Pipeline

main.py

usage: main [-h] [-d] [-p N] [-a N] [-r RELEASE] flavor

Positional arguments:

flavor

the pipeline flavor in [“test”, “cmbmap”, “calib”]

Options:

-d=False, --debug=False
	Start jobs in interactive mode
-p, --process	Launch jobs as local parallel N processes
-a, --add-workers
	Launch jobs through PBS system. Start a server and N workers.
-r=dx11dr2, --release=dx11dr2
	Data set to be processed in [‘dx11dr2’, ‘ffp8’]

ps_fit.py

ps_fit.compute_variance(name)

Compute variance map from half ring

ps_fit.fit_postproc(fit_cat, maxxi2, high_snr)

Post processing of the fit catalog includes snr sorting and chi2 cut

ps_fit.main()

Perform point source subtraction, and compute corresponding point source mask For freq>=545, use a point source mask only.

map2alm.py

map2alm.do_ps_subtraction(mapF, name, dset)

Perform point source subtraction as fitted on full data set

map2alm.get_mask(nside, fsky=0, radius=60)

Return - point source mask -> to be applied to I and fastfilled - apodized galactic mask -> to be applied to T, E and B maps

map2alm.main()

Apply source subtraction and masking Compute alm from map

mixmat.py

mixmat.compute_covariance(names, bins, dset='full')

Compute covariance matrices

mixmat.main()

Fit the mixing matrix from 2nd order statistics

powspec.py

powspec.main()

Fit the power spectra from 2nd order statistics

alm2map.py

alm2map.alm2map(alms, nfield, nside=2048)

Run healpy.alm2map with correct input format, and return a list of map

T: alm array E,B: list of alm

alm2map.diff_with_input(almFs, fields, bl_lowres, nside, vmin, vmax, cmb_unit)

Compute low resolution difference map with input CMB (ffp8 case)

alm2map.get_minmax(comp, polar, cmb_unit, lowres=False, residual=False)

alm2map.main()

Compute component map

alm2map.plot_outcmbcl(Fl, hRl, Rl, acmb, N, name='')

alm2map.plot_snr(snr, beam, comp)