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PRODID:-//LBNL Physics Division Research Progress Meetings - ECPv6.8.3//NONSGML v1.0//EN
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X-ORIGINAL-URL:https://rpm.physics.lbl.gov
X-WR-CALDESC:Events for LBNL Physics Division Research Progress Meetings
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TZID:UTC
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TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20190101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20191001T160000
DTEND;TZID=UTC:20191001T170000
DTSTAMP:20260416T121153
CREATED:20190923T152339Z
LAST-MODIFIED:20190923T152339Z
UID:1236-1569945600-1569949200@rpm.physics.lbl.gov
SUMMARY:Patrick de Perio (Triumf) " CP Violation in Neutrino Oscillations with Hyper-Kamiokande
DESCRIPTION:Abstract: We live in a matter dominated world\, so where did all the antimatter go? The Hyper-Kamiokande (Hyper-K) experiment in Japan is trying to detect charge-parity violation (CPV) in neutrino oscillation\, which could help explain this phenomenon. As the successor of the T2K experiment\, Hyper-K produces a beam of neutrinos or antineutrinos directed towards a far detector 295 km away\, which is about 8 times bigger than the current far detector\, Super-Kamiokande\, a water Cherenkov detector. With an expected statistical uncertainty of 3% for both neutrinos and antineutrinos\, Hyper-K aims to tease out the small neutrino/antineutrino oscillation difference. In this talk\, I will discuss our efforts to control systematic errors at an unprecedented level\, arising from 1) neutrino beam production\, 2) neutrino interaction modeling\, and 3) water Cherenkov detector calibration.
URL:https://rpm.physics.lbl.gov/event/patrick-de-perio-triumf-cp-violation-in-neutrino-oscillations-with-hyper-kamiokande/
LOCATION:HYBRID 50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585\, 50A-5132
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BEGIN:VEVENT
DTSTART;TZID=UTC:20191022T160000
DTEND;TZID=UTC:20191022T170000
DTSTAMP:20260416T121153
CREATED:20191017T210500Z
LAST-MODIFIED:20191021T162505Z
UID:1247-1571760000-1571763600@rpm.physics.lbl.gov
SUMMARY:David Shih (Rutgers/LBNL) "Searching for the Unexpected at the LHC with Unsupervised Machine Learning"
DESCRIPTION:ABSTRACT: \nConventional methods for searching for new physics at the LHC have mostly been “top-down”: starting from a specific model\, searches are designed and optimized to have the best sensitivity to that model. Despite hundreds of conventional new physics searches at the LHC\, none have turned up any hint of new physics. Maybe it’s time to admit that we don’t know what we’re looking for. \nBreakthroughs in modern deep learning have the potential to revolutionize how we search for new physics at the LHC. In particular\, techniques borrowed from unsupervised machine learning could enable us to search for new physics in a largely model-agnostic way. In this talk I will review some promising recent proposals in this direction. These proposed search strategies could complement more conventional methods by finding surprising signals that were not anticipated by any model\, ensuring that we leave no stone unturned in the hunt for new physics at the LHC.
URL:https://rpm.physics.lbl.gov/event/david-shuh-rutgers-lbnl-searching-for-the-unexpected-at-the-lhc-with-unsupervised-machine-learning/
LOCATION:HYBRID 50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585\, 50A-5132
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191031T160000
DTEND;TZID=UTC:20191031T170000
DTSTAMP:20260416T121153
CREATED:20191023T182812Z
LAST-MODIFIED:20191030T182846Z
UID:1294-1572537600-1572541200@rpm.physics.lbl.gov
SUMMARY:Koji Terashi (CERN) " Quantum Computing and Possible Application to High-Energy Physics"
DESCRIPTION:Abstract: \nHigh-energy frontier in particle physics is going to enter into an era of precision studies after Run 3 at the LHC\, with the increase of proton luminosity and upgraded detectors. This will pose a significant challenge to the event reconstruction and data analysis\, where one has to look for (tiny) hints of new physics in a huge amount of collected data. Over the last few years quantum computing\, in particular the hardware systems with superconducting qubits\, has grown significantly\, making a quantum computer with order of 50-100 qubits\, called NISQ device\, nearly in hand. This motivates an exploration of this new technology in high energy physics (HEP) experiments\, aiming to identify interesting application of quantum algorithms to data analysis. In this talk\, I will discuss about possible HEP applications of quantum computing and current status of those studies. \n 
URL:https://rpm.physics.lbl.gov/event/koji-terashi-cern-quantum-computing-and-possible-application-to-high-energy-physics/
LOCATION:HYBRID 50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585\, 50A-5132
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