BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//LBNL Physics Division Research Progress Meetings - ECPv6.8.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:LBNL Physics Division Research Progress Meetings
X-ORIGINAL-URL:https://rpm.physics.lbl.gov
X-WR-CALDESC:Events for LBNL Physics Division Research Progress Meetings
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20170312T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20171105T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171102T160000
DTEND;TZID=America/Los_Angeles:20171102T170000
DTSTAMP:20260420T121458
CREATED:20170807T104044Z
LAST-MODIFIED:20170807T104044Z
UID:589-1509638400-1509642000@rpm.physics.lbl.gov
SUMMARY:Reserved
DESCRIPTION:
URL:https://rpm.physics.lbl.gov/event/reserved-47/
LOCATION:HYBRID 50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585\, 50A-5132
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171107T160000
DTEND;TZID=America/Los_Angeles:20171107T170000
DTSTAMP:20260420T121458
CREATED:20170807T104108Z
LAST-MODIFIED:20170807T104108Z
UID:591-1510070400-1510074000@rpm.physics.lbl.gov
SUMMARY:Reserved
DESCRIPTION:
URL:https://rpm.physics.lbl.gov/event/reserved-48/
LOCATION:HYBRID 50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585\, 50A-5132
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171109T160000
DTEND;TZID=America/Los_Angeles:20171109T170000
DTSTAMP:20260420T121458
CREATED:20170912T073420Z
LAST-MODIFIED:20170912T073420Z
UID:631-1510243200-1510246800@rpm.physics.lbl.gov
SUMMARY:Bin Yu (University of California\, Berkeley) "Three Principles of Data Science: Predictability\, Stability\, and Computability"
DESCRIPTION:ABSTRACT:\nIn this talk\, I’d like to discuss the intertwining importance and connections of three principles of data science in the title in data-driven decisions.\nMaking prediction as its central task and embracing computation as its core\, machine learning has enabled wide-ranging data-driven successes. Prediction is a useful way to check with reality. Good prediction implicitly assumes stability between past and future. Stability (relative to data and model perturbations) is also a minimum requirement for interpretability and reproducibility of data driven results (cf. Yu\, 2013). It is closely related to uncertainty assessment. Obviously\, both prediction and stability principles can not be employed without feasible computational algorithms\, hence the importance of computability.\nThe three principles will be demonstrated in the context of two neuroscience projects and through analytical connections. In particular\, the first project adds stability to predictive modeling used for reconstruction of movies from fMRI brain signlas to gain interpretability of the predictive model. The second project uses predictive transfer learning that combines\nAlexNet\, GoogleNet and VGG with single V4 neuron data for state-of-the-art prediction performance. It provides stable function characterization of neurons via (manifold) deep dream images from the predictive models in the difficult primate visual cortex V4. Our V4 results lend support\, to a certain extent\, to the resemblance of these CNNs to a primate brain.
URL:https://rpm.physics.lbl.gov/event/bin-yu-ucb-three-principles-of-data-science-predictability-stability-and-computability/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171116T160000
DTEND;TZID=America/Los_Angeles:20171116T170000
DTSTAMP:20260420T121458
CREATED:20170807T104311Z
LAST-MODIFIED:20170807T104311Z
UID:597-1510848000-1510851600@rpm.physics.lbl.gov
SUMMARY:Ulascan Sarica (John Hopkins U.) "Measurements of Mass\, Width\, Lifetime\, and Anomalous Couplings of the H(125) Boson"
DESCRIPTION:Abstract:\nThe discovery of the Higgs boson has completed the set of particles predicted by the Standard Model (SM). It has been established by the CMS and ATLAS Collaborations at the Large Hadron Collider that the discovered boson is consistent with J^PC=0^++. The width of this boson is also consistent with the predicted value from the SM\, but the constraints using events at the resonance peak are orders of magnitude looser than the prediction. In this talk\, we will be exploring techniques developed to probe small anomalous couplings of the Higgs boson. Emphasis will be given to the recent studies of Higgs-diboson (HVV) couplings from the CMS Collaboration\, where information from associated production becomes even more important than the kinematics of Higgs decay products. We will also look at joint mass-width measurements using either events at the resonance peak or at the offshell tail of Higgs boson production. We will see that even small anomalous couplings show enhancement at the offshell tail and discuss briefly how joint constraints can be studied.
URL:https://rpm.physics.lbl.gov/event/reserved-51/
LOCATION:HYBRID 50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585\, 50A-5132
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171121T160000
DTEND;TZID=America/Los_Angeles:20171121T170000
DTSTAMP:20260420T121458
CREATED:20170807T104350Z
LAST-MODIFIED:20170807T104350Z
UID:599-1511280000-1511283600@rpm.physics.lbl.gov
SUMMARY:Patrick Bryant (U. Chicago) "Measuring Higgs Pair Production at the LHC - Why and How?
DESCRIPTION:Abstract:\nAs the universe cooled immediately following the Big Bang\, the laws of physics underwent a dramatic phase transition. Underlying symmetries were broken and particles acquired mass as the Higgs field moved to a new ground state.\nIn this talk I will discuss why we should care about the precise nature of the electroweak phase transition (EWPT) and how the potential which generated the EWPT may be measured at the LHC.\nBio: Patrick received his B.S. in physics and mathematics at the University of Oregon in 2013 and has since been working towards his Ph.D. in experimental particle physics at the University of Chicago as a member of the ATLAS collaboration. He recently returned to Chicago after a year and a half at CERN in Geneva\, Switzerland to write his thesis on hardware based track reconstruction and the search for Higgs pair production in the four b-jet final state.
URL:https://rpm.physics.lbl.gov/event/reserved-52/
LOCATION:HYBRID 50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585\, 50A-5132
END:VEVENT
END:VCALENDAR