Reproducing the 2019 joint analysis » History » Version 16
- Table of contents
- Reproducing the 2019 joint analysis
- Concat definitions
- Making new predictions
- Cosmic predictions
- Performing the joint fit
- Making supporting plots
- Making the official release files (UNDER CONSTRUCTION)
- Additional material/notes
Reproducing the 2019 joint analysis¶
The 2019 analysis is a “top-up” analysis: all elements from the 2018 analysis (cuts, analysis techniques, CV tunes, systematics, etc.) are identical. Only FD RHC data were added (epoch7d and epoch8b).
FHC: period1 period2 period3 period5 RHC: period4 period6 epoch7a epoch7b epoch7c epoch7d epoch8b
The event containing the executive summary and tech notes is https://nova-docdb.fnal.gov/cgi-bin/private/DisplayMeeting?conferenceid=10551
Setup the release and check out
setup_nova -b maxopt -r R19-04-17-2019ana.a newrel -t R19-04-17-2019ana.a rel_2019ana cd rel_2019ana/ srt_setup -a addpkg_svn -b CAFAna R19-04-17-2019ana-br
More about releases and release branches.
New data only¶
Full datasets, including new data¶
There is no new FHC data - FHC concats should be identical to 2018 FHC concats.
prod4_sumdecaf_fd_numi_rhc_full_goodruns_nue2019 prod4_sumdecaf_fd_numi_rhc_full_goodruns_numu2019 prod4_sumdecaf_fd_numi_fhc_full_goodruns_nue2019 prod4_sumdecaf_fd_numi_fhc_full_goodruns_numu2019
prod4_sumrestricteddecaf_fd_numi_rhc_full_goodruns_nue2019 prod4_sumrestricteddecaf_fd_numi_rhc_full_goodruns_numu2019 prod4_sumrestricteddecaf_fd_numi_fhc_full_goodruns_nue2019 prod4_sumrestricteddecaf_fd_numi_fhc_full_goodruns_numu2019
Full RHC datasets from 2018¶
These concats do not include the new data from epochs 7d and 8b - they should be identical to the 2018 RHC concats. There are no blinded definitions.
Making new predictions¶
The framework for generating analysis predictions with the systematic shifts is undergoing a bit of an overhaul, but its usable in many cases already. The current workflow is based on the code committed in
The main interface is through a python wrapper script
submit_syst.py which parses various input options such as the analysis, beam configuration, list of systematics etc. For more info on the options :
submit_syst.py -h usage: submit_syst.py [-h] -a ANALYSIS -b BEAM [-c] [-nt] [-fk] [-sg SYST_GROUP [SYST_GROUP ...]] [-all] [-xp EXTRAPS [EXTRAPS ...]] [-all_xp] [-g [GRID]] [-i [INTERACTIVE]] Submit jobs for generating analysis predictions optional arguments: -h, --help show this help message and exit -a ANALYSIS, --analysis ANALYSIS Specify analysis, numu2018/nue2018/nus2018 -b BEAM, --beam BEAM Specify beam mode, FHC/RHC -c, --concat Specify whether to use concats -nt, --notau Do not use tau swap files -fk, --fake_data Use fake data at ND -sg SYST_GROUP [SYST_GROUP ...], --syst_group SYST_GROUP [SYST_GROUP ...] Specify syst groups to generate -all, --all_systs Generate predictions for all syst groups -xp EXTRAPS [EXTRAPS ...], --extraps EXTRAPS [EXTRAPS ...] Specify extrapolations to carry out -all_xp, --all_extraps Generate predictions for all extrapolations -g [GRID], --grid [GRID] Run this on the grid with submit_cafana.py options -i [INTERACTIVE], --interactive [INTERACTIVE] Run this interactively with cafe options
For example, one can generate predictions interactively over a single concat file, for the LightLevelUp systematic in FHC mode for the nue2018 analysis by simply running :
submit_syst.py -a "nue2018" -b "FHC" -c -sg 'LightUp' -all_xp -i='-bq -l1 -ss'
The python wrapper picks up the relevant analysis components from
syst_header.h in the same folder and writes a
make_predictions_systs.C on the fly based on a template macro. This is similar in behaviour to
Right now, it only supports interactive running but the grid option will be implemented soon.
If you want to generate systematically shifted predictions on the grid right now, you can use the old framework in
CAFAna/shared/Ana2019 that contains a static copy of
make_predictions_systs.C whose behaviour you control by passing text string options to the macro. For example, generate the same predictions as we did, using
submit_syst.py above, you would run:
cafe -bq -l 1 -ss make_predictions_systs.C FHCLightLevelUp_nueconcat_realNDData allxp_nue
To run this on the grid you would then just pass it to
submit_cafana.py. You can find a more detailed example of how to run this in the accompanying PDF for the tutorial (docdb-35464).
If you are generating systematically shifted predictions on the grid, you should end up with a number of files per systematics group for which you generate predictions. You should have the same number of files as jobs submitted multiplied by the number of extrapolations you ran (since each decomp/extrap option generates a separate prediction root file). We have a useful build script to ensure you combine job output root files and root files for different decomp/extrap options in the correct order. The eventual goal is for
submit_syst.py to autogenerate an accompanying build script to merge all the prediction files it outputs. But until this mechanism works correctly you can use
CAFAna/shared/syst_framework, and just edit the
directory string at the top of the script. Running the script is then as simple as:
All merged files are output to a
merged_predictionsdirectory. To clean or rebuild the files in
./build_test.py rebuild. Again you can find a more detailed explanation of this tool in (docdb-35464).
For the top-up, only the NuMI RHC cosmics were updated, as described below.
- Numu: reused the 2018 FHC and RHC cosmic trigger histograms, and the 2018 FHC NuMI timing sideband histogram.
A new RHC NuMI timing sideband spectrum was generated, thus updating the normalization but not the shape of the expected background.
Two files in:
- Nue: reused the 2018 FHC NuMI timing sideband spectrum.
A new RCH NuMI timing sideband spectrum was generated, thus updating both the normalization and shape of the expected background.
One file in
Performing the joint fit¶
Making supporting plots¶
Making the official release files (UNDER CONSTRUCTION)¶
The same code that makes slice and contour plots generates the official release files. This is the safer choice! Just set
bool makedatarelease = true;
The output directory is currently set to
/.in the macro.
joint_fit_2019_datarelease_tools.hif you need to change file names or other conventions.
Run the contours:
cafe -bq joint_fit_2019_contours.C false true false joint_realData_both false false true cafe -bq joint_fit_2019_contours.C false true false joint_realData_both true false true
The outputs are
To check the file contents, open the root file, draw the axes, set draw option "same", draw the graphs, right click - DrawClone for the best fit markers.
Root files are copied to
/nova/ana/TODO, and the tarball is published in docdb LINK.
Editing systematics code¶
- Systematics are implemented using classes derived from ISyst (source:/trunk/CAFAna/Core/ISyst.h).
- Current available systematics are implemented in classes in source:/trunk/CAFAna/Systs
Rudimentary examples with more explanation can be found in the tutorial macro source:/trunk/CAFAna/tute/demoSysts.C
Videos from the 2019-Analysis workshop:¶
- Liudmila Kolupaeva's tutorial on how to do the joint fit: (see file zoom_0.mp4 below)
- Andrew Sutton's tutorial on how to do the joint fit: (see file zoom_1.mp4 below)