A5002459792- Radiation Detection and Scintillator Technologies
- Nuclear Physics and Applications
- Particle Detector Development and Performance
- Medical Imaging Techniques and Applications
- Atomic and Subatomic Physics Research
- Advanced X-ray and CT Imaging
- 3D Surveying and Cultural Heritage
- Conservation Techniques and Studies
- Cultural Heritage Management and Preservation
- Radiomics and Machine Learning in Medical Imaging
- Archaeological Research and Protection
- Advanced Vision and Imaging
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Computational Drug Discovery Methods
- Digital Radiography and Breast Imaging
- Satellite Image Processing and Photogrammetry
National Agency for New Technologies, Energy and Sustainable Economic Development
2021-2025
Sapienza University of Rome
2024
The present paper introduces the so-called scintillator footprints, consisting of plots showing XRF-escape peaks and their relative emission intensities in energy range interest for nuclear medicine SPECT PET. A footprint describes suitability a quantitative investigation with best possible detectability. Sixteen scintillation materials have been identified literature, characterized by effective atomic numbers Zeff ranging between 22 75. footprints NaI:Tl BGO, confirm spectral analysis PET,...
The effect of escape X-ray fluorescence from scintillator elemental components on the detector energy resolution is investigated a spectroscopic standpoint, for monolithic and pixelated crystals. Along with these, any other emissions in given region interest were also considered. In present spectral evaluations range ratios between areas peaks (XRFesc) to (XRFesc + photoelectric) has been priori set 0-50%, according literature indications, by 10% steps. At upper extremes these ratio values,...
This study was carried out within the project “Roma Hispana. Nuevas tecnologías aplicadas al estudio histórico, la musealización y puesta en valor de Patrimonio Cultural español Roma: spezieria di Santa Maria della Scala” (Universitat València Spain), which is funded by Conselleria d’Innovació, Universitats, Ciència i Societat Digital of Generalitat Valenciana (2020–2021) and authorized Sovrintendenza Speciale Archeologia Belle Arti e Paesaggio (Special Superintendence Archeology, Fine Arts...
Present work investigates, in photon energy domains of specific interest for medical imaging, the effect escape X-ray fluorescence from scintillator materials on resolution scintillation detector itself. Monolithic as well pixelated crystals differently sized are considered, case NaI because it is gold standard field. The volumetric ratio introduced, a figure merit, taking into account, alongside surface-to-volume ratio, geometric shape, elemental composition and also mean-free-path given...
The present paper introduces the so-called scintillators footprints, made of schemes showing XRF-escape peaks and their relative emission intensities in energy range interest for nuclear medicine SPECT PET. A footprint describes suitability a scintillator quantitative investigation with best possible detectabilility. Sixteen scintillation materials have been identified Literature, characterized by effective atomic number ranging between 22 to 75. footprints NaI:Tl BGO, confirm spectral...
Present work investigates, in photon energy domains of specific interest for medical imaging, the effect escape X-ray fluorescence from scintillator materials on resolution scintillation detector itself. Monolithic as well pixelated crystals differently sized are considered, case NaI because it is gold standard field. The volumetric ratio introduced, a figure merit, taking into account, alongside surface-to-volume ratio, geometric shape, elemental composition and also mean-free-path given...
<p>In recent years, digital technologies for enhancement and use of cultural heritage items has grown considerably. Multimedia, virtual augmented reality 3D reconstructions make it possible to bring the general public closer an understanding something that no longer exists or is from a distant time. But tools can serve more than educational purposes.</p><p>To date, digitisation become above all essential tool in most projects involving conservation, restoration,...
Abstract This paper shows the experimental activities carried out by a joint research group on case study of Basilica di San Nicola in Carcere Rome, concerning integration different 3D reconstruction technologies Cultural Heritage domain. Dataset obtained from laser scanner and photogrammetry, were processed remote platform based powerful ENEA computational infrastructure, order to analyse dense clouds, compare them improve quality data. also efforts upgrade this optimisation processes.
This work applies Graph Neural Networks (GNNs), a class of deep learning methods, to predict physical properties and obtain optimal cathode materials for batteries. Two GNNs are selected: Crystal Convolutional (CGCNN) the more recent Geometric-Information-Enhanced Network (GeoCGNN). Both networks trained on selected open-source ab initio Density Functional Theory (DFT) dataset solid-state formation energy then calculate redox potential. Numerical results show inference best model ran...
The present work deals with a 10 × array of (Lu0.7Y0.3)AP:Ce 2 mm3 pixels, manufactured by Crytur (Cz), that has been utilized in previous paper. crystal-array coupled to an 8 anodes H10966 model Hamamatsu (Jp) Position-Sensitive Photo Multiplier Tube (PSPMT) connected electronics for single events scintillation read-out. response such detector studied under Co-57, or Ba-133, Cs-137 gamma-ray emissions, as well Lu-176 self-activity only. is aimed at characterizing the individual...