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AMVA4NewPhysics An Innovative Training Network funded by the H2020 Marie-Curie actions of the EU
The ATLAS and CMS Detectors at the CERN LHC
The Project
ATLAS and CMS are multi-purpose detectors designed to study the 14-TeV proton-proton collisions produced by the Large Hadron Collider (LHC) at CERN. The detectors are both composed by precision silicon trackers and segmented calorimeters, surrounded by muon detector elements. Powerful magnets bend the trajectory of charged particles, allowing their momenta to be measured.
The Participating Institutions Beneficiaries: INFN (coordinator, I), Univ. Padova (I), Univ. Oxford (UK), Université Catholique de Louvain (B), LIP Lisbon (PT), Univ. Clermont Auvergne (F), IASA Athens (E), TU Munich (D), CERN.
Partners: Mathworks (US), Yandex (RU), SDG (I), B12 (B), EPFL Lausanne (CH), Univ. Oviedo (E), UC Irvine (US), Univ. Br. Columbia (CA), Univ. Athens (E).
Members of the beneficiary nodes of the network focus on measurements and searches with CMS (INFN, LIP, IASA, CERN), with ATLAS (Univ. Oxford, Univ. Clermont, CERN), on theory developments and tools (TU Munich, Univ. Cath. Louvain), and on applied statistics (Univ. Padova). SL tools (such as deep neural networks, composite classifiers using regressed inputs, anomaly detection semi-supervised learning algorithms) are being optimized and adapted to specific physics problems. New matrix-element estimation methods are being constructed, and brand new machine learning applications are being developed. One example of the latter is a new multi-D background shape modeling algorithm based on kNN matching of half-events, creating artificial replicas of experimental collisions; another is a new anomaly detection algorithm based on a characterization of the collective properties of event subsets rather than single events.
The Research Plan of AMVA4NewPhysics
The program foresees network workshops, schools and tutorial events, as well as the sponsorship of additional training opportunities for the involved ESRs. Here is a summary of some of the 2017 events: • Lectures by ESRs in high schools, Venice (I), Jan 29-31 • Soft-Skills training, Padova (I), February 1-3 • Roostats tutorial, Oviedo (E), May 19 • INFN school of statistics, Ischia (I), May 6-10 • Art and Science contest for high-school students of Venice (I), March-May • Art Exposition at EPS 2017 conference, Lido of Venice (I), July 5-12, and prize-giving, July 8 • YANDEX Machine Learning in HEP school, Reading (UK) July 17-23 • Erice School of Science Journalism, Erice (I), July 1-6 • Statistical learning lectures by Prof. Trevor Hastie, Padova (I), October 11-13
Training and Dissemination
The PhD students hired by the AMVA4NewPhysics network come from Greece, Italy, Spain, UK, Germany, Poland, Malaysia, and Venezuela. The 10 Early-Stage Researchers
For more information please contact: [email protected] [email protected] Come visit the network blog and web site: http://amva4newphysics.wordpress.com !
Contacts
Cut-away
view of the CMS detector
The AMVA4NewPhysics ITN is a consortium of 18 universities, research centers, and industries. The network brings together researchers in particle physics (experimentalists and theorists), statisticians, and data scientists to provide a fertile training environment to 10 Early-Stage Researchers (ESR) doing their PhD on topics in Physics and Statistical Learning (SL). The research focuses on the development of advanced machine learning tools that may increase the sensitivity of the ATLAS and CMS detectors (see right panel) to detect new physics signals and to precisely estimate the parameters governing the phenomenology of the Higgs boson, the particle discovered at CERN in 2012. Industrial partners offer co-supervision and three-month secondments to the ESR involved in the network, providing them with extra skills and the knowledge base for a successful future career, should they decide to move to the private sector after their PhD.
Below: network beneficiaries (in blue) and academic partners (in green). Arrows indicate ESR secondments
The research work plan is divided into four work packages: WP 1 – Customization, tailoring and optimization of the most advanced SL tools to the problem of measurements of Higgs boson properties – in particular, Higgs couplings. CMS and ATLAS data are mined for Higgs pair production events (in the final state including bottom quark pairs and tau leptons, or two b-quark pairs) and for associated top and Higgs boson production (with Hbb decays). WP 2 – Development of new SL tools for targeted and global searches of new physics. A new, groundbreaking deep-NN b-tagging algorithm has been developed for CMS and is being applied to Supersymmetric signatures involving many b-quark jets. A new anomaly detection tool is being studied in ATLAS for global searches of new processes. WP 3 – Advancements of the Matrix-Element technique are being produced by UCL members, with new applications useful for Higgs measurements. New avenues for dark matter searches are being sought by TUM members WP 4 – The development of new SL tools for performant physics analyses is being pursued by Univ. Padova members, with contributions to regression and classification tools, modeling methods and their statistical validation, and anomaly detection methods.
Below: deep-NN regression of event features to infer the global mass of Higgs pairs in signal and background
The Network Blog
Left: provenance of visitors
to the blog
G. Kotkowsky P. de Castro A. Saggio G. Strong C. Tosciri A. Stakia F. Jimenez A. Held S.P. Liew I. Papavergou
The network maintains a high-throughput blog where ESR and the other network members do outreach in Physics, Statistics, Machine Learning, and describe their life and research: http://amva4newphysics.wordpress.com
ATLAS in its cavern during assembly
The silicon tracker of CMS
Right: the front page of the network blog
Cut-away
view of the
ATLAS detector
EUROPE IN MY REGION 2017:
