Caracterização e teste de sensores sCMOS para o experimento CYGNO

Abstract

The use of imaging sensors in science plays a fundamental role, especially in the CYGNO experiment, which aims to detect dark matter. This dissertation investigates the application of sCMOS imaging sensors as candidates for enhancing the LIME detector used in the CYGNO experiment, which aims to detect low-energy events such as interactions with dark matter particles. Three sCMOS sensor models were evaluated for their technical characteristics and suitability for the specific conditions of the experiment. The importance of sensors with high sensitivity, low noise and the ability to operate in low-light environments is highlighted, since these factors are critical for capturing rare and subtle events. The paper also discusses the challenges related to detecting events in particle physics experiments and the technical considerations involved in choosing the most appropriate sensor for the CYGNO detector. Comparative analyses of the sensors are used to discuss aspects that influence performance.