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| author | Stan Seibert <stan@mtrr.org> | 2011-12-29 13:15:06 -0500 |
|---|---|---|
| committer | tlatorre <tlatorre@uchicago.edu> | 2021-05-09 08:42:38 -0700 |
| commit | 436e93b880748fde772b6951c55bfe19a0c5328a (patch) | |
| tree | 0e923f3a4596c33beb03b29a82c7caa586a25457 | |
| parent | f4f158554f1f8656dfd4d1eac78dd0a33025fd03 (diff) | |
| download | chroma-436e93b880748fde772b6951c55bfe19a0c5328a.tar.gz chroma-436e93b880748fde772b6951c55bfe19a0c5328a.tar.bz2 chroma-436e93b880748fde772b6951c55bfe19a0c5328a.zip | |
Reduce number of scattering passes by default in likelihood calculation
| -rw-r--r-- | chroma/sim.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/chroma/sim.py b/chroma/sim.py index 06771c7..c7b2026 100644 --- a/chroma/sim.py +++ b/chroma/sim.py @@ -128,7 +128,7 @@ class Simulation(object): return self.gpu_pdf.get_pdfs() @profile_if_possible - def eval_pdf(self, event_channels, iterable, min_twidth, trange, min_qwidth, qrange, min_bin_content=100, nreps=1, ndaq=1, nscatter=4, time_only=True): + def eval_pdf(self, event_channels, iterable, min_twidth, trange, min_qwidth, qrange, min_bin_content=100, nreps=1, ndaq=1, nscatter=1, time_only=True): """Returns tuple: 1D array of channel hit counts, 1D array of PDF probability densities.""" ndaq_per_rep = 64 |