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DTSTART;TZID=America/Los_Angeles:20240405T120000
DTEND;TZID=America/Los_Angeles:20240405T130000
DTSTAMP:20260426T043247
CREATED:20240215T212737Z
LAST-MODIFIED:20240325T151924Z
UID:1720-1712318400-1712322000@inpa.lbl.gov
SUMMARY:Speaker: Eric Gawiser (Rutgers) Title: Improving Photometric Redshifts for 3x2pt Cosmology: Training Sample Augmentation\, Optimal Binning\, and Neural Network Classifiers
DESCRIPTION:INPA SEMINAR TALK \nDate:  Friday\, April 5\, 2024 \nTime: 12:00 PM – 1:00 PM \nLocation: Sessler Conference Room–50A-5132 [Hybrid and In-Person] \nSpeaker: Eric Gawiser (Rutgers) \nTitle: Improving Photometric Redshifts for 3x2pt Cosmology: Training Sample Augmentation\, Optimal Binning\, and Neural Network Classifiers \nAbstract: Large imaging surveys of galaxies rely on photometric redshifts (photo-z’s) and tomographic binning for 3 × 2 pt analyses that combine galaxy clustering and weak lensing. We divide simulated galaxy catalogs into training and application sets\, where the spectroscopic training set is non-representative in a realistic way\, and then estimate photometric redshifts for the application set. Spectroscopic training samples for the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will be biased towards redder\, brighter\, lower-redshift galaxies\, leading to photo-z estimates with outlier fractions nearly 4 times larger than for a representative training sample. Training sample augmentation allows us to add simulated galaxies possessing otherwise unrepresented features to our mock spectroscopic training sample\, reducing the outlier fraction of the photo-z estimates by 50% and the scatter by 56%. We sort the galaxies into redshift bins chosen to maximize the 3x2pt signal using a novel generalized binning parameterization introduced by Moskowitz et al. (2023\, ApJ 950\, 49). Applying a neural network classifier trained to identify galaxies that are highly likely to be sorted into the correct redshift bin improves the figure of merit by ∼13%\, equivalent to a 28% increase in data volume. \nJoin Zoom Meeting\nhttps://lbnl.zoom.us/j/95016696011?pwd=Tk1XOW1Xd3RYRnlsc2tEYmRWZlVVZz09 \nMeeting ID: 950 1669 6011 \nPasscode: 247722
URL:https://inpa.lbl.gov/event/speaker-eric-gawiser-rutgers-title-improving-photometric-redshifts-for-3x2pt-cosmology-training-sample-augmentation-optimal-binning-and-neural-network-classifiers/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240412T120000
DTEND;TZID=America/Los_Angeles:20240412T130000
DTSTAMP:20260426T043247
CREATED:20240215T213249Z
LAST-MODIFIED:20240408T171157Z
UID:1722-1712923200-1712926800@inpa.lbl.gov
SUMMARY:Speaker: Elisabeth Krause (U of Arizona) Title: A Parameter-Masked Mock Data Challenge for Beyond-Two-Point Galaxy Clustering Statistics
DESCRIPTION:INPA SEMINAR TALK \nDate: Friday\, April 12\, 2024 \nTime: 12:00 PM – 1:00 PM \nLocation: Sessler Conference Room–50A-5132 [Hybrid and In-Person] \nSpeaker: Elisabeth Krause (U of Arizona) \nTitle: A Parameter-Masked Mock Data Challenge for Beyond-Two-Point Galaxy Clustering Statistics \nAbstract: The last few years has seen the emergence of a vast array of novel techniques for the analysis of high precision data from upcoming galaxy surveys\, which are primarily motivated by the notion that any optimal analysis of galaxy clustering data should extend beyond the canonical two-point (2pt) statistics. We test and benchmark some of these new techniques\nin a community data challenge “Beyond-2pt’’. The challenge dataset consists of high-precision mock galaxy catalogs for clustering in real-space\, redshift-space\, and on a light cone. Participants in the challenge have developed end-to-end pipelines to analyze mock catalogs and extract unknown (“masked”) cosmological parameters of the underlying LCDM models with their methods. The methods represented are density-split clustering\, nearest neighbor statistics\, BACCO power spectrum emulator\, void statistics\, field-level effective field theory (EFT)\, and joint power spectrum and bispectrum analyses using both EFT and simulation-based inference.\nI will review the results of the challenge\, focusing on problems solved\, lessons learned\, and future research needed to perfect the emerging beyond-2pt approaches.  \nJoin Zoom \nhttps://lbnl.zoom.us/j/95016696011?pwd=Tk1XOW1Xd3RYRnlsc2tEYmRWZlVVZz09 \nMeeting ID: 950 1669 6011 \nPasscode: 247722
URL:https://inpa.lbl.gov/event/speaker-elisabeth-krause-u-of-arizona-title-tbd/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240419T120000
DTEND;TZID=America/Los_Angeles:20240419T130000
DTSTAMP:20260426T043247
CREATED:20240215T214009Z
LAST-MODIFIED:20240313T222639Z
UID:1726-1713528000-1713531600@inpa.lbl.gov
SUMMARY:Speaker: TBA Title: TBD
DESCRIPTION:INPA SEMINAR TALK \nDate: Friday\, April 19\, 2024 \nTime: 12:00 PM – 1:00 PM \nLocation: Sessler Conference Room–50A-5132 [Hybrid and In-Person] \nSpeaker: TBA \nTitle:TBD \nAbstract: TBD \nJoin Zoom \nhttps://lbnl.zoom.us/j/95016696011?pwd=Tk1XOW1Xd3RYRnlsc2tEYmRWZlVVZz09 \nMeeting ID: 950 1669 6011
URL:https://inpa.lbl.gov/event/speaker-chiara-salemi-slactitle-quantum-sensors-with-application-to-axion-searches/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240426T120000
DTEND;TZID=America/Los_Angeles:20240426T130000
DTSTAMP:20260426T043247
CREATED:20240215T215022Z
LAST-MODIFIED:20240415T151837Z
UID:1730-1714132800-1714136400@inpa.lbl.gov
SUMMARY:Speaker: Johann Martyn (Mainz University) Title: "Using Cherenkov light to measure solar neutrinos in liquid scintillator detectors "
DESCRIPTION:INPA SEMINAR TALK \nDate: Friday\, April 26\, 2024 \nTime: 12:00 PM – 1:00 PM \nLocation: Sessler Conference Room–50A-5132 [Hybrid and In-Person] \nSpeaker: Johann Martyn (Mainz University) [Remote talk] \nTitle: Using Cherenkov light to measure solar neutrinos in liquid scintillator detectors\n \nAbstract: At present\, solar neutrinos are observed either with liquid scintillator detectors or with water Cherenkov detectors. Liquid scintillator detection in particular is the only technique that allows precision spectroscopy of sub-MeV solar neutrinos\, which is made possible by the high light-yield of the scintillation\, allowing for a low energy threshold of ∼0.2 MeV. In contrast\, water Cherenkov detectors are only able to measure solar neutrinos above a few MeV with high precision. They reconstruct the event direction via the corresponding Cherenkov photon hits\, to differentiate between the solar neutrino signal and the background events. A hybrid event detection approach\, combining both the directional Cherenkov information and the high light-yield and low energy threshold of the scintillation spectroscopy enables an unprecedented precision for the measurement of solar neutrinos and potentially other physics goals. This talk describes the first measurement of solar neutrinos in a liquid scintillator detector through their directional Cherenkov photons\, using Borexino\, a 280 ton\, high light-yield liquid scintillator detector at the Gran Sasso National Laboratory in Italy. \nJoin Zoom \nhttps://lbnl.zoom.us/j/95016696011?pwd=Tk1XOW1Xd3RYRnlsc2tEYmRWZlVVZz09 \nMeeting ID: 950 1669 6011
URL:https://inpa.lbl.gov/event/speaker-johann-martyn-mainz-university-title-recent-directionality-results-for-solar-neutrinos-detected-in-pure-ls-detectors-borexino/
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