scholarly journals Analysis-Specific Fast Simulation at the LHC with Deep Learning

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
C. Chen ◽  
O. Cerri ◽  
T. Q. Nguyen ◽  
J. R. Vlimant ◽  
M. Pierini
Keyword(s):  
Neural Network ◽  
High Energy Physics ◽  
High Energy ◽  
Fast Simulation ◽  
Proton Proton ◽  
Detector Resolution ◽  
Generation Level ◽  
Order Of Magnitude ◽  
And Storage ◽  
Proton Proton Collisions

AbstractWe present a fast-simulation application based on a deep neural network, designed to create large analysis-specific datasets. Taking as an example the generation of W + jet events produced in $$\sqrt{s}=$$ s =  13 TeV proton–proton collisions, we train a neural network to model detector resolution effects as a transfer function acting on an analysis-specific set of relevant features, computed at generation level, i.e., in absence of detector effects. Based on this model, we propose a novel fast-simulation workflow that starts from a large amount of generator-level events to deliver large analysis-specific samples. The adoption of this approach would result in about an order-of-magnitude reduction in computing and storage requirements for the collision simulation workflow. This strategy could help the high energy physics community to face the computing challenges of the future High-Luminosity LHC.

scholarly journals Porting HEP Parameterized Calorimeter Simulation Code to GPUs

2021 ◽  
Vol 4 ◽  
Author(s):  
Zhihua Dong ◽  
Heather Gray ◽  
Charles Leggett ◽  
Meifeng Lin ◽  
Vincent R. Pascuzzi ◽  
...  
Keyword(s):  
Data Analysis ◽  
High Energy Physics ◽  
Hadron Collider ◽  
High Energy ◽  
Simulation Code ◽  
Proton Proton ◽  
Proton Collisions ◽  
Data Rates ◽  
The Many ◽  
Proton Proton Collisions

The High Energy Physics (HEP) experiments, such as those at the Large Hadron Collider (LHC), traditionally consume large amounts of CPU cycles for detector simulations and data analysis, but rarely use compute accelerators such as GPUs. As the LHC is upgraded to allow for higher luminosity, resulting in much higher data rates, purely relying on CPUs may not provide enough computing power to support the simulation and data analysis needs. As a proof of concept, we investigate the feasibility of porting a HEP parameterized calorimeter simulation code to GPUs. We have chosen to use FastCaloSim, the ATLAS fast parametrized calorimeter simulation. While FastCaloSim is sufficiently fast such that it does not impose a bottleneck in detector simulations overall, significant speed-ups in the processing of large samples can be achieved from GPU parallelization at both the particle (intra-event) and event levels; this is especially beneficial in conditions expected at the high-luminosity LHC, where extremely high per-event particle multiplicities will result from the many simultaneous proton-proton collisions. We report our experience with porting FastCaloSim to NVIDIA GPUs using CUDA. A preliminary Kokkos implementation of FastCaloSim for portability to other parallel architectures is also described.

scholarly journals Small systems at the LHC

2018 ◽  
Vol 171 ◽  
pp. 11003 ◽  
Author(s):  
Roberto Preghenella
Keyword(s):  
High Energy Physics ◽  
Heavy Ion ◽  
High Energy ◽  
Proton Proton ◽  
Small Systems ◽  
Proton Collisions ◽  
Strangeness Enhancement ◽  
Proton Proton Collisions ◽  
Energy Physics ◽  
Selection Of

In these proceedings, I report on a selection of recent LHC results in small systems from ALICE [1], ATLAS [2] and CMS [3] experiments. Due to the fact that the investigation of QCD in small systems at high multiplicity is becoming an increasingly large subject, interesting the heavy-ion community and more in general the high-energy physics community, not all the related topics can be discussed in this paper. The focus will be given to some of the measurements addressing the physics of collective phenomena in small systems and to the recent results on strangeness enhancement in proton-proton collisions. The reader must be informed that a large number of interesting results did not find space in the discussion reported here.

scholarly journals RENORMALIZATION GROUP EVOLUTION OF MULTI-GLUON CORRELATORS IN HIGH ENERGY QCD

2012 ◽  
Vol 20 ◽  
pp. 214-221
Author(s):  
JAMAL JALILIAN-MARIAN
Keyword(s):  
Particle Production ◽  
High Energy ◽  
Forward Rapidity ◽  
Proton Proton ◽  
Proton Collisions ◽  
Angular Correlations ◽  
Energy Proton ◽  
Group Evolution ◽  
Proton Proton Collisions ◽  
Made In

Forward rapidity di-hadron azimuthal angular correlations in high energy proton-nucleus and proton-proton collisions are sensitive to quadrupoles; traceless correlator of 4 Wilson lines whereas single inclusive particle production iNVOLVES only dipoles, traceless correlator of 2 Wilson lines. We discuss the progress made in understanding the energy (rapidity) evolution of the quadrupole as well as its various limits.

scholarly journals Fast simulation of the electromagnetic calorimeter response using Self-Attention Generative Adversarial Networks

2021 ◽  
Vol 251 ◽  
pp. 03043
Author(s):  
Fedor Ratnikov ◽  
Alexander Rogachev
Keyword(s):  
Network Architecture ◽  
High Energy Physics ◽  
Hadron Collider ◽  
High Energy ◽  
Electromagnetic Calorimeter ◽  
Generative Adversarial Networks ◽  
Fast Simulation ◽  
Generative Adversarial Network ◽  
Adversarial Network ◽  
Adversarial Networks

Simulation is one of the key components in high energy physics. Historically it relies on the Monte Carlo methods which require a tremendous amount of computation resources. These methods may have difficulties with the expected High Luminosity Large Hadron Collider need, so the experiment is in urgent need of new fast simulation techniques. The application of Generative Adversarial Networks is a promising solution to speed up the simulation while providing the necessary physics performance. In this paper we propose the Self-Attention Generative Adversarial Network as a possible improvement of the network architecture. The application is demonstrated on the performance of generating responses of the LHCb type of the electromagnetic calorimeter.

scholarly journals Proposal to study inelastic high energy proton-proton collisions in the diffractive region

1970 ◽  
Author(s):  
P. Franzini ◽  
S. Zubarik ◽  
/Columbia U. ◽  
Juliet Lee-Franzini ◽  
J. Cole ◽  
...  
Keyword(s):  
High Energy ◽  
High Energy Proton ◽  
Proton Proton ◽  
Proton Collisions ◽  
Energy Proton ◽  
Proton Proton Collisions
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