Over the past decade, Monolithic Active Pixel Sensors (MAPS) have well established their position in high-energy physics experiment vertex detectors. By integrating both the readout circuitry and the sensitive volume on a single chip manufactured via commercial processes, MAPS enable the development of ultra-thin, large-scale tracking detectors. The ALICE Inner Tracking System 2 (ITS2),...
Low Gain Avalanche Diodes (LGADs) are silicon detectors with an intrinsic gain, developed for timing measurements in High Energy Physics Experiments. The sate-of-the-art LGADs foreseen for ATLAS and CMS experiments feature a channel size of about 2 mm$^2$ on 50 $\mu$m thick silicon providing a timing resolution of about 30 ps for Minimum Ionizing Particles (MIPs). These detectors are radiation...
Monolithic Active Pixel Sensors (MAPS) have emerged as a key enabling technology in particle physics, offering ยตm-level spatial resolution, low material budget, simplified assembly, and lower production costs compared to alternative detector technologies.
Following the success of ALPIDE, designed by the ALICE collaboration and currently operational in LHC Run 3, interest in MAPS has expanded...
In the context of the Pentadimensional Tracking Space Detector
project (PTSD), we are currently developing a demonstrator to increase the Technological Readiness Level of LGAD Si-microstrip tracking detectors for applications in space-borne instruments.
Low Gain Avalanche Diodes (LGAD) is a consolidated technology developed for particle detectors at colliders which allows for simultaneous...
The PHeSCAMI project (Pressurized Helium Scintillating Calorimeter for AntiMatter Identification) aims to detect anti-deuterium in cosmic rays by utilizing delayed annihilations (~ฮผs) expected within a pressurized helium target. This technique relies on capturing the helium scintillation signal (80 nm), which requires a two-stage Wavelength Shifter (WLS) conversion.
This study presents...
In this contribution we present a novel compact particle identification (PID) detector concept based on Silicon Photomultipliers (SiPMs) optimized to perform combined Ring-Imaging Cherenkov (RICH) and Time-of-Flight (TOF) measurements using a common photodetector layer. The system consists of a Cherenkov radiator layer separated from a photosensitive surface equipped with SiPMs by an...
A gamma-ray observatory with high sensitivity in the MeV range (100 keV - 100โฏMeV) and with good spectral and polarimetric capabilities will bring unprecedented insights into many astrophysical domains such as cosmic ray production and propagation, nucleosynthesis processes and transient and extreme phenomena, and will be key in addressing fundamental physics questions such as the nature of...
Gas Electron Multipliers (GEMs) play a critical role in high-resolution X-ray polarimetry, enabling precise measurements for astrophysical missions such as IXPE, Polarlight, and the upcoming eXTP telescope. These detectors rely on the ability to amplify electron signals generated by incoming X-rays with high spatial resolution while maintaining optimal detection efficiency in the 2โ8 keV...
We present a novel large-volume, extended field-of-view Time Projection Chamber (TPC) tailored for hard Xโray polarimetry. Originally developed for directional Dark Matter searches, the system has been adapted to measure the polarization of Xโrays, providing a new tool to probe the high-energy universe. The detector employs a triple-GEM configuration coupled with an optical readout, using a...
The Imaging X-ray Polarimetry Explorer (IXPE) is a NASA-ASI space mission launched in 2021 and it is the current state-of-the-art of astrophysical X-ray polarimetry. It measures the linear polarization of different astrophysical sources over the photon energy range 2-8 keV.
Its core detector is the Gas Pixel Detector (GPD): it employs the photoelectric effect and the polarization is recovered...
The direct measurement of the antimatter components in cosmic rays provides a crucial information on the mechanisms responsible for their acceleration/propagation and represent a powerful tool for the indirect search of dark matter. At present, charge sign discrimination has been performed by the use of magnetic spectrometers, which are not suited to extend the current measurements at higher...
A new era of space missions is needed to address the unresolved questions raised by current experiments, and further advance our understanding of charged cosmic rays and gamma rays. The challenge of the direct detection at increasingly higher energies, combined with enhanced energy and angular resolutions, is shaping the design of future detectors. FIT is a modular, high-resolution particle...
Machine Learning (ML) techniques have proven highly effective in gamma-ray data analysis performed in ground-based pipelines. Implementing ML analysis directly onboard satellites introduces transformative capabilities that enhance both spacecraft autonomy and ground segment efficiency. Onboard ML processing significantly reduces the required downlink bandwidth by selecting relevant data before...
The integration of advanced artificial intelligence techniques into astroparticle experiments marks a transformative step in data analysis and experimental design. As space missions grow increasingly complex, the adoption of AI technologies becomes critical to optimizing performance and achieving robust scientific outcomes.
This study focuses on the development of innovative AI-driven...
The growing demand for GPUs has led to the rapid development of machine learning research techniques in all areas of science, including High Energy Physics.
We present a study focused on the classification task of simulated electrons and protons as they would be detected by the High Energy Cosmic-Radiation Detection (HERD) Facility. HERD is a high-energy cosmic-ray detector based on a deep...
