Usage:
python make_plot_all.py --logx --cms_text Preliminary --goms 0.1,0.3,0.5,1.0 --logy
python make_plot_cms.py --logx --cms_text Preliminary --goms 0.1,0.3,0.5
More details:
- Data is stored in DijetData objects. These load the g_q vs. m_{Z'} files in data/[CADI]_[obs/exp].dat.
- The data can also be saved as sigma_{95} vs. m_{Z'}, where sigma_{95}=excluded cross section times branching ratio to qq. This is converted to g_q using the reference cross sections in data/reference/*dat according to g_q = g_q0 * sqrt(xs / xs0). This behavior is controlled by the header row, e.g. in data/EXO16057_SR1_obs.dat, # m_med xs8. The number is sqrt(s).
- Plots are created by the class GQSummaryPlot.
- The executables are make_plot_*.py. These contain all the plot styling options, which are passed as function arguments to GQSummaryPlot::add_data() and GQSummaryPlot::draw().
Command line arguments:
--analyses: Analyses to plot, corresponding to filenames in data/*.dat. The order of analyses corresponds to the legend order (remembe that TLegends with multiple columns fill in entries from left to right, then top to bottom).
--logx
--logy
--goms: Gamma/M values to draw as dashed lines.
--gom_fills: Draw filled areas corresponding to excluded range, including the range of validity due to Gamma/M getting too large.
--cms: Draw CMS label.
--cms_text [extra text]: Draw CMS label with extra text, e.g. CMS Preliminary