An analytical approach for treating background in spectral analysis measurements

Miller, Ian; Holmes, Thomas W.; Gardner, R.P.

doi:10.1016/j.radphyschem.2015.01.018

Cited by 2 publications

(1 citation statement)

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“…The spectra generated were analysed using the code CEARLLS [13], [20], which is developed by The Center for Engineering Applications of Radioisotopes (CEAR), for MCLLS analysis. The elemental spectra were divided into two library spectra, one for the sum of the spectra coming from scatters of hydrogen, carbon, and oxygen (HCO), and one from prompt gamma-rays coming from other processes (OP), including events with pile-up of several PG's interacting in the detector simultaneously.…”

Section: Analysis Of the Generated Prompt Gamma-ray Spectramentioning

confidence: 99%

Prompt gamma-ray spectroscopy in conjunction with the Monte Carlo Library Least Squares approach: Applications to range verification in proton therapy

Skjerdal,

Kögler,

Lionheart

et al. 2023

EPJ Web Conf.

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Prompt Gamma-ray Spectroscopy (PGS) in conjunction with the Monte Carlo Library Least Squares (MCLLS) approach was investigated for the purposes of range monitoring in proton therapy through Monte Carlo simulations. Prompt gamma-rays are produced during treatment and can be correlated to the range of the proton beam in the tissue. In contrast to established approaches, MCLLS does not rely on the identification of specific photopeaks. Instead it treats each individual constituent as a library spectrum and calculates coefficients for each spectrum, and therefore takes both the photopeaks and the Compton continuum into account. It can thus be applied to organic scintillators traditionally not used for energy spectroscopy due to their low Z number and density. Preliminary results demonstrate that the proposed approach returns a strong linear correlation between the range of the primary proton beam and the calculated library coefficients, depending on the composition of libraries. This can be exploited for range monitoring.

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Section: Analysis Of the Generated Prompt Gamma-ray Spectramentioning

confidence: 99%