Determining the relation between the count number and x-ray energy level in pyroelectric materials using linear regression analysis

Abstract

X-rays are a type of electromagnetic energy which widely used in different areas. Since their discovery, x-rays have been used, especially for medical imaging applications. On the other hand, new efficient x-ray generation methods have still been under investigation. Although new imaging modalities arose, xrays have never lost their popularity in many applications like computed tomography and dental imaging. Among these new methods, x-ray generation using pyroelectric crystal materials is one of the promising technologies. Pyroelectric crystals generate an electric field when a temperature change occurs and are affected by various parameters like how many times (count) the crystal’s temperature changed in a second. Hence, this new technology needs more research. In this study, we investigated the relationship between the count number and x-rays’ energy level of pyroelectric materials using linear regression analysis. We used a commercial software package, which is called the Statistical Package for the Social Sciences (SPSS), for this purpose. As a result, we achieved a good fit value of R2 = 0.91.