sddm/utils/plot, branch master Code for the self-destructing dark matter search in SNO update utils/ folder to make a python package called sddm 2020-05-11T15:30:39+00:00 tlatorre tlatorre@uchicago.edu 2020-05-11T15:30:39+00:00 15fc972c89a4366a06755daeedaac52f91762ecd This commit adds an sddm python package to the utils/ folder. This allows me to consolidate code used across all the various scripts. This package is now installed by default to /home/tlatorre/local/lib/python2.7/site-packages so you should add the following to your .bashrc file: export PYTHONPATH=$HOME/local/lib/python2.7/site-packages/:$PYTHONPATH before using the scripts installed to ~/local/bin. 
This commit adds an sddm python package to the utils/ folder. This allows me to
consolidate code used across all the various scripts. This package is now
installed by default to /home/tlatorre/local/lib/python2.7/site-packages so you
should add the following to your .bashrc file:

    export PYTHONPATH=$HOME/local/lib/python2.7/site-packages/:$PYTHONPATH

before using the scripts installed to ~/local/bin.
update plot script to be able to handle files with multi-particle fits 2020-04-13T20:50:01+00:00 tlatorre tlatorre@uchicago.edu 2020-04-13T20:50:01+00:00 33e9b624ef7eed425dd8c240dbba458791d9cdd7 






update plot script now that we have multiple fits per particle combo
2020-04-13T18:30:38+00:00

tlatorre
tlatorre@uchicago.edu

2020-04-13T18:30:38+00:00

27020846248d820d78ac2add2cb1098ea83de65d












fix a couple of bugs in plot-energy
2019-07-12T15:28:31+00:00

tlatorre
tlatorre@uchicago.edu

2019-07-12T15:28:31+00:00

3c3720143201915729759478c7e7e36c71ac3bbd

This commit fixes two small bugs in the plotting scripts. First, after the HDF5
commit I wasn't correctly computing the particle ID string which I had been
using before which was needed in order to plot things correctly. Second, I
realized that the dataframe groupby function first() actually selects the first
non-null column from each group! What I really wanted was the first row from
each group, so all instances of .first() were updated to .nth(0).

See https://stackoverflow.com/questions/20067636/pandas-dataframe-get-first-row-of-each-group.





This commit fixes two small bugs in the plotting scripts. First, after the HDF5
commit I wasn't correctly computing the particle ID string which I had been
using before which was needed in order to plot things correctly. Second, I
realized that the dataframe groupby function first() actually selects the first
non-null column from each group! What I really wanted was the first row from
each group, so all instances of .first() were updated to .nth(0).

See https://stackoverflow.com/questions/20067636/pandas-dataframe-get-first-row-of-each-group.







switch from YAML output to HDF5 to speed things up
2019-07-11T14:42:23+00:00

tlatorre
tlatorre@uchicago.edu

2019-07-11T14:42:23+00:00

21491ca1ca2afd6951e9b5b1e74b1c919c602b36












add a data cleaning cut to tag incoming muons
2019-06-13T16:08:04+00:00

tlatorre
tlatorre@uchicago.edu

2019-06-13T16:08:04+00:00

f8c99fdd302b6d2190ae619681fb1cea5f74f391

This commit adds a data cleaning cut to tag incoming muons by looking for early
OWL hits. It also significantly updates the flasher cut to catch more flashers.
In particular, the flasher cut now does the following:

- loops over *all* paddle cards with at least 4 hits instead of just the paddle
  cards with the most hits
- uses QLX to look for charge outliers in the paddle card
- fixes a few bugs (for example, uninitialized values in the charge array)
- adds a check to to see if the given slot is early with respect to all PMTs
  within 4 meters to catch the case where the flashing channel is missing from
  the event





This commit adds a data cleaning cut to tag incoming muons by looking for early
OWL hits. It also significantly updates the flasher cut to catch more flashers.
In particular, the flasher cut now does the following:

- loops over *all* paddle cards with at least 4 hits instead of just the paddle
  cards with the most hits
- uses QLX to look for charge outliers in the paddle card
- fixes a few bugs (for example, uninitialized values in the charge array)
- adds a check to to see if the given slot is early with respect to all PMTs
  within 4 meters to catch the case where the flashing channel is missing from
  the event







update plotting scripts to handle case when there is no fit
2019-03-26T15:39:47+00:00

tlatorre
tlatorre@uchicago.edu

2019-03-26T15:39:47+00:00

219a9023ff789aa735b9a95c78e942e256a0424a












add GPLv3 license
2019-03-16T18:22:06+00:00

tlatorre
tlatorre@uchicago.edu

2019-03-16T18:22:06+00:00

77f0c00c2f9b446807ca14f323f301263bf01b45












update zebra library to be able to use links
2019-01-15T07:08:54+00:00

tlatorre
tlatorre@uchicago.edu

2019-01-15T07:08:54+00:00

9c910abe7a0359018677a874822d8742d0e616b9

This commit updates the zebra library files zebra.{c,h} so that it's now
possible to traverse the data structure using links! This was originally
motivated by wanting to figure out which MC particles were generated from the
MCGN bank (from which it's only possible to access the tracks and vertices
using structural links).

I've also added a new test to test-zebra which checks the consistency of all of
the next/up/orig, structural, and reference links in a zebra file.





This commit updates the zebra library files zebra.{c,h} so that it's now
possible to traverse the data structure using links! This was originally
motivated by wanting to figure out which MC particles were generated from the
MCGN bank (from which it's only possible to access the tracks and vertices
using structural links).

I've also added a new test to test-zebra which checks the consistency of all of
the next/up/orig, structural, and reference links in a zebra file.







update plot
2018-12-03T16:31:37+00:00

tlatorre
tlatorre@uchicago.edu

2018-12-03T16:31:37+00:00

203c9b8b8963da0135675515fffed2bd0913f81b