February 19, 2019
11:30AM - 12:30PM
PRB 4138
Add to Calendar
2019-02-19 12:30:00
2019-02-19 13:30:00
CCAPP Seminar: "Robust sub-percentage measurements from large-scale structure of galaxy clustering"
Albert Chuang (Stanford University)
On-going and future galaxy surveys, e.g. DESI, Euclid, WFIRST, etc., are going to reach sub-percentage accuracy on the cosmological measurements, e.g., Baryon Acoustic Oscillation, growth rate of large-scale structure, etc. A robust methodology is required while reaching such precision. Any minor systematic error from observations, data analysis, or theoretical models might not be negligible for future surveys. I would like to give updates on the current methods, point out the potential systematics, and discuss the solutions.
PRB 4138
OSU ASC Drupal 8
ascwebservices@osu.edu
America/New_York
public
Date Range
Add to Calendar
2019-02-19 11:30:00
2019-02-19 12:30:00
CCAPP Seminar: "Robust sub-percentage measurements from large-scale structure of galaxy clustering"
Albert Chuang (Stanford University)
On-going and future galaxy surveys, e.g. DESI, Euclid, WFIRST, etc., are going to reach sub-percentage accuracy on the cosmological measurements, e.g., Baryon Acoustic Oscillation, growth rate of large-scale structure, etc. A robust methodology is required while reaching such precision. Any minor systematic error from observations, data analysis, or theoretical models might not be negligible for future surveys. I would like to give updates on the current methods, point out the potential systematics, and discuss the solutions.
PRB 4138
Center for Cosmology and AstroParticle Physics (CCAPP)
ccapp@osu.edu
America/New_York
public
Albert Chuang (Stanford University)
On-going and future galaxy surveys, e.g. DESI, Euclid, WFIRST, etc., are going to reach sub-percentage accuracy on the cosmological measurements, e.g., Baryon Acoustic Oscillation, growth rate of large-scale structure, etc. A robust methodology is required while reaching such precision. Any minor systematic error from observations, data analysis, or theoretical models might not be negligible for future surveys. I would like to give updates on the current methods, point out the potential systematics, and discuss the solutions.
