Campuses:
center_150GHz_mask400px5d_l720_alm.fits
)To give some idea of what level of removal is necessary I multiplied the sidelobe by a scaling factor, alpha, and added noise then recalculated the Cl's. I based the scaling factor on the map noise level for these 155 GHz detectors.
Possible noise levels to compare sidelobes to:
Intensity of sidelobes, all units are uK, Q and U are the median and max of absolute value of Q, U:
I | Q | U | ||
---|---|---|---|---|
Masked map | Mean | 0.10 | 0.018 | 0.015 |
Max | 0.21 | 0.12 | 0.11 | |
Full map | Mean | 0.28 | 0.022 | 0.014 |
Max | 2.6 | 0.58 | 0.14 |
When looking at the masked map, which is what makes sense for B-modes as this is the cleanest 40% of the sky, the average polarized sidelobe level is less than the map noise. This takes away the simplest option of reducing the sidelobe power until its average is equal to the noise level. Instead I reduced the sidelobe power until the max in the maxed region was approximately at the noise level. This gives the following power spectra.
For these power spectra I multiplied by the FSL map by alpha, added white noise where each map pixel value is drawn from a gaussian with sigma equal to the quoted noise level (scaled to appropriate pixel size, nside=512), and applied the galaxy mask. The power spectra are calculated using the healpy anafast function.
Bottom line: We need to remove about 60% of the sidelobes to get to r of 10^-3 and about 90% to reach r = 10^-4
NERSC
/global/cscratch1/sd/zonca/pico/conviqt_sim/201810_boresight_1pix4det_conviqt_realbeams_mask5deg_1y
tape
~zonca/pico/conviqt_sim/201810_boresight_1pix4det_conviqt_realbeams_mask5deg_1y