plot-dt / plot-dts

These tools allow for easy visualization of DT chamber plots with detailed information at the drift cell level using the Patches module from mpldts.patches.dt_patch. Let’s illustrate this with a specific example.

Suppose you have access to digi information from your input data. So, by specifying its reconstruction in the configuration file, you will be able to access this information through statements like event[i].digis[j].property, where property could be time, BX, etc. To visualize the digi patterns in a DT chamber, you can configure the following in your configuration file:

dt_plots_configs:
    mplhep-style: 'CMS'         # Style to use for the plots

    figure-configs:
        # Any valid matplotlib figure rc parameters can be used here

    dt_plots_configs:
        dt-cell-info:
            particle_type: 'digis'      # Particle type to use
            cmap_var: 'time'            # Variable to use for the colormap

        cmap-configs:
            cmap: 'viridis'             # Colormap to use
            cmap_under: 'none'          # Color for values under vmin
            norm:
                class: 'matplotlib.colors.Normalize'  # Normalization class
                vmin: 299                             # Minimum value for normalization
                vmax: 1000                            # Maximum value for normalization

        # DT bounds and cells are matplotlib.patches.Rectangle objects, so other rc parameters can be used
        bounds-kwargs:
            facecolor: ["lightgray", "lightyellow", "lightpink", "lightblue"]   # Color of the rectangle [MB, SL1, SL3, SL2]
            edgecolor: "k"                                                      # Color of the edge
            alpha: 0.3                                                          # Transparency of the rectangle
            linewidth: 0.5                                                      # Width of the edge
            # ...

        cells-kwargs:
            edgecolor: "k"              # Color of the edge
            linewidth: 0.025              # Width of the edge
            #...

And then, by running the command:

dtpr plot-dt -i [INPATH] -o [OUTPATH] -cf [CONFIG_FILE] -evn 0 --wheel 2 --sector 1 --station 1

You will produce a plot similar to the one below:

Alternatively, you can run:

dtpr plot-dts -i [INPATH] -o [OUTPATH] -cf [CONFIG_FILE] -evn 0

And you will generate a plot like the one below:

You can use any “particle” (DIGI, SimHit, etc.) which can be represented in a DT cell, and also use any of its numerical variables, and customize the color map options. Ensure that information about sl, l, and w is present (sl: DT SuperLayer, l: DT Layer, w: DT cell or wire).

You can always use the methods directly from the modules dtpr.analysis.plot_dt_chamber and dtpr.analysis.plot_dt_chambers.

plot_dt_chamber

plot_dt_chambers