Tezin Türü: Yüksek Lisans
Tezin Yürütüldüğü Kurum: Ankara Üniversitesi, Nükleer Bilimler Enstitüsü, Medikal Fizik Bölümü, Türkiye
Tezin Onay Tarihi: 2025
Tezin Dili: İngilizce
Öğrenci: EGE CAN KARANFİL
Asıl Danışman (Eş Danışmanlı Tezler İçin): Bahadır Saygı
Eş Danışman: Haluk Yücel
Özet:
Today, Radiation Portal Monitors (RPMs) are widely
deployed at transit points such as airports and border crossings to facilitate
trade and ensure security during major public events like those held in stadiums, metro stations, and other high-traffic areas. However, most conventional RPMs in use today are only capable of
measuring count rates (cps). When
real-time radiation levels exceed a preset threshold, an alarm is triggered, initiating a time-consuming secondary
inspection process that can disrupt operational flow.
In recent years, Spectroscopic Radiation Portal Monitors
(SRPMs) have been developed to im- prove isotope identification accuracy and enhance
the detection of Naturally Occurring
Radioac- tive Materials (NORM)
during the primary
inspections. The primary advantage of SRPMs is their
ability to acquire gamma-ray spectra in addition to count rate data, allowing real-time isotope iden- tification. In this study, a detector was developed to
be integrated into standard RPMs, enabling them to collect spectral data and
perform real-time isotope identification similar to SRPMs. The detector system developed in this
thesis comprises a low-resolution CsI(Tl) scintillator coupled with a Silicon
Photomultiplier (SiPM), resulting in a compact and cost-effective design. Ad- ditionally, a custom-designed
microcontroller based 10-bit multi-channel analyzer (MCA) was developed for
spectral data acquisition.
The isotope identification capability of the compact CsI(Tl) detector was tested using several point sources,
uranium-thorium ore samples,
and a certified reference material
(ECNRM-171). Spectral data were automatically analyzed
using a second-derivative method for photopeak detection, fol- lowed by determining extraction features via a Bayesian
approach. A Python-based Graphical User Interface (GUI) was developed, for this data acquisition
and analysis procedure. This software
continuously communicates with the standard
RPM using the MODBUS-RTU protocol
and in the event of an alarm, the software automatically triggers
spectral acquisition and real-time isotope identification.