Closed yaojian95 closed 1 year ago
see https://pysm3.readthedocs.io/en/latest/preprocess-templates/small_scale_dust_pysm3.html
cell 11 and below.
For temperature we are using a custom map at 21.8’, for polarization we were supposed to use varres
.
However, there is a bug in cell 13:
!wget -O $dust_varresP http://pla.esac.esa.int/pla/aio/product-action?MAP.MAP_ID=COM_CompMap_IQU-thermaldust-gnilc-unires_2048_R3.00.fits
it looks like it is downloading unires
even for the varres
case.
Thank you very much for catching this bug, I'll make sure I fix it when I regenerate the templates with the new small scales.
This fix is included in https://github.com/galsci/pysm/pull/150
Hi Andrea,
I'm calculating the full-sky power spectra of map from last November
/global/cfs/cdirs/cmb/www/pysm-data/dust_gnilc/![image](https://user-images.githubusercontent.com/14847517/216408071-033685cd-e921-4c59-b6f8-698b53ddbe99.png)
and it's shown in the plot (ignore the titles)and also this map but transformed into
small iqu
quantities then calculated the full-sky power spectraThen I also use the latest map from Giuseppe
/global/cscratch1/sd/giuspugl/cmbs4/pysm_validation/dust_gnilc_varres_pysm_circles_uKcmb.fits
to calculate the full-sky power spectraalso transformed into
small iqu
quantitiesFrom what I know, besides the modulation to the small scales, there should not be other differences between the
gnilc_dust_template_nside2048.fits
anddust_gnilc_varres_pysm_circles_uKcmb.fits
. But the power spectra fromgnilc_dust_template_nside2048.fits
seems to show that this map is based onGNILC-unires
large-scale templates, which can be shown if we have a look at the power spectra the Peppe had in his slides:Can you check that if you use
varres
orunires
large-scale template to generate the maps?