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#!/usr/bin/env python
import time
import os
import numpy as np
from chroma import generator
from chroma import gpu
from chroma import event
from chroma import itertoolset
def pick_seed():
"""Returns a seed for a random number generator selected using
a mixture of the current time and the current process ID."""
return int(time.time()) ^ (os.getpid() << 16)
class Simulation(object):
def __init__(self, detector, seed=None, cuda_device=None,
geant4_processes=4, nthreads_per_block=64, max_blocks=1024):
self.detector = detector
self.nthreads_per_block = nthreads_per_block
self.max_blocks = max_blocks
if seed is None:
self.seed = pick_seed()
else:
self.seed = seed
# We have three generators to seed: numpy.random, GEANT4, and CURAND.
# The latter two are done below.
np.random.seed(self.seed)
if geant4_processes > 0:
self.photon_generator = generator.photon.G4ParallelGenerator(geant4_processes, detector.detector_material, base_seed=self.seed)
else:
self.photon_generator = None
self.context = gpu.create_cuda_context(cuda_device)
if not hasattr(detector, 'mesh'):
# need to build geometry
detector.build()
self.gpu_geometry = gpu.GPUGeometry(detector)
self.gpu_daq = gpu.GPUDaq(self.gpu_geometry, max(self.detector.pmtids))
self.gpu_pdf = gpu.GPUPDF()
self.rng_states = gpu.get_rng_states(self.nthreads_per_block*self.max_blocks, seed=self.seed)
self.pdf_config = None
def simulate(self, iterable, keep_photons_beg=False,
keep_photons_end=False, run_daq=True, max_steps=10):
try:
first_element, iterable = itertoolset.peek(iterable)
except TypeError:
first_element, iterable = iterable, [iterable]
if isinstance(first_element, event.Event):
iterable = self.photon_generator.generate_events(iterable)
elif isinstance(first_element, event.Photons):
iterable = (event.Event(photons_beg=x) for x in iterable)
elif isinstance(first_element, event.Vertex):
iterable = (event.Event(primary_vertex=vertex, vertices=[vertex]) for vertex in iterable)
iterable = self.photon_generator.generate_events(iterable)
for ev in iterable:
gpu_photons = gpu.GPUPhotons(ev.photons_beg)
gpu_photons.propagate(self.gpu_geometry, self.rng_states,
nthreads_per_block=self.nthreads_per_block,
max_blocks=self.max_blocks,
max_steps=max_steps)
ev.nphotons = len(ev.photons_beg.pos)
if not keep_photons_beg:
ev.photons_beg = None
if keep_photons_end:
ev.photons_end = gpu_photons.get()
if run_daq:
gpu_channels = self.gpu_daq.acquire(gpu_photons, self.rng_states, nthreads_per_block=self.nthreads_per_block, max_blocks=self.max_blocks)
ev.channels = gpu_channels.get()
yield ev
def create_pdf(self, iterable, tbins, trange, qbins, qrange, nreps=1):
"""Returns tuple: 1D array of channel hit counts, 3D array of
(channel, time, charge) pdfs."""
first_element, iterable = itertoolset.peek(iterable)
if isinstance(first_element, event.Event):
iterable = self.photon_generator.generate_events(iterable)
pdf_config = (tbins, trange, qbins, qrange)
if pdf_config != self.pdf_config:
self.pdf_config = pdf_config
self.gpu_pdf.setup_pdf(max(self.detector.pmtids), tbins, trange,
qbins, qrange)
else:
self.gpu_pdf.clear_pdf()
if nreps > 1:
iterable = itertoolset.repeating_iterator(iterable, nreps)
for ev in iterable:
gpu_photons = gpu.GPUPhotons(ev.photons_beg)
gpu_photons.propagate(self.gpu_geometry, self.rng_states,
nthreads_per_block=self.nthreads_per_block,
max_blocks=self.max_blocks)
gpu_channels = self.gpu_daq.acquire(gpu_photons, self.rng_states, nthreads_per_block=self.nthreads_per_block, max_blocks=self.max_blocks)
self.gpu_pdf.add_hits_to_pdf(gpu_channels)
return self.gpu_pdf.get_pdfs()
def eval_pdf(self, event_channels, iterable, min_twidth, trange, min_qwidth, qrange, min_bin_content=20, nreps=1, ndaq=1, time_only=True):
"""Returns tuple: 1D array of channel hit counts, 1D array of PDF
probability densities."""
self.gpu_pdf.setup_pdf_eval(event_channels.hit,
event_channels.t,
event_channels.q,
min_twidth,
trange,
min_qwidth,
qrange,
min_bin_content=min_bin_content,
time_only=True)
first_element, iterable = itertoolset.peek(iterable)
if isinstance(first_element, event.Event):
iterable = self.photon_generator.generate_events(iterable)
for ev in iterable:
gpu_photons = gpu.GPUPhotons(ev.photons_beg, ncopies=nreps)
gpu_photons.propagate(self.gpu_geometry, self.rng_states,
nthreads_per_block=self.nthreads_per_block,
max_blocks=self.max_blocks)
for gpu_photon_slice in gpu_photons.iterate_copies():
for idaq in xrange(ndaq):
gpu_channels = self.gpu_daq.acquire(gpu_photon_slice, self.rng_states, nthreads_per_block=self.nthreads_per_block, max_blocks=self.max_blocks)
self.gpu_pdf.accumulate_pdf_eval(gpu_channels)
return self.gpu_pdf.get_pdf_eval()
def __del__(self):
self.context.pop()
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