PHYSTAT-Data Science seminar dedicated to the memory of Fred James

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4/3-006 - TH Conference Room (CERN)

4/3-006 - TH Conference Room

CERN

110
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Josh Bendavid (CERN), Robert Cousins Jr (University of California Los Angeles (US))
Description

Special PHYSTAT–Data Science seminar dedicated to the memory of Fred James, whose pioneering contributions to statistical methods in particle physics, most notably MINUIT, have had a profound and lasting impact on our field.

Organised by

M. Girone, M. Elsing, L. Moneta, M. Pierini
Event co-organised with L. Lyons, O. Behnke and L. Brenner from the PHYSTAT Committee.

Zoom Meeting ID
98545267593
Description
EP/IT Data Science seminar
Host
Lorenzo Moneta
Alternative hosts
EP Seminars and Colloquia, Markus Elsing, Pascal Pignereau, Maurizio Pierini, Thomas Nik Bazl Fard, Caroline Cazenoves, Maria Girone
Passcode
97200142
Useful links
Join via phone
Zoom URL
    • 16:00 → 16:15
      In appreciation of Fred James 15m

      Bob Cousins retired from UCLA but is still active in the CMS Collaboration, of which he was Deputy Spokesperson in 2007-2009. He has had a special interest in statistical issues for HEP and was fortunate to have a long friendship with Fred James.

      Speaker: Robert Cousins Jr (University of California Los Angeles (US))
    • 16:15 → 16:30
      Personal Memories 15m

      Member of audience can provide a short (< 90 sec) personal memory of Fred. A document is provided (link below) to collect all these memories

      Speaker: Members of Audience
    • 16:30 → 17:30
      Parameter determination in HEP: from MINUIT to auto-differentiation through the Higgs discovery and beyond 1h

      Josh Bendavid is a Research Physicist at CERN. He has worked on CMS since 2007, from the Higgs → γγ search that contributed to the 2012 discovery, for which he earned his PhD from MIT in 2013, to precision electroweak measurements. He has been a CERN fellow, a postdoctoral researcher at Caltech, and a Research Scientist at MIT. Josh was a principal contributor to the CMS W boson mass measurement, in particular the ultra-high-precision muon track reconstruction and calibration, as well as the TensorFlow-based likelihood fits, which use automatic differentiation to handle thousands of nuisance parameters.

      Speaker: Josh Bendavid (CERN)