Daniele Grosso | Searcharxiv

arXiv2025

Speeding up design and making to reduce time-to-project and time-to-market: an AI-Enhanced approach in engineering education

This paper explores the integration of AI tools, such as ChatGPT and GitHub Copilot, in the Software Architecture for Embedded Systems course. AI-supported workflows enabled students to rapidly prototype complex projects, emphasizing real-world applications like SLAM robotics. Results demon-started enhanced problem-solving, faster development, and more sophisticated outcomes, with AI augmenting but not replacing human decision-making.

cs.AI↗

arXiv2025

The TES-based Cryogenic AntiCoincidence Detector of ATHENA X-IFU: Validation of the thermal end-to-end simulator towards the updated Demonstration Model (DM 1.1)

The Cryogenic AntiCoincidence Detector (CryoAC) is a key element of the X-ray Integral Field Unit (X-IFU) on board the future ATHENA X-ray observatory. It is a TES-based detector designed to reduce the particle background of the instrument, thereby increasing its sensitivity. The detector design is driven by an end-to-end simulator which includes the electro-thermal modelling of the detector and the dynamics of its readout chain. Here, we present the measurements carried out on the last CryoAC single pixel prototype, namely DM127, in order to evaluate the critical thermal parameters of the detector and consequently to tune and validate the CryoAC end-to-end simulator.

astro-ph.IM↗