Search Menu
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information
Search Scholarly Publications

Title: CaloFlow for CaloChallenge dataset 1

Journal Article · · SciPost Physics
ORCiD logo; ;

CALOFLOW is a new and promising approach to fast calorimeter simulation based on normalizing flows. Applying CALOFLOW to the photon and charged pion ≥ant showers of Dataset 1 of the Fast Calorimeter Simulation Challenge 2022, we show how it can produce high-fidelity samples with a sampling time that is several orders of magnitude faster than ≥ant. We demonstrate the fidelity of the samples using calorimeter shower images, histograms of high level features, and aggregate metrics such as a classifier trained to distinguish CALOFLOW from ≥ant samples.

Research Organization:
Rutgers Univ., Piscataway, NJ (United States)
Sponsoring Organization:
USDOE; USDOE Office of Science (SC)
Grant/Contract Number:
SC0010008
OSTI ID:
2350862
Journal Information:
SciPost Physics, Journal Name: SciPost Physics Journal Issue: 5 Vol. 16; ISSN 2542-4653
Publisher:
Stichting SciPostCopyright Statement
Country of Publication:
Netherlands
Language:
English

References (47)

Generating and Refining Particle Detector Simulations Using the Wasserstein Distance in Adversarial Networks journal July 2018
Precise Simulation of Electromagnetic Calorimeter Showers Using a Wasserstein Generative Adversarial Network journal January 2019
Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed journal May 2021
AtlFast3: The Next Generation of Fast Simulation in ATLAS journal March 2022
Deep Generative Models for Fast Photon Shower Simulation in ATLAS journal March 2024
Geant4—a simulation toolkit
  • Agostinelli, S.; Allison, J.; Amako, K.
  • Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 506, Issue 3 https://doi.org/10.1016/S0168-9002(03)01368-8
journal July 2003
Recent developments in Geant4
  • Allison, J.; Amako, K.; Apostolakis, J.
  • Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 835 https://doi.org/10.1016/j.nima.2016.06.125
journal November 2016
Array programming with NumPy journal September 2020
Decoding Photons: Physics in the Latent Space of a BIB-AE Generative Network journal January 2021
Fast and Accurate Electromagnetic and Hadronic Showers from Generative Models journal January 2021
Controlling Physical Attributes in GAN-Accelerated Simulation of Electromagnetic Calorimeters journal September 2018
i- flow : High-dimensional integration and sampling with normalizing flows journal November 2020
Hadrons, better, faster, stronger journal June 2022
Piecewise Rational Quadratic Interpolation to Monotonic Data journal January 1982
Event generation with normalizing flows journal April 2020
Score-based generative models for calorimeter shower simulation journal November 2022
Fast and accurate simulations of calorimeter showers with normalizing flows journal June 2023
Accelerating accurate simulations of calorimeter showers with normalizing flows and probability density distillation journal June 2023
Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multilayer Calorimeters journal January 2018
CaloGAN: Simulating 3D high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks journal January 2018
Matplotlib: A 2D Graphics Environment journal January 2007
Geant4 developments and applications journal February 2006
Normalizing Flows: An Introduction and Review of Current Methods journal January 2020
Cyclical Learning Rates for Training Neural Networks conference March 2017
Super-convergence: very fast training of neural networks using large learning rates conference May 2019
Calorimetry with deep learning: particle simulation and reconstruction for collider physics journal July 2020
Inference of cosmic-ray source properties by conditional invertible neural networks journal February 2022
Electromagnetic Calorimeter Shower Images dataset January 2017
Phase space sampling and inference from weighted events with autoregressive flows journal January 2021
Measuring QCD Splittings with Invertible Networks journal June 2021
Targeting multi-loop integrals with neural networks journal April 2022
Understanding Event-Generation Networks via Uncertainties journal July 2022
Event Generation and Density Estimation with Surjective Normalizing Flows journal September 2022
Ephemeral Learning - Augmenting Triggers with Online-Trained Normalizing Flows journal October 2022
Generative networks for precision enthusiasts journal April 2023
$\nu$-flows: Conditional neutrino regression journal June 2023
Two invertible networks for the matrix element method journal September 2023
Exploring phase space with Neural Importance Sampling journal January 2020
Invertible networks or partons to detector and back again journal January 2020
Adam: A Method for Stochastic Optimization preprint January 2014
On Calibration of Modern Neural Networks preprint January 2017
nflows: normalizing flows in PyTorch software November 2020
FastCaloGAN Training Project software October 2021
Fast Calorimeter Simulation Challenge 2022 - Dataset 1 dataset January 2023
Fast Calorimeter Simulation Challenge 2022 - Dataset 2 dataset January 2022
Fast Calorimeter Simulation Challenge 2022 - Dataset 3 dataset January 2022
Datasets used to train the Generative Adversarial Networks used in ATLFast3 dataset January 2021

Similar Records

Related Subjects

Physics