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As requested by @sssaito to support work on ongoing project with @duncandc - we will need jackknife error estimates on the tpcf multipole calculations, which are currently only supported for tpcf in 3d.
I think that the current weighted-pair-counting scheme used in tpcf should carry over directly, but @duncandc should weigh in about this if there are subtleties that I'm not thinking of
The text was updated successfully, but these errors were encountered:
Yeah, we can use the same set-up in the tpcf_jackknife function. This has long been on my list for both tpcf_s_mu_jackknife and tpcf_rp_pi_jackknife. We should consider if it makes sense to combine these somehow with their non-jackknife cousins.
I have been thinking about how we might pre-compute some results for large numbers of randoms to speed up these jackknife calculations.
Yeah, #234 is also long-standing. Probably all these different variations would best done in a sprint, since they're all so similar.
Re: combining things. That'd be fine, like with a keyword to the primary function(s) for whether or not to return jackknife covariances. But all the guts could remain the same. The keyword could just redirect control flow to existing functions.
Re pre-compute. For gg-lensing chains I have been working on, I have been using the API of delta_sigma_from_precomputed_pairs finding it to be pretty convenient, in case you do tackle this and a specific example would be helpful, either for halotools or otherwise.
As requested by @sssaito to support work on ongoing project with @duncandc - we will need jackknife error estimates on the tpcf multipole calculations, which are currently only supported for
tpcf
in 3d.I think that the current weighted-pair-counting scheme used in
tpcf
should carry over directly, but @duncandc should weigh in about this if there are subtleties that I'm not thinking ofThe text was updated successfully, but these errors were encountered: