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X-FROM-URL:https://www.bayareascience.org/calendar/index.php?com=details&eID=27260
X-WR-RELCALID:BayAreaScience.org  A Hybrid Deep Learning Approach to Cosmological Constraints From Galaxy Redshift Surveys  20200121T131000
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X-WR-CALNAME:BayAreaScience.org
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URL;VALUE=URI:https://www.bayareascience.org/calendar/index.php?com=detail&eID=27260
DTSTART:20200121T131000
DTEND:20200121T131000
SUMMARY: A Hybrid Deep Learning Approach to Cosmological Constraints From Galaxy Redshift Surveys 
DESCRIPTION:I will present a new technique for accurately determining sigma_8 and Omega_m from mock 3D galaxy surveys. The method is a hybrid technique\; it merges deep machine learning with physics. The method...\n______________________________\nThis Event Downloaded From a Helios Calendar Powered Site
LOCATION:Campbell Hall\, Rm 131 A - UC Berkeley \, Berkeley\, CA USA 94720
CATEGORIES:BayAreaScience.org Events
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