ACAT 2019

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Poster Session

Plenary

Track 3: Computations in Theoretical Physics: Techniques and Methods

Track 2: Data Analysis - Algorithms and Tools

Track 1: Computing Technology for Physics Research

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Contributions*

A 3D Track Finder for the Belle II CDC L1 Trigger (in session "Track 2: Data Analysis - Algorithms and Tools")

A 30 MHz software trigger and reconstruction for the LHCb upgrade (in session "Track 1: Computing Technology for Physics Research")

A hybrid deep learning approach to vertexing (in session "Track 2: Data Analysis - Algorithms and Tools")

A more Pythonic, Interoperable and Modern PyROOT (in session "Track 1: Computing Technology for Physics Research")

ACAT 2019 Summary (in session "Plenary")

Accelerating dark matter search in emulsion SHiP detector by Deep Learning (in session "Track 2: Data Analysis - Algorithms and Tools")

Adversarial Neural Network-based data-simulation corrections for jet-tagging at CMS (in session "Track 2: Data Analysis - Algorithms and Tools")

Air shower reconstruction with hexagonal convolutional neural networks (in session "Track 2: Data Analysis - Algorithms and Tools")

Algorithm to find an all-order in the running coupling solution to an equation of the DGLAP type (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

An analytics driven computing model for HL-LHC (in session "Track 1: Computing Technology for Physics Research")

Automated and Intelligent Data Migration Strategy in High Energy Physical Storage Systems (in session "Track 1: Computing Technology for Physics Research")

Automatic Differentiation and Deep Learning (in session "Plenary")

Belle2VR – An Interactive Virtual Reality Visualization of GEANT4 Event Histories (in session "Track 2: Data Analysis - Algorithms and Tools")

Best Track 1 poster: Physics and computing performance of reconstruction algorithms for the GPU High Level Trigger 1 of LHCb (in session "Plenary")

Best Track 2 poster: Tracking performance for long living particles at LHCb (in session "Plenary")

Beyond the Roadmap: HL-LHC HEP Software (in session "Plenary")

Charged Particle Tracking as a QUBO problem solved with Quantum Annealing-Inspired Optimization (in session "Track 2: Data Analysis - Algorithms and Tools")

CMS Software and Offline preparation for future runs (in session "Track 1: Computing Technology for Physics Research")

Computational challenges for Generators (in session "Plenary")

Computations in Laser Particle Acceleration: heterogenous, parallel computing for physicists (in session "Plenary")

Computer algebra in physics research: algorithms, systems and modern developments (in session "Plenary")

Computing Architectures in the HL-LHC era (in session "Plenary")

ConformalTracking: a geometry agnostic tracking library (in session "Track 2: Data Analysis - Algorithms and Tools")

Constructing mass-decorrelated hadonic decay taggers in ATLAS (in session "Track 2: Data Analysis - Algorithms and Tools")

Continuous Analysis in ATLAS: Running User-Defined Container Images on the Grid (in session "Track 1: Computing Technology for Physics Research")

Core software challenges of the GPU High Level Trigger 1 of LHCb (in session "Track 1: Computing Technology for Physics Research")

Cross-domain Data Access System for Distributed Sites in HEP (in session "Track 1: Computing Technology for Physics Research")

Data-driven Monte Carlo Generator for Low Energy e+e- Annihilation to Hadrons (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

DataForge: declarative approach to scientific data processing automation (in session "Track 1: Computing Technology for Physics Research")

Decoding the nature of Dark matter at current and future experiments (in session "Plenary")

Deep Learning based Algorithms in Astroparticle Physics (in session "Track 2: Data Analysis - Algorithms and Tools")

Deep learning for certification of the quality of the data acquired by the CMS experiment (in session "Track 1: Computing Technology for Physics Research")

Denis Perret-Gallix (1949-2018) (in session "Plenary")

Design Pattern for Analysis Automation on Interchangeable, Distributed Resources using Luigi Analysis Workflows (in session "Track 1: Computing Technology for Physics Research")

Double Higgs boson production in the high- and low-energy limits (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Electromagnetic calorimeter reconstruction in Belle II (in session "Track 2: Data Analysis - Algorithms and Tools")

Electromagnetic-shower generation with Graphical GANs (in session "Track 2: Data Analysis - Algorithms and Tools")

Energy reconstruction of the ATLAS Tile Calorimeter under high pile-up conditions using the Wiener filter (in session "Track 2: Data Analysis - Algorithms and Tools")

Excursion Set Estimation using Sequential Entropy Reduction for Efficient Searches for New Physics at the LHC (in session "Track 2: Data Analysis - Algorithms and Tools")

Fast Data-Driven simulation of Cherenkov Detectors Using Generative Adversarial Networks. (in session "Track 2: Data Analysis - Algorithms and Tools")

Fast Deep Learning on FPGAs for the Phase-II L0 Muon Barrel Trigger of the ATLAS Experiment (in session "Track 1: Computing Technology for Physics Research")

Federated data storage evolution in HENP: data lakes and beyond (in session "Track 1: Computing Technology for Physics Research")

FPGA-accelerated machine learning inference as a solution for particle physics computing challenges (in session "Track 1: Computing Technology for Physics Research")

Full Event Intepretation at Belle II (in session "Track 2: Data Analysis - Algorithms and Tools")

Further developments of FORM (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Generative Adversarial Networks for fast simulation: generalisation and distributed training in HPC (in session "Track 1: Computing Technology for Physics Research")

Generative Models (in session "Plenary")

Global fits of BSM physics models with Gambit (in session "Track 2: Data Analysis - Algorithms and Tools")

GPU usage in theoretical calculations (in session "Plenary")

HEP.QPR Project: Quantum Pattern Recognition for Charged Particle Tracking (in session "Plenary")

HEP.TrkX Charged Particle Tracking using Graph Neural Networks (in session "Track 2: Data Analysis - Algorithms and Tools")

HepMC3 Event Record Library for Monte Carlo Event Generators (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Heterogenous computing for the local reconstruction algorithms of the CMS calorimeters (in session "Track 1: Computing Technology for Physics Research")

Higher-order QED contributions to the lepton anomalous magnetic moments (in session "Plenary")

Highly performant, Deep Neural Networks with sub-microsecond latency on FPGAs for trigger applications (in session "Track 1: Computing Technology for Physics Research")

hls4ml: deploying deep learning on FPGAs for trigger and data acquisition (in session "Track 2: Data Analysis - Algorithms and Tools")

Implicit cause models (in session "Plenary")

In-situ analysis and visualization of massively parallel computations of transitional and turbulent flows (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Incorporation of Systematic Uncertainties in the Training of Multivariate Methods (in session "Track 2: Data Analysis - Algorithms and Tools")

INFERNO: Inference-Aware Neural Optimisation (in session "Track 2: Data Analysis - Algorithms and Tools")

Keynote talk: Constraining effective field theories with machine learning (in session "Plenary")

Keynote talk: Probabilistic Programming and Inference in Particle Physics (in session "Plenary")

Keynote talk: The future of HEP computing (in session "Plenary")

Machine learning for an X-ray FEL (in session "Plenary")

Machine Learning helping Monte-Carlo collider simulations (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Machine learning in cosmology (in session "Plenary")

Machine Learning in Neutrino Physics (in session "Plenary")

Machine Learning on sWeighted data (in session "Track 2: Data Analysis - Algorithms and Tools")

Machine Learning Techniques in the ATLAS TDAQ Network Monitoring System (in session "Track 1: Computing Technology for Physics Research")

Making HPC friendly for scientists (in session "Plenary")

MCSANCee generator with one-loop electroweak corrections for processes with polarized e^+e^- beams (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Migrating large codebases to C++ Modules (in session "Track 1: Computing Technology for Physics Research")

Multi-threaded Event Reconstruction with JANA (in session "Track 1: Computing Technology for Physics Research")

Nested data structures in array and SIMD frameworks (in session "Track 1: Computing Technology for Physics Research")

Neuroscience and the Future of Computing (in session "Plenary")

New Features in FeynArts & Friends, and how they got used in FeynHiggs (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

New ROOT graphics language (in session "Track 1: Computing Technology for Physics Research")

Ntuples for NNLO processes (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Numerical calculation of high-order QED contributions to the electron anomalous magnetic moment (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Numerical multi-loop integration on heterogeneous many-core processors (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks on Many-Core Architectures with the CMS Detector (in session "Track 2: Data Analysis - Algorithms and Tools")

Particle Identification In PICO Using Semi-supervised Learning (in session "Track 2: Data Analysis - Algorithms and Tools")

Performance results of the GeantV prototype with complete EM physics (in session "Track 1: Computing Technology for Physics Research")

Physics inspired feature engineering with Lorentz Boost Networks (in session "Track 2: Data Analysis - Algorithms and Tools")

QED and electroweak radiative corrections to polarized Bhabha scattering (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Real-time cluster finding for LHCb silicon pixel VELO detector using FPGA (in session "Track 1: Computing Technology for Physics Research")

Real-time reconstruction of long-lived particles at LHCb using FPGAs. (in session "Track 2: Data Analysis - Algorithms and Tools")

Recent developments of GRACE system (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Recurrent GANs for particle-based simulation at the LHC (in session "Track 2: Data Analysis - Algorithms and Tools")

reFORM: designing a new symbolic manipulation toolkit (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Reinforced Jet Grooming (in session "Track 2: Data Analysis - Algorithms and Tools")

Reinforced Sorting Networks for Particle Physics Analyses (in session "Track 2: Data Analysis - Algorithms and Tools")

Renormalization of gauge theories at five loops (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Riemann-Theta Boltzmann Machine (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Rings: an efficient library for polynomial rings (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

RISC-V based, silicon proven open-source processors from the PULP project (in session "Plenary")

RooFit parallelization efforts (in session "Track 1: Computing Technology for Physics Research")

ROOT Based Analysis: From Data to Plots, Expressive, Easy and Fast (in session "Track 1: Computing Technology for Physics Research")

Round table discussion (in session "Plenary")

Round table: Machine Learning (in session "Plenary")

Selective background Monte Carlo simulation at Belle II (in session "Track 2: Data Analysis - Algorithms and Tools")

Simulating Diverse HEP Workflows on Heterogeneous Architectures (in session "Track 1: Computing Technology for Physics Research")

STAR Data Production Workflow on HPC: Lessons Learned & Best Practices (in session "Track 1: Computing Technology for Physics Research")

STR: a Mathematica package for the method of uniqueness (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Submanifold Sparse Convolutional Networks for Sparse, Locally Dense Particle Image Analysis (in session "Track 2: Data Analysis - Algorithms and Tools")

Thank you and good bye (in session "Plenary")

The ATLAS EventIndex and its evolution towards LHC Run 3 (in session "Track 1: Computing Technology for Physics Research")

The Central Hint and Information Processor system for automation, error detection and recovery in the ATLAS TDAQ Controls framework (in session "Track 1: Computing Technology for Physics Research")

The computing model of the LHCb Upgrade (in session "Track 1: Computing Technology for Physics Research")

The core software framework for the LHCb Upgrade (in session "Track 1: Computing Technology for Physics Research")

The NanoAOD event data format in CMS (in session "Track 1: Computing Technology for Physics Research")

The Practitioner’s C++17 and 20 News (in session "Track 1: Computing Technology for Physics Research")

The second generation of the ATLAS Production System: expertise and future evolution (in session "Track 1: Computing Technology for Physics Research")

The STEM paradox: Factors affecting diversity in STEM fields (in session "Plenary")

The “FELIX” detector interface for the ATLAS Trigger and Data Acquisition upgrades and its deployment in the ATLAS Inner Tracker demonstrator setup (in session "Track 1: Computing Technology for Physics Research")

Three loop QCD corrections to heavy quark form factors (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Toward an efficient evaluation of two-loop massive scalar integralss (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Towards a heterogeneous High Level Trigger farm for CMS (in session "Track 1: Computing Technology for Physics Research")

Towards the Increase in Granularity for the Main Hadronic ATLAS Calorimeter: Exploiting Deep Learning Methods (in session "Track 2: Data Analysis - Algorithms and Tools")

Track 1 summary (in session "Plenary")

Track 2 Summary (in session "Plenary")

Track 3 Summary (in session "Plenary")

TrackML : a tracking Machine Learning challenge (in session "Plenary")

Trilinear Higgs boson coupling variations for di-Higgs production with full NLO QCD predictions in POWHEG (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Uncertainty reduction by gradient descent (in session "Track 2: Data Analysis - Algorithms and Tools")

Updates on SModelS (in session "Track 3: Computations in Theoretical Physics: Techniques and Methods")

Using Deep Learning in Ultra-High Energy Cosmic Ray Experiments (in session "Plenary")

Using DODAS as deployment manager for smart caching of CMS data management system (in session "Track 1: Computing Technology for Physics Research")

Variational Autoencoders for New Physics Mining at the Large Hadron Collider (in session "Track 2: Data Analysis - Algorithms and Tools")

Variational Dropout Sparsification for Particle Identification speed-up. (in session "Track 2: Data Analysis - Algorithms and Tools")

Vectorization of random number generation and reproducibility of concurrent particle transport simulation (in session "Track 1: Computing Technology for Physics Research")

Weak signal extraction using matrix decomposition (in session "Track 2: Data Analysis - Algorithms and Tools")

Welcome to ACAT 2019 in Saas Fee! (in session "Plenary")

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Events scheduled on*

3/10/19

3/11/19

3/12/19

3/13/19

3/14/19

3/15/19

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