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Quenching Curves: Solutions by Second-Order Polynomial Regression

Veterans Administration Hospital and the University of Louisville, School of Medicine, Louisville, Kentucky

Correspondence: For reprints contact: Ellis Samols, Nuclear Medicine Service, V.A. Hospital, Louisville, KY 40202.

ABSTRACT

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.