Generic searches in ATLAS ITN: MVA for New Physic 27/04/2016 - - PowerPoint PPT Presentation

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Generic searches in ATLAS ITN: MVA for New Physic 27/04/2016 - - PowerPoint PPT Presentation

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Generic searches in ATLAS ITN: MVA for New Physic 27/04/2016 prsentations thses Julien Donini ITN project: AMVA4NewPhysics Advanced Multivariate analysis for New Physics searches Innovative Training Network (ITN): EU Marie Curie

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Generic searches in ATLAS

ITN: MVA for New Physic 27/04/2016 – présentations thèses

Julien Donini

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Julien Donini

ITN project: AMVA4NewPhysics

“Advanced Multivariate analysis for New Physics searches” Innovative Training Network (ITN): EU Marie Curie Actions H2020 Aimed at training (PhD) students and performing research Develop and improve advanced stat learning tools for data analysis Training of students in stat learning, computational tools, data science Perform studies in Higgs sector and searches for new physics at LHC

  • Network of 8 institutes and 6 partners (4 non-academic)
  • Officially started 1 September 2015 , duration: 48 Months
  • Recruitment a total of 10 ESR (“Early Stage Researchers)
  • Recruitment of 1 ESR at LPC by September: see Call for PhD
  • ATLAS-LPC contributors: JD (PI), D. Calvet, E. Busato
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Julien Donini

→ Coordinator: LPC

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Julien Donini

Scientific goals of WP2

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Study LHC Run 2 data for new physics searches Specialize/Optimize Statistical Learning methods Comparison study of advanced MVA algorithms

 Signature-specific new physics searches (CMS)  Global searches considering wide number of signatures (ATLAS)  Develop tools for reinterpretation of MVA results for NP searches

Main beneficiary of this WP UBP, IASA, CERN, TUM Other contributors UNIPD, INFN, UCL, UCI, EPFL Partners (secondments) Yandex, MW, SDG 4 ESR will work on WP2

 UBP (ATLAS) : 36m  IASA (CMS) : 36m  CERN (TH): 36m  CERN (CMS): 24m

List of all contributors : http://www.pd.infn.it/AMVA4NewPhysics/allparticipants.html

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Julien Donini

General work strategy and interactions

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Main beneficiary

Test algorithms for simultaneous investigation of multi-dimensional datasets (UBP)

Test MVA algorithms on specific NP signatures, maximize search sensitivity (IASA, CERN)

Develop ATOM package to reinterpret MVA searches for any model (CERN/TUM) Interaction with other contributors to WP2: 1. Use of the MEM (WP3: UCL, CERN) 2. Implement WP4 developments by INFN, UNIPD, and UCI,

  • Ex: UCI expertise on deep neural networks

3. Development of different semi-supervised technique (EPFL) 4. Global classification tools (guidance from UNIPD)

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Julien Donini

Signature-specific searches

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Example: search for W’ bosons decaying to a top and a b quark → appear in many extensions of the SM: L/R models, KK excitations …

Mass range: 0.5 – 3.0 TeV Four BDT to separate S/B Limits on signal cross-section Limits on effective couplings

Physics Letters B 743 (2015) 235-255

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Julien Donini

Global searches

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Topologies involving lepton, photons, jets and missing transverse momentum. Kinematic distributions are scanned for deviations from the SM prediction. If a significant deviation is found, a dedicated analysis will be required.

ATLAS-CONF-2014-006

Example: general search for new phenomena with ATLAS

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Julien Donini

backup

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Julien Donini

Model testing: ATOM (Weiler et al.)

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Replicates exp. analyses and automatically checks if a model is excluded. Test of beyond the standard model versus existing data.

www.research.kobe-u.ac.jp/fsci-pacos/seminar_files/20140528_sakurai.pdf

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Julien Donini

Gantt chart

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