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Application Notes

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D.-L.Pohl edited this page Apr 14, 2015 · 16 revisions

Application notes

Special features and applications using pyBAR are listed here. The corresponding code is in the [example folder](https://github.com/SiLab-Bonn/pyBAR/tree/development/examples).

Charge reconstruction: Threshold-Method
t.b.d

Charge reconstruction: TDC-Method
t.b.d

Primlist: Measure Signal-to-Noise for the TOT-Signal using the TDC-Method
Content:

  • Shows how to use write a prim list
  • Chip parameters are changed within a loop
  • Results are analyzed and plotted within the same script

A prim list ([prim_list_tdc_sn.py](https://github.com/SiLab-Bonn/pyBAR/wiki/) is used to change the parameters that change the signal-to-noise of the TOT-Signal: discriminator bias, feedback current and threshold (DisVbn, PrmpVbpf, Vthin_AF). One can see that low threshold / low feedback / high discriminator bias tunings give a better S/N.

 

 

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