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We have 100 cosmological models (x 10,000 map realizations each) and computed higher-order statistics (power spectrum, bispectrum, PDF, peak counts) on all of them. We would like help to apply LFI on them.
Contacts: Jia Liu
Participants: Jia Liu, Will Coulton
Goals and deliverable
Get a posterior using an (or multiple!) LFI method(s), and compare that with our (already done) Gaussian-likelihood result.
what do we need? mean and variance at each of the 100 models? or the full distribution instead of variance. If latter, I want to see the difference between the 2.
how do we scale to a different sky coverage that's different than our simulation size? (e.g. normally we multiple our covariance matrix by a number..)
The text was updated successfully, but these errors were encountered:
LFI on neutrino mass from cosmology
We have 100 cosmological models (x 10,000 map realizations each) and computed higher-order statistics (power spectrum, bispectrum, PDF, peak counts) on all of them. We would like help to apply LFI on them.
Contacts: Jia Liu
Participants: Jia Liu, Will Coulton
Goals and deliverable
Get a posterior using an (or multiple!) LFI method(s), and compare that with our (already done) Gaussian-likelihood result.
Resources needed
We will use statistics computed already from the MassiveNuS simulation: http://columbialensing.org/#massivenus
Detailed description
More like questions:
The text was updated successfully, but these errors were encountered: