karenyyng shear_gp issues - Githubissues

karenyyng / shear_gp

code for using GP for inferring the 2D lensing potential. Accompanying gaussian process repo is:

https://github.com/karenyyng/george

1 stars 0 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

provide numerical evaluation of the 4th spatial derivatives for covariance matrix

#13 karenyyng opened 8 years ago
1
Install BigGP on Cori for timing benchmark

#12 karenyyng opened 8 years ago
0
Derive and implement derivative kernels for B-mode potential

#11 mdschneider opened 8 years ago
0
Derive concise expressions for the variance kappa, gamma given the GP precision for the lens potential

#10 mdschneider opened 8 years ago
0
Implement OpenMP interface for `GravLensingExpSquaredKernel` matrix construction in kernels.h

#9 mdschneider opened 8 years ago
0
check that specific member variables are only instantiated once

#8 karenyyng closed 8 years ago
1
Create a 'composite kernel' class for (kappa, g1, g1, [lens potential])

#7 mdschneider closed 8 years ago
12
Make consistent indexing of metric parameters in DerivativeExpSquaredKernel

#6 mdschneider opened 9 years ago
2
Enable use of tapered GP covariances in sparse matrix representations

#5 mdschneider closed 8 years ago
1
Let derivative Kernels take a scalar as `metric` argument as well as list of length `ndim`

#4 mdschneider opened 9 years ago
0
use separate variables for metric and correlation parameter

#3 karenyyng opened 9 years ago
2
tests needed for different inv. precision param for Cython kernel

#2 karenyyng closed 9 years ago
2
can we assume the metric to be symmetric?

#1 karenyyng closed 9 years ago
3