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INSIGHTS SIGNED

International Training Network for Statistics in High Energy Physics and Society

Total Cost €

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EC-Contrib. €

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Partnership

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Project "INSIGHTS" data sheet

The following table provides information about the project.

Coordinator
ROYAL HOLLOWAY AND BEDFORD NEW COLLEGE 

Organization address
address: EGHAM HILL UNIVERSITY OF LONDON
city: EGHAM
postcode: TW20 0EX
website: http://www.rhul.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 3˙026˙260 €
 EC max contribution 3˙026˙260 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2017
 Funding Scheme MSCA-ITN-ETN
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2021-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ROYAL HOLLOWAY AND BEDFORD NEW COLLEGE UK (EGHAM) coordinator 273˙287.00
2    ISTITUTO NAZIONALE DI FISICA NUCLEARE IT (FRASCATI) participant 516˙122.00
3    STICHTING NEDERLANDSE WETENSCHAPPELIJK ONDERZOEK INSTITUTEN NL (UTRECHT) participant 383˙061.00
4    UNIVERSITETET I OSLO NO (OSLO) participant 286˙275.00
5    THE UNIVERSITY OF EDINBURGH UK (EDINBURGH) participant 273˙287.00
6    EUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH CH (GENEVA 23) participant 265˙226.00
7    LUNDS UNIVERSITET SE (LUND) participant 263˙659.00
8    PANGEA FORMAZIONE SRL IT (ROMA) participant 258˙061.00
9    UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II IT (NAPOLI) participant 258˙061.00
10    MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV DE (MUENCHEN) participant 249˙216.00
11    CICERO SENTER KLIMAFORSKNING STIFTELSE NO (Oslo) partner 0.00
12    Digitalcomoedia S.r.L. IT (Napoli) partner 0.00
13    Fiscal Technologies UK (Reading) partner 0.00
14    ISTITUTO NAZIONALE DI GEOFISICA E VULCANOLOGIA IT (ROMA) partner 0.00
15    LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN DE (MUENCHEN) partner 0.00
16    STIFTUNG DEUTSCHES ELEKTRONEN-SYNCHROTRON DESY DE (HAMBURG) partner 0.00
17    TECHNISCHE UNIVERSITAET MUENCHEN DE (MUENCHEN) partner 0.00
18    UNIVERSITA DEGLI STUDI DI PADOVA IT (PADOVA) partner 0.00
19    UNIVERSITEIT VAN AMSTERDAM NL (AMSTERDAM) partner 0.00
20    Yandex RU (Moscow) partner 0.00

Map

 Project objective

The INSIGHTS Innovative Training Network will develop advanced statistical methods, implement them in software, and apply them to solve problems in Particle Physics and other fields. In doing so, we will create the next generation of experts not only able to investigate Nature's fundamental particles but also to solve problems of broad relevance to society. The analysis of data collected in Particle Physics experiments such as those at the Large Hadron Collider (LHC) poses tremendous challenges, and advanced statistical methods have proven to be key elements of recent advances in the field. INSIGHTS will enable significant further progress with particular emphasis on multivariate analysis, parametric modelling and Bayesian computation. We will ensure that the statistical tools can cope with the complexities of real experimental settings by using them in actual analyses, such as searches for new fundamental particles at the LHC. In carrying out the proposed research, INSIGHTS will train a cohort of physicists in modern statistical methods and establish collaborations and educational structures that will continue long into the future. In particular we plan to establish a new Pan-European Advanced School of Statistics, which will take the training of EU researchers to a higher level. The participating institutes in INSIGHTS have a successful track record of and innovation and education in statistical data analysis, and their expertise will form the core of the training provided. In addition, secondments with partners in other disciplines such as Finance, Climate Science and Volcanology will allow participants to view statistical and computational problems from multiple viewpoints and to exchange ideas between these areas and Particle Physics.

 Deliverables

List of deliverables.
Report on new unfolding techniques Other 2020-04-09 20:00:13
BAT Other 2020-04-09 20:00:20
Data Management Plan Documents, reports 2020-04-02 09:28:04
Pan-European School of Advanced of Statistics 2018 Other 2020-04-02 09:28:12
Completion of website Websites, patent fillings, videos etc. 2020-04-02 09:27:56

Take a look to the deliverables list in detail:  detailed list of INSIGHTS deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Michael Andrews, John Alison, Sitong An, Patrick Bryant, Bjorn Burkle, Sergei Gleyzer, Meenakshi Narain, Manfred Paulini, Barnabas Poczos, Emanuele Usai
End-to-End Jet Classification of Quarks and Gluons with the CMS Open Data
published pages: , ISSN: , DOI:
2020-03-24
2019 Serena Palazzo et al
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
published pages: , ISSN: , DOI:
2020-03-24
2018 Serena Palazzo et al
Measurement of the Top Quark Pole Mass
published pages: , ISSN: , DOI:
2020-03-24
2019 Sitong An et al
Fast Deep Learning Inference System for ROOT/TMVA
published pages: , ISSN: , DOI:
2020-03-24
2020 Serena Palazzo et al
Differential all hadronic measurements
published pages: , ISSN: , DOI:
2020-03-24
2019 Lukas Layer (for the CMS Collaboration)
Automatic log analysis with NLP for the CMS workflow handling,
published pages: , ISSN: , DOI:
2020-03-24
2019 T. Chwalek, N. Faltermann, A. De Iorio, A. O. M. Iorio, W. A. Khan, L. Layer, L. Lista, T. Muller, P. Ott, T. Pambor
Extraction of CKM matrix elements in the single top t-channel events at 13 TeV
published pages: , ISSN: , DOI:
2020-03-24
2019 Riccardo Di Sipio, Michele Faucci Giannelli, Sana Ketabchi Haghighat, Serena Palazzo
DijetGAN: A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC
published pages: , ISSN: , DOI:
2020-03-24

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The information about "INSIGHTS" are provided by the European Opendata Portal: CORDIS opendata.

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