Hovering of an Electrically Actuated Spacecraft in a Small-Body Plasma Field

This paper presents simulation models and an analysis of the hovering capability of an electrostatic spacecraft around a small celestial body. The hovering capabilities of an electrically actuated spacecraft are evaluated by combining orbital dynamics analysis with 3-D fully kinetic particle-in-cell simulations of asteroid/spacecraft interactions with the solar-wind plasma. The zero-velocity curves obtained from the analysis allow the identification of the equilibrium points for different levels of charge. The analysis of the system equilibria indicates the presence of equilibrium points in the combined gravitational, electrostatic, and solar illumination fields, most of which can be obtained by charging the spacecraft negatively. The charge-to-mass ratio needed to hover is obtained for different orbital positions, and an analysis of the sensitivity of the equilibria with respect to the spacecraft equivalent radius and with respect to the sun-to-main-body distance provides additional insight into the system dynamics

Tango Spacecraft Wireframe Dataset Model for Line Segments Detection

General Description: The "Tango Spacecraft Wireframe Dataset Model for Line Segments Detection" dataset here published should be used for line detection and segmentation tasks. It is split into 30002 train images and 3002 test images representing the Tango spacecraft from Prisma mission, being the only publicly available dataset of synthetic space-borne images tailored to line detection tasks (up to our knowledge). The label of each image gives the reprojection of a simplified wireframe model of Tango on the image plane split into lines. The labels are written following the Wireframe Model format. The "Tango Spacecraft Wireframe Dataset Model for Line Segments Detection" is also the largest dataset with wireframe annotations available up to date. More information on the dataset split and on the label format are reported below. Images Information: The dataset comprises 30002 synthetic grayscale images of Tango spacecraft from Prisma mission that serves as train set, while the test set is formed by 3002 synthetic grayscale images of Tango spacecraft from Prisma mission in PNG format. About 1/6 of the images both in the train and in the test set have a non-black background, obtained by rendering an Earth-like model in the raytracing process used to define the images reported. The images have different resolutions in pixels and are noise-free to increase the flexibility of the dataset. The illumination direction of the spacecraft in the scene is uniformly distributed in the 3D space in agreement with the Sun position constraints. Labels Information: Labels in the Wireframe dataset format are here provided in separated JSON files. The files are formatted per each image as in the following example: width : 98 # width in pixels (int) of the current image height : 176 # height in pixels (int) of the current image lines : [[line1], [line2], ..., [lineN]] # list of lines in each image filename : tango_img_866.png # string with image name and format Per each line (line1, ... , lineN) in lines, the format is [x0, y0, x1, y1]. (x0, y0) are the coordinates (float) of the line starting point in the image reference frame (x pointing right and y pointing down with origin located in the top-left corner of the image). (X1, y1) are the coordinates (float) of the line ending point in the image reference frame (x pointing right and y pointing down with origin located in the top-left corner of the image). Note that the starting point is assumed to be the left-most endpoint (lower x coordinate in image reference frame) of each line. In the case of vertical lines, the starting point is the upper-most endpoint (lower y coordinate in image reference frame) of each line

Diagnostica dei sistemi turbogas. Ruolo e descrizione delle principali tecniche

Viene presentata una breve descrizione del ruolo e dell'importanza delle tecniche di diagnostica dei sistemi turbogas come strumenti indispensabili nella gestione e manutenzione di apparati di turbine a gas per uso aeronautico-propulsivo e per produzione di energia meccanica su grande e piccola scala. La manutenzione di tipo predittivo richiede la messa a punto di strumenti di diagnosi in grado di monitorare costantemente la macchina, e di strumenti di prognosi che consentano di elaborare futuri scenari a partire da quelli individuati dai sistemi di diagnostica. I principali tipi di sistemi diagnostici basati sull'analisi di performance sono analizzati brevemente nel seguito, soffermandosi con particolare attenzione alle cosiddette tecniche di Intelligenza Artificiale (AI)

The scientific payload on-board the HERMES-TP and HERMES-SP CubeSat missions

none103siHERMES (High Energy Rapid Modular Ensemble of Satellites) Technological and Scientific pathfinder is a space borne mission based on a LEO constellation of nano-satellites. The 3U CubeSat buses host new miniaturized detectors to probe the temporal emission of bright high-energy transients such as Gamma-Ray Bursts (GRBs). Fast transient localization, in a field of view of several steradians and with arcmin-level accuracy, is gained by comparing time delays among the same event detection epochs occurred on at least 3 nano-satellites. With a launch date in 2022, HERMES transient monitoring represents a keystone capability to complement the next generation of gravitational wave experiments. In this paper we will illustrate the HERMES payload design, highlighting the technical solutions adopted to allow a wide-energy-band and sensitive X-ray and gamma-ray detector to be accommodated in a CubeSat 1U volume together with its complete control electronics and data handling system.noneEvangelista, Yuri; Fiore, Fabrizio; Fuschino, Fabio; Campana, Riccardo; Ceraudo, Francesco; Demenev, Evgeny; Guzman, Alejandro; Labanti, Claudio; La Rosa, Giovanni; Fiorini, Mauro; Gandola, Massimo; Grassi, Marco; Mele, Filippo; Morgante, Gianluca; Nogara, Paolo; Piazzolla, Raffaele; Pliego Caballero, Samuel; Rashevskaya, Irina; Russo, Francesco; Sciarrone, Giulia; Sottile, Giuseppe; Milankovich, Dorottya; Pál, András; Ambrosino, Filippo; Auricchio, Natalia; Barbera, Marco; Bellutti, Pierluigi; Bertuccio, Giuseppe; Borghi, Giacomo; Cao, Jiewei; Chen, Tianxiang; Dilillo, Giuseppe; Feroci, Marco; Ficorella, Francesco; Lo Cicero, Ugo; Malcovati, Piero; Morbidini, Alfredo; Pauletta, Giovanni; Picciotto, Antonino; Rachevski, Alexandre; Santangelo, Andrea; Tenzer, Chistoph; Vacchi, Andrea; Wang, Lingjun; Xu, Yupeng; Zampa, Gianluigi; Zampa, Nicola; Zorzi, Nicola; Burderi, Luciano; Lavagna, Michèle; Bertacin, Roberto; Lunghi, Paolo; Monge, Angel; Negri, Barbara; Pirrotta, Simone; Puccetti, Simonetta; Sanna, Andrea; Amarilli, Fabrizio; Amelino-Camelia, Giovanni; Bechini, Michele; Citossi, Marco; Colagrossi, Andrea; Curzel, Serena; Della Casa, Giovanni; Cinelli, Marco; Del Santo, Melania; Di Salvo, Tiziana; Feruglio, Chiara; Ferrandi, Fabrizio; Fiorito, Michele; Gacnik, Dejan; Galgóczi, Gabor; Gambino, Angelo Francesco; Ghirlanda, Giancarlo; Gomboc, Andreja; Karlica, Mile; Efremov, Pavel; Kostic, Uros; Clerici, Aurora; Lopez Fernandez, Borja; Maselli, Alessandro; Nava, Lara; Ohno, Masanori; Ottolina, Daniele; Pasquale, Andrea; Perri, Matteo; Piccinin, Margherita; Prinetto, Jacopo; Riggio, Alessandro; Ripa, Jakub; Papitto, Alessandro; Piranomonte, Silvia; Scala, Francesca; Selcan, David; Silvestrini, Stefano; Rotovnik, Tomaz; Virgilli, Enrico; Troisi, Ivan; Werner, Norbert; Zanotti, Giovanni; Anitra, Alessio; Manca, Arianna; Clerici, AuroraEvangelista, Yuri; Fiore, Fabrizio; Fuschino, Fabio; Campana, Riccardo; Ceraudo, Francesco; Demenev, Evgeny; Guzman, Alejandro; Labanti, Claudio; La Rosa, Giovanni; Fiorini, Mauro; Gandola, Massimo; Grassi, Marco; Mele, Filippo; Morgante, Gianluca; Nogara, Paolo; Piazzolla, Raffaele; Pliego Caballero, Samuel; Rashevskaya, Irina; Russo, Francesco; Sciarrone, Giulia; Sottile, Giuseppe; Milankovich, Dorottya; Pál, András; Ambrosino, Filippo; Auricchio, Natalia; Barbera, Marco; Bellutti, Pierluigi; Bertuccio, Giuseppe; Borghi, Giacomo; Cao, Jiewei; Chen, Tianxiang; Dilillo, Giuseppe; Feroci, Marco; Ficorella, Francesco; Lo Cicero, Ugo; Malcovati, Piero; Morbidini, Alfredo; Pauletta, Giovanni; Picciotto, Antonino; Rachevski, Alexandre; Santangelo, Andrea; Tenzer, Chistoph; Vacchi, Andrea; Wang, Lingjun; Xu, Yupeng; Zampa, Gianluigi; Zampa, Nicola; Zorzi, Nicola; Burderi, Luciano; Lavagna, Michèle; Bertacin, Roberto; Lunghi, Paolo; Monge, Angel; Negri, Barbara; Pirrotta, Simone; Puccetti, Simonetta; Sanna, Andrea; Amarilli, Fabrizio; Amelino-Camelia, Giovanni; Bechini, Michele; Citossi, Marco; Colagrossi, Andrea; Curzel, Serena; Della Casa, Giovanni; Cinelli, Marco; Del Santo, Melania; Di Salvo, Tiziana; Feruglio, Chiara; Ferrandi, Fabrizio; Fiorito, Michele; Gacnik, Dejan; Galgóczi, Gabor; Gambino, Angelo Francesco; Ghirlanda, Giancarlo; Gomboc, Andreja; Karlica, Mile; Efremov, Pavel; Kostic, Uros; Clerici, Aurora; Lopez Fernandez, Borja; Maselli, Alessandro; Nava, Lara; Ohno, Masanori; Ottolina, Daniele; Pasquale, Andrea; Perri, Matteo; Piccinin, Margherita; Prinetto, Jacopo; Riggio, Alessandro; Ripa, Jakub; Papitto, Alessandro; Piranomonte, Silvia; Scala, Francesca; Selcan, David; Silvestrini, Stefano; Rotovnik, Tomaz; Virgilli, Enrico; Troisi, Ivan; Werner, Norbert; Zanotti, Giovanni; Anitra, Alessio; Manca, Arianna; Clerici, Auror