International Training Network for Statistics in High Energy Physics and Society

Deliverables

Completion of website

BAT

New release of BAT

Report on new unfolding techniques

Report, possibly a publication, on unfolding techniques

Pan-European School of Advanced of Statistics 2018

Pan-European School of Advanced of Statistics 2018 at DESY

Final Report on Communication and outreach activities both at local and EU level

Final report on outreach activities

Data Management Plan

Data management plan for the data used/produced by the project.

Publications

Integration with an Adaptive Harmonic Mean Algorithm

Author(s): Vasyl Hafych et al
Published in: 2020
Publisher: ArXiv

Sensitivity of the SHiP experiment to light dark matter

Author(s): A Golovatiuk et al
Published in: 2020
Publisher: ArXiv

Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Author(s): Sitong An
Published in: 2020
Publisher: ArXiv

Clustering of Experimental Seismo-Acoustic Events Using Self-Organizing Map (SOM)

Author(s): Flora Giudicepietro, Antonietta M. Esposito, Laura Spina, Andrea Cannata, Daniele Morgavi, Lukas Layer and Giovanni Macedonio
Published in: Frontiers in Earth Science, 2021
Publisher: Frontiers

Directionality preservation of nuclear recoils in an emulsion detector for directional dark matter search

Author(s): A. Alexandrov, G. De Lellis, A. Di Crescenzo, A. Golovatiuk and V. Tioukov
Published in: Journal of Cosmology and Astroparticle Physics, 2021
Publisher: IOP Science

End-to-end jet classification of quarks and gluons with the CMS Open Data

Author(s): Sitong An et al
Published in: Nuclear Instruments and Methods in Physics, Volume 977, 2020
Publisher: ScienceDirect

Deep learning for Directional Dark Matter search

Author(s): Artem Golovatiuk, Giovanni De Lellis and Andrey Ustyuzhanin
Published in: Journal of Physics, 2020
Publisher: IOP Science

The SHiP experiment at CERN

Author(s): A Golovatiuk et al
Published in: Proceedings of Science, 2019
Publisher: CERN

Comparison of unfolding methods using RooFitUnfold

Author(s): Pim Verschuuren, Rahul Balasubramanian et al
Published in: 2020
Publisher: ArXiv

The magnet of the scattering and neutrino detector for the SHiP experiment at CERN

Author(s): A Golovatiuk et al
Published in: Journal of Instrumentation, 2020
Publisher: IOP Science

Toward Machine Learning Optimization of Experimental Design

Author(s): Lukas Layer, Hevjin Yarar et al
Published in: Nuclear Physics News, Volume 31, 2021, Page(s) 25-28
Publisher: Taylor & Francis

Calorimetric Measurement of Multi-TeV Muons via Deep Regression

Author(s): Jan Kieseler, Giles C. Strong, Filippo Chiandotto, Tommaso Dorigo and Lukas Layer
Published in: The European Physical Journal, 2022
Publisher: Springer

Analysis of proton bunch parameters in the AWAKE experiment

Author(s): V Hafych et al
Published in: Journal of Instrumentation, 2021
Publisher: IOP Science

Scattering and Neutrino Detector at the LHC

Author(s): A Golovatiuk et al
Published in: 2021
Publisher: CERN

Parallelizing MCMC Sampling via Space Partitioning

Author(s): Vasyl Hafych, Philipp Eller, Oliver Schulz, Allen Caldwell
Published in: 2020
Publisher: ArXiv

Effective Lagrangian Morphing

Author(s): Rahul Balasubramanian et al
Published in: 2022
Publisher: arXiv

Measurements of top-quark pair single- and double-differential cross-sections in the all-hadronic channel in pp collisions at s√=13 TeV using the ATLAS detector

Author(s): Serena Palazzo et al
Published in: 2021
Publisher: arXiv.org

Deep Learning for direct Dark Matter search with nuclear emulsions

Author(s): Artem Golovatiuk et al
Published in: 2022
Publisher: ArXiv

Combined measurements of Higgs boson production and decay using up to 80 fb −1 of proton-proton collision data at √s=13 TeV collected with the ATLAS experiment

Author(s): R Balasubramanian et al (ATLAS Collaboration)
Published in: Physical Review, 2022
Publisher: APS Physics

Interval Arithmetics for Parameter Space Exploration

Author(s): Diego del Val
Published in: 2021
Publisher: ArXiv

The Phase-2 Upgrade of the CMS Data Acquisition and High Level Trigger Technical Design Report

Author(s): H Yarar et al (CMS Collaboration)
Published in: 2021
Publisher: CERN

Manipulation of the Bitcoin Market: an Agent-based Study

Author(s): Fratrič, Sileno, Klous, van Engers
Published in: 2022
Publisher: Springer

Sensitivity of the SHiP experiment to Heavy Neutral Leptons

Author(s): Artem Golovatiuk et al
Published in: Journal of High Energy Physics, 2019
Publisher: Springer

Directional Dark Matter Search with the NEWSdm experiment

Author(s): Artem Golovatiuk
Published in: Journal of Physics, 2021
Publisher: IOP Science

Application of INFERNO to a Top Pair Cross-section Measurement with CMS Open Data

Author(s): Lukas Layer et al
Published in: 2022
Publisher: ArXiv

Extraction of CKM matrix elements in the single top t-channel events at 13 TeV

Author(s): T. Chwalek, N. Faltermann, A. De Iorio, A. O. M. Iorio, W. A. Khan, L. Layer, L. Lista, T. Muller, P. Ott, T. Pambor
Published in: 2019
Publisher: CMS Internal Paper (awaiting publication)

Differential all hadronic measurements

Author(s): Serena Palazzo et al
Published in: 2020
Publisher: ATLAS Internal Note ANA-TOPQ-2018-18 (to be published in 2020)

Measurements of top-quark pair differential and double-differential cross-sections in the ℓ+jets channel with pp collisions at s√=13 TeV using the ATLAS detector

Author(s): Serena Palazzo et al
Published in: 2019
Publisher: arXiv.org

End-to-End Jet Classification of Quarks and Gluons with the CMS Open Data

Author(s): Michael Andrews, John Alison, Sitong An, Patrick Bryant, Bjorn Burkle, Sergei Gleyzer, Meenakshi Narain, Manfred Paulini, Barnabas Poczos, Emanuele Usai
Published in: 2019
Publisher: arXiv.org

Measurement of the Top Quark Pole Mass

Author(s): Serena Palazzo et al
Published in: 2018
Publisher: ATLAS internal note (ANA-TOPQ-2018-16) to be published in 2020.

Supervised machine learning techniques for data matching based on similarity metrics

Author(s): Pim Verschuurena, Serena Palazzo, Tom Powell, Steve Sutton, Alfred Pilgrim, Michele Faucci Giannelli
Published in: 2021
Publisher: ArXiv

Frequentist-Bayes Hybrid Covariance Estimation for Unfolding Problems

Author(s): Pim Jordi Verschuuren
Published in: 2021
Publisher: ArXiv

Deep learning for Directional Dark Matter search

Author(s): Artem Golovatiuk et al
Published in: 2020
Publisher: IOP

BAT.jl — A Julia-based tool for Bayesian inference

Author(s): Vasyl Hafych et al
Published in: 2020
Publisher: ArXiv

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

Author(s): A Golovatiuk et al
Published in: Journal of Instrumentation, 2019
Publisher: IOP Science

Agent-based Modelling and Manipulation of the Bitcoin Market

Author(s): Peter Fratric et al
Published in: 2021
Publisher: Springer Open

Approximating the mode of the non-central chi-squared distribution

Author(s): Victor Ananyev, Alexander Lincoln Read
Published in: 2021
Publisher: ArXiv

Sensitivity of the SHiP experiment to dark photons decaying to a pair of charged particles

Author(s): A Golovatiuk et al
Published in: 2021
Publisher: ArXiv

Measurement of CKM matrix elements in single top quark t-channel production in proton-proton collisions at s√= 13 TeV

Author(s): Lukas Layer et al (CMS collaboration)
Published in: 2020
Publisher: ArXiv

Measurement of the muon flux from 400 GeV/c protons interacting in a thick molybdenum/tungsten target

Author(s): A Golovatiuk et al
Published in: 2020
Publisher: EPJ.org

Infections and Identified Cases of COVID-19 from Random Testing Data

Author(s): Vasyl Hafych et al
Published in: 2020
Publisher: ArXiv

Search for new physics at CMS in Rare Decays of the Bs Meson

Author(s): Hevjin Yarar et al
Published in: 2022
Publisher: ArXiv

The experimental facility for the Search for Hidden Particles at the CERN SPS

Author(s): A Golovatiuk et al
Published in: Journal of Instrumetation, 2019
Publisher: IOP Science

Combined effective field theory interpretation of → ∗ and measurements using ATLAS data

Author(s): R Balasubramanian et al (ATLAS Collaboration)
Published in: 2021
Publisher: CERN

Interpretations of the combined measurement of Higgs boson production and decay

Author(s): R Balasubramanian et al
Published in: 2020
Publisher: CERN

Combined measurements of Higgs boson production and decay using up to 139 fb−1 of proton–proton collision data at √ = 13 TeV collected with the ATLAS experiment

Author(s): R Balasubramanian et al (ATLAS Collaboration)
Published in: 2021
Publisher: CERN

Computational discovery of transaction-based financial crime: the case of Ponzi schemes

Author(s): Fratrič, Sileno, Klous, van Engers
Published in: International Conference on Autonomous Agents and Multiagent Systems 2022, 2022
Publisher: Springer

A combination of measurements of Higgs boson production and decay using up to 139 fb−1 of proton–proton collision data at √ = 13TeV collected with the ATLAS experiment

Author(s): R Balasubramanian et al (ATLAS Collaboration)
Published in: 2020
Publisher: CERN

DijetGAN: A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC

Author(s): Riccardo Di Sipio, Michele Faucci Giannelli, Sana Ketabchi Haghighat, Serena Palazzo
Published in: 2019
Publisher: arXiv.org

Fast Deep Learning Inference System for ROOT/TMVA

Author(s): Sitong An et al
Published in: 2019
Publisher: 24th International Conference on Computing in High Energy and Nuclear Physics

Automatic log analysis with NLP for the CMS workflow handling,

Author(s): Lukas Layer (for the CMS Collaboration)
Published in: 2019
Publisher: 24th International Conference on Computing in High Energy and Nuclear Physics

Integrating Agent-Based Modelling with Copula Theory: Preliminary Insights and Open Problems

Author(s): Peter Fratrič, Giovanni Sileno, Tom van Engers, Sander Klous
Published in: The Proceedings of International Conference on Computational Science 2020, 2020, Page(s) pp 212-225
Publisher: Springer

Integrating Agent-Based Modelling with Copula Theory: Preliminary Insights and Open Problems

Author(s): Peter Fratrič, Giovanni Sileno, Tom van Engers and Sander Klous
Published in: International Conference on Computational Science, ICCS 2020: Computational Science – ICCS 2020 pp 212–225, 2020, Page(s) 212 - 225, ISBN 978-3-030-50419-9
Publisher: Springer

Deep Regression of Muon Energy with a K-Nearest Neighbor Algorithm

Author(s): T. Dorigo, Sofia Guglielmini, Jan Kieseler, Lukas Layer, Giles C. Strong
Published in: EPJC, 82, 2022, Page(s) 79, ISSN 1434-6052
Publisher: Springer-Verlag
DOI: 10.1140/epjc/s10052-022-09993-5

Final Results of GERDA on the Search for Neutrinoless Double-β Decay

Author(s): A Caldwell, O Schulz et al
Published in: Physical Review Letters, 2020, ISSN 0031-9007
Publisher: American Physical Society