BK-style processing of DC1 maps to spectra

— J. Willmert, C. Bischoff

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The power spectra presented here are analyzed from the input HEALPix maps using the S2HAT and PS2HAT libraries (see also arXiv:0903.2350). Custom MATLAB mex bindings interface to the (P)S2HAT library and permit us to finishing processing using the MATLAB pipeline used for standard BICEP/Keck analysis (i.e. our FFT steps are replaced with (P)S2HAT, but debiasing, suppression factor correction, etc follow the same code path as used in BK analysis; see for example arXiv:1403.3985 and arXiv:1603.05976 for more details on the BK pipeline).

Notes and caveats:

Final pager

Figure 1Final Pager

Legend for first half of the "Figure types":

Note: Noise Debias done with LCDM unlensed scalars realizations

Legend for second half of the "Figure types":


bp devs

Note: The contours mark the simulated bandpower in each bin closest to the respective percentile.


sum bp devs


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.