| Age | Commit message (Collapse) | Author | |
|---|---|---|---|
| 2011-09-03 | GPU-based sampling from an arbitrary distribition. | Stan Seibert | |
| The sample_cdf() device function will draw random numbers from an arbitrary disribution given a cumulative distribution function in the form of a list of x,y points, beginning with y=0 and ending with y=1. For an example of how to convert a ROOT histogram to this form, see the unit test in test_sample_cdf.py | |||
| 2011-06-23 | move photon initialization to the gpu. it's unclear if this is a speed ↵ | Anthony LaTorre | |
| improvement. | |||
| 2011-06-12 | added some fun models; added some untested code to implement absorption, ↵ | Anthony LaTorre | |
| scattering, reflection, and refraction | |||
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index : chroma | |
| Chroma is a high performance optical photon simulation for particle physics detectors | Anthony LaTorre |
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