diff options
| author | Stan Seibert <stan@mtrr.org> | 2011-10-13 14:41:43 -0400 |
|---|---|---|
| committer | tlatorre <tlatorre@uchicago.edu> | 2021-05-09 08:42:38 -0700 |
| commit | 5ef32be9b5a37ee2423452b72fe6a383c4c90316 (patch) | |
| tree | fd0a84ab1df017d16c33ac0765c049faceb82945 | |
| parent | 598c0145f8d5950c8572e8fd3f9df26188a8c7bb (diff) | |
| download | chroma-5ef32be9b5a37ee2423452b72fe6a383c4c90316.tar.gz chroma-5ef32be9b5a37ee2423452b72fe6a383c4c90316.tar.bz2 chroma-5ef32be9b5a37ee2423452b72fe6a383c4c90316.zip | |
Reduce the bin count requirement from 200 to 50.
| -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 72fdf3e..49bf142 100644 --- a/chroma/sim.py +++ b/chroma/sim.py @@ -122,7 +122,7 @@ class Simulation(object): return self.gpu_pdf.get_pdfs() - def eval_pdf(self, event_channels, iterable, min_twidth, trange, min_qwidth, qrange, min_bin_content=200, nreps=1, ndaq=1, time_only=True): + def eval_pdf(self, event_channels, iterable, min_twidth, trange, min_qwidth, qrange, min_bin_content=50, 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, |