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Note Illustrative della Carta geologica d'Italia alla scala 1:50.000, F. 320 Castel del Piano, Servizio Geologico d'Italia - ISPRA
No full text<p>Note illustrative redatte per il Foglio geologico n. 320 Castel del Piano della Carta Geologica d'Italia alla scala 1:50.000. 296 pp.</p>
Banca dati geologica F. 624 Monte Etna scala 1:25.000
Get PDF<p>Banca Dati alla scala 1:25.000 della Carta Geologica prodotta nell'ambito del Progetto CARG in formato GeoPackage. I layer presenti si riferiscono alle Unità cartografabili geologiche, agli Elementi geomorfologici e alle Risorse e Prospezioni. Gli strati informativi sono rappresentati in accordo con la simbologia prevista dalla normativa del Progetto CARG.</p>
Carta Geologica d'Italia alla scala 1:50.000, F. 235 Pievepelago
No full text<p>Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 1982 e il 1996) comprensivo di legenda, schemi a cornice, sezioni geologiche.</p>
High-Performance Cosmology: recent developments in the PINOCCHIO code
Get PDF<p>The presentation covers the latest developments of the PINOCCHIO code from both a scientific and a technical perspective, as well as an original application of the code to study the statistics of cosmic voids</p>
Spherically symmetric anisotropic strange stars
No full textIn this work, we made an extensive study about the possible presence of anisotropies in strange stars. To accomplish this task, we use three different configurations for the strange matter: the unpaired matter, a two-flavor super-conducting (2SC) strange matter, and a fully three-flavor super-conducting strange matter (CFL). For each configuration, we calculate the relevant quantities for the strange stars, such as the mass-radius relation, the dimensionless tidal parameter, the moment of inertia, and the surface curvature for different degrees of anisotropies. Whenever possible, we compare our results with constraints found in the literature, especially focusing on the existence of very massive pulsars (PSR J0952-0607), as well as very light compact objects (HESS J1731-347)
SPT-SZ MCMF: an extension of the SPT-SZ catalogue over the DES region
No full textWe present an extension to a Sunyaev–Zel'dovich Effect (SZE) selected cluster catalogue based on observations from the South Pole Telescope (SPT); this catalogue extends to lower signal to noise than the previous SPT–SZ catalogue and therefore includes lower mass clusters. Optically derived redshifts, centres, richnesses, and morphological parameters together with catalogue contamination and completeness statistics are extracted using the multicomponent matched filter (MCMF) algorithm applied to the S/N > 4 SPT–SZ candidate list and the Dark Energy Survey (DES) photometric galaxy catalogue. The main catalogue contains 811 sources above S/N = 4, has 91 per cent purity, and is 95 per cent complete with respect to the original SZE selection. It contains in total 50 per cent more clusters and twice as many clusters above z = 0.8 in comparison to the original SPT-SZ sample. The MCMF algorithm allows us to define subsamples of the desired purity with traceable impact on catalogue completeness. As an example, we provide two subsamples with S/N > 4.25 and S/N > 4.5 for which the sample contamination and cleaning-induced incompleteness are both as low as the expected Poisson noise for samples of their size. The subsample with S/N > 4.5 has 98 per cent purity and 96 per cent completeness and is part of our new combined SPT cluster and DES weak-lensing cosmological analysis. We measure the number of false detections in the SPT-SZ candidate list as function of S/N, finding that it follows that expected from assuming Gaussian noise, but with a lower amplitude compared to previous estimates from simulations
CBCT/ExoCT reconstruction software
No full text<p><strong>Reconstruction algorithm for cone beam CT with conventional and oscillating scanning orbit</strong></p>\n\n<p><strong>Disclaimer</strong></p>\n\n<p>This software was developed in Matlab environment (MathWorks Inc) by Antonio Minopoli and Antonio Sarno as part of the PRIN project Q-CT funded by the Italian Ministry of University and Research (CUP E53D23012420006). The activity of Antonio Sarno was also part of the Prof-of-Concept project QE-CBCT funded by the Italian Ministry of the Economic Development (MISE) through the Italian Institute of Nuclear Physics (CUP C18H23000670002). Permission of use is hereby granted, free of charge, to any person obtaining a copy of the Software, to deal in the software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, or sell copies of the Software or derivatives. Developers assume no responsibilities whatsoever for the use by other parties of the software and make no guarantees, expressed or implied, about its quality, reliability, or any other characteristics. Although this software can be redistributed and/or modified freely.</p>\n\n<p> </p>\n\n<p><strong>Software features</strong></p>\n\n<p>The developed software permits analytical FDK reconstruction in CBCT, either by using CPU or GPU architecture. It permits sinogram input either for conventional circular scanning geometry or for oscillating geometry as described in the quoted paper. </p>\n\n<p><strong>Instruction for the use</strong></p>\n\n<p>This MATLAB project implements the Feldkamp-Davis-Kress (FDK) reconstruction algorithm specifically adapted for cone beam computed tomography (CBCT) with an oscillating scanning orbit. The algorithm is designed to handle the source overlapping introduced by the oscillating orbit, providing accurate 3D reconstructions from cone beam data. It was developed and tested on Matlab R2024a and Windows OS</p>\n\n<p><strong>List additional toolboxes required</strong></p>\n\n<ul>\n\t<li>\n\t<p>Image Processing Toolbox</p>\n\t</li>\n\t<li>\n\t<p>Parallel Computing Toolbox</p>\n\t</li>\n</ul>\n\n<p><strong>Instructions</strong></p>\n\n<ol>\n\t<li>\n\t<p>Download the folder containing the main code (ExoCT_code.m), the parameter setting with two example settings (User_setting_ex1.m and User_setting_ex2.m), the folder ‘/Functions’ containing the supporting functions (FDK.p, Filtering.p, Geometry_initialization.p, Stack_saving.p), and two sinograms contained in the folder ‘/Sinograms’ to be used with the user setting examples (PP1_sino.tif and PP3_sino.tif).</p>\n\t</li>\n\t<li>\n\t<p>Define parameters in User_setting_*.m, in detail:</p>\n\n\t<ul>\n\t\t<li>\n\t\t<p>param.sinogram: filename or full path in case the folder containing the sinogram is different from “Sinogram” folder provided</p>\n\t\t</li>\n\t\t<li>\n\t\t<p>param.horizontal: “true” if the angle of projections varies along the horizontal axis, “false” if along the vertical axis</p>\n\t\t</li>\n\t\t<li>\n\t\t<p>param.log: “true” if the sinogram pixel values are expressed as logarithm, “false” otherwise</p>\n\t\t</li>\n\t\t<li>\n\t\t<p>param.gpu: “1” to enable the use of GPU, “0” to disable it</p>\n\t\t</li>\n\t\t<li>\n\t\t<p>param.px_size: pixel size in millimeters</p>\n\t\t</li>\n\t\t<li>\n\t\t<p>param.DSD: source-detector distance in millimeters</p>\n\t\t</li>\n\t\t<li>\n\t\t<p>param.DSO: source-object distance in millimeters</p>\n\t\t</li>\n\t\t<li>\n\t\t<p>param.tot_angle: total scanning angle</p>\n\t\t</li>\n\t\t<li>\n\t\t<p>param.dir: “-1” if the gantry rotates counterclockwise, “1” if the gantry rotates clockwise</p>\n\t\t</li>\n\t\t<li>\n\t\t<p>param.PP: number of projections per oscillation period</p>\n\t\t</li>\n\t\t<li>\n\t\t<p>param.amplitude: full amplitude oscillation in millimeters</p>\n\t\t</li>\n\t\t<li>\n\t\t<p>param.vx: voxel size along x axis in millimeters</p>\n\t\t</li>\n\t\t<li>\n\t\t<p>param.vy: voxel size along y axis in millimeters</p>\n\t\t</li>\n\t\t<li>\n\t\t<p>param.vz: voxel size along z axis in millimeters</p>\n\t\t</li>\n\t\t<li>\n\t\t<p>param.filter: the available filters are “ram-lak”, “shepp-logan”, “cosine”, “hamming”, “hann”</p>\n\t\t</li>\n\t\t<li>\n\t\t<p>param.save: “true” to save the reconstructed volume, “false” otherwise.</p>\n\t\t</li>\n\t</ul>\n\t</li>\n\t<li>\n\t<p>Run ExoCT_code.m</p>\n\t</li>\n\t<li>\n\t<p>The output volume will be saved in the dedicated subdirectory Reconstructed_volume. Each of the reconstructed axial slice will be saved as a separate 32-bit ASCII file.</p>\n\t</li>\n</ol>
ICSC and Spoke2 / What next?
No full text<p>Tavola rotonda su ICSC al meeting annuale 2024 a Catania.</p>
Algorithm for creation of digital twin from UAV
No full text<p>The report specifically focuses on the creation of digital twins using UAV (Unmanned Aerial Vehicle) photogrammetry techniques. It offers functionalities for processing aerial imagery, generating 3D models, and creating digital representations of real-world environments</p>
Adapting Hough Analisys workflow to run on IGWN resources
No full text<p>The computing workflow for one of the CW searches based on Frequency Hough Analysis has been performed by the Rome Group for several years using storage and computing resources mainly provisioned by INFN-CNAF and strictly tied with its specific infrastructure. Starting with O4a, the workflow has been adapted to be more general and to comply with computing centers in the IGWN community. We describe the work done to achieve this integration, the problems we had to face, current results and the next foreseen steps.</p>