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single call by calling np.min() and np.max() along an axis
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they didn't build the geometry before loading it on the GPU.
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locally-attached Space Navigator 3D mouse. Assumes you have the open
source spacenavd and libspnav installed. (Both included in Ubuntu now.)
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of ungrouped instead of grouped vertices from a mesh
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Loads a geometry specified on the command line, uses GEANT4 to create
initial photon vertices, propagates with Chroma, then writes the DAQ-level
hit information out to a ROOT file.
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inside the Chroma directory. Put this in your home directory or other
work directory to access Chroma ROOT files.
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using the same string decorators as in camera and view.
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geometry requires global device pointers, there should be a one to one correspondence between modules and contexts. the current plan is to perform all gpu operations within this class. also add a simple color map to display hit pmt charge and timing information.
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Propagates a particle through a huge volume of some material and harvest
the photon vertices that are created for propagation with Chroma.
Relies on a patched version of g4py, plus a local boost.python module that
is built at import time if needed. (Does not detect changes to rebuild,
however.)
Chroma materials can now have a density set, as well as an elemental
composition (by weight) that is used by this generator.
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pressing the m key.
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now thrown randomly across each triangle instead of only at the center of each triangle. all of the rendering kernels have been rewritten so that they operate additively; for example, you may now throw photons from the light source onto the scene, render from the camera to the scene, then throw more photons and render again.
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acrylic vessel. There are serious issues with this model which
probably make it unsuitable for photon propagation at the moment.
(Example: Why do you need to traverse 8 surfaces to cross the acrylic
vessel? There should only be 4.)
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to integers in alpha blending until the last step.
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PMTs in the right place and acrylic vessel. No new material properties
yet.
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the hybrid monte carlo ray tracer in a separate thread. the camera object is initialized by passing a pycuda.driver.Context object and a threading.Lock object; you can then run kernels and copy arrays to and from the device in the same context as that used by the camera by acquiring the lock, calling context.push(), executing the kernel and/or copying arrays, calling context.pop(), and then releasing the lock. fixed mistakes in both build_rgb_lookup() and render() where I had accidently switched the green and blue photons. updated the lbne geometry with the latest specifications. added profiles for the sno pmt and concentrator.
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tracer and photon simulation can be run in the same context. added the ability to add alpha channel to triangle color so that triangles can be made transparent. added __noinline__ modifier to certain device functions to speed up kernel compilation.
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you to copy photon information within a thread but still keep a single random number generator throughout the thread.
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of each triangle. reduced the number of runs to average when propagating photons from each pixel in render.py from 5 to 1; the speed improvement outweighs any small improvement in the quality of the rendered image.
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a boundary
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src/photon.h so that photon propagation by propagate() in kernel.cu and the hybrid monte carlo ray tracing use the same code. instead of a single state, photons now carry the history of the processes they've undergone. this history is stored as a bitmask; see src/photon.h. start_node and first_node of the mesh are now stored as global variables in mesh.h instead of being passed to kernel functions.
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on a profile of the PMT model (see build_pmt() in solids/pmts.py). triangle intersection now allows one of the two coefficients multiplying the vectors which span the triangle to float slightly negative (up to -EPSILON; EPSILON is defined in src/intersect.h) in order to eliminate rays passing through the line between two triangles. cleaned up a lot of unused code. pulled duplicate code in view() and render() into functions in view.py. in order to allow view.py and render.py to search pre-defined geometries, solids, meshes, etc. without requiring them to be pre-built, pre-defined geometries, solids, meshes, etc. should be returned by a function tagged by the decorator @buildable(identifier) defined in view.py, where identifier is a string used to identify the object as an argument to either view.py or render.py. optical materials and surfaces are now defined in optics.py. added an image directory to save cool screenshots.
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used. GPUThread objects now shallow copy the geometry so that threads are not writing to the same memory when the geometry is loaded onto the gpu. the model number for the 12" Hamamatsu PMT is R11708, not r7081 (which is the model for the 10" PMT); all references to the 12" PMT were changed accordingly. only allocate space for 20 materials and 20 surfaces on the gpu instead of 100 to save some space. started to modify track.py to build its own photons and module since the GPUThread object only copies photon hit times back from the gpu (not track information), but I am waiting to find out if pycuda GPUArrays can be used with vector types.
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with only one child.
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improvement.
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it is too slow. Now we do it directly.
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