ACAT 2021

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Local Meetings

Track 3: Computations in Theoretical Physics: Techniques and Methods

Summaries session

Lightning talks session

Lightning talks session

Track 2: Data Analysis - Algorithms and Tools

Track 1: Computing Technology for Physics Research

Welcome

Social Drink and Registration

Plenary

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Contributions*

A factorisation-aware Matrix element emulator (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

A First Application of Collaborative Learning In Particle Physics (in session "Track 2: Data Analysis - Algorithms and Tools")

A novel ML approach for the reconstruction of particle showers with a tracking detector (in session "Track 2: Data Analysis - Algorithms and Tools")

A vendor-agnostic, single code-based GPU tracking for the Inner Tracking System of the ALICE experiment (in session "Track 2: Data Analysis - Algorithms and Tools")

Accelerating RooFit with GPUs (in session "Track 2: Data Analysis - Algorithms and Tools")

Accelerating the Inference Time of Machine Learning-based Track Finding Pipeline (in session "Track 1: Computing Technology for Physics Research")

Algorithms and Sampling for Amplitude Level Evolution (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

An Imperfect Machine to search for New Physics: a way to include systematic uncertainties (in session "Track 2: Data Analysis - Algorithms and Tools")

An open-source machine learning framework for global analyses of parton distributions (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Anomaly Detection of I/O behaviors in HEP computing cluster based on unsupervised machine learning (in session "Track 1: Computing Technology for Physics Research")

Application of the Quantum Kernel Algorithm on the Particle Identification at the BESIII Experiment (in session "Track 2: Data Analysis - Algorithms and Tools")

Artificial Proto-Modelling: Building Precursors of a Next Standard Model from Simplified Model Results (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

AtlFast3: The next generation of fast simulation in ATLAS (in session "Track 2: Data Analysis - Algorithms and Tools")

Autonomous Driving, the missing piece (in session "Plenary")

Biomimetic neural network inspired by human hearing (in session "Plenary")

Clustering in the Heterogeneous Reconstruction Chain of the CMS HGCAL Detector (in session "Track 1: Computing Technology for Physics Research")

CMS High Level Trigger performance comparison on CPUs and GPUs (in session "Track 1: Computing Technology for Physics Research")

Comments from the Local Organizers (in session "Summaries session")

Commissioning LHCb's GPU High Level Trigger (in session "Track 1: Computing Technology for Physics Research")

Computational algebraic geometry, p-adic numbers and fast linear algebra for scattering amplitude ansätze (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Concluding Remarks (in session "Summaries session")

Declarative interfaces for HEP data analysis: FuncADL and ADL/CutLang (in session "Track 2: Data Analysis - Algorithms and Tools")

Demonstration of FPGA Acceleration of Monte Carlo Simulation (in session "Track 1: Computing Technology for Physics Research")

Design of a request/response buffering application for I/O intensive workloads (in session "Track 1: Computing Technology for Physics Research")

detray - A compile-time polymorphic tracking geometry description (in session "Track 1: Computing Technology for Physics Research")

Development of the automatic procedures for spinor matrix element calculation with massive particles. (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Elimination of Negative Event Weights in Monte Carlo Samples (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

End to end learning with an Optical Processing Unit (in session "Track 1: Computing Technology for Physics Research")

Evaluating awkward arrays, uproot, and coffea as a query platform for High Energy Physics data (in session "Track 1: Computing Technology for Physics Research")

Evaluating Query Languages and Systems for High-Energy Physics Data (in session "Track 1: Computing Technology for Physics Research")

Event reconstruction in JUNO (in session "Track 2: Data Analysis - Algorithms and Tools")

Expansion by regions & Monte Carlo integration with pySecDec (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Exploring data merging methods for a distributed processing system (in session "Track 1: Computing Technology for Physics Research")

FeynCalc goes multiloop (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Generating muonic forces carriers with classical and quantum neural networks (contribution ID 626) (in session "Track 2: Data Analysis - Algorithms and Tools")

Generators and the (Accelerated) Future (in session "Plenary")

GPU Acceleration of Automatic Differentiation in C++ with Clad (in session "Track 1: Computing Technology for Physics Research")

GPU Acceleration of the ATLAS Calorimeter Clustering Algorithm (in session "Track 1: Computing Technology for Physics Research")

High-performance Analysis, Today and Tomorrow (in session "Plenary")

Higher order QCD corrections and effective operators in Higgs boson pair production (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

How WHO helps to fight the COVID pandemic with data (in session "Plenary")

Hyperparameter Optimization of Data-Driven AI models on HPC Systems (in session "Track 2: Data Analysis - Algorithms and Tools")

Introduction (in session "Welcome")

Lessons learned in Python-C++ integration (in session "Track 1: Computing Technology for Physics Research")

Looking for new physics in the LHC hardware trigger with Deep Autoencoders (in session "Track 2: Data Analysis - Algorithms and Tools")

Machine Learning Efforts in SHERPA (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Machine Learning for LHC Theory (in session "Plenary")

Machine learning for particle flow reconstruction at CMS (in session "Track 2: Data Analysis - Algorithms and Tools")

MadJax - differentiable Matrix Elements with JAX (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Managing Heterogeneous Device Memory using C++17 Memory Resources (in session "Track 1: Computing Technology for Physics Research")

Meta-learning for multiple detector geometry modelling (in session "Track 2: Data Analysis - Algorithms and Tools")

Mixed QCD-EW two-loop amplitudes for neutral current Drell-Yan production (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Modern multiloop calculations: Search for new algorithms and fast computer algebra systems (in session "Plenary")

Monte Carlo challenges for Non Perturbative QED (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

NA61/SHINE online noise filtering using machine learning methods (in session "Lightning talks session")

New method of fast calculating lepton magnetic moments in quantum electrodynamics (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Numerical Regularization for 4-loop Self-Energy Feynman Diagrams (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Offline Software Framework for the Super Tau Charm Facility (in session "Track 1: Computing Technology for Physics Research")

Offloading electromagnetic shower transport to GPUs: the AdePT project (in session "Track 1: Computing Technology for Physics Research")

Optimising simulations for diphoton production at hadron colliders using amplitude neural networks (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Outlook on software framework in nuclear physics (in session "Plenary")

Parallel processing in data analysis of the JUNO experiment (in session "Track 1: Computing Technology for Physics Research")

Precise simulation of drift chamber in the CEPC experiment (in session "Track 2: Data Analysis - Algorithms and Tools")

Predicting Alice Grid throughput using recurrent neural networks (in session "Track 1: Computing Technology for Physics Research")

Predicting Calibrations using AI for the Central Drift Chamber in GlueX at Jefferson Lab (in session "Track 2: Data Analysis - Algorithms and Tools")

Qibo: towards a quantum computing open source OS (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Quantum Computing for Data Science (in session "Plenary")

Quantum Computing: where is it going and what is it good for? (in session "Plenary")

Quantum Machine Learning in the Latent Space of HEP Events (in session "Track 2: Data Analysis - Algorithms and Tools")

Racing for what? Acceleration and Competition in the Academic Sciences (in session "Plenary")

Reconstruction and Particle Identification with CYGNO Experiment (in session "Lightning talks session")

Reconstruction for Liquid Argon TPC Neutrino Detectors Using Parallel Architectures (in session "Track 1: Computing Technology for Physics Research")

REvolver: Automated running and matching of couplings and masses in QCD (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

ROOT Files Improved with Extreme Compression (in session "Track 1: Computing Technology for Physics Research")

Self-Organizing-Maps in high energy particle physics (in session "Track 2: Data Analysis - Algorithms and Tools")

Signal to background discrimination for the production of double Higgs boson events via vector boson fusion mechanism in the decay channel with four charged leptons and two b-jets in the final state at the LHC experiment (in session "Lightning talks session")

Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders (in session "Track 2: Data Analysis - Algorithms and Tools")

Summary (in session "Summaries session")

Supernova Light Curves Approximation based on Neural Network Models (in session "Track 2: Data Analysis - Algorithms and Tools")

tapir: A multi-loop tool for Feynman diagram reduction and manipulation (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Testing the boundaries: Normalizing Flows for higher dimensional data sets. (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

The ATLAS Data Carousel Project Status and Plans. (in session "Track 1: Computing Technology for Physics Research")

The Higgs plus three-gluon amplitude at one loop with pySecDec (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

The Iterative Clustering framework for the CMS HGCAL Reconstruction (in session "Track 2: Data Analysis - Algorithms and Tools")

The new GeoModel suite, a lightweight detector description and visualization toolkit for HEP (in session "Track 1: Computing Technology for Physics Research")

The static self-energy (and plaquette) at large orders in perturbation theory (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Towards Reliable Neural Generative Modeling of Detectors (in session "Track 2: Data Analysis - Algorithms and Tools")

Track reconstruction with quantum computers at LUXE (in session "Track 2: Data Analysis - Algorithms and Tools")

Two-loop QCD amplitudes for Higgs production with a bottom quark pair (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Understanding Machine Learning via Exactly Solvable Statistical Physics Models (in session "Plenary")

Unsupervised Machine Learning for New Physics Searches (in session "Plenary")

Using ROOT to analyse High-Frequency Finance Data (in session "Track 2: Data Analysis - Algorithms and Tools")

Verifying Mathematical Proofs with Computers (in session "Plenary")

Welcome Address by the IBS President (in session "Welcome")

Welcome and Logistics (in session "Welcome")

Z-vertex Track Trigger operation in 2021 for Belle II - a hardware perspective (in session "Track 1: Computing Technology for Physics Research")

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28/11/2021

29/11/2021

30/11/2021

01/12/2021

02/12/2021

03/12/2021

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