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I tried to compute the spectrum with namaster
instead of PolSpice, using all default options, just passing the mask with no apodization:
f_2 = nmt.NmtField(total_mask, m_planck[1:])
binning = nmt.NmtBin.from_nside_linear(nside, 1)
cl_22 = nmt.compute_full_master(f_2, f_2, binning)
but I pretty much get the same results:
the BB spectrum is very flat, the gamma fit is -0.0018
thanks @bthorne93 for suggesting to denoise the spectra, I made a rough estimate of the white noise level in EE and BB and now the agreement with the PySM 2 paper is reasonable. I'm merging this into the documentation of PySM 3 for future reference.
I am trying to reproduce the processing of the Commander Dust map into the PySM templates for Dust, as described in the PySM 2 paper: https://arxiv.org/pdf/1608.02841.pdf
Something looks wrong, in particular the BB spectrum I get is too flat. Any hints? You can comment directly line-by-line on the notebook here: https://app.reviewnb.com/healpy/pysm/pull/66/files/
Or just view a read-only version of the notebook here: https://nbviewer.jupyter.org/github/healpy/pysm/blob/37eb60355979b49a90405dab8624c830fbb64bd7/docs/template_preprocessing/reproduce_pysm2_dust.ipynb
@NicolettaK @bthorne93 @brandonshensley @jodunkley