mass infinity sketch

A_list_of_tasks.md

What tasks should mass_infinity accomplish?

• Take raw data records of fixed length and noise. Return basis for analyzing that data, and future data.
  • Requires cuts to select down to clean pulses from which to make the basis. This suggests a sort of self consistent cut procedure. Luckily Alpert et all describe such a procedure https://link.springer.com/article/10.1007/s10909-015-1402-y
• Take raw data records. Return subspace representation + residual std deviation.
• Take subspace representation and spectral information. Return rough calibration. J?
• Take J and ??. Return various corrected Js.
  • Baseline-J Correlation Correction
  • Subsample arrival time Correction
  • Time Drift Correction
  • any combination thereof (to evaluate if correction improves energy resolution)
• Take Corrected J and return best Calibation.
• Take PulseHeightEstimators and Sepctral Information. Return Energy Resolution achieved.
  • Often redundant with best Calibration work.
• Take Basis (with embedded noise info?) and Calibration. Return predicted energy resolution.
• Write pulse in subspace representation + residual + timestamp to disk.
• Write Recipe output+timestamp to disk.

What quality of life features should it include?

• Handle failed pixels.
  • Continue with analysis of good pixels.
  • Allow inspection of failed pixels easily.

Possible Terms

• Pulse: the raw microcalorimter data representing currentt vs time in the time domain
• Noise: event free raw microcalorimter data used to learn about noise properties of microcalorimeter data
• Basis: A set of N+1 orthogonal vectors defining the subspace in which we will represent a pulse
• psrr: A pulse in the subspace represtation, with residual value, a Vector of length N+1

mass_infinity_sketch.ipynb