Difference between revisions of "ForecastingStep1"

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This should be run for the test case for S4+Planck. This is T/E/kappa. No clusters or BAO at this point (can be posted in other entries though).
 
This should be run for the test case for S4+Planck. This is T/E/kappa. No clusters or BAO at this point (can be posted in other entries though).
Settings described [[Forecasting|here]]:
+
Settings described [[Forecasting|here]] and here:
 +
 
 +
*S4 = single channel (e.g. 150 GHz) at 1 uK/amin in T and 1.4uK/amin in P, 3 arcmin resolution.
 +
*White noise, no FG inflation
 +
 
 +
*S4 TT/TE/EE/kk over 40% of sky, 30<ell < lmax
 +
*Planck TT/TE/EE from 30<l<2500 over additional 20% of sky. Can use these 'Planck-pol' specs for noise:[[File:planck_pol.pdf|500px]]
 +
*Planck TT at l<30 over 80% of sky
 +
*Tau prior 0.06+-0.01
 +
 
 +
*lmax(TT)=3000 unless explicit foreground cleaning is done in code for kSZ etc
 +
*lmax(TE,EE)=5000 unless explicit foreground cleaning done in code
 +
*kk reconstructed from 30<l<lmax using MV estimate
 +
 
 +
*quadratic estimator for lensing, ideally with iterative delensing
 +
*Gaussian likelihood neglecting T/E/k covariance is ok, but non-Gaussian better
 +
*non-linear power spectrum for kk, e.g. ok to use halofit in CAMB
 +
 
  
  

Revision as of 04:08, 19 April 2016

Checking forecasting outputs

This should be run for the test case for S4+Planck. This is T/E/kappa. No clusters or BAO at this point (can be posted in other entries though). Settings described here and here:

  • S4 = single channel (e.g. 150 GHz) at 1 uK/amin in T and 1.4uK/amin in P, 3 arcmin resolution.
  • White noise, no FG inflation
  • S4 TT/TE/EE/kk over 40% of sky, 30<ell < lmax
  • Planck TT/TE/EE from 30<l<2500 over additional 20% of sky. Can use these 'Planck-pol' specs for noise:File:Planck pol.pdf
  • Planck TT at l<30 over 80% of sky
  • Tau prior 0.06+-0.01
  • lmax(TT)=3000 unless explicit foreground cleaning is done in code for kSZ etc
  • lmax(TE,EE)=5000 unless explicit foreground cleaning done in code
  • kk reconstructed from 30<l<lmax using MV estimate
  • quadratic estimator for lensing, ideally with iterative delensing
  • Gaussian likelihood neglecting T/E/k covariance is ok, but non-Gaussian better
  • non-linear power spectrum for kk, e.g. ok to use halofit in CAMB


Forecast parameters for LCDM (add columns if your code spits out different parameters e.g. h, sigma8)
obh2 och2 theta As ns
Stephen/Josquin
Alex/Joel/Dan
Mat/Neelima/Nam
Add your name here
Forecast parameters for LCDM+mnu (add columns if your code spits out different parameters e.g. h, sigma8)
obh2 och2 theta As ns mnu (meV)
Stephen/Josquin
Alex/Joel/Dan
Mat/Neelima/Nam
Add your name here