PHYSTAT-nu 2019
→
Europe/Zurich
CERN
CERN
Tuesday 22nd 1:30-4pm : Course - TH Auditorium (4-3-006)
Tuesday 22nd 5pm: Bayesian Techniques - Filtration Plant (222-R-001)
Wed 23rd: Filtration plant (222-R-001)
Thurs 24th: Filtration plant (222-R-001)
Friday 25th: Council Chamber (503-1-001)
Albert De Roeck
(CERN),
Davide Sgalaberna
(CERN),
Louis Lyons
(Imperial College (GB)),
Olaf Behnke
(Deutsches Elektronen-Synchrotron (DE))
Description
The workshops deals with the statistical issues in the broad range of modern neutrino physics, in particular in view of the increased precision of current and future experiments.Topics to be included are
- Measuring model parameters, choosing between models
- Setting limits, discovery
- Determination of systematic uncertainties
- Unfolding
- Machine learning for event reconstruction and classification
The workshop will be a mixture of invited and contributed talks from physicists and statisticians.
This event is a follow-up of the two PHYSTAT-nu workshops in 2016 at Fermilab, https://indico.fnal.gov/event/11906/, and at the Kavli institute in Kashiwa, https://indico.ipmu.jp/indico/event/82/.
The homepage of PHYSTAT with a list of all past or planned workshops is at https://espace.cern.ch/phystat.
The registration is closed now. If you would like to participate to the workshop, please contact the organizers.
Contact
Participants
140
View full list
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Registration: Early registration 61/1-201 - Pas perdus - Not a meeting room -
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Introductory Statistics Course (voluntary participation) 4/3-006 - TH Conference Room
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1
Introductory Statistics Course - Part ISpeaker: Louis Lyons (Imperial College (GB))
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2
Introductory Statistics Course - Part IISpeaker: Glen Cowan (Royal Holloway, University of London)
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1
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Registration: Early registration and Coffee break 61/1-201 - Pas perdus - Not a meeting room -
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3
Speaker: Prof. James Berger (Duke University)
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4
Speaker: Olaf Behnke (Deutsches Elektronen-Synchrotron (DE))
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5
Introduction to neutrino physicsSpeaker: Alain Blondel (Universite de Geneve (CH))
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6
Overview of stastistics for neutrino physicsSpeaker: Yoshi Uchida (Imperial College London)
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5
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10:30 AM
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9
Reactor experimentsSpeaker: Chao Zhang (Brookhaven National Laboratory (US))
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12:30 PM
Lunch
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10
Model building, analysing and treatment of systematic uncertainties in modern HEP experimentsSpeaker: Wouter Verkerke (Nikhef National institute for subatomic physics (NL))
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11
Practical experiences with ATLAS/CMS Higgs combine proceduresSpeaker: Nicholas Wardle (Imperial College (GB))
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12
The neutrino experiment experienceSpeakers: Prof. Constantinos Andreopoulos (University of Liverpool and STFC/RAL), Costas Andreopoulos (University of Liverpool & STFC Rutherford Appleton Laboratory)
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13
Discussion
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10
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3:40 PM
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14
Fits to large data setsSpeaker: Dr Stefano Gariazzo (IFIC-CSIC/University of Valencia)
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14
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Speaker: Tom Junk (Fermi National Accelerator Lab. (US))
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Welcome Reception and poster session 61/1-201 - Pas perdus - Not a meeting room -
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18
Neutrino-less double-beta decay experimentsSpeaker: Dr Matteo Agostini (Technical University Munich)
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19
Supernova neutrino signal detection in the NOvA experiment:Speaker: Andrey Sheshukov (JINR)
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18
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Speaker: Prof. Anthony Davison (EPFL )
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10:30 AM
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Statistical issues in neutrino experiments and contributed talks 222/R-001
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21
Uncertainty in the Reactor Neutrino Spectrum and the Mass HierarchySpeaker: Emilio Ciuffoli (IMP, CAS)
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22
Look-elsewhere effect in neutrino oscillation searches:Speaker: Phillip Litchfield (Imperial College, London)
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23
Reactor Anti-neutrino Data in Global AnalysesSpeaker: Alvaro Hernandez Cabezudo (Karlsruhe Institute of Technology (KIT))
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24
Statistical issues on the neutrino Mass Hierarchy determinationSpeakers: Fatma Helal Sawy (ENHEP Egyptian Network of High Energy Physics (EG)), Fatma Sawy (INFN Padova)
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21
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12:30 PM
Lunch
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26
Introduction to UnfoldingSpeaker: Mikael Kuusela (Carnegie Mellon University (US))
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27
The collider experience with unfoldingSpeaker: Stefan Schmitt (Deutsches Elektronen-Synchrotron (DE))
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28
The neutrino experiment experience with unfoldingSpeaker: Philip Andrew Rodrigues (University of Oxford (GB))
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29
Discussion
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26
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3:40 PM
Coffee
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30
Regularisation for T2K cross-section analysesSpeaker: Stephen Dolan (University of Oxford)
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31
A new unified perspective on the problem of limited Monte Carlo for likelihood calculationsSpeaker: Thorsten Glüsenkamp (Universität Erlangen-Nürnberg)
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32
Statistical Models with Uncertain Error ParametersSpeaker: Glen Cowan (Royal Holloway, University of London)
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33
Review of Linear Algebra Applications in Some Recent Neutrino ExperimentsSpeaker: Xin Qian (Brookhaven National Laboratory)
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30
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Summary of the day / discussionsSpeaker: Tom Junk (Fermi National Accelerator Lab. (US))
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Workshop Dinner NN
NN
CERN
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Machine learning session 503/1-001 - Council Chamber
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35
Introduction to machine learningSpeaker: Michael Aaron Kagan (SLAC National Accelerator Laboratory (US))
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The neutrino experiment experienceSpeaker: Saul Alonso Monsalve (University Carlos III (ES))
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35
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10:30 AM
Coffee
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Machine learning session 503/1-001 - Council Chamber
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Discussion
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Contributed talks session 503/1-001 - Council Chamber
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Simulating Light in Large Volume Detectors Using Metropolis Light TransportSpeaker: Gabriel Collin
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A GPU-based framework for multi-variate analysis in particle physicsSpeakers: Xuefeng Ding (Gran Sasso Science Insitute (INFN)), Xuefeng Ding (INFN - National Institute for Nuclear Physics)
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12:30 PM
Lunch
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Contributed talks session 503/1-001 - Council Chamber
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43
Efficient Neutrino Oscillation Parameter Inference with Gaussian ProcessesSpeaker: Bannanje Nitish Nayak (University of California Irvine (US))
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Reflections on the 20th year of Feldman-Cousins: Hypothesis testing of a point null vs a continuous alternativeSpeakers: Robert Cousins Jr (University of California Los Angeles (US)), Robert Cousins Jr (University of California Los Angeles (US))
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43
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Concluding session 503/1-001 - Council Chamber
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45
Physicist's summary talkSpeaker: Kevin McFarland (University of Rochester)
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46
Statistician's summary talkSpeaker: David van Dyk (Imperial College)
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45
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4:20 PM
Coffee
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