Explore the words cloud of the AMVA4NewPhysics project. It provides you a very rough idea of what is the project "AMVA4NewPhysics" about.
The following table provides information about the project.
Coordinator |
ISTITUTO NAZIONALE DI FISICA NUCLEARE
Organization address contact info |
Coordinator Country | Italy [IT] |
Project website | https://amva4newphysics.wordpress.com |
Total cost | 2˙393˙361 € |
EC max contribution | 2˙393˙361 € (100%) |
Programme |
1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers) |
Code Call | H2020-MSCA-ITN-2015 |
Funding Scheme | MSCA-ITN-ETN |
Starting year | 2015 |
Duration (year-month-day) | from 2015-09-01 to 2019-08-31 |
Take a look of project's partnership.
With the 2012 discovery of the Higgs boson at the Large Hadron Collider, LHC, the Standard Model of particle physics has been completed, emerging as a most successful description of matter at the smallest distance scales. But as is always the case, the observation of this particle has also heralded the dawn of a new era in the field: particle physics is now turning to the mysteries posed by the presence of dark matter in the universe, as well as the very existence of the Higgs. The upcoming run of the LHC at 13 TeV will probe possible answers to both issues, providing detailed measurements of the properties of the Higgs and extending significantly the sensitivity to new phenomena.
Since the LHC is the only accelerator currently exploring the energy frontier, it is imperative that the analyses of the collected data use the most powerful possible techniques. In recent years several analyses have utilized multi-variate analysis techniques, obtaining higher sensitivity; yet there is ample room for further improvement. With our programme we will import and specialize the most powerful advanced statistical learning techniques to data analyses at the LHC, with the objective of maximizing the chance of new physics discoveries.
We aim at creating a network of European institutions to foster the development and exploitation of Advanced Multi-Variate Analysis (AMVA) for New Physics searches. The network will offer extensive training in both physics and advanced analysis techniques to graduate students, focusing on providing them with the know-how and the experience to boost their career prospects in and outside academia. The network will develop ties with non-academic partners for the creation of interdisciplinary software tools, allowing a successful knowledge transfer in both directions. The network will study innovative techniques and identify their suitability to problems encountered in searches for new physics at the LHC and detailed studies of the Higgs boson sector.
Publication on report of the implementation of the AToM MVA recasting package | Documents, reports | 2020-01-14 16:51:58 |
Software implementation of the inverse bagging algorithm | Other | 2020-01-14 16:51:50 |
Report on SL method for new searches | Documents, reports | 2020-01-14 16:51:53 |
Publication on MEM and its implementations | Documents, reports | 2020-01-14 16:51:57 |
Organization of network events 2 | Documents, reports | 2020-01-14 16:51:58 |
Report on the inverse bagging algorithm | Documents, reports | 2020-01-14 16:51:58 |
Final report on performance of algorithms for LHC searches of new physics | Documents, reports | 2020-01-14 16:51:51 |
Final report on classification and regression tools for Higgs measurements | Documents, reports | 2020-01-14 16:52:11 |
Assessment of impact of outreach activities in outreach workshop talks | Other | 2020-01-14 16:51:58 |
Draft Periodic Report | Documents, reports | 2019-07-09 17:25:48 |
Organization of network events 1 | Documents, reports | 2019-07-09 17:25:48 |
Report of studied SL methods for targeted and global searches of new physics | Documents, reports | 2019-07-09 17:25:48 |
Soft Skills training | Other | 2019-07-09 17:25:48 |
Online web documentation of package | Documents, reports | 2019-07-09 17:25:48 |
Report on MVA for Higgs studies | Documents, reports | 2019-07-09 17:25:48 |
C++ package to evaluate MEM weights for arbitrary processes in the SM and beyond | Other | 2019-07-09 17:25:48 |
Public seminars in high schools and public events by ESRs | Other | 2019-07-09 17:25:48 |
Network Blog - Hashtag | Websites, patent fillings, videos etc. | 2019-07-09 17:25:48 |
Report of performance of algorithms for data-driven background shape modelling | Documents, reports | 2019-07-09 17:25:48 |
Take a look to the deliverables list in detail: detailed list of AMVA4NewPhysics deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
A. M. Sirunyan, A. Tumasyan, W. Adam, F. Ambrogi, E. Asilar, T. Bergauer, J. Brandstetter, M. Dragicevic, J. Erö, A. Escalante Del Valle, M. Flechl, R. Frühwirth, V. M. Ghete, J. Hrubec, M. Jeitler, N. Krammer, I. Krätschmer, D. Liko, T. Madlener, I. Mikulec, N. Rad, H. Rohringer, J. Schieck, R. Schöfbeck, M. Spanring, D. Spitzbart, A. Taurok, W. Waltenberger, J. Wittmann, C.-E. Wulz, M. Zaruc Search for nonresonant Higgs boson pair production in the b b ¯ b b ¯ published pages: , ISSN: 1029-8479, DOI: 10.1007/jhep04(2019)112 |
Journal of High Energy Physics 2019/4 | 2019-10-29 |
2019 |
A. M. Sirunyan, A. Tumasyan, W. Adam, F. Ambrogi, E. Asilar, T. Bergauer, J. Brandstetter, M. Dragicevic, J. Erö, A. Escalante Del Valle, M. Flechl, R. Frühwirth, V. M. Ghete, J. Hrubec, M. Jeitler, N. Krammer, I. Krätschmer, D. Liko, T. Madlener, I. Mikulec, N. Rad, H. Rohringer, J. Schieck, R. Schöfbeck, M. Spanring, D. Spitzbart, A. Taurok, W. Waltenberger, J. Wittmann, C.-E. Wulz, M. Z Combination of Searches for Higgs Boson Pair Production in Proton-Proton Collisions at s = 13     TeV published pages: , ISSN: 0031-9007, DOI: 10.1103/physrevlett.122.121803 |
Physical Review Letters 122/12 | 2019-10-29 |
2019 |
Fabricio Jimenez Model independent searches for New Physics using Machine Learning at the ATLAS experiment published pages: , ISSN: , DOI: |
2019-10-29 | |
2019 |
COSTANTIN, DENISE; MENARDI, GIOVANNA; BRAZZALE, ALESSANDRA ROSALBA A novel approach for pre-filtering event sources using the von Mises distribution published pages: , ISSN: , DOI: |
EMS 2019 Program and Book of Abstracts | 2019-10-15 |
2018 |
Kotkowski, G. M. Advanced Statistical Methods for Data Analysis in Particle Physics published pages: , ISSN: , DOI: |
2019-10-15 | |
2019 |
Vischia, P.; MENARDI, GIOVANNA; KOTKOWSKI, GRZEGORZ MICHAL; The DAB: Detecting Anomalies via Bootstrapping published pages: , ISSN: , DOI: |
EMS 2019 - Program and Book of Abstracts | 2019-10-15 |
2018 |
Tommaso Dorigo, Martino Dall\'Osso, Pablo de Castro Manzano, Livio Finos, Grzegorz Kotkowski, Giovanna Menardi, Bruno Scarpa Hemisphere Mixing: A Fully Data-Driven Model Of QCD Multijet Backgrounds For LHC Searches published pages: 370, ISSN: , DOI: 10.22323/1.314.0370 |
Proceedings of The European Physical Society Conference on High Energy Physics — PoS(EPS-HEP2017) | 2019-10-15 |
2019 |
Casa, Alessandro; MENARDI, GIOVANNA Nonparametric Semisupervised Classification and Variable Selection for New Physics Searches published pages: , ISSN: , DOI: |
EMS 2019 - Program and Book of Abstracts | 2019-10-15 |
2019 |
M. Aaboud, G. Aad, B. Abbott, D. C. Abbott, O. Abdinov, A. Abed Abud, D. K. Abhayasinghe, S. H. Abidi, O. S. AbouZeid, N. L. Abraham, H. Abramowicz, H. Abreu, Y. Abulaiti, B. S. Acharya, S. Adachi, L. Adam, C. Adam Bourdarios, L. Adamczyk, L. Adamek, J. Adelman, M. Adersberger, A. Adiguzel, S. Adorni, T. Adye, A. A. Affolder, Y. Afik, C. Agapopoulou, M. N. Agaras, A. Aggarwal, C. Agheorghiesei, J. Measurement of VH, H → b b ¯ $$ mathrm{H}to mathrm{b}overline{mathrm{b}} $$ production as published pages: , ISSN: 1029-8479, DOI: 10.1007/jhep05(2019)141 |
Journal of High Energy Physics 2019/5 | 2019-09-26 |
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