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karenyyng
/
shear_gp
code for using GP for inferring the 2D lensing potential. Accompanying gaussian process repo is:
https://github.com/karenyyng/george
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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
9 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
9 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