Implement scale cuts based on kmax

LSSTDESC / augur

DESC forecasting and inference validation tool

MIT License

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Implement scale cuts based on kmax #4

Closed slosar closed 3 years ago

slosar commented 4 years ago

This will probably require a PR in firecrown and just appropriate options switch on in augur.

slosar commented 4 years ago

After some thinking, I think we can put this on the side of augur after all. The ell_edges are now implemented so that if it is a string, it gets evaluated. ie.

ell_edges: np.logspace(np.log10(23),np.log10(2400),15)

we can probably define a cosmology and some functions so that

ell_edges: binning.log_with_kmax(24, 2400 , 15, 0.3, cosmo, z1, z2)

where cosmo, z1 and z2 and predefined. Or something.