Tutorials (Jupyter notebooks)

Tutorials are currently available as Jupyter notebooks on GitHub.

Contents:

• Handling LH5 data
  • Reading data from disk
  • Writing data to disk
• Browsing waveforms with the WaveformBrowser
  • Basic browsing
  • Filtering waveforms
  • Visualizing waveform transforms
  • Comparing waveforms
  • Direct access of waveforms and other quantities
• Introduction to Digital Signal Processing
  • Set up the Python environment
  • Processor Setup
  • Plotting Processors via WaveformBrowser
  • Using build_dsp()
• Introduction to Pygama Math and Fitting
  • Set up the Python environment
  • We get access to scipy’s rv_continuous methods for free
  • Fast methods: .get_pdf and .get_cdf
  • The remaining methods are helpful for binned and unbinned fitting: norm_pdf, norm_cdf, pdf_ext and cdf_ext
  • Writing our own pygama.math distribution: conventions and requirements
  • Adding distributions with sum_dists
  • A little about sum_dists
  • something to note: all parameter arrays passed to sum_dist methods must be numpy arrays; for example, see that we must turn m.values into np.array(m.values) in order for it to work
  • The fracs flag in the sum_dists constructor
  • Conclusion