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Micro-patterned gaseous detectors of radiation and its applications

Abstract

Radiation gaseous detectors have always played a vital role in developing nuclear physics. The recent technology of Micro-Patterned Gaseous Detectors (MPGDs) has become widely adopted in high-energy physics experiments due to its cost-effective instrument for larger areas, low material budget, and high radiation hardness. A worldwide community has been working to improve spatial and temporal resolution and extend the rate capability. True is that no other detector technology provides a similar diversity of uses. Recently, this group of researchers from the University of São Paulo (USP) and University of Nottingham (UoN) started working to enable fast prototyping with additive manufacturing (3D printing), aiming design flexibility to search for new geometries that optimize the sensor. This project intends to continue this innovative effort. Additionally, with the advanced analytical techniques for materials and surfaces characterizations of the National Physical Laboratory (NPL), an unprecedented level of accuracy and sensitivity will be applied to in-depth modeling of the aging and degradation of the sensor. Optimization and longevity are two constraints for the MPGDs technology that, if not addressed, avoids partially or entirely the main physics subject of future experiments in high energy physics.Moreover, the second phase of the project includes technology transfer. The idea is to construct a prototype and study ways to introduce the MPGDs technology in the market. The possible benefit is the reduction of costs of radiographic and tomographic types of equipment, impacting areas like agriculture with grain quality inspection, land security with bags radiography, veterinary with radiography and tomography of small animals, and geology and petroleum by micro-tomography of rocks and sediments. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DA SILVA, TIAGO FIORINI. Applications of machine learning in ion beam analysis of materials. JOURNAL OF VACUUM SCIENCE & TECHNOLOGY A, v. 43, n. 2, p. 9-pg., . (22/03043-1)
SARAMELA, THIAGO B.; SILVA, TIAGO F.; BREGANT, MARCO; MUNHOZ, MARCELO G.; QUACH, TIEN T.; HAGUE, RICHARD; GILMORE, IAN S.; ROBERTS, CLIVE J.; TRINDADE, GUSTAVO F.. Evidence for polyimide redeposition and possible correlation with sparks in Gas Electron Multipliers working in CF4 mixtures. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SP, v. 1066, p. 7-pg., . (19/07426-0, 20/04867-2, 22/03043-1)