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DTSTART;TZID=America/Los_Angeles:20240412T120000
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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/
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