International Training Network for Statistics in High Energy Physics and Society

Risultati finali

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

Completion of website

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.

Pubblicazioni

Integration with an Adaptive Harmonic Mean Algorithm

Autori: Vasyl Hafych et al
Pubblicato in: 2020
Editore: ArXiv

Sensitivity of the SHiP experiment to light dark matter

Autori: A Golovatiuk et al
Pubblicato in: 2020
Editore: ArXiv

Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Autori: Sitong An
Pubblicato in: 2020
Editore: ArXiv

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

Autori: Flora Giudicepietro, Antonietta M. Esposito, Laura Spina, Andrea Cannata, Daniele Morgavi, Lukas Layer and Giovanni Macedonio
Pubblicato in: Frontiers in Earth Science, 2021
Editore: Frontiers

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

Autori: A. Alexandrov, G. De Lellis, A. Di Crescenzo, A. Golovatiuk and V. Tioukov
Pubblicato in: Journal of Cosmology and Astroparticle Physics, 2021
Editore: IOP Science

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

Autori: Sitong An et al
Pubblicato in: Nuclear Instruments and Methods in Physics, Numero Volume 977, 2020
Editore: ScienceDirect

Deep learning for Directional Dark Matter search

Autori: Artem Golovatiuk, Giovanni De Lellis and Andrey Ustyuzhanin
Pubblicato in: Journal of Physics, 2020
Editore: IOP Science

The SHiP experiment at CERN

Autori: A Golovatiuk et al
Pubblicato in: Proceedings of Science, 2019
Editore: CERN

Comparison of unfolding methods using RooFitUnfold

Autori: Pim Verschuuren, Rahul Balasubramanian et al
Pubblicato in: 2020
Editore: ArXiv

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

Autori: A Golovatiuk et al
Pubblicato in: Journal of Instrumentation, 2020
Editore: IOP Science

Toward Machine Learning Optimization of Experimental Design

Autori: Lukas Layer, Hevjin Yarar et al
Pubblicato in: Nuclear Physics News, Numero Volume 31, 2021, Pagina/e 25-28
Editore: Taylor & Francis

Calorimetric Measurement of Multi-TeV Muons via Deep Regression

Autori: Jan Kieseler, Giles C. Strong, Filippo Chiandotto, Tommaso Dorigo and Lukas Layer
Pubblicato in: The European Physical Journal, 2022
Editore: Springer

Analysis of proton bunch parameters in the AWAKE experiment

Autori: V Hafych et al
Pubblicato in: Journal of Instrumentation, 2021
Editore: IOP Science

Scattering and Neutrino Detector at the LHC

Autori: A Golovatiuk et al
Pubblicato in: 2021
Editore: CERN

Parallelizing MCMC Sampling via Space Partitioning

Autori: Vasyl Hafych, Philipp Eller, Oliver Schulz, Allen Caldwell
Pubblicato in: 2020
Editore: ArXiv

Effective Lagrangian Morphing

Autori: Rahul Balasubramanian et al
Pubblicato in: 2022
Editore: 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

Autori: Serena Palazzo et al
Pubblicato in: 2021
Editore: arXiv.org

Deep Learning for direct Dark Matter search with nuclear emulsions

Autori: Artem Golovatiuk et al
Pubblicato in: 2022
Editore: 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

Autori: R Balasubramanian et al (ATLAS Collaboration)
Pubblicato in: Physical Review, 2022
Editore: APS Physics

Interval Arithmetics for Parameter Space Exploration

Autori: Diego del Val
Pubblicato in: 2021
Editore: ArXiv

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

Autori: H Yarar et al (CMS Collaboration)
Pubblicato in: 2021
Editore: CERN

Manipulation of the Bitcoin Market: an Agent-based Study

Autori: Fratrič, Sileno, Klous, van Engers
Pubblicato in: 2022
Editore: Springer

Sensitivity of the SHiP experiment to Heavy Neutral Leptons

Autori: Artem Golovatiuk et al
Pubblicato in: Journal of High Energy Physics, 2019
Editore: Springer

Directional Dark Matter Search with the NEWSdm experiment

Autori: Artem Golovatiuk
Pubblicato in: Journal of Physics, 2021
Editore: IOP Science

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

Autori: Lukas Layer et al
Pubblicato in: 2022
Editore: ArXiv

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

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

Differential all hadronic measurements

Autori: Serena Palazzo et al
Pubblicato in: 2020
Editore: 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

Autori: Serena Palazzo et al
Pubblicato in: 2019
Editore: arXiv.org

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

Autori: Michael Andrews, John Alison, Sitong An, Patrick Bryant, Bjorn Burkle, Sergei Gleyzer, Meenakshi Narain, Manfred Paulini, Barnabas Poczos, Emanuele Usai
Pubblicato in: 2019
Editore: arXiv.org

Measurement of the Top Quark Pole Mass

Autori: Serena Palazzo et al
Pubblicato in: 2018
Editore: ATLAS internal note (ANA-TOPQ-2018-16) to be published in 2020.

Supervised machine learning techniques for data matching based on similarity metrics

Autori: Pim Verschuurena, Serena Palazzo, Tom Powell, Steve Sutton, Alfred Pilgrim, Michele Faucci Giannelli
Pubblicato in: 2021
Editore: ArXiv

Frequentist-Bayes Hybrid Covariance Estimation for Unfolding Problems

Autori: Pim Jordi Verschuuren
Pubblicato in: 2021
Editore: ArXiv

Deep learning for Directional Dark Matter search

Autori: Artem Golovatiuk et al
Pubblicato in: 2020
Editore: IOP

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

Autori: Vasyl Hafych et al
Pubblicato in: 2020
Editore: ArXiv

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

Autori: A Golovatiuk et al
Pubblicato in: Journal of Instrumentation, 2019
Editore: IOP Science

Agent-based Modelling and Manipulation of the Bitcoin Market

Autori: Peter Fratric et al
Pubblicato in: 2021
Editore: Springer Open

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

Autori: Victor Ananyev, Alexander Lincoln Read
Pubblicato in: 2021
Editore: ArXiv

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

Autori: A Golovatiuk et al
Pubblicato in: 2021
Editore: ArXiv

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

Autori: Lukas Layer et al (CMS collaboration)
Pubblicato in: 2020
Editore: ArXiv

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

Autori: A Golovatiuk et al
Pubblicato in: 2020
Editore: EPJ.org

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

Autori: Vasyl Hafych et al
Pubblicato in: 2020
Editore: ArXiv

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

Autori: Hevjin Yarar et al
Pubblicato in: 2022
Editore: ArXiv

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

Autori: A Golovatiuk et al
Pubblicato in: Journal of Instrumetation, 2019
Editore: IOP Science

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

Autori: R Balasubramanian et al (ATLAS Collaboration)
Pubblicato in: 2021
Editore: CERN

Interpretations of the combined measurement of Higgs boson production and decay

Autori: R Balasubramanian et al
Pubblicato in: 2020
Editore: 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

Autori: R Balasubramanian et al (ATLAS Collaboration)
Pubblicato in: 2021
Editore: CERN

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

Autori: Fratrič, Sileno, Klous, van Engers
Pubblicato in: International Conference on Autonomous Agents and Multiagent Systems 2022, 2022
Editore: 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

Autori: R Balasubramanian et al (ATLAS Collaboration)
Pubblicato in: 2020
Editore: CERN

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

Autori: Riccardo Di Sipio, Michele Faucci Giannelli, Sana Ketabchi Haghighat, Serena Palazzo
Pubblicato in: 2019
Editore: arXiv.org

Fast Deep Learning Inference System for ROOT/TMVA

Autori: Sitong An et al
Pubblicato in: 2019
Editore: 24th International Conference on Computing in High Energy and Nuclear Physics

Automatic log analysis with NLP for the CMS workflow handling,

Autori: Lukas Layer (for the CMS Collaboration)
Pubblicato in: 2019
Editore: 24th International Conference on Computing in High Energy and Nuclear Physics

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

Autori: Peter Fratrič, Giovanni Sileno, Tom van Engers, Sander Klous
Pubblicato in: The Proceedings of International Conference on Computational Science 2020, 2020, Pagina/e pp 212-225
Editore: Springer

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

Autori: Peter Fratrič, Giovanni Sileno, Tom van Engers and Sander Klous
Pubblicato in: International Conference on Computational Science, Numero ICCS 2020: Computational Science – ICCS 2020 pp 212–225, 2020, Pagina/e 212 - 225, ISBN 978-3-030-50419-9
Editore: Springer

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

Autori: T. Dorigo, Sofia Guglielmini, Jan Kieseler, Lukas Layer, Giles C. Strong
Pubblicato in: EPJC, Numero 82, 2022, Pagina/e 79, ISSN 1434-6052
Editore: Springer-Verlag
DOI: 10.1140/epjc/s10052-022-09993-5

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

Autori: A Caldwell, O Schulz et al
Pubblicato in: Physical Review Letters, 2020, ISSN 0031-9007
Editore: American Physical Society

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