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SUMMARY:Fundamental Cosmology from First Principles: The Effective Field T
 heory of Large-Scale Structure for Next-Generation Cosmological Experiment
 s
DTSTART:20250313T180000Z
DTEND:20250313T190000Z
DTSTAMP:20260614T055200Z
UID:indico-event-9675@indico.slac.stanford.edu
CONTACT:pianetta@SLAC.stanford.edu
DESCRIPTION:Speakers: Shi-Fan Stephen Chen (Institute for Advanced Study)\
 n\nWith the Dark Energy Spectroscopic Instrument (DESI) well into its five
 -year run and first imaging and CMB data from the Rubin Observatory (LSST)
  and the Simons Observatory (SO) imminent\, we are entering an unprecedent
 ed new regime in precision cosmology. Simultaneously\, the past decade has
  seen significant advances in the modeling of cosmological structure forma
 tion from first principles\, particularly by leveraging techniques from ef
 fective field theory (EFT) to consistently account for the impact of compl
 ex astrophysical effects like star formation and active galactic nuclei. I
 ndeed\, the so-called “EFT of Large-Scale Structure” has become the te
 chnique of choice for extracting fundamental physics from spectroscopic su
 rveys like DESI. In this talk I will review some of these developments\, i
 ncluding the analysis of first-year DESI data\, and argue that the same te
 chniques can be extended to analyze upcoming data from surveys like LSST a
 nd SO while shedding light on key current unknowns from the nature of dark
  energy to the cosmic alignments of galaxy shapes. I will also discuss syn
 ergies between these techniques and simulations-based methods in cosmology
 \, and how both will be necessary to conduct the most optimal and robust s
 earches for fundamental physics in upcoming data. Join from PC\, Mac\, Li
 nux\, iOS or Android:https://stanford.zoom.us/j/99408454004?pwd=wU98A9cTZQ
 PouJlfr6osbCMnaGbRZo.1    Password: 659873 Or iPhone one-tap (US Toll)
 : +18333021536\,\,99408454004# or +16507249799\,\,99408454004#\n\nhttps
 ://indico.slac.stanford.edu/event/9675/
LOCATION:48/2-224 - Madrone (SLAC)
URL:https://indico.slac.stanford.edu/event/9675/
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