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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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can we assume the metric to be symmetric? #1

Closed karenyyng closed 9 years ago

karenyyng commented 9 years ago

@mdschneider it seems you have assumed the metric D to be symmetric (and left out a factor of 2 in the following equation) in the notes you gave me. Is it ok to derive everything assuming D is symmetric right now? Thanks :) screen shot 2014-12-14 at 10 47 56 pm

karenyyng commented 9 years ago

having an asymmetric metric seems unphysical

mdschneider commented 9 years ago

I think we can assume a symmetric (and even diagonal) metric for now. I’ve imagined we might want to model an asymmetric metric when including observational effects like the warping of the coordinate grid (which can introduce anisotropy in the image). But this type of feature is probably long down our road of development.

On Dec 15, 2014, at 12:22 AM, Karen Ng notifications@github.com wrote:

having an asymmetric metric seems unphysical

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karenyyng commented 9 years ago

Thanks for the clarification. :) I will keep that in mind when I write the metric class for the different cases.