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Dark Energy with Large Scale Structure Beth Reid Cosmology Data - PowerPoint PPT Presentation

Jan 12, 2024 •21 likes •121 views

Dark Energy with Large Scale Structure Beth Reid Cosmology Data Science Fellow Berkeley Center for Cosmological Physics Lawrence Berkeley National Lab Sloan Digital Sky Survey Apache Point, New Mexico The Observable Universe SDSS-III Baryon

  1. Dark Energy with Large Scale Structure Beth Reid Cosmology Data Science Fellow Berkeley Center for Cosmological Physics Lawrence Berkeley National Lab Sloan Digital Sky Survey Apache Point, New Mexico

  2. The Observable Universe

  3. SDSS-III Baryon Oscillation Spectroscopic Survey (BOSS) map Finished last Monday! Ly- α forest: absorption of background quasar light by neutral hydrogen

  4. Upcoming Projects: eBOSS (Fall 2014 on SDSS telescope) and DESI (~2018 on the Mayall telescope)

  5. Science Questions • Is dark energy Einstein’s cosmological constant, quintessence, a signature of modified gravity? • What are the properties of dark matter? Is it really “cold”? • What were the initial conditions of the universe? • What are the neutrino masses?

  6. Methodology • Measure the expansion history of the universe with the Baryon Acoustic Oscillation (BAO) standard ruler

  7. Methodology • Measure the expansion history of the universe with the Baryon Acoustic Oscillation (BAO) standard ruler 450 Mlyr 150 Mpc

  8. Methodology • Measure the expansion history of the universe with the Baryon Acoustic Oscillation (BAO) standard ruler • Latest BOSS results: a 1% Galaxy Correlations distance measurement • DESI will make 35 1% measurements, across most of 450 Mlyr cosmic history!

  9. Large Scale Structure @ Berkeley • Mastermind (targeting, data reduction, telescopes..): David Schlegel • Theory/Simulations/Science Analyses: Robert Cahn, Eric Linder, Zarija Lukic, Pat McDonald, Peter Nugent, Beth Reid, Urôs Seljak, Martin White • Hardware: Michael Levi, Natalie Roe, Chris Bebek, ++ • Software: Stephen Bailey, Ted Kisner • .. and lots of postdocs/grad students

  10. Why you should come to Berkeley to learn data science

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