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:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20220101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20221103T160000
DTEND;TZID=UTC:20221103T170000
DTSTAMP:20260421T123846
CREATED:20221102T223035Z
LAST-MODIFIED:20221102T223035Z
UID:1979-1667491200-1667494800@rpm.physics.lbl.gov
SUMMARY:HYBRID TALK| Hee-Jong Seo "Accelerating Universe through DESI"
DESCRIPTION:Abstract \nOne of the most intriguing questions in physics today is the nature of dark energy that is responsible for the accelerated expansion of the Universe. Three-dimensional maps of galaxies from spectroscopic galaxy surveys provide a giant laboratory to test the nature of the Universe\, including dark energy\, in a way that is complementary to other cosmic surveys. DESI\, being the largest galaxy redshift survey up to date\, is currently preparing for the first-year cosmology analysis release in Summer 2023\, In this talk\, among the key science goals of DESI\,  I want to focus on the studies of two accelerated expansion phases of the Universe using DESI\, one today due to dark energy and the other\, cosmic inflation right after the Big Bang. For the former\, I will show the first Baryon Acoustic Oscillation detection result using only the first two months of the DESI data. For the latter\, I will discuss how we can fight the observational systematics using neural networks and derive a tight constraint on inflation using the DESI Legacy survey.
URL:https://rpm.physics.lbl.gov/event/hybrid-talk-hee-jong-seo-accelerating-universe-through-desi/
LOCATION:HYBRID 50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585\, 50A-5132
ORGANIZER;CN="Elisabetta Pianori":MAILTO:elisabetta.pianori@lbl.gov
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221108T160000
DTEND;TZID=UTC:20221108T170000
DTSTAMP:20260421T123846
CREATED:20221107T231521Z
LAST-MODIFIED:20221107T231521Z
UID:1991-1667923200-1667926800@rpm.physics.lbl.gov
SUMMARY:SPEAKER: Simone Pagan-Griso - Snowmass Report Highlights - Part 3
DESCRIPTION:TITLE: Snowmass Report Highlights – Part 3 \nSPEAKERS: This week\, we’ll have highlights of the Theory\, Rare-Processes and Precision\, and Community Engagement Frontiers\, presented respectively by the following: \n\nSimon Knapen – Theory Frontier\nDave Brown – Rare-Processes and Precision Frontier\nErin Hansen – Community Engagement Frontier \n\nABSTRACT: The Particle Physics Community Planning Exercise (a.k.a. “Snowmass”) is organized by the Division of Particles and Fields (DPF) of the American Physical Society. Snowmass is a scientific study. It provides an opportunity for the entire particle physics community to come together to identify and document a scientific vision for the future of particle physics in the U.S. and its international partners. Snowmass will define the most important questions for the field of particle physics and identify promising opportunities to address them. \nThe Snowmass exercise is now approaching its end\, with most groups’ reports now available from the website (https://snowmass21.org/start). \nIn this seminar series\, we’ll review the most important messages coming out from these reports in a set of brief talks\, with ample time for questions. \nThis week we’ll have highlights of the Neutrino\, Cosmic and Underground Facilities\, and Cosmic frontiers presented\, respectively\, by Simon Knapen\, Dave Brown\, Erin Hansen. \n\nLocation:    50A-5132\nTime:        4:00 – 5:00 PM\nTitle:       “Snowmass Report Highlights – Part 3”\n\nZOOM Information: \nJoin Zoom Meeting \n50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585
URL:https://rpm.physics.lbl.gov/event/speaker-simone-pagan-griso-snowmass-report-highlights-part-3/
LOCATION:HYBRID 50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585\, 50A-5132
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221110T160000
DTEND;TZID=UTC:20221110T170000
DTSTAMP:20260421T123846
CREATED:20221104T235627Z
LAST-MODIFIED:20221107T232532Z
UID:1985-1668096000-1668099600@rpm.physics.lbl.gov
SUMMARY:SPEAKER - Edward Callaghan - (UCB) - Optical Neutrino Detectors of the Past\, Present\, and Future
DESCRIPTION:TITLE: Optical Neutrino Detectors of the Past\, Present\, and Future \nABSTRACT: Large-volume optical detectors are a mainstay of experimental\nneutrino physics\, with several successful implementations in the past\ndecades and larger models on the horizon. Traditionally\, such detectors\nmake use of either Cherenkov radiation\, produced as a superluminal\ncharged particle stops\, or scintillation light\, produced from the\ndeexcitation of excited molecular states\, but rarely both in tandem. I\nwill describe an R&D campaign to develop technologies suitable for a\nhybrid detector\, which will exploit both Cherenkov and scintillation\nlight to implement advanced event reconstruction techniques. This\ncampaign has culminated in the Eos demonstrator project\, which will be\nlocated on the UC Berkeley campus and act as a ton-scale demonstration\nof technologies applicable for Theia\, a proposed 25+ kiloton hybrid\ndetector. I will further discuss my work measuring cosmogenic background\nproduction in SNO\, a heavy water Cherenkov detector\, and a search for\nextraterrestrial antineutrinos in SNO+\, an upgrade to SNO\, which has\ncompleted a phase of water running and is now filled with liquid\nscintillator. \nThis is a HYBRID Meeting \n\nLocation:    50A-5132\nTime:        4:00 – 5:00 PM\nTitle:       “Snowmass Report Highlights – Part 3”\n\nZOOM Information: \nJoin Zoom Meeting \n50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585
URL:https://rpm.physics.lbl.gov/event/edward-callaghan-university-of-california-berkeley/
LOCATION:HYBRID 50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585\, 50A-5132
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221115T160000
DTEND;TZID=UTC:20221115T170000
DTSTAMP:20260421T123846
CREATED:20221112T041826Z
LAST-MODIFIED:20221115T210759Z
UID:1998-1668528000-1668531600@rpm.physics.lbl.gov
SUMMARY:SPEAKER - Andrzej Novak - RWTH Aachen University - Title: Searches for Higgs to Charm Decays with the CMS Experiment using Novel ML Methods
DESCRIPTION:TITLE: Searches for Higgs to Charm Decays with the CMS Experiment using Novel ML Methods \n\nABSTRACT: Searches for charm decays of the Higgs boson are not only limited by the small coupling but primarily by the considerable difficulty of identifying charm jets. However\, recent advances in machine learning methods have drastically improved the performance of flavour identification algorithms. Applying them in analyses of the LHC Run2 data has enabled us to improve the limit on the Higgs to charm rate by a factor of 20 in the last few years. I will give an overview of the latest results obtained with the CMS experiment\, focusing on the more recent boosted search. \n\nZOOM Information –  \n\n\nJoin Zoom Meeting\nhttps://lbnl.zoom.us/j/91782268585\n 
URL:https://rpm.physics.lbl.gov/event/speaker-andrzej-novak-rwth-aachen-university-title-searches-for-higgs-to-charm-decays-with-the-cms-experiment-using-novel-ml-methods/
LOCATION:HYBRID 50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585\, 50A-5132
ORGANIZER;CN="Patrick McDonald":MAILTO:pvmcdonald@lbl.gov
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221117T120000
DTEND;TZID=UTC:20221117T130000
DTSTAMP:20260421T123846
CREATED:20221115T214553Z
LAST-MODIFIED:20221117T012634Z
UID:2007-1668686400-1668690000@rpm.physics.lbl.gov
SUMMARY:SPEAKER: Yuan-Tang Chou (University of Massachusetts\, Amherst) - TITLE: Searches for Exotic Higgs Boson Decays with Modern Machine-Learning Methods at the LHC
DESCRIPTION:THIS RPM WILL BE AT 12:00 P.M. NOON – November 17\, 2022 \nTITLE – Searches for Exotic Higgs Boson Decays with Modern Machine-Learning Methods at the LHC  \nABSTRACT – Advances in machine learning have shifted the paradigm in how we analyze data in High Energy Collider Physics. Particle identification and event reconstruction are areas where significant improvements have been possible by using state-of-art machine-learning methods with domain knowledge. In this talk\, I will discuss how we adopt novel approaches that utilize low-level detector information and embed underlying symmetry in machine-learning models to search for physics beyond the Standard Model with the ATLAS experiment at the LHC. \nJoin Zoom Meeting\nhttps://lbnl.zoom.us/j/91782268585 \nMeeting ID: 917 8226 8585 \nOne tap mobile\n+1-669-900-6833\,\,91782268585# US (San Jose)
URL:https://rpm.physics.lbl.gov/event/speaker-yuan-tang-chou-university-of-massachusetts-amherst-title-searches-for-exotic-higgs-boson-decays-with-modern-machine-learning-methods-at-the-lhc/
LOCATION:HYBRID 50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585\, 50A-5132
ORGANIZER;CN="Patrick McDonald":MAILTO:pvmcdonald@lbl.gov
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221118T120000
DTEND;TZID=UTC:20221118T130000
DTSTAMP:20260421T123846
CREATED:20221117T220344Z
LAST-MODIFIED:20221117T220344Z
UID:2014-1668772800-1668776400@rpm.physics.lbl.gov
SUMMARY:SPEAKER: Daniel Kodroff (Penn State) - TITLE: Background Modeling and First Results From The LUX-ZEPLIN Dark Matter Experiment
DESCRIPTION:This is a VIRTUAL Event \nTITLE: Background Modeling and First Results From The LUX-ZEPLIN Dark Matter Experiment \nABSTRACT: LUX-ZEPLIN (LZ) is a dark matter experiment located at the Sanford Underground Research Facility in South Dakota\, USA employing a 7 tonne active volume of liquid xenon in a dual-phase time projection chamber (TPC). It’s surrounded by an instrumented xenon “skin” region and gadolinium-loaded liquid scintillator outer detector\, primarily serving as active vetoes for gamma-ray and neutron backgrounds\, respectively\, all contained within an ultra-pure water tank. A comprehensive material\nassay and selection campaign for detector components\, along with a xenon purification campaign\, have further ensured an ultra-low background environment. These mitigations have allowed LZ to achieve a background rate of (63.0 ± 4.5) x 10−6 events/keVee/kg/day in the low energy region\, approximately 60 times lower than that of its predecessor LUX experiment. In this low background region\, LZ has recently set new world-leading limits for the spin-independent elastic scattering of nuclear recoils of Weakly Interacting Massive Particles (WIMPs) with masses above 9 GeV/c^2 using an exposure of 60 live days and a fiducial mass of 5.5 tonnes. This talk will provide an overview of the LZ detector and a description of its backgrounds with an emphasis on techniques to constrain these backgrounds in situ. I will also discuss the first results from LZ and briefly discuss its future science program. \nZOOM Information – \nJoin Zoom Meeting\nhttps://lbnl.zoom.us/j/91782268585 \nMeeting ID: 917 8226 8585
URL:https://rpm.physics.lbl.gov/event/speaker-daniel-kodroff-penn-state-title-background-modeling-and-first-results-from-the-lux-zeplin-dark-matter-experiment/
LOCATION:HYBRID 50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585\, 50A-5132
ORGANIZER;CN="Patrick McDonald":MAILTO:pvmcdonald@lbl.gov
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221122T160000
DTEND;TZID=UTC:20221122T170000
DTSTAMP:20260421T123846
CREATED:20221118T030802Z
LAST-MODIFIED:20221118T030802Z
UID:2018-1669132800-1669136400@rpm.physics.lbl.gov
SUMMARY:SPEAKER: Chen-Hsun (Jay) Chan - University of Wisconsin\, Madison - TITLE: Search for Higgs Boson Decaying to Dimuon
DESCRIPTION:This is an IN-PERSON Event \nLocation: Sessler Conference Room – 50A-5132 \nTITLE: Search for Higgs Boson Decaying to Dimuon \nABSTRACT: \nThe search for Higgs boson decaying to dimuon is currently the most promising channel to probe the Yukawa coupling to the second-generation fermions. In this seminar\, I will give an overview of the recent search for Higgs boson decaying to dimuon\, using the proton-proton collision data collected by the ATLAS detector between 2015 and 2018. Despite excellent muon reconstruction\, this search is particularly challenging due to the small Higgs to dimuon decay branching ratio and the large amount of Standard Model background. Multiple techniques are developed in order to overcome the challenges and significantly enhance the sensitivity compared to the previous iteration.\n\nWith more data to be collected in the near future\, it is possible to observe the Higgs to dimuon signal at 5 standard deviation. I will highlight several expected improvements during LHC run-3\, which will benefit this measurement. Furthermore\, the upgrade to High-Luminosity LHC (HL-LHC) will bring a significant improvement to this measurement\, thanks to the increased data statistics as well as the upgrade of the ATLAS Inner Tracker (ITk). I will\, in the end\, discuss the recent development of the ITk pixel upgrade\, particularly the testing of the pixel module serial powering.\n\n\nZOOM Information – \n\n\nJoin Zoom Meeting\nhttps://lbnl.zoom.us/j/91782268585 \nMeeting ID: 917 8226 8585
URL:https://rpm.physics.lbl.gov/event/speaker-chen-hsun-jay-chan-university-of-wisconsin-madison-title-search-for-higgs-boson-decaying-to-dimuon/
LOCATION:HYBRID 50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585\, 50A-5132
ORGANIZER;CN="Patrick McDonald":MAILTO:pvmcdonald@lbl.gov
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221129T131000
DTEND;TZID=UTC:20221129T141000
DTSTAMP:20260421T123846
CREATED:20221124T014607Z
LAST-MODIFIED:20221125T174038Z
UID:2039-1669727400-1669731000@rpm.physics.lbl.gov
SUMMARY:SPEAKER: Kate Storey-Fisher - New York University - TITLE: Galaxy Clustering with Emulation and Equivariant Machine Learning
DESCRIPTION:This is a Virtual Event \nLocation: Zoom from campus In Campbell Hall\, Room 131\n \nTITLE: Galaxy Clustering with Emulation and Equivariant Machine Learning \nABSTRACT: \n\nThere is significant untapped cosmological information in the clustering of galaxies\, particularly at small scales. I will discuss two projects aimed at this. In the Aemulus project we take an emulation approach\, populating dark matter only cosmological simulations with a simple galaxy–halo connection model and training machine learning (ML) emulators to predict clustering statistics. I will show that incorporating beyond-standard statistics sensitive to the local environment aids in constraining galaxy bias parameters and increases the precision on recovered cosmological parameters. \nTo account for uncertainties in galaxy formation\, we require improved models of the galaxy–halo connection. I will present a new equivariant ML approach to learning the relationship between dark matter halo and galaxy properties in cosmological simulations. Our approach explicitly respects physical symmetries by describing halos in terms of a large set of invariant dimensionless scalars. I will show that this results in precise predictions of galaxy properties. These frameworks will be critical for the analysis of upcoming spectroscopic surveys. \n\n\nZOOM Information – \n\nJoin Zoom Meeting\nhttps://lbnl.zoom.us/j/91782268585
URL:https://rpm.physics.lbl.gov/event/speaker-kate-storey-fisher-new-york-university-title-galaxy-clustering-with-emulation-and-equivariant-machine-learning/
LOCATION:HYBRID 50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585\, 50A-5132
ORGANIZER;CN="Patrick McDonald":MAILTO:pvmcdonald@lbl.gov
END:VEVENT
END:VCALENDAR