Thermoluminescence characteristics of calcite with a Gaussian process regression model of machine learning

Yükleniyor...
Küçük Resim

Tarih

2022

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Wiley

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Thermoluminescence (TL) is defined as a luminescence phenomenon that can be detected when an insulator or semiconductor is thermally stimulated. Defective crystals store radiation until they are stimulated. Thermoluminescence is a method of monitoring the absorbed dose of dosimeters. The irradiation crystal is heated to 500°C to display the absorbed dose as a luminescent light. The TL dosimetric properties of calcite obtained from nature were investigated in this study. Machine learning was also examined using Gaussian process regression (GPR) for stimulated TL characteristics. According to the experimental output, the TL glow curve had two main peaks located at 90°C and 240°C with good dosimetric properties. In the four regression models of GPR, the data for the heating rate of 3°C s-1 have the lowest residual.

Açıklama

Isik, Esme, Department of Optician, Malatya Turgut Özal University, Malatya, Turkey
Received: 22 February 2022. Revised: 20 April 2022. Accepted: 27 May 2022.
© 2022 John Wiley & Sons Ltd.
Correspondence, Esme Isik, Department of Optician, MalatyaTurgut Özal University, Malatya, Turkey.Email:esme.isik@ozal.edu.tr
Formerly known as:Journal of Bioluminescence and Chemiluminescence

Anahtar Kelimeler

Calcite, Gaussian process regression, Machine learning, Thermoluminescence

Kaynak

Luminescence

WoS Q Değeri

Q2

Scopus Q Değeri

Q2

Cilt

Sayı

Künye

Isik, E. Thermoluminescence Characteristic of Calcite with Gaussian Process Regression Model of Machine Learning. Luminescence. 1-7