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The number of solutions for the ray tracing problem is not stable as a function of the root finding tolerance parameter tol in analyticraytracing.py.
tol
analyticraytracing.py
For example, the following code:
x1 = np.array([478., 0., -149.]) x2 = np.array([1000., 0., -90.]) # direct ray solution ice = medium.ARAsim_southpole() r = ray.ray_tracing(x1,x2,ice) r.find_solutions()
Returns only one solution when tol=1e-4 but has two solutions when tol=1e-5.
tol=1e-4
tol=1e-5
The text was updated successfully, but these errors were encountered:
@cg-laser does your improvement in pull request #80 also address this issue?
Sorry, something went wrong.
Maybe, I can check. The objective function should look better now.
why is @clark2668 comment not visible on github?
Sorry @cg-laser , I deleted the comment. I realized I misunderstood the question before I answered.
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The number of solutions for the ray tracing problem is not stable as a function of the root finding tolerance parameter
tol
inanalyticraytracing.py
.For example, the following code:
Returns only one solution when
tol=1e-4
but has two solutions whentol=1e-5
.The text was updated successfully, but these errors were encountered: