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CORDIS - Résultats de la recherche de l’UE
CORDIS

International Training Network for Statistics in High Energy Physics and Society

Livrables

Contribution to a report on reinterpretation of Higgs discovery using Bayesian methods
GAMBIT

New release of GAMBIT

Report of new particle identification using ML tools

Report, possibly a paper, of new particle identification using ML tools

Contribution to a report of an ATLAS analysis

Contribution to report on an ATLAS analysis. Probably a publication on top differential.

Contribution to a report on search for new physics at CMS
Report on computationally efficient modelling of distributions compatible with EFT

Report, possibly a publication, on computationally efficient modelling of distributionscompatible with EFT

Report on new unsupervised machine learning clustering techniques

Report, possibly a paper, on new unsupervised machine learning clustering techniques

Report on novel technique based on Markov Chain Monte Carlo algorithm

Report, possibly a paper, on novel technique based on Markov Chain Monte Carloalgorithm

Network blog and Twitter hashtag
Contribution to a report on model comparison at GERDA
Report on novel technique in risk modelling in finance
Contribution to a report of Effective Field Theory applied to Higgs coupling at ATLAS
Contribution to a report on SHiP physics

Contribution to a report, probably a publication, on SHiP physics potential on neutrino studies and dark matter searches

Report on performance of the INFERNO technique when applied to a real analysis with CMS open data
Contribution to a report on a precision measurement at ATLAS

Contribution to a report on a precision measurement at ATLAS. Probably a measurement of the differential cross section of the Higgs boson or Top quark.

ROOT

New release of ROOT

BAT

New release of BAT

Report on new unfolding techniques

Report, possibly a publication, on unfolding techniques

Contribution to a report on ATLAS search for new physics

Contribution to a report on ATLAS search for new physics.

Pan-European School of Advanced of Statistics 2020

Pan-European School of Advanced of Statistics 2020 at DESY

Report on Bayesian inference tools and modelling of systematic uncertainties for frequentist inference
Contribution to publication of searches for new Higgs boson

Contribution to a report on searches for new Higgs boson. Likely using the decay tophotons

RooFit

New release of RooFit

Contribution to a report of new interpretation of Higgs data
Contribution to report on a CMS analysis

Contribution to report on a CMS analysis. Probably a publication on single-top production and measurement of the Vtb.

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

Auteurs: Vasyl Hafych et al
Publié dans: 2020
Éditeur: ArXiv

Sensitivity of the SHiP experiment to light dark matter

Auteurs: A Golovatiuk et al
Publié dans: 2020
Éditeur: ArXiv

Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Auteurs: Sitong An
Publié dans: 2020
Éditeur: ArXiv

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

Auteurs: Flora Giudicepietro, Antonietta M. Esposito, Laura Spina, Andrea Cannata, Daniele Morgavi, Lukas Layer and Giovanni Macedonio
Publié dans: Frontiers in Earth Science, 2021
Éditeur: Frontiers

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

Auteurs: A. Alexandrov, G. De Lellis, A. Di Crescenzo, A. Golovatiuk and V. Tioukov
Publié dans: Journal of Cosmology and Astroparticle Physics, 2021
Éditeur: IOP Science

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

Auteurs: Sitong An et al
Publié dans: Nuclear Instruments and Methods in Physics, Numéro Volume 977, 2020
Éditeur: ScienceDirect

Deep learning for Directional Dark Matter search

Auteurs: Artem Golovatiuk, Giovanni De Lellis and Andrey Ustyuzhanin
Publié dans: Journal of Physics, 2020
Éditeur: IOP Science

The SHiP experiment at CERN

Auteurs: A Golovatiuk et al
Publié dans: Proceedings of Science, 2019
Éditeur: CERN

Comparison of unfolding methods using RooFitUnfold

Auteurs: Pim Verschuuren, Rahul Balasubramanian et al
Publié dans: 2020
Éditeur: ArXiv

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

Auteurs: A Golovatiuk et al
Publié dans: Journal of Instrumentation, 2020
Éditeur: IOP Science

Toward Machine Learning Optimization of Experimental Design

Auteurs: Lukas Layer, Hevjin Yarar et al
Publié dans: Nuclear Physics News, Numéro Volume 31, 2021, Page(s) 25-28
Éditeur: Taylor & Francis

Calorimetric Measurement of Multi-TeV Muons via Deep Regression

Auteurs: Jan Kieseler, Giles C. Strong, Filippo Chiandotto, Tommaso Dorigo and Lukas Layer
Publié dans: The European Physical Journal, 2022
Éditeur: Springer

Analysis of proton bunch parameters in the AWAKE experiment

Auteurs: V Hafych et al
Publié dans: Journal of Instrumentation, 2021
Éditeur: IOP Science

Scattering and Neutrino Detector at the LHC

Auteurs: A Golovatiuk et al
Publié dans: 2021
Éditeur: CERN

Parallelizing MCMC Sampling via Space Partitioning

Auteurs: Vasyl Hafych, Philipp Eller, Oliver Schulz, Allen Caldwell
Publié dans: 2020
Éditeur: ArXiv

Effective Lagrangian Morphing

Auteurs: Rahul Balasubramanian et al
Publié dans: 2022
Éditeur: 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

Auteurs: Serena Palazzo et al
Publié dans: 2021
Éditeur: arXiv.org

Deep Learning for direct Dark Matter search with nuclear emulsions

Auteurs: Artem Golovatiuk et al
Publié dans: 2022
Éditeur: 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

Auteurs: R Balasubramanian et al (ATLAS Collaboration)
Publié dans: Physical Review, 2022
Éditeur: APS Physics

Interval Arithmetics for Parameter Space Exploration

Auteurs: Diego del Val
Publié dans: 2021
Éditeur: ArXiv

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

Auteurs: H Yarar et al (CMS Collaboration)
Publié dans: 2021
Éditeur: CERN

Manipulation of the Bitcoin Market: an Agent-based Study

Auteurs: Fratrič, Sileno, Klous, van Engers
Publié dans: 2022
Éditeur: Springer

Sensitivity of the SHiP experiment to Heavy Neutral Leptons

Auteurs: Artem Golovatiuk et al
Publié dans: Journal of High Energy Physics, 2019
Éditeur: Springer

Directional Dark Matter Search with the NEWSdm experiment

Auteurs: Artem Golovatiuk
Publié dans: Journal of Physics, 2021
Éditeur: IOP Science

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

Auteurs: Lukas Layer et al
Publié dans: 2022
Éditeur: ArXiv

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

Auteurs: T. Chwalek, N. Faltermann, A. De Iorio, A. O. M. Iorio, W. A. Khan, L. Layer, L. Lista, T. Muller, P. Ott, T. Pambor
Publié dans: 2019
Éditeur: CMS Internal Paper (awaiting publication)

Differential all hadronic measurements

Auteurs: Serena Palazzo et al
Publié dans: 2020
Éditeur: 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

Auteurs: Serena Palazzo et al
Publié dans: 2019
Éditeur: arXiv.org

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

Auteurs: Michael Andrews, John Alison, Sitong An, Patrick Bryant, Bjorn Burkle, Sergei Gleyzer, Meenakshi Narain, Manfred Paulini, Barnabas Poczos, Emanuele Usai
Publié dans: 2019
Éditeur: arXiv.org

Measurement of the Top Quark Pole Mass

Auteurs: Serena Palazzo et al
Publié dans: 2018
Éditeur: ATLAS internal note (ANA-TOPQ-2018-16) to be published in 2020.

Supervised machine learning techniques for data matching based on similarity metrics

Auteurs: Pim Verschuurena, Serena Palazzo, Tom Powell, Steve Sutton, Alfred Pilgrim, Michele Faucci Giannelli
Publié dans: 2021
Éditeur: ArXiv

Frequentist-Bayes Hybrid Covariance Estimation for Unfolding Problems

Auteurs: Pim Jordi Verschuuren
Publié dans: 2021
Éditeur: ArXiv

Deep learning for Directional Dark Matter search

Auteurs: Artem Golovatiuk et al
Publié dans: 2020
Éditeur: IOP

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

Auteurs: Vasyl Hafych et al
Publié dans: 2020
Éditeur: ArXiv

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

Auteurs: A Golovatiuk et al
Publié dans: Journal of Instrumentation, 2019
Éditeur: IOP Science

Agent-based Modelling and Manipulation of the Bitcoin Market

Auteurs: Peter Fratric et al
Publié dans: 2021
Éditeur: Springer Open

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

Auteurs: Victor Ananyev, Alexander Lincoln Read
Publié dans: 2021
Éditeur: ArXiv

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

Auteurs: A Golovatiuk et al
Publié dans: 2021
Éditeur: ArXiv

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

Auteurs: Lukas Layer et al (CMS collaboration)
Publié dans: 2020
Éditeur: ArXiv

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

Auteurs: A Golovatiuk et al
Publié dans: 2020
Éditeur: EPJ.org

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

Auteurs: Vasyl Hafych et al
Publié dans: 2020
Éditeur: ArXiv

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

Auteurs: Hevjin Yarar et al
Publié dans: 2022
Éditeur: ArXiv

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

Auteurs: A Golovatiuk et al
Publié dans: Journal of Instrumetation, 2019
Éditeur: IOP Science

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

Auteurs: R Balasubramanian et al (ATLAS Collaboration)
Publié dans: 2021
Éditeur: CERN

Interpretations of the combined measurement of Higgs boson production and decay

Auteurs: R Balasubramanian et al
Publié dans: 2020
Éditeur: 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

Auteurs: R Balasubramanian et al (ATLAS Collaboration)
Publié dans: 2021
Éditeur: CERN

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

Auteurs: Fratrič, Sileno, Klous, van Engers
Publié dans: International Conference on Autonomous Agents and Multiagent Systems 2022, 2022
Éditeur: 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

Auteurs: R Balasubramanian et al (ATLAS Collaboration)
Publié dans: 2020
Éditeur: CERN

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

Auteurs: Riccardo Di Sipio, Michele Faucci Giannelli, Sana Ketabchi Haghighat, Serena Palazzo
Publié dans: 2019
Éditeur: arXiv.org

Fast Deep Learning Inference System for ROOT/TMVA

Auteurs: Sitong An et al
Publié dans: 2019
Éditeur: 24th International Conference on Computing in High Energy and Nuclear Physics

Automatic log analysis with NLP for the CMS workflow handling,

Auteurs: Lukas Layer (for the CMS Collaboration)
Publié dans: 2019
Éditeur: 24th International Conference on Computing in High Energy and Nuclear Physics

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

Auteurs: Peter Fratrič, Giovanni Sileno, Tom van Engers, Sander Klous
Publié dans: The Proceedings of International Conference on Computational Science 2020, 2020, Page(s) pp 212-225
Éditeur: Springer

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

Auteurs: Peter Fratrič, Giovanni Sileno, Tom van Engers and Sander Klous
Publié dans: International Conference on Computational Science, Numéro ICCS 2020: Computational Science – ICCS 2020 pp 212–225, 2020, Page(s) 212 - 225, ISBN 978-3-030-50419-9
Éditeur: Springer

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

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

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

Auteurs: A Caldwell, O Schulz et al
Publié dans: Physical Review Letters, 2020, ISSN 0031-9007
Éditeur: American Physical Society

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