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International Training Network for Statistics in High Energy Physics and Society

Deliverables

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

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

Datasets

"Figure 4-right. Y(3S)/Y(1S) as functions of N_track, 11

Author(s): CMS Collaboration
Published in: HEPData