Final pager
This posting follows from
20180827_bkfinal_04
and shows results for three masks: 04 is nominal 3% circular, 04b is nominal Chile and 04c
is Pole (BICEP3 2017).
We show results for all the available foreground models which cover the full sky.
These are: Uniform Gaussian 00, PySM models 01/02/03, amp mod Gaussian 07, MKD
multilayer 08 (arxiv/1706.04162), and
Vansyngel 09 arxiv/1611.02577).
Legend for first half of the "Figure types":
- Thick red :
lensed-ΛCDM scalars
- Thick black :
Real data
- Colored : lensed-ΛCDM + noise + foreground realizations
Legend for second half of the "Figure types":
spectra
- thick red
: lensed-ΛCDM
- thin gray :
s+n+f simulations with lensed-ΛCDM (sim type 5) and
foregrounds (sim type 3) as signal, debiased with noise (sim type
6)
- thick gray :
mean of sims (thin gray)
- red points with blue error bars :
real data, debiased with the noise, uncertainties from the spread of
the s+n+f sims (thin gray)
bp devs
- thin gray :
s+n+f sims
- thin red :
1 sigma contours
- thin green :
2 sigma contours
- thick black + markers :
real data
- red markers :
bins that go into chi2 analysis
Note: The contours mark the simulated bandpower in each bin closest
to the respective percentile.
chi2
- red vertical :
real data
- blue :
distribution from s+n+f sims
- green :
chi2 probability distribution fitted to blue
sum bp devs
- red vertical :
real data
- blue :
distribution from s+n+f sims
uncertainties
- red :
std of s+n+f sims
- blue :
std of noise-only sims
Note: Remember that bandpower is a variance. Hence bandpower error bar
is the std of a variance. This means noise and sample fluctuation
components straight add, no quadrature — i.e. the difference between blue
and red is the signal fluctatution component.