Quenching curves: solutions by second-order polynomial regression.
This paper describes an inexpensive practical approach for the automated computation of quench corrections in beta-scintillation experiments, using a table-top calculator. This approach applies a second-order fit, ax2 + bx + c = y, where x is the channel A/B ratio for known quench standards and y describes efficiency. There is excellent agreement between measured values and the polynomial expression for most experimental A/B ratios.
D001330:Electronic Data Processing / Q000379:methods*; D012588:Scintillation Counting