Explore the words cloud of the INSIGHTS project. It provides you a very rough idea of what is the project "INSIGHTS" about.
The following table provides information about the project.
Coordinator |
ROYAL HOLLOWAY AND BEDFORD NEW COLLEGE
Organization address contact info |
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 |
Take a look of project's partnership.
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.
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.
year | authors and title | journal | last update |
---|---|---|---|
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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