Document Type : Original Article
Authors
1 School of Particles and Accelerators, Institute for Research in Fundamental Sciences (IPM)
2 Electrical Engineering and Computer Science Department, The University of Texas at Dallas, Richardson, TX, USA
3 Head of Education IPM
Abstract
The Raspberry Pi is renowned for its compact design and essential features, coupled with a free Linux operating system, making it an ideal platform for a myriad of scientific and research endeavors. Particularly noteworthy are the official CMOS cameras tailored for Raspberry Pi, offering unique capabilities tailored for image data analysis purposes. The Raspberry Pi's Linux operating system (Raspbian) boasts crucial attributes like binary image output and adjustable shutter speed, rendering it highly conducive for scientific inquiries exploring the impact of particles and rays on CMOS sensors. Indeed, it serves as a valuable tool for conducting X-ray studies. Leveraging Python on Raspberry Pi enables the execution of camera operations, facilitating the generation of RAW image files that capture the effects of X-rays. By capturing RAW images with a shutter speed set to three seconds and conducting subsequent analysis on the RAW image files, one can derive insightful data, including the spot count diagram, the average area of spots diagram, and the average numerical value stored in spots diagram. Through this experimental approach, the distinctive effects of varying energy and intensity levels can be effectively discerned and elucidated.
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