Abstract
Abstract This study explores the modeling and prediction of the straw tube detector performance using Garfield++ and LTSpice. Straw Tube Trackers (STT) are important components in high-energy physics experiments because of their large detection area and low material cost, making them an attractive option. The aim is to accurately predict drift time and signal shape of straw response, which are crucial for optimizing readout electronics of future STTs. The research involves integrating Garfield++, a simulation toolkit, with LTSpice, an electronic circuit emulator, to simulate detector responses comprehensively. The study validates simulation predictions with experimental measurements from VMM3 and Tiger ASICs, focusing on refining model accuracy. Key challenges include measuring signal timing and charge simultaneously to enhance detector performance. This work advances the precision and reliability of particle detection systems, optimizing readout systems and improving straw tube detector performance. Ongoing efforts focus on developing new ASIC prototypes for future high-energy physics applications.