A comparison of the performance and energy resolution of CdTe and Si detectors in the X-ray Fluorescence studies of metal samples and Alloys
Keywords:
X-ray fluorescence, Cadmium Telluride detector, Silicon detector, Energy resolution, energy efficiencyAbstract
X-ray fluorescence provides a powerful means of non-destructively determining the elemental composition of a sample. X-rays from a Molybdenum (Mo) source was fired on copper, molybdenum, lead, steel and brass samples to determine their composition and relative abundance of their constituent elements. Two different detectors: the Cadmium Telluride (CdTe) and Silicon(Si) detectors were used to pick up the signals from the scattering of the X-rays at the sample surfaces and their energy resolutions as well as efficiencies were compared. With a non-noisy amplifier, the Si detector had a higher resolution (0.27 % ) when compared to the 0.38 % for the CdTe detector but it had a lower efficiency when compared to that of the CdTe detector. It was also discovered that higher energies produced lower detector efficiencies.
Published
How to Cite
Issue
Section
Copyright (c) 2022 Iniobong P. Etim, Rebecca Emmanuel Mfon

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Similar Articles
- G. Kamarajan, D. Benny Anburaj, V. Porkalai, A. Muthuvel, G. Nedunchezhian, Effect of temperature on optical, structural, morphological and antibacterial properties of biosynthesized ZnO nanoparticles , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 3, August 2022
- J. A. Akinpelu, K. P. Ojo, S. O. Salawu, G. O. Olutona, F. O. Aweda, O. O. Jegede, Concentrations of heavy metal content in indoor dust and potential exposure in preschool children , Journal of the Nigerian Society of Physical Sciences: Volume 8, Issue 1, February 2026
- S. I. Ele, U. R. Alo, H. F. Nweke, A. H. Okemiri, E. O. Uche-Nwachi, Deep convolutional neural network (DCNN)-based model for pneumonia detection using chest x-ray images , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 2, May 2025
- Benjamin Iyorzor, Michael Babalola, Half-metallic Characteristics of the Novel Half Heusler Alloys XCrSb (X=Ti, Zr, Hf ) , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 1, February 2022
- Kehinde Aladeniyi, Health risk evaluation of radon progeny exposure in Nigerian traditional mud houses , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 3, August 2024
- A. E. Ibor, D. O. Egete, A. O. Otiko, D. U. Ashishie, Detecting network intrusions in cyber-physical systems using deep autoencoder-based dimensionality reduction approach anddeep neural networks , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 3, August 2025
- M. Basim, N. Senu, A. Ahmadian, Z. B. Ibrahim, S. Salahshour, Solving fractional variable-order differential equations of the non-singular derivative using Jacobi operational matrix , Journal of the Nigerian Society of Physical Sciences: Volume 5, Issue 2, May 2023
- Ezra Abba, Zaccheus Shehu, Wilson Lamayi Danbature, Kennedy Poloma Yoriyo, Rifkatu Dogara Kambel , Charles Nsor Ayuk, A Novel developments of ZnO/SiO2 nanocomposite: a nanotechnological approach towards insect vector control , Journal of the Nigerian Society of Physical Sciences: Volume 3, Issue 3, August 2021
- Boikanyo Makubate, Marang Pearl Matsuokwane, Lesego Gabaitiri, Broderick O. Oluyede, Simbarashe Chamunorwa, The Type II Topp-Leone-G Power Series Distribution with Applications on Bladder Cancer , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 3, August 2022
- C. E. Duru, C. E. Enyoh, I. A. Duru, M. C. Enedoh, Degradation of PET Nanoplastic Oligomers at the Novel PHL7 Target:Insights from Molecular Docking and Machine Learning , Journal of the Nigerian Society of Physical Sciences: Volume 5, Issue 1, February 2023
You may also start an advanced similarity search for this article.

