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Implementation of HD2017 dust model #37
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…accumulate for bandpass average.
@bthorne93 I'm finally back working on this, I have implemented unit tests, they don't pass!
PySM 3 does the calculation on float32 to save memory, but I don't think that is enough to explain the difference, what do you think? |
@zonca My first guess would be that this is just a result of the random generation of part of the spectral model using a different seed. We would need to check exactly how |
I created check_d7_353_64.fits |
See the notebook above here about how I created that test file |
freq_ref_I = "545 GHz" | ||
freq_ref_P = "353 GHz" | ||
rnd_uval = true | ||
seed = 4632 |
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@bthorne93
Compare to PySM2: https://github.com/bthorne93/PySM_public/blob/master/pysm/nominal.py#L122
Okay, doesn't seem to be that, the code setting the seed and doing the random generating is identical in the two versions. I'll take a deeper look now. |
The original pysm2 random generation was always done at nside 256, however the faulty implementation is doing the random generation on templates ud_graded to the model's nside. I've got the right results by adding an nside keyword to the model's read_map function. This might not be desirable, so can figure out a way to hard code the reading at 256 if that is preferred. |
Added nside overide for template component class
@bthorne93 can you also rebase on master, so the unit tests run |
@zonca Since it's a destructive operation, and I'm not comfortable enough with my git skills, would you mind doing that? I've added the docstring above. |
@bthorne93 sure, no problem |
@bthorne93 rebase was too messy, I merged! tests pass on my machine! |
Great! Should I merge? |
no, I'll make sure everything passes on travis then merge |
Not sure why github is not showing the travis builds feedback anymore. https://travis-ci.org/github/healpy/pysm/builds/670830673 excellent, thanks @bthorne93 ! |
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