Abstract
Abstract
Radon and its decay products emit internal radiation in the
respiratory system upon inhalation, which is a significant
contributor to the development of lung cancer in humans. Accurate
measurement of radon concentration is undoubtedly very
important. Among the commonly used radon measurement methods, the
electrostatic collection method stands out. This method involves
counting the energy spectrum peaks of alpha particles, generated by
the decay of radon daughters Po-218 and Po-214, which are collected
on the surface of a semiconductor detector to determine radon
concentration. According to experimental findings, measurements at
different ambient temperatures cause Po-218 and Po-214 to peak
drift. This drift adversely affects the accuracy of radon
measurement using traditional methods. This study focuses on the
characteristics of α-energy spectra from Po-218 and
Po-214. It calculates the peak heights for all α-energy
spectra and identifies the two peaks with the highest
heights. Subsequently, an algorithm is developed to automatically
track the peak positions of Po-218 and Po-214, accurately locating
their counting intervals. The results demonstrate that the algorithm
successfully achieves the desired outcomes through experiments
conducted at different temperatures and measurement durations, thus
validating its effectiveness. This method holds significant
practical value in ensuring the accuracy of radon measurement.