Example Notebooks

rail_projects comes with several notebooks that demonstrate how to use it to analyze data in a number of different ways.

Here we describe the various notebooks and suggest other ways in which you might study the data.

Creating and using a RailProject

• Using RailProject
  • Setup and teardown scripts to setup a test area
  • Load the test project
  • Inspect the test project
  • Run a data reduction algorithm on the test project data
  • Subsample the test project
  • Build all the pipelines for the “baseline” flavor
  • Generate the commands to run the “pz” pipeline in the “baseline” flavor for the “gold” selection
  • Generate the commands to run the “spec_selection” pipeline in the “baseline” flavor for the “gold” selection

Making a new flavor in a RailProject

• Adding new flavors to a RailProject and using them
  • Import the usual suspects
  • Setup environment, and move to correct directory. This will also download the needed data files to run this example.
  • Build a very minimal project, with only the baseline flavor
  • Add a new flavor to the project
  • Make sure the flavor got added, and inspect it’s configuration.
  • Build the pipelines for the few flavor
  • Let’s see what the inputs for the new pz pipeline are
  • All set, run the pipeline

The rail project component library

• Using the rail.projects analysis component library
  • Setup and teardown scripts to setup a test area
  • Loading a library from a yaml file
  • Catalogs, Templates and Interpolats
  • Algorithm holders and algorithms
  • Named subsamples
  • Named selections

Making plots

• Making plots with the rail.plotting package
  • Setup and teardown scripts to setup a test area
  • import the plotting control and load the objects from the yaml file
  • Print the stuff that we have loaded
  • let’s have a look at the “PlotGroup” that we have loaded.