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X-WR-CALNAME:LBNL Physics Division Research Progress Meetings
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DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20240606T160000
DTEND;TZID=UTC:20240606T170000
DTSTAMP:20260414T150412
CREATED:20240528T203504Z
LAST-MODIFIED:20240528T203504Z
UID:2616-1717689600-1717693200@rpm.physics.lbl.gov
SUMMARY:Speaker: Rachel Mannino (LLNL) - Title: Dark Matter Searches with the Axion Dark Matter eXperiment (ADMX)
DESCRIPTION:Research Progress Meeting \nDate: June 6\, 2024 \nTime: 4:00- 5:00 pm \nLocation: Sessler Conference Room- 50A-5132 [In-Person and HYBRID]  \nSpeaker: Rachel Mannino (LLNL) \nTitle: Dark Matter Searches with the Axion Dark Matter eXperiment (ADMX) \nAbstract: For decades\, we have been collecting indirect astrophysical evidence that ordinary matter only\ncomprises about 5% of the mass-energy content in the universe with the remaining split between dark\nmatter and dark energy. Potential dark matter candidates span a wide parameter space\, and many\nparallel efforts are in progress to detect and identify the nature of dark matter. The Axion Dark Matter\neXperiment (ADMX) searches for the axion\, a leading low-mass dark matter candidate and a potential\nsolution to the strong CP problem\, by searching for an axion’s conversion to two microwave photons in a\nstrong magnetic field. I will present an overview of ADMX’s past and present axion searches using a\nsingle microwave cavity and the planned next generation ADMX-2A and ADMX-EFR (Extended\nFrequency Range) detectors.\nThis work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore\nNational Laboratory under Contract DE-AC52-07NA27344.\nLLNL-ABS-864832 \nJoin Zoom Meeting \nhttps://lbnl.zoom.us/j/98854322464?pwd=K2tKUm1VZjRlV1J5RHE3cXdHQzRxdz09\n\nMeeting ID: 988 5432 2464\n\nPasscode: 142239
URL:https://rpm.physics.lbl.gov/event/speaker-rachel-mannino-llnl-title-dark-matter-searches-with-the-axion-dark-matter-experiment-admx/
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BEGIN:VEVENT
DTSTART;TZID=UTC:20240613T160000
DTEND;TZID=UTC:20240613T170000
DTSTAMP:20260414T150412
CREATED:20240604T215932Z
LAST-MODIFIED:20240604T215932Z
UID:2624-1718294400-1718298000@rpm.physics.lbl.gov
SUMMARY:Speaker: Brenda Frye (University of Arizona) - Title: Measuring the Hubble-Lemaitre Constant with James Webb Space Telescope Observations of the Lensed Supernova H0pe
DESCRIPTION:Research Progress Meeting \nDate: June 13\, 2024 \nTime: 4:00- 5:00 pm \nLocation: Sessler Conference Room- 50A-5132 [In-Person and HYBRID]  \nSpeaker: Brenda Frye (University of Arizona) \nTitle: Measuring the Hubble-Lemaitre Constant with James Webb Space Telescope Observations of the Lensed Supernova H0pe \nAbstract: A review of cluster lensing in the first two years of James Webb Space Telescope (JWST) observations is presented\, focussing on the JWST Guaranteed Time Observations (GTO) program the Prime Extragalactic Areas for Reionization and Lensing Science (PEARLS). These observations range from the spectacle of JWST “first light” images of the distant universe to dense galaxy cluster fields that uncovered unprecedented numbers of giant arcs and image multiplicities. A point-source was discovered in the PEARLS image of the galaxy cluster field PLCK G165.7+67.0 (G165) that is bright and appears in three different locations as a result of strong lensing. Additional JWST observations confirmed this source to be a normal Type Ia supernova (SN) at a redshift of 1.783 that we call “SN H0pe\,” making it one of the highest redshift standard candles. In a blinded approach\, seven independent lens models were constructed\, and time delays between the images were measured in two ways\, off of: (1) the light curve\, and (2) model fits to the spectra of each of the three SN images. During the unblinding event\, a value for H0 was inferred by rescaling the lens-model predicted time delays to match the measured time delays. This is only the second measurement of H0 by the method of a multiply-imaged supernova\, and the first by a standard candle. G165 has one of the highest rates of star formation summed up over the background lensed sources\, making continued monitoring potentially rewarding for the discovery of additional SNe. \nJoin Zoom Meeting \nhttps://lbnl.zoom.us/j/98854322464?pwd=K2tKUm1VZjRlV1J5RHE3cXdHQzRxdz09\n\nMeeting ID: 988 5432 2464\n\nPasscode: 142239
URL:https://rpm.physics.lbl.gov/event/speaker-brenda-frye-university-of-arizona-title-measuring-the-hubble-lemaitre-constant-with-james-webb-space-telescope-observations-of-the-lensed-supernova-h0pe/
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BEGIN:VEVENT
DTSTART;TZID=UTC:20240618T160000
DTEND;TZID=UTC:20240618T170000
DTSTAMP:20260414T150412
CREATED:20240611T211625Z
LAST-MODIFIED:20240613T002021Z
UID:2627-1718726400-1718730000@rpm.physics.lbl.gov
SUMMARY:Speaker: David Miller (University of Chicago) - Title: Black Boxes or Interpretable Models? Applications of Machine Learning\, Symmetries\, and Domain Knowledge to High-Dimensional Problems in Particle Physics.
DESCRIPTION:Research Progress Meeting \nDate: June 18\, 2024 \nTime: 4:00- 5:00 pm  \nLocation: Sessler Conference Room- 50A-5132 [In-Person and HYBRID]  \nSpeaker: David Miller (University of Chicago) \nTitle: Black Boxes or Interpretable Models? Applications of Machine Learning\, Symmetries\, and Domain Knowledge to High-Dimensional Problems in Particle Physics. \nAbstract: The world of artificial intelligence (AI) and machine learning (ML) has undergone what some scientists refer to as the “3rd Age of AI” due to the confluence of developments in Algorithms\, Computing Resources\, and Big Data. Particle Physics has benefitted from\, and in many ways strengthened and advanced\, progress in AI/ML for decades due to its proliferation of enormous data sets\, complex instrumentation\, and enormous computing infrastructure. However\, there exist both known and unknown deficiencies in our ability to explain “why” some AI/ML models yield a certain result. In this talk\, I will discuss some of the context and applications of AI/ML in experimental particle physics. I will then focus on a few projects ongoing in my group that we believe target important problems relevant to the use of machine learning\, symmetries\, and domain knowledge in particle physics. \n\nJoin Zoom Meeting\nhttps://lbnl.zoom.us/j/95679892182?pwd=RU5xU2dDRFNabnR1U3pQMklkYWFIdz09 \nMeeting ID: 956 7989 2182 \nPasscode: 169037
URL:https://rpm.physics.lbl.gov/event/speaker-david-miller-university-of-chicago-title-a-new-paradigm-for-axion-discovery-from-broadband-direct-detection-to-collider-interpretations/
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