HEP data preservation, including modern reanalyses of LEP legacy data and expanding open-data policies, alongside sustainability challenges.
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Studying the QCD Matter produced in Heavy-Ion Collisions using the MUSES Calculation Engine
The MUSES Calliope engine computes multi-dimensional QCD equations of state, merges them consistently, and feeds them into viscous hydrodynamic simulations of heavy-ion collisions with movable critical points and critical scaling in transport coefficients.