SEPARATING THE ANOMALOUS ZONES OF GAMMA-RAY SPECTROMETRIC DATA USING THE MEDIAN TO FIT THE MATHEMATICAL SURFACE ON EL-MISSIKKAT EL-GIDAMI AREA, CENTRAL EASTERN DESERT, EGYPT | ||||
| Nuclear Sciences Scientific Journal | ||||
| Article 9, Volume 8, Issue 1, 2019, Page 173-179 PDF (837.95 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/nssj.2019.30139 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Ahmed I. Kamel | ||||
| Nuclear Materials Authority,Cairo, Egypt | ||||
| Abstract | ||||
| Traditionally, the least-squares method is applied to separate the highly radioactive zones of gamma-ray spectrometric maps in order to find the normal radioactive background of the host rocks. In the present study, the regional background of gamma-ray spectrometric data was calculated by using the median instead of least-squares method which is based on the mean. The obtained least-squares do not properly fit due to the strong effect of the few outlier data points that are extremely high or low. The median is less affected by outliers and skewed data. If we reject these anomalous zones data, the proper fitting takes place. This study deals with using the median as a more suitable measure of central tendency for data classified on an ordinal scale. The mean is not suitable when the data include exceptionally high or low values because these have great influence on the outcome. The median was applied to the gamma-ray spectrometric (Total Count) survey data of El-Missikkat-Gidami area to separate the radioactive anomalous zones from the normal radiation of the host rocks. | ||||
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