810 results on '"Palomba E"'
Search Results
102. Hayabusa 2 : Main Results From Orbit And First Analysis On Sample Returned Grains
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Palomba, E., Galiano, A., Angrisani, M., D’Amore, M., Zinzi, A., Dirri, F., Longobardo, A., Perna, D., Bott, N., Della Corte, V., Capria, M. T., and Gisellu, C.
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- 2022
103. MOVIDA: an instrument for the characterization of lunar dust charging and levitation process and measurement of volatiles
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Palomba, E., Longobardo, A., Dirri, F., Zampetti, E., Saggin, B., Scaccabarozzi, D., Gisellu, C., and Angrisani, M.
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- 2022
104. Performance tests and qualification of VISTA, a microbalance for asteroids characterization for Hera mission
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Gisellu, C., Dirri, F., Palomba, E., Longobardo, A., Saggin, B., Scaccabarozzi, D., Zampetti, E., and Angrisani, M.
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- 2022
105. Clinical risk scores for the early prediction of severe outocomes in patients hospitalized for COVID-19: comment
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Rossio R., Tettamanti M., Nobili A., Harari S., Mannucci P. M., Bandera A., Peyvandi F., Bosari S., Scudeller L., Fusetti G., Rusconi L., Dell'Orto S., Prati D., Valenti L., Giovannelli S., Manunta M., Lamorte G., Ferrari F., Gori A., Muscatello A., Mangioni D., Alagna L., Bozzi G., Lombardi A., Ungaro R., Ancona G., Zuglian G., Bolis M., Iannotti N., Ludovisi S., Comelli A., Renisi G., Biscarini S., Castelli V., Palomba E., Fava M., Fortina V., Peri C. A., Saltini P., Viero G., Itri T., Ferroni V., Pastore V., Massafra R., Liparoti A., Muheberimana T., Giommi A., Bianco R., De Azevedo R. M., Chitani G. E., Gualtierotti R., Ferrari B., Boasi N., Pagliaro E., Massimo C., De Caro M., Giachi A., Montano N., Vigone B., Bellocchi C., Carandina A., Fiorelli E., Melli V., Tobaldini E., Blasi F., Aliberti S., Spotti M., Terranova L., Misuraca S., D'Adda A., Fiore S. D., Di Pasquale M., Mantero M., Contarini M., Ori M., Morlacchi L., Rossetti V., Gramegna A., Pappalettera M., Cavallini M., Buscemi A., Vicenzi M., Rota I., Costantino G., Solbiati M., Furlan L., Mancarella M., Colombo G., Fanin A., Passarella M., Monzani V., Canetta C., Rovellini A., Barbetta L., Billi F., Folli C., Accordino S., Maira D., Hu C. M., Motta I., Scaramellini N., Fracanzani A. L., Lombardi R., Cespiati A., Cesari M., Lucchi T., Proietti M., Calcaterra L., Mandelli C., Coppola C., Cerizza A., Pesenti A. M., Grasselli G., Galazzi A., Monti I., Galbussera A. A., Crisafulli E., Girelli D., Maroccia A., Gabbiani D., Busti F., Vianello A., Biondan M., Sartori F., Faverio P., Pesci A., Zucchetti S., Bonfanti P., Rossi M., Beretta I., Spolti A., Elia D., Cassandro R., Caminati A., Cipollone F., Guagnano M. T., D'Ardes D., Rossi I., Vezzani F., Spanevello A., Cherubino F., Visca D., Contoli M., Papi A., Morandi L., Battistini N., Moreo G. L., Iannuzzi P., Fumagalli D., Leone S., Rossio, R, Tettamanti, M, Nobili, A, Harari, S, Mannucci, P, Bandera, A, Peyvandi, F, Bosari, S, Scudeller, L, Fusetti, G, Rusconi, L, Dell'Orto, S, Prati, D, Valenti, L, Giovannelli, S, Manunta, M, Lamorte, G, Ferrari, F, Gori, A, Muscatello, A, Mangioni, D, Alagna, L, Bozzi, G, Lombardi, A, Ungaro, R, Ancona, G, Zuglian, G, Bolis, M, Iannotti, N, Ludovisi, S, Comelli, A, Renisi, G, Biscarini, S, Castelli, V, Palomba, E, Fava, M, Fortina, V, Peri, C, Saltini, P, Viero, G, Itri, T, Ferroni, V, Pastore, V, Massafra, R, Liparoti, A, Muheberimana, T, Giommi, A, Bianco, R, De Azevedo, R, Chitani, G, Gualtierotti, R, Ferrari, B, Boasi, N, Pagliaro, E, Massimo, C, De Caro, M, Giachi, A, Montano, N, Vigone, B, Bellocchi, C, Carandina, A, Fiorelli, E, Melli, V, Tobaldini, E, Blasi, F, Aliberti, S, Spotti, M, Terranova, L, Misuraca, S, D'Adda, A, Fiore, S, Di Pasquale, M, Mantero, M, Contarini, M, Ori, M, Morlacchi, L, Rossetti, V, Gramegna, A, Pappalettera, M, Cavallini, M, Buscemi, A, Vicenzi, M, Rota, I, Costantino, G, Solbiati, M, Furlan, L, Mancarella, M, Colombo, G, Fanin, A, Passarella, M, Monzani, V, Canetta, C, Rovellini, A, Barbetta, L, Billi, F, Folli, C, Accordino, S, Maira, D, Hu, C, Motta, I, Scaramellini, N, Fracanzani, A, Lombardi, R, Cespiati, A, Cesari, M, Lucchi, T, Proietti, M, Calcaterra, L, Mandelli, C, Coppola, C, Cerizza, A, Pesenti, A, Grasselli, G, Galazzi, A, Monti, I, Galbussera, A, Crisafulli, E, Girelli, D, Maroccia, A, Gabbiani, D, Busti, F, Vianello, A, Biondan, M, Sartori, F, Faverio, P, Pesci, A, Zucchetti, S, Bonfanti, P, Rossi, M, Beretta, I, Spolti, A, Elia, D, Cassandro, R, Caminati, A, Cipollone, F, Guagnano, M, D'Ardes, D, Rossi, I, Vezzani, F, Spanevello, A, Cherubino, F, Visca, D, Contoli, M, Papi, A, Morandi, L, Battistini, N, Moreo, G, Iannuzzi, P, Fumagalli, D, and Leone, S
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Male ,Outcome Assessment ,Disease ,030204 cardiovascular system & hematology ,Respiratory failure ,0302 clinical medicine ,Risk Factors ,Epidemiology ,Early prediction ,Outcome Assessment, Health Care ,030212 general & internal medicine ,Framingham Risk Score ,Respiration ,Area under the curve ,Middle Aged ,Hospitalization ,Survival Rate ,Italy ,Artificial ,Emergency Medicine ,Female ,Clinical risk factor ,2019-20 coronavirus outbreak ,medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Ce - Letter to the Editor ,MEDLINE ,Risk Assessment ,03 medical and health sciences ,Predictive Value of Tests ,Internal medicine ,Internal Medicine ,medicine ,Intubation, Intratracheal ,Humans ,In patient ,Derivation ,COVID-19 ,Risk prediction model ,SARS-CoV 2 ,Selection (genetic algorithm) ,Aged ,Retrospective Studies ,SARS-CoV-2 ,business.industry ,Retrospective cohort study ,Respiration, Artificial ,Im - Original ,Health Care ,Intratracheal ,ROC Curve ,Intubation ,business - Abstract
Coronavirus disease of 2019 (COVID-19) is associated with severe acute respiratory failure. Early identification of high-risk COVID-19 patients is crucial. We aimed to derive and validate a simple score for the prediction of severe outcomes. A retrospective cohort study of patients hospitalized for COVID-19 was carried out by the Italian Society of Internal Medicine. Epidemiological, clinical, laboratory, and treatment variables were collected at hospital admission at five hospitals. Three algorithm selection models were used to construct a predictive risk score: backward Selection, Least Absolute Shrinkage and Selection Operator (LASSO), and Random Forest. Severe outcome was defined as the composite of need for non-invasive ventilation, need for orotracheal intubation, or death. A total of 610 patients were included in the analysis, 313 had a severe outcome. The subset for the derivation analysis included 335 patients, the subset for the validation analysis 275 patients. The LASSO selection identified 6 variables (age, history of coronary heart disease, CRP, AST, D-dimer, and neutrophil/lymphocyte ratio) and resulted in the best performing score with an area under the curve of 0.79 in the derivation cohort and 0.80 in the validation cohort. Using a cut-off of 7 out of 13 points, sensitivity was 0.93, specificity 0.34, positive predictive value 0.59, and negative predictive value 0.82. The proposed score can identify patients at low risk for severe outcome who can be safely managed in a low-intensity setting after hospital admission for COVID-19.
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- 2021
106. Update on Ryugu spectral surface regions classification: dimensionality reduction, manifold learning and unsupervised clustering of NIRS3 data
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D'Amore, Mario, Palomba, E., Domingue, Deborah L., Matsuoka, Moe, and Kitazato, Kohei
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classification ,manifold ,NIRS3 ,spectral ,surface ,Ryugu ,dimensionality reduction ,unsupervised clustering - Abstract
Introduction:The Haybusa-2 spacecraft approached the C-type Near Earth asteroid 162173 Ryugu on June 2018 [1].Haybusa2 is equipped with three remote sensing instruments such i.e.as the Thermal Infrared Imager TIR [2], the NIRS 3 spectrometer [3] and the Optical Navigation Camera-Telescopic (ONC-T) with a wideband and seven narrow band filters [4].Ryugu is a top-shaped Cb type asteroid and is covered by a large number of boulders [5,6].It is one of the darkest object in our Solar System with a quite homogenous composition, including OH-rich materials [7,9]. Method:We found that the NIRS3 data contains sensible variations, possibly linked to geomorphological structures, even though Ryugu surface varies only of few percent in reflectance.Our approach is to exploit the whole spectrometer dataset, to find correlation that could not be foreseen with traditional methods relying on fewer spectral points.Past experience on Mercury data shows that this is a sensible approach, in case of homogeneous featureless targets.We collect NIRS3 data from 20180711_l3a and 20180719_l3a counting around 20k useful spectra, covering almost the whole surface.The data were windowed between 1.8 and 3.1 um to avoid residual thermal effects at higher wavelength, obtaining a data matrix of 20k row x 75 feature or bands.Then we applied a PCA transformation step to retain 10 component or 98% of the total variance, effectively compressing the data from 75 to 10 components.Even though the PCA components per se doesn’t normally have a clear physical meaning, because they mix spectral feature in an unpredictable way, it is interesting to look at the results.The first PCA component has redder slope between 1.8 and 2.5 um, where the second has an inverted redder slope in the same range.The third is spectrally flatter, with an hint of absorption between 2.4 and 2.5 um.The concentration distribution of those three components is also worth investigating: the PCA.0 is anti-correlated with the equatorial bulge and higher in craters, PCA.1 is also higher in crater but not strongly anti-correlated with the equatorial bulge like PCA.0.PCA.3 this is clearly showing a north-south asymmetry.The PCA component order indicate also the importance in explaining total data variance.After that, we apply T-distributed Stochastic Neighbour Embedding (t-SNE)[5]: this converts similarities between data to joint probabilities, minimize the divergence between the joint probabilities of the low-dimensional embedding and the high-dimensional data, typically 2 or 3 dimensions.Essentially, we can feed high dimensional data and get a lower dimension 2D map representation were closer point are also close in the original data space that is easy to visualize.On top of that we partitioned the data point using an Agglomerative Clustering algorithm: starting from all separated data point it clusters the closest together, where closeness is calculated with complete linkage, i.e.the maximum distances between all observations in each pair of classes.Hierarchical algorithm has the nice advantage to show which partition is more stable via a dendrogram plot.In our case, a 6 classes parti tion show as the most suitable one. Results:The surface of Ryugu could be separated in 6 spectral classes, which have a similar spectral trend (Fig.1 top paner) and are spatially coherent (Fig.1 bottom panel) Classes (0,1,5,3) have same trend, but different albedo (from lower to higher reflectance).Class 0 and 1 (C0/C1) are inter-craters terrains, the former mostly in the north , the latter in the south, with minor outcrops in the other hemisphere. C0 is up to -2% darker than Global Mean Reflectance (GMR) and C1 up to +4% brighter.Class 2 (C2) is the darkest class (-5% GMR), and it is found mostly in craters interiors.Class 3 (C3) is the brightest (+5% GMR) and it is found on the the equatorial bulge, but interrupted by Urashima, Momotaro, Kintaro and Kolobock craters.Class 4 and 5 (C4/C5) are two different trend of intermediate terrains. Those are the closest to GMR with a 2% variation around GMR. C4 is mostly found in the north, where C5 in the south, with substantial outcrops in the other hemisphere. The most interesting difference is that C5 follows the global trend of being slightly bluer than GMR between 1.9 um and 2.5 um, but C4 shows an inverted trend, being redder then GMR. In conclusion, we find an automated approach to extract spatially coherent region on Ryugu surface based only on spectral data using almost the whole NIRS3 spectral range.Those classes show a significant spatial correlation with geomorphological feature and different spectral trends. This work will be updated using photometrically corrected NIRS3 data .This work will be applied to photometrically corrected data, that will show features inherently linker to surface materials properties. Fig.1 : (top panel) Classes average (left) and normalized to global mean (right). (bottom panel) Classes spatial distribution on the surface of Ryugu. References:[1] Watanabe S. et al. (2017) Space Sci. Rev. , 208, 3–16,[2] Okada T. et al. (2017) Space Sci. Rev., 208, 255-286,[3] Iwata T. et al. (2017) Space Sci. Rev., 208, 317–337 (2017),[4] Kameda S. et al. (2016) Space Sci. Rev., 208, 17–31,[5] Sugita et al., (2019) Science, 364, eaaw0422 ,[6] Watanabe S. et al. (2019) Science, 364, 268-272 .[7] Kitazato, K. et al., (2019) Science, 364, 272-275.[8] L.J.P. van der Maaten, Journal of Machine Learning Research, 2008.
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- 2021
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107. Exposed water ice on the nucleus of comet 67P/Churyumov–Gerasimenko
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Filacchione, G., De Sanctis, M. C., Capaccioni, F., Raponi, A., Tosi, F., Ciarniello, M., Cerroni, P., Piccioni, G., Capria, M. T., Palomba, E., Bellucci, G., Erard, S., Bockelee-Morvan, D., Leyrat, C., Arnold, G., Barucci, M. A., Fulchignoni, M., Schmitt, B., Quirico, E., Jaumann, R., Stephan, K., Longobardo, A., Mennella, V., Migliorini, A., Ammannito, E., Benkhoff, J., Bibring, J. P., Blanco, A., Blecka, M. I., Carlson, R., Carsenty, U., Colangeli, L., Combes, M., Combi, M., Crovisier, J., Drossart, P., Encrenaz, T., Federico, C., Fink, U., Fonti, S., Ip, W. H., Irwin, P., Kuehrt, E., Langevin, Y., Magni, G., McCord, T., Moroz, L., Mottola, S., Orofino, V., Schade, U., Taylor, F., Tiphene, D., Tozzi, G. P., Beck, P., Biver, N., Bonal, L., Combe, J-Ph., Despan, D., Flamini, E., Formisano, M., Fornasier, S., Frigeri, A., Grassi, D., Gudipati, M. S., Kappel, D., Mancarella, F., Markus, K., Merlin, F., Orosei, R., Rinaldi, G., Cartacci, M., Cicchetti, A., Giuppi, S., Hello, Y., Henry, F., Jacquinod, S., Reess, J. M., Noschese, R., Politi, R., and Peter, G.
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- 2016
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108. Olivine in an unexpected location on Vesta's surface
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Ammannito, E., De Sanctis, M.C., Palomba, E., Longobardo, A., Mittlefehldt, D.W., McSween, H.Y., Marchi, S., Capria, M.T., Capaccioni, F., Frigeri, A., Pieters, C.M., Ruesch, O., Tosi, F., Zambon, F., Fonte, S., Hiesinger, H., Magni, G., McFadden, L.A., Raymond, C.A., Russell, C.T., and Sunshine, J.M.
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Olivine -- Properties ,Vesta (Asteroid) -- Natural history ,Astrogeology -- Research ,Earth -- Mantle ,Environmental issues ,Science and technology ,Zoology and wildlife conservation - Abstract
Olivine is a major component of the mantle of differentiated bodies, including Earth. Howardite, eucrite and diogenite (HED) meteorites represent regolith, basaltic-crust, lower-crust and possibly ultramafic-mantle samples of asteroid Vesta, which is the lone surviving, large, differentiated, basaltic rocky protoplanet in the Solar System (1). Only a few of these meteorites, the orthopyroxene-rich diogenites, contain olivine, typically with a concentration of less than 25 per cent by volume (2). Olivine was tentatively identified on Vesta (3,4), on the basis of spectral and colour data, but other observations did not confirm its presence (5). Here we report that olivine is indeed present locally on Vesta's surface but that, unexpectedly, it has not been found within the deep, south-pole basins, which are thought to be excavated mantle rocks (6-8). Instead, it occurs as near-surface materials in the northern hemisphere. Unlike the meteorites, the olivine-rich (more than 50 per cent by volume) material is not associated with diogenite but seems to be mixed with howardite, the most common (7,9) surface material. Olivine is exposed in crater walls and in ejecta scattered diffusely over a broad area. The size of the olivine exposures and the absence of associated diogenite favour a mantle source, but the exposures are located far from the deep impact basins. The amount and distribution of observed olivine-rich material suggest a complex evolutionary history for Vesta., The Visible and Infrared Mapping Spectrometer (VIR) on board NASA's Dawn spacecraft (10) has been used in a global search for olivine on the Vestan surface (Supplementary Information). VIR revealed [...]
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- 2013
109. Sample return of primitive matter from the outer Solar System
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Vernazza, P., primary, Beck, P., additional, Ruesch, O., additional, Bischoff, A., additional, Bonal, L., additional, Brennecka, G., additional, Brunetto, R., additional, Busemann, H., additional, Carter, J., additional, Carli, C., additional, Cartier, C., additional, Ciarniello, M., additional, Debaille, V., additional, Delsanti, A., additional, D’Hendecourt, L., additional, Füri, E., additional, Groussin, O., additional, Guilbert-Lepoutre, A., additional, Helbert, J., additional, Hoppe, P., additional, Jehin, E., additional, Jorda, L., additional, King, A., additional, Kleine, T., additional, Lamy, P., additional, Lasue, J., additional, Le Guillou, C., additional, Leroux, H., additional, Leya, I., additional, Magna, T., additional, Marrocchi, Y., additional, Morlok, A., additional, Mousis, O., additional, Palomba, E., additional, Piani, L., additional, Quirico, E., additional, Remusat, L., additional, Roskosz, M., additional, Rubin, M., additional, Russell, S., additional, Schönbächler, M., additional, Thomas, N., additional, Villeneuve, J., additional, Vinogradoff, V., additional, Wurz, P., additional, and Zanda, B., additional
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- 2021
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110. Science Motivations for the Future Exploration of Ceres
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Castillo-Rogez, Julie, Scully, Jennifer, Neveu, Marc, Wyrick, Danielle, Thangjam, Guneshwar, Rivkin, Andrew, Sori, Michael, Vinogradoff, Vassilissa, Miller, Kelly, Ermakov, Anon, Hughson, Kynan, Quick, Lynnae, Nathues, Andreas, Sanctis, Maria Cristina De, Ermakov, Anton, De Sanctis, Maria, Ahrens, C, Beck, P, Bland, P, Bose, M, Buczkowski, D, Combe, J.-P, Daly, T, Desch, S, Espley, J, Fries, M, Friesen, S, Glein, C, Hodyss, R, House, C, Jaumann, R, Kite, E, Krohn, K, Landis, M, Li, J.-Y, Mcadam, A, Marchi, S, Meech, K, Melwani Daswani, M, Mccord, T, Neumann, W, O'Brien, D, Otto, K, Palomba, E, Parekh, R, Raymond, C, Roatsch, T, Ruesch, O, Russell, C, Sarid, G, Schmitz, N, Sizemore, H, Stein, N, Stephan, K, Tosi, F, Vernazza, P, Villarreal, M, Williams, D, Yano, H, Zambon, F, Zolensky, M, Mcsween, H, Shi, X, Ip, W.-H, Lucchetti, A, Pajola, Maurizio, Santos-Sanz, P, Ulamec, S, De Léon, J, Barucci, A, Henderson, B, Kaplan, H, Hofmann, A, Ciarniello, M, Neesemann, A, Raponi, A, Jha, D, Graps, A, Formisano, M, Schenk, P, Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), NASA Goddard Institute for Space Studies (GISS), NASA Goddard Space Flight Center (GSFC), Physique des interactions ioniques et moléculaires (PIIM), and Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)
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[SDU]Sciences of the Universe [physics] ,Environmental science ,010501 environmental sciences ,010502 geochemistry & geophysics ,01 natural sciences ,ComputingMilieux_MISCELLANEOUS ,0105 earth and related environmental sciences - Abstract
International audience
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- 2021
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111. Lunar Net—a proposal in response to an ESA M3 call in 2010 for a medium sized mission
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Smith, Alan, Crawford, I. A., Gowen, Robert Anthony, Ambrosi, R., Anand, M., Banerdt, B., Bannister, N., Bowles, N., Braithwaite, C., Brown, P., Chela-Flores, J., Cholinser, T., Church, P., Coates, A. J., Colaprete, T., Collins, G., Collinson, G., Cook, T., Elphic, R., Fraser, G., Gao, Y., Gibson, E., Glotch, T., Grande, M., Griffiths, A., Grygorczuk, J., Gudipati, M., Hagermann, A., Heldmann, J., Hood, L. L., Jones, A. P., Joy, K. H., Khavroshkin, O. B., Klingelhoefer, G., Knapmeyer, M., Kramer, G., Lawrence, D., Marczewski, W., McKenna-Lawlor, S., Miljkovic, K., Narendranath, S., Palomba, E., Phipps, A., Pike, W. T., Pullan, D., Rask, J., Richard, D. T., Seweryn, K., Sheridan, S., Sims, M., Sweeting, M., Swindle, T., Talboys, D., Taylor, L., Teanby, N., Tong, V., Ulamec, S., Wawrzaszek, R., Wieczorek, M., Wilson, L., and Wright, I
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- 2012
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112. The Hera Milani Cubesat Mission
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Topputo, F., Ferrari, F., Franzese, V., Pugliatti, M., Giordano, C., Rizza, A., Bottiglieri, C., Piccolo, F., Calvi, D., Ammirante, G., Stesina, F., Esposito, A., Corpino, S., Sterpone, L., Azimi, S., Visconti, P., Diaz de Cerio Goenaga, R., Corradino, F., Santoni, A., Cardi, M., Kohout, T., Kaspárek, T., Palomba, E., Dirri, F., Longobardo, A., Perez-Lissi, F., Martino, P., and Carnelli, I.
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- 2021
113. The Grain Impact Analyser and Dust Accumulator (GIADA) Experiment for the Rosetta Mission: Design, Performances and First Results
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Colangeli, L., Lopez-Moreno, J. J., Palumbo, P., Rodriguez, J., Cosi, M., Corte, V. Della, Esposito, F., Fulle, M., Herranz, M., Jeronimo, J. M., Lopez-Jimenez, A., Epifani, E. Mazzotta, Morales, R., Moreno, F., Palomba, E., and Rotundi, A.
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- 2007
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114. RYUGU SPECTRAL SURFACE REGIONS VIA UNSUPERVISED MACHINE LEARNING CLASSIFICATION OF NIRS3 DATA
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Palomba, E., D'Amore, M., A. Galiano, A. Zinzi, F. Dirri, A. Longobardo, K. Kitazato, T. Iwata, M. Matsuoka, D. Tair, T. Nakamura, M. Abe, M. Ohtake, S. Matsuura, M. Yoshikawa, T. Saiki, S. Tanaka, T. Okada, Y. Yamamoto, Y. Takei, K. Shirai, N. Hirata, K. Matsumoto, and Y. Tsuda
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remote sensing ,machine learning ,unsupervised classification ,ryuygu - Abstract
The 27th of June 2018 the Japanese Haybusa-2 spacecraft approached the C-type Near Earth asteroid 162173 Ryugu [1]. Haybusa2 is equipped with three remote sensing instruments such i.e. as the Thermal Infrared Imager TIR [2], the NIRS 3 spectrometer [3] and the Optical Navigation Camera-Telescopic (ONC-T) with a wideband and seven narrow band filters [4]. A Lidar instrument [5] allowed to reconstruct the shape model of the asteroid and to measure the altimetry, in order to perform a precise touchdown in sampling the asteroidal regolith. Additionally, by using the robotic landers Minerva-II and Mascot [6], Hayabusa 2 has conducted in situ surface experiments. Ryugu is a top-shaped Cb type asteroid and is covered by a large number of boulders [7,8]. It is one of the darkest object in our Solar System with a quite homogenous composition, including OH-rich materials [7,9]. We found that the NIRS3 data contains sensible variations, possibly linked to geomorphological structures, even though Ryugu surface varies only of few percent in reflectance. Our approach is to exploit the whole spectrometer dataset, to find correlation that could not be foreseen with traditional methods relying on fewer spectral points. Past experience on Mercury data shows that this is a sensible approach, in case of homogeneous featureless targets. We collect NIRS3 data from 20180711_l3a and 20180719_l3a counting around 20k useful spectra, covering almost the whole surface. The data were windowed between 1.8 and 3.1 um to avoid residual thermal effects at higher wavelength, obtaining a data matrix of 20k row x 75 feature or bands. Then we applied a PCA transformation step to retain 10 component or 98% of the total variance, effectively compressing the data from 75 to 10 components. Even though the PCA components per se doesn’t normally have a clear physical meaning, because they mix spectral feature in an unpredictable way, it is interesting to look at the results. The first PCA component has redder slope between 1.8 and 2.5 um, where the second has an inverted redder slope in the same range. The third is spectrally flatter, with an hint of absorption between 2.4 and 2.5 um. The concentration distribution of those three components is also worth investigating: the PCA.0 is anti-correlated with the equatorial bulge and higher in craters, PCA.1 is also higher in crater but not strongly anti-correlated with the equatorial bulge like PCA.0. PCA.3 this is clearly showing a north-south asymmetry. The PCA component order indicate also the importance in explaining total data variance. After that, we apply T-distributed Stochastic Neighbour Embedding (t-SNE)[10]: this converts similarities between data to joint probabilities, minimize the divergence between the joint probabilities of the low-dimensional embedding and the high-dimensional data, typically 2 or 3 dimensions. Essentially, we can feed high dimensional data and get a lower dimension 2D map representation were closer point are also close in the original data space that is easy to visualize. On top of that we partitioned the data point using an Agglomerative Clustering algorithm: starting from all separated data point it clusters the closest together, where closeness is calculated with complete linkage, i.e. the maximum distances between all observations in each pair of classes. Hierarchical algorithm has the nice advantage to show which partition is more stable via a dendrogram plot. In our case, a 6 classes parti tion show as the most suitable one. Results: The surface of Ryugu could be separated in 6 spectral classes, which have a similar spectral trend and are spatially coherent Classes (0,1,5,3) have same trend, but different albedo (from lower to higher reflectance). Class 0 and 1 (C0/C1) are inter-craters terrains, the former mostly in the north , the latter in the south, with minor outcrops in the other hemisphere. C0 is up to -2% darker than Global Mean Reflectance (GMR) and C1 up to +4% brighter. Class 2 (C2) is the darkest class (-5% GMR), and it is found mostly in craters interiors. machine learningClass 3 (C3) is the brightest (+5% GMR) and it is found on the the equatorial bulge, but interrupted by Urashima, Momotaro, Kintaro and Kolobock craters. Class 4 and 5 (C4/C5) are two different trend of intermediate terrains. Those are the closest to GMR with a 2% variation around GMR. C4 is mostly found in the north, where C5 in the south, with substantial outcrops in the other hemisphere. The most interesting difference is that C5 follows the global trend of being slightly bluer than GMR between 1.9 um and 2.5 um, but C4 shows an inverted trend, being redder then GMR. In conclusion, we find an automated approach to extract spatially coherent region on Ryugu surface based only on spectral data using almost the whole NIRS3 spectral range. Those classes show a significant spatial correlation with geomorphological feature and different spectral trends.
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- 2020
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115. A cosmic dust detection suite for the deep space Gateway
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Wozniakiewicz, Penelope J., Bridges, John, Burchell, Mark J., Carey, W., Carpenter, J., Della Corte, V., Dignam, Aishling, Genge, M.J., Hicks, L., Hilchenbach, M., Hillier, Jon K., Kearsley, Anton T., Kruger, H., Merouane, S., Palomba, E., Postberg, Frank, Schmidt, J., Srama, Ralf, Trieloff, Mario, van Ginneken, Matthias, Sterken, Veerle J., Wozniakiewicz, Penelope J., Bridges, John, Burchell, Mark J., Carey, W., Carpenter, J., Della Corte, V., Dignam, Aishling, Genge, M.J., Hicks, L., Hilchenbach, M., Hillier, Jon K., Kearsley, Anton T., Kruger, H., Merouane, S., Palomba, E., Postberg, Frank, Schmidt, J., Srama, Ralf, Trieloff, Mario, van Ginneken, Matthias, and Sterken, Veerle J.
- Abstract
The decade of the 2020s promises to be when humanity returns to space beyond Earth orbit, with several nations trying to place astronauts on the Moon, before going further into deep space. As part of such a programme, NASA and partner organisations, propose to build a Deep Space Gateway in lunar orbit by the mid-2020s. This would be visited regularly and offer a platform for science as well as for human activity. Payloads that can be mounted externally on the Gateway offer the chance to, amongst other scientific goals, monitor and observe the dust flux in the vicinity of the Moon. This paper looks at relevant technologies to measure dust which will impact the exposed surface at high speed. Flux estimates and a model payload of detectors are described. It is predicted that the flux is sufficient to permit studies of cometary vs. asteroidal dust and their composition, and to sample interstellar dust streams. This may also be the last opportunity to measure the natural dust flux near the Moon before the current, relatively pristine environment, is contaminated by debris, as humanity’s interest in the Moon generates increased activity in that vicinity in coming decades.
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- 2021
116. A cosmic dust detection suite for the deep space Gateway
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Wozniakiewicz, P. (P.J.), Bridges, J. (J.), Burchell, M. (M.J.), Carey, W. (W.), Carpenter, J. (J.), Corte, V. D. (V. Della), Dignam, A. (A.), Genge, M. (M.J.), Hicks, L. (L.), Hilchenbach, M. (M.), Hillier, J. (J.), Kearsley, A. (A.T.), Krüger, H. (H.), Merouane, S. (S.), Palomba, E. (E.), Postberg, F. (F.), Schmidt, J. (J.), Srama, R. (R.), Trieloff, M. (M.), van-Ginneken, M. (M.), Sterken, V. (V.J.), Wozniakiewicz, P. (P.J.), Bridges, J. (J.), Burchell, M. (M.J.), Carey, W. (W.), Carpenter, J. (J.), Corte, V. D. (V. Della), Dignam, A. (A.), Genge, M. (M.J.), Hicks, L. (L.), Hilchenbach, M. (M.), Hillier, J. (J.), Kearsley, A. (A.T.), Krüger, H. (H.), Merouane, S. (S.), Palomba, E. (E.), Postberg, F. (F.), Schmidt, J. (J.), Srama, R. (R.), Trieloff, M. (M.), van-Ginneken, M. (M.), and Sterken, V. (V.J.)
- Abstract
The decade of the 2020s promises to be when humanity returns to space beyond Earth orbit, with several nations trying to place astronauts on the Moon, before going further into deep space. As part of such a programme, NASA and partner organisations, propose to build a Deep Space Gateway in lunar orbit by the mid-2020s. This would be visited regularly and offer a platform for science as well as for human activity. Payloads that can be mounted externally on the Gateway offer the chance to, amongst other scientific goals, monitor and observe the dust flux in the vicinity of the Moon. This paper looks at relevant technologies to measure dust which will impact the exposed surface at high speed. Flux estimates and a model payload of detectors are described. It is predicted that the flux is sufficient to permit studies of cometary vs. asteroidal dust and their composition, and to sample interstellar dust streams. This may also be the last opportunity to measure the natural dust flux near the Moon before the current, relatively pristine environment, is contaminated by debris, as humanity’s interest in the Moon generates increased activity in that vicinity in coming decades.
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- 2021
117. Vesta Evolution from Surface Mineralogy: Mafic and Ultramafic Mineral Distribution
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DeSanctis, M. C, Ammannito, E, Palomba, E, Longobardo, A, Mittlefehldt, D. W, McSween, H. Y, Marchi, S, Capria, M. T, Capaccioni, F, Frigeri, A, Pieters, C. M, Ruesch, O, Tosi, F, Zambon, F, Hiesinger, H, Magni, G, McFadden, L. A, Raymond, C. A, Russell, C. T, and Sunshine, J. M
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Lunar And Planetary Science And Exploration - Abstract
Vesta is the only intact, differentiated, rocky protoplanet and it is the parent body of HED meterorites. Howardite, eucrite and diogenite (HED) meteorites represent regolith, basaltic-crust, lower-crust and possibly ultramafic-mantle samples of asteroid Vesta. Only a few of these meteorites, the orthopyroxene-rich diogenites, contain olivine, a mineral that is a major component of the mantles of differentiated bodies, including Vesta. The HED parent body experienced complex igneous processes that are not yet fully understood and olivine and diogenite distribution is a key measurement to understand Vesta evolution. Here we report on the distribution of olivine and its constraints on vestan evolution models.
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- 2014
118. Global View of the Bright Material on Vesta
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Zambon, F, DeSanctis, C, Schroeder, S, Tosi, F, Li, J.-Y, Longobardo, A, Ammannito, E, Blewett, D. T, Palomba, E, Capaccioni, F, Frigeri, A, Capria, M. T, Fonte, S, Mittlefehldt, D. W, Nathues, A, Pieters, C, Russell, C. T, and Raymond, C. A
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Lunar And Planetary Science And Exploration - Abstract
At 525 km in mean diameter, Vesta is the second-most massive and one of the brightest asteroids of the main-belt. Here we give a global view of the bright material (BM) units on Vesta. We classified the BMs according to the normal visual albedo. The global albedo map of Vesta allows to be divided the surface into three principal types of terrains: bright regions, dark regions and intermediate regions. The distribution of bright regions is not uniform. The mid-southern latitudes contain the most bright areas, while the northern hemisphere is poor in bright regions. The analysis of the spectral parameters and the normal visual albedo show a dependence between albedo and the strength (depth) of ferrous iron absorption bands, strong bands correspond with high albedo units. Vesta's average albedo is 0.38, but there are bright material whose albedo can exceed 0.50. Only the E-Type asteroids have albedos comparable to those of the BMs on Vesta. The Dawn mission observed a large fraction of Vesta's surface at high spatial resolution, allowing a detailed study of the morphology and mineralogy of it. In particular, reflectance spectra provided by the Visible and InfraRed spectrometer (VIR), confirmed that Vesta's mineralogy is dominated by pyroxenes. All Vesta spectra show two strong absorption bands at approx 0.9 and 1.9 micron, typical of the pyroxenes and associated with the howardite, eucrite and diogenite (HED) meteorites.
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- 2014
119. Albedo and photometric study of Mars with the Planetary Fourier Spectrometer on-board the Mars Express mission
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Esposito, F., Giuranna, M., Maturilli, A., Palomba, E., Colangeli, L., and Formisano, V.
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Mars (Planet) -- Observations ,Photometry -- Usage ,Mars (Planet) -- Atmosphere ,Mars (Planet) -- Environmental aspects ,Astronomy ,Earth sciences - Abstract
To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.icarus.2006.08.028 Byline: F. Esposito (a), M. Giuranna (b), A. Maturilli (b), E. Palomba (b), L. Colangeli (a), V. Formisano (b) Keywords: Mars; surface; Photometry; Infrared observations Abstract: The Short Wavelength Channel of the Planetary Fourier Spectrometer (PFS) covers the 8333-1750 cm.sup.-1 (1.2-5.7 [mu]m) spectral range, that is well suited to study the reflectance properties of the martian soil. These properties vary with time due to the dust dynamics in the martian environment. Wind can blow off dust exposing soil and fresh rocks and can support grain mobility inducing local dust settling. We have analyzed PFS data from January 2004 to April 2005. A detailed photometric study of the radiance acquired from the planet has been performed in order to compare correctly measurements obtained at different viewing geometries and to produce a mosaic image of the planet. The results show good agreement with data from the Thermal Emission Spectrometer (on-board NASA Mars Global Surveyor orbiter), although some variations are observed. Some albedo changes could be due to small to medium scale dust storms. A very accurate estimation of the limb-darkening parameter has been computed from the analyzed data. The obtained values are compared with a surface roughness and a thermal inertia map in order to assess the relation between the limb-darkening parameter and the physical properties of surface. Author Affiliation: (a) INAF - Osservatorio Astronomico di Capodimonte (INAF-OAC), Via Moiariello 16, 80131 Napoli, Italy (b) INAF - Istituto di Fisica dello Spazio Interplanetario INAF-IFSI, Via del Fosso del Cavaliere 100, 00133 Roma, Italy Article History: Received 2 February 2006; Revised 25 August 2006
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- 2007
120. A set of laboratory analogue materials for the MERTIS instrument on the ESA BepiColombo mission to Mercury
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Helbert, J., Moroz, L.V., Maturilli, A., Bischoff, A., Warell, J., Sprague, A., and Palomba, E.
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- 2007
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121. GIADA: The Grain Impact Analyser and Dust Accumulator for the Rosetta space mission
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Colangeli, L., Lopez Moreno, J.J., Palumbo, P., Rodriguez, J., Bussoletti, E., Della Corte, V., Esposito, F., Herranz, M., Jerónimo, J.M., Lopez-Jimenez, A., Epifani, E. Mazzotta, Morales, R., Palomba, E., Rotundi, A., and Vergara, S.
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- 2007
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122. The planetary fourier spectrometer (PFS) onboard the European Venus Express mission
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Formisano, V., Angrilli, F., Arnold, G., Atreya, S., Baines, K.H., Bellucci, G., Bezard, B., Billebaud, F., Biondi, D., Blecka, M.I., Colangeli, L., Comolli, L., Crisp, D., D’Amore, M., Encrenaz, T., Ekonomov, A., Esposito, F., Fiorenza, C., Fonti, S., Giuranna, M., Grassi, D., Grieger, B., Grigoriev, A., Helbert, J., Hirsch, H., Ignatiev, N., Jurewicz, A., Khatuntsev, I., Lebonnois, S., Lellouch, E., Mattana, A., Maturilli, A., Mencarelli, E., Michalska, M., Lopez Moreno, J., Moshkin, B., Nespoli, F., Nikolsky, Yu., Nuccilli, F., Orleanski, P., Palomba, E., Piccioni, G., Rataj, M., Rinaldi, G., Rossi, M., Saggin, B., Stam, D., Titov, D., Visconti, G., and Zasova, L.
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- 2006
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123. The Grain Impact Analyser and Dust Accumulator (GIADA) Experiment for the Rosetta Mission: Design, Performances and Current Results
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Colangeli, L., primary, Moreno, J. J. Lopez, additional, Palumbo, P., additional, Rodriguez, J., additional, Aronica, A., additional, Bussoletti, E., additional, Corte, V. Della, additional, Esposito, F., additional, Fulle, M., additional, Herranz, M., additional, Jerónimo, J.M., additional, Lopez-Jimenez, A., additional, Molina, A., additional, Epifani, E. Mazzotta, additional, Morales, R., additional, Palomba, E., additional, Rodrigo, R., additional, and Rotundi, A., additional
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- 2009
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124. Thermal Analysis of Unusual Local-scale Features on the Surface of Vesta
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Tosi, F, Capria, M. T, DeSanctis, M. C, Capaccioni, F, Palomba, E, Zambon, F, Ammannito, E, Blewett, D. T, Combe, J.-Ph, Denevi, B. W, Li, J.-Y, Mittlefehldt, D. W, Palmer, E, Sunshine, J. M, Titus, T. N, Raymond, C. A, and Russell, C. T
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Astrophysics - Abstract
At 525 km in mean diameter, Vesta is the second-most massive object in the main asteroid belt of our Solar System. At all scales, pyroxene absorptions are the most prominent spectral features on Vesta and overall, Vesta mineralogy indicates a complex magmatic evolution that led to a differentiated crust and mantle [1]. The thermal behavior of areas of unusual albedo seen on the surface at the local scale can be related to physical properties that can provide information about the origin of those materials. Dawn's Visible and Infrared Mapping Spectrometer (VIR) [2] hyperspectral images are routinely used, by means of temperature-retrieval algorithms, to compute surface temperatures along with spectral emissivities. Here we present temperature maps of several local-scale features of Vesta that were observed by Dawn under different illumination conditions and different local solar times.
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- 2013
125. Mesosiderites on Vesta: A Hyperspectral VIS-NIR Investigation
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Palomba, E, Longobardo, A, DeSanctis, M. C, Mittlefehldt, D. W, Ammannito, E, Capaccioni, F, Capria, M. T, Frigeri, A, Tosi, F, Zambon, F, Russell, C. T, and Raymond, C. A
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Geophysics - Abstract
The discussion about the mesosiderite origin is an open issue since several years. Mesosiderites are mixtures of silicate mineral fragments or clasts, embedded in a FeNi metal matrix. Silicates are very similar in mineralogy and texture to howardites [1]. This led some scientists to conclude that mesosiderites could come from the same parent parent asteroid of the howardite, eucrite and diogenite (HED) meteorites [2, 3]. Other studies found a number of differences between HEDs and mesosiderite silicates that could be explained only by separate parent asteroids [4]. Recently, high precision oxygen isotope measurements of m esosiderites silicate fraction were found to be isotopically identical to the HEDs, requiring common parent body, i.e. 4 Vesta [5]. Another important element in favor of a common origin was given by the identification of a centimeter-sized mesosiderite clast in a howardite (Dar al Gani 779): a metal-rich inclusion with fragments of olivine, anorthite, and orthopyroxene plus minor amounts of chromite, tridymite, and troilite [6]. The Dawn mission with its instruments, the Infrared Mapping Spectrometer (VIR) [7], the Framing Camera [8] and the Gamma-Ray and Neutron Detector (GRaND) [9] confirmed that Vesta has a composition fully compatible with HED meteorites [10]. We investigate here the possibility to discern mesosiderite rich locations on the surface of Vesta by means of hyperspectral IR images.
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- 2013
126. Dark material on Vesta from the infall of carbonaceous volatile-rich material
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McCord, T. B., Li, J.-Y., Combe, J.-P., McSween, H. Y., Jaumann, R., Reddy, V., Tosi, F., Williams, D. A., Blewett, D. T., Turrini, D., Palomba, E., Pieters, C. M., De Sanctis, M. C., Ammannito, E., Capria, M. T., Le Corre, L., Longobardo, A., Nathues, A., Mittlefehldt, D. W., Schröder, S. E., Hiesinger, H., Beck, A. W., Capaccioni, F., Carsenty, U., Keller, H. U., Denevi, B. W., Sunshine, J. M., Raymond, C. A., and Russell, C. T.
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- 2012
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127. Mineralogical Composition of the Different Types of Bright Deposits on Vesta
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Zambon, F, Capaccioni, F, DeSanctis, M. C, Ammannito, E, Li, J.-Y, Longobardo, A, Mittlefehldt, D. W, Palomba, E, Pieters, C. M, Schroeder, S. E, Tosi, F, Hiesinger, H, Blewett, D. T, Russell, C. T, Raymond, C. A, Capria, M. T, Carraro, F, Fonte, S, Frigeri, A, and Magni, G
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Geophysics - Abstract
VIR-MS, Dawn's Visible and Infrared Mapping Spectrometer, obtained hyperspectral images of a wide part of Vesta's surface at a variety of spatial resolutions [1]. Vesta spectra are similar to those of the howardite-eucrite-diogenite (HED) meteorites. Moreover, they are characterized by the two iron-bearing pyroxene bands at 0.9 (band I) and 1.9 microns (band II). Vesta surface's is dominated by eucrite/howardite with some diogenitic regions situated in the southern hemisphere near the Rheasilvia basin [2]. The surface is heavily craterized and impacts can expose fresh material, thus generating the Bright Material Deposits (BMD) observed within and surrounding certain craters. BMD can be classified into six different types based on their morphological characteristics: Crater Wall/Scarp Material (CWM), Radial Material (RM), Slope Material (SM), Patchy Material (PM), Spot Material (SpM) and Diffuse Plains Material (DPM) [3]. The most widespread BMD are CWM, SM and RM. CWM, SM, RM originate from impacts. CWM is situated on the edge of the craters. Mass wasting from the crater walls and generates the SM, while RM is associated with the ejecta of the craters [4]. BMD are characterized by albedo greater than that of the vestan average, 0.38 [5]. Therefore the different types of deposits present distinct levels of reflectance respect to the Surrounding Regions (SR), in particular: the CWM and SM is approx.40% brighter, the RM is approx.30- 40% brighter; the SpM is about 20-25% brighter and the PM is about 20% brighter. Near the edge of the Rheasilvia basin it is possible to find some extremely bright areas ~80% brighter than the vestan average [6].
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- 2013
128. Spectral investigation of Ceres analogue mixtures: In-depth analysis of crater central peak material (ccp) on Ceres
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Galiano, A., primary, Dirri, F., additional, Palomba, E., additional, Longobardo, A., additional, Schmitt, B., additional, and Beck, P., additional
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- 2020
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129. 67P/Churyumov–Gerasimenko’s dust activity from pre- to post-perihelion as detected by Rosetta/GIADA
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Longobardo, A, primary, Della Corte, V, primary, Rotundi, A, primary, Fulle, M, primary, Rinaldi, G, primary, Formisano, M, primary, Zakharov, V, primary, Ivanovski, S, primary, Mannel, T, primary, Ciarniello, M, primary, Inno, L, primary, Rubin, M, primary, Palomba, E, primary, Cottin, H, primary, Dirri, F, primary, Palumbo, P, primary, Güttler, C, primary, Merouane, S, primary, Tubiana, C, primary, Pestoni, B, primary, and Dionnet, Z, primary
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- 2020
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130. High Thermal Inertia Zones on Ceres From Dawn Data
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Rognini, E., primary, Capria, M. T., additional, Tosi, F., additional, De Sanctis, M. C., additional, Ciarniello, M., additional, Longobardo, A., additional, Carrozzo, F. G., additional, Raponi, A., additional, Frigeri, A., additional, Palomba, E., additional, Fonte, S., additional, Giardino, M., additional, Ammannito, E., additional, Raymond, C. A., additional, and Russell, C. T., additional
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- 2020
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131. Thermal Properties of Unusual Local-Scale Features on Vesta
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Capria, M, DeSanctis, M, Palomba, E, Grassi, D, Capaccioni, F, Ammannito, E, Combe, J, Sunshine, J. M, Titus, T. N, Mittlefehldt, D. W, Li, J, Russell, C. T, and Raymond, C. A
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Astrophysics - Abstract
On Vesta, the thermal behavior of areas of unusual albedo seen at the local scale can be related to physical properties that can provide information about the origin of those materials. We used Dawn s Visible and Infrared Mapping Spectrometer (VIR) hyperspectral cubes to retrieve surface temperatures and emissivities, with high accuracy as long as temperatures are greater than ~180 K. Data acquired in the Survey phase (23 July through 29 August 2011) show several unusual surface features: 1) high-albedo (bright) and low-albedo (dark) material deposits, 2) spectrally distinct ejecta and pitted materials, 3) regions suggesting finer-grained materials. Some of the unusual dark and bright features were reobserved by VIR in the subsequent High-Altitude Mapping Orbit (HAMO) and Low- Altitude Mapping Orbit (LAMO) phases at increased pixel resolution. In this work we present temperature maps and emissivities of several local-scale features that were observed by Dawn under different illumination conditions and different local solar times. Data from VIR's IR channel show that bright regions generally correspond to regions with lower thermal emission, i.e. lower temperature, while dark regions correspond to areas with higher thermal emission, i.e. higher temperature. This behavior confirms that many of the dark appearances in the VIS mainly reflect albedo variations, and not, for example, shadowing. During maximum daily insolation, dark features in the equatorial region may rise to temperatures greater than 270 K, while brightest features stop at roughly 258 K, local solar time being similar. However, pitted materials, showing relatively low reflectance, have significantly lower temperatures, as a result of differences in composition and/or structure (e.g, average grain size of the surface regolith, porosity, etc.). To complement this work, we provide preliminary values of thermal inertia for some bright and dark features.
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- 2012
132. Vesta Mineralogy after Dawn Global Observations
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ChristinaDeSanctis, Maria, Ammannito, E, Capaccioni, F, Cparia, M. T, Carraro, F, Fonte, S, Frigeri, A, Longobardo, A, Marchi, S, Palomba, E, Tosi, F, Zambon, F, Combe, J. P, McCord, T. B, McFadden, L. A, McSween, H, Mittlefehldt, D. W, Pieters, C. M, Jaumann, R, Stephan, K, Raymond, C. A, and Russell, C. T
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Astrophysics - Abstract
The Dawn mission has completed its mapping phases at Vesta and millions of spectra have been acquired by the Visible and InfraRed Mapping Spectrometer, VIR(1). VIR characterizes and maps the mineral distribution on Vesta -strengthening the Vesta HED linkage- and provides new insights into Vesta s formation and evolution(2,3). VIR spectra are dominated by pyroxene absorptions near 0.9 and 2.0 m and large thermal emission beyond 3.5 m. Although almost all surface materials exhibit howardite-like spectra, some large regions can be interpreted to be richer in eucritic (basaltic) material and others richer in diogenititic (Mg-orthopyroxenitic) material. The Rheasilvia basin contains Mg-pyroxene-rich terrains for example. Vesta' s surface shows considerable diversity at local scales. Many bright and dark areas(3,4) are associated with various geological features and show remarkably different morphology. Moreover, VIR detected statistically significant, but weak, variations at 2.8 m that have been interpreted as indicating the presence of OH-bearing phases on the surface(5). The OH distribution is uneven with large regions lacking this absorption feature. Associations of 2.8 m band with morphological structures indicate complex process responsible for OH. Vesta exhibits large spectral variations that often correlate with geological structures, indicating a complex geological and evolutionary history, more similar to that of the terrestrial planets than to other asteroids visited by spacecrafts.
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- 2012
133. Analysis of Temperature Maps of Selected Dawn Data Over the Surface of Vesta
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Tosi, F, Capria, M. T, DeSanctis, M. C, Palomba, E, Grassi, D, Capaccioni, F, Ammannito, E, Combe, J.-Ph, Sunshine, J. M, McCord, T. B, Li, Y.-Y, Titus, T. N, Russell, C. T, Raymond, C. A, Mittlefehldt, D. W, Toplis, M. J, Forni, O, and Sykes, M. V
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Geophysics - Abstract
The thermal behavior of areas of unusual albedo at the surface of Vesta can be related to physical properties that may provide some information about the origin of those materials. Dawn s Visible and Infrared Mapping Spectrometer (VIR) [1] hyperspectral cubes can be used to retrieve surface temperatures. Due to instrumental constraints, high accuracy is obtained only if temperatures are greater than 180 K. Bright and dark surface materials on Vesta are currently investigated by the Dawn team [e.g., 2 and 3 respectively]. Here we present temperature maps of several local-scale features that were observed by Dawn under different illumination conditions and different local solar times.
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- 2012
134. Comparison of Observed Surface Temperatures of 4 Vesta to the KRC Thermal Model
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Titus, T. N, Becker, K. J, Anderson, J. A, Capria, M. T, Tosi, F, DeSanctis, M. C, Palomba, E, Grassi, D, Capaccioni, F, Ammannito, E, Combe, J.-P, McCord, T. B, Li, J.-Y, Russell, C. T, Ryamond, C. A, Mittlefehldt, D, Toplis, M, Forni, O, and Sykes, M. V
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Astronomy - Abstract
In this work, we will compare ob-served temperatures of the surface of Vesta using data acquired by the Dawn [1] Visible and Infrared Map-ping Spectrometer (VIR-MS) [2] during the approach phase to model results from the KRC thermal model. High thermal inertia materials, such as bedrock, resist changes in temperature while temperatures of low thermal inertia material, such as dust, respond quickly to changes in solar insolation. The surface of Vesta is expected to have low to medium thermal inertia values, with the most commonly used value being extremely low at 15 TIU [4]. There are several parameters which affect observed temperatures in addition to thermal inertia: bond albedo, slope, and surface roughness. In addition to these parameters, real surfaces are rarely uniform monoliths that can be described by a single thermal inertia value. Real surfaces are often vertically layered or are mixtures of dust and rock. For Vesta's surface, with temperature extremes ranging from 50 K to 275 K and no atmosphere, even a uniform monolithic surface may have non-uniform thermal inertia due to temperature dependent thermal conductivity.
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- 2012
135. Spectral Characterization of Bright Materials on Vesta
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Capaccioni, Fabrizio, DeSanctis, M. C, Ammannito, E, Li, Jian-Yang, Longobardo, A, Mittlefehldt, David W, Palomba, E, Pieters, C. M, Schroeder, S. E, Tosi, F, Hiesinger, H, Blewett, D. T, Russell, C. T, and Raymond, C. A
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Lunar And Planetary Science And Exploration - Abstract
The surface of Vesta, as observed by the camera and imaging spectrometer onboard the Dawn spacecraft, displays large surface diversity in terms of its geology and mineralogy with noticeably dark and bright areas on the surface often associated with various geological features and showing remarkably different forms. Here we report our initial attempt to spectrally characterize the areas that are distinctively brighter than their surroundings.
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- 2012
136. Vesta and the HED Meteorites: Comparison of Spectral Properties
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Ammannito, E, De Sanctis, M. C, Fonte, S, Magni, G, Capaccioni, F, Tosi, F, Capria, M. T, Blewett, D, Combe, J. P, Farina, M, McCoord, T. B, Mittlefehldt, D. W, Palomba, E, McSween, H, Pieters, C, Sunshine, J, Titus, T. N, Toplis, M, Russell, C. T, and Raymond, C. A
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Astrophysics - Abstract
We present the main results obtained comparing the visible-near infrared (VIS-NIR) spectra Vesta s surface with howardites, eucrites, diogenites (HEDs). HEDs are commonly associated with Vesta based on spectral similarities. Because of such association, much effort is being made to merge the information from HEDs as well as Vestoids with that from Vesta to characterize the lithologic diversity of the surface of this asteroid and to infer clues regarding its thermal history. The Dawn spacecraft, orbiting around Vesta since July 2011, is performing detailed observations of this body and thus improving our knowledge of its properties. Dawn s scientific payload includes an imaging spectrometer, VIR-MS, sensitive to the VIS-NIR spectral range. VIR-MS began acquiring spectra during the approach phase that started in May 2011 and will continue its observations through July 2012 when the spacecraft will depart Vesta to travel to Ceres. The observations are uniformly distributed in latitude and longitude, allowing a global view of Vesta s crustal spectral properties. Using the information provided by VIR spectra, we studied the distribution of the spectral heterogeneities on the surface and used our findings to perform a comparison with HED spectra in the VIS-NIR spectral range searching for analogies and/or incompatibilities. In our analysis, we utilized a method to compare the results obtained at microscopic scale on HED samples and the one obtained at macroscopic scale on the surface of Vesta. The intent of this study is to improve our understanding of the connection between Vesta and the HEDs, which is one of the primary Dawn scientific objectives. Dawn VIR spectra are characterized by pyroxene absorptions and most of the surface materials exhibit howardite-like spectra. However, some large areas can be interpreted to be material richer in diogenite (based on pyroxenes band depths and band centers) and some others like eucrite-rich howardite terrains. In particular, VIR data strongly indicate in the south polar region (Rheasilvia) the presence of Mg-pyroxene-rich terrains. The hypothesis that Vesta is the HED parent body is consistent with, and strengthened by, the geologic and spectral context for pyroxene distribution provided by VIR on Dawn.
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- 2012
137. Spectroscopic Characterization of Mineralogy Across Vesta: Evidence of Different Lithologies
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De Sanotis, M. C, Ammannito, E, Filacchione, G, Capria, M. T, Tosi, F, Capaccioni, F, Zambon, F, Carraro, F, Fonte, S, Frigeri, A, Jaumann, R, Magni, G, Marchi, S, McCord, T. B, McFadden, L. A, McSween, H. Y, Mittlefehldt, D. W, Nathues, A, Palomba, E, Pieters, C. M, Raymond, C. A, Russell, C. T, and Turrini, D
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Geophysics - Abstract
The average spectrum of Vesta, obtained by VIR in the range 0.25-5.1 microns, shows clear evidence of absorption bands due to pyroxenes and thermal emissions beyond 3.5 11m. Vesta shows considerable variability across its surface in terms of spectral reflectance and emission, band depths, bands widths and bands centers, reflecting a complex geological history. Vesta's average spectrum and inferred mineralogy resemble those of howardite meteorites. On a regional scale, significant deviations are seen: the south polar 500km Rheasilvia impact crater has a higher diogenitic component, and equatorial regions show a higher eucritic component. This lithologic distribution, with a concentration of Mg-pyroxenes in the Rheasilvia area, reinforces the hypothesis of a deeper diogenitic crust excavated by the impact that formed the Rheasilvia crater, and an upper eucritic crust, whose remnants are seen in the equatorial region. This scenario has implications for Vesta differentiation, consistent with magma ocean models. However, serial magmatism models could also have concentrated pyroxene cumulates in plutons emplaced within the lower crust
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- 2012
138. Thermal Behaviour of Unusual Local-Scale Surface Features on Vesta
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Tosi, F, Capria, M. T, De Sanctis, M. C, Palomba, E, Grassi, D, Capaccioni, F, Ammannito, E, Combe, J.-Ph, Sunshine, J. M, McCord, T. B, Titus, T. N, Russell, C. T, Raymond, C. A, Mittlefehldt, D. W, Toplis, M. J, Forni, O, and Sykes, M. V
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Astrophysics - Abstract
On Vesta, the region of the infrared spectrum beyond approximately 3.5 micrometers is dominated by the thermal emission of the asteroid's surface, which can be used to determine surface temperature by means of temperature-retrieval algorithms. The thermal behavior of areas of unusual albedo seen at the local scale can be related to physical properties that can provide information about the origin of those materials. Dawn's Visible and Infrared Mapping Spectrometer (VIR) hyperspectral cubes are used to retrieve surface temperatures, with high accuracy as long as temperatures are greater than 180 K. Data acquired in the Survey phase (23 July through 29 August 2011) show several unusual surface features: 1) high-albedo (bright) and low-albedo (dark) material deposits, 2) spectrally distinct ejecta, 3) regions suggesting finer-grained materials. Some of the unusual dark and bright features were re-observed by VIR in the subsequent High-Altitude Mapping Orbit (HAMO) and Low-Altitude Mapping Orbit (LAMO) phases at increased pixel resolution. To calculate surface temperatures, we applied a Bayesian approach to nonlinear inversion based on the Kirchhoff law and the Planck function. These results were cross-checked through application of alternative methods. Here we present temperature maps of several local-scale features that were observed by Dawn under different illumination conditions and different local solar times. Some bright terrains have an overall albedo in the visible as much as 40% brighter than surrounding areas. Data from the IR channel of VIR show that bright regions generally correspond to regions with lower thermal emission, i.e. lower temperature, while dark regions correspond to areas with higher thermal emission, i.e. higher temperature. This behavior confirms that many of the dark appearances in the VIS mainly reflect albedo variations. In particular, it is shown that during maximum daily insolation, dark features in the equatorial region may rise to temperatures greater than 270 K. However, individual features may show different thermal behaviours, as a result of differences in composition and/or structure (e.g, average grain size of the surface regolith, porosity, etc.). To complement the temperature and near-infrared emissivity derived from the infrared spectra, a separate work is devoted to calculate thermal inertia and other thermal properties using theoretical models which solve the heat equation for airless bodies, and model the distribution of temperatures due to surface roughness variations.
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- 2012
139. Characterization of Mineralogy Across Vesta
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De Sanctis, M. C, Ammannito, E, Capria, M. T, Capaccioni, F, Carraro, F, Fonte, S, Frigeri, A, Magni, G, Marchi, S, Palomba, E, Tosi, F, Zambon, F, McCord, T. B, McFadden, L. A, McSween, H, Mittlefehldt, D. W, Pieters, C. M, Raymond, C. A, and Russell, C. T
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Geophysics - Abstract
Dawn VIR spectra are characterized by pyroxene absorptions and no clear evidence for abundant other minerals are observed at the scale of the present measurements. Even though Vesta spectra are dominated by pyroxenes, spectral variation at regional and local scales are evident and distinct color units are identified. Although almost all of the surface materials exhibit spectra like those of howardites, some large units can be interpreted to be material richer in diogenite (based on pyroxenes band depths and band centers) and some others like eucrite-rich howardite units. VIR data strongly indicate that the south polar region (Rheasilvia) has its own spectral characteristics, indicating the presence of Mg-pyroxene-rich terrains (diogenite-like), while the equatorial areas have swallower band depths and average band centers at slightly longer wavelengths, consistent with more eucrite rich materials. Vesta surface shows considerable diversity at smaller scales (tens of km), in terms of spectral reflectance and emission, band depths and slopes. Many bright and dark spots are present on Vesta. Dark spots have low reflectance at visible wavelengths and are spectrally characterized by shallower 1 and 2 micron bands with respect the surrounding terrains. Bright materials have high reflectance and are often spectrally characterized by deep pyroxenes absorption bands. Vesta presents complex geology/topography and the mineral distribution is often correlated with geological and topographical structures. Ejecta from large craters have distinct spectral behaviors, and materials exposed in the craters show distinct spectra on floors and rims. VIR reveals the mineralogical variation of Vesta s crustal stratigraphy on local and global scales. Maps of spectral parameters show surface and subsurface unit compositions in their stratigraphic context. The hypothesis that Vesta is the HED parent body is consistent with, and strengthened by, the geologic and spectral context for pyroxene distribution provided by Dawn.
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- 2012
140. Search for Olivine Spectral Signatures on the Surface of Vesta
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Palomba, E, De Sanctis, M. C, Ammannito, E, Capaccioni, F, Capria, M. T, Farina, M, Frigeri, A, Longobardo, A, Tosi, F, Zambon, F, McSween, H. Y, Mittlefehldt, D. W, Russell, C. T, Raymond, C. A, Sunshine, J, and McCord, T. B
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Geophysics - Abstract
The occurrence of olivines on Vesta were first postulated from traditional petrogenetic models which suggest the formation of olivine as lower crustal cumulates. An indirect confirmation is given by their presence as a minor component in some samples of diogenite meteorites, the harzburgitic diogenites and the dunitic diogenites, and as olivine mineral clasts in howardites. Another indication for this mineral was given by interpretations of groundbased and Hubble Space Telescope observations that suggested the presence of local olivine-bearing units on the surface of Vesta. The VIR instrument onboard the DAWN mission has been mapping Vesta since July 2011. VIR acquired hyperspectral images of Vesta s surface in the wavelength range from 0.25 to 5.1 m during Approach, Survey and High Altitude Mapping (HAMO) orbits that allowed a 2/3 of the entire asteroid surface to be mapped. The VIR operative spectral interval, resolution and coverage is suitable for the detection and mapping of any olivine rich regions that may occur on the Vesta surface. The abundance of olivine in diogenites is typically lower than 10% but some samples richer in olivine are known. However, we do not expect to have extensive exposures of olivine-rich material on Vesta. Moreover, the partial overlap of olivine and pyroxene spectral signatures will make olivine difficult to detect. Different spectral parameters have been used to map olivine on extraterrestrial bodies, and here we discuss the different approaches used, and develop new ones specifically for Vesta. Our new methods are based on combinations of the spectral parameters relative to the 1 and 2 micron bands (the most prominent spectral features of Vesta surface in the visible and the infrared), such as band center locations, band depths, band areas, band area ratios. Before the direct application to the VIR data, the efficiency of each approach is evaluated by means of analysis of laboratory spectra of HED meteorites, pyroxenes, olivines and their mixtures.
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- 2012
141. Overview of Vesta Mineralogy Diversity
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DeSanctis, M. C, Ammannito, E, Capria, M. T, Capaccioni, F, Carraro, F, Fonte, S, Frigeri, A, Magni, G, Marchi, S, Palomba, E, Tosi, F, Zambon, F, McCord, T. B, McFadden, L. A, McSween, H, Mittlefehldt, D. W, Pieters, C. M, Raymond, C. A, and Russell, C. T
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Geophysics - Abstract
4 Vesta is known to have a surface of basaltic material through visible/near-infrared reflectance spectroscopy (1). Vesta s spectrum has strong absorption features centered near 0.9 and 1.9 m, indicative of Fe-bearing pyroxenes. The spectra of HED (howardite, eucrite and diogenite) meteorites have similar features (1). This led to the hypothesis that Vesta was the parent body of the HED clan (2,3) and the discovery of a dynamical Vesta family of asteroids (Vestoids) provides a further link between Vesta and HEDs (4). Data from the Dawn VIR (Visible InfraRed mapping Spectrometer) (5) characterize and map the mineral distribution on Vesta, strengthen the Vesta - HED linkage and provide new insights into Vesta s formation and evolution.
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- 2012
142. Macro vs. Micro: Relating the Spectral Properties of Vesta and the HED Meteorite
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Ammannito, E, Coradini, A, DeSanctis, M. C, Filacchione, G, Fonte, S, Magni, G, Capaccioni, F, Capria, M. T, Tosi, F, Blewett, D. T, Combe, J. P, Farina, M, Mittlefehldt, D. W, Palomba, E, Pieters, C. M, Sunshine, J, Titus, T. N, Toplis, M. J, Russell, C. T, Raymond, C. A, and McSween, H. Y., Jr
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Astronomy - Abstract
We present the main results obtained comparing the visible-near infrared (VIS-NIR) spectra Vesta s surface with howardites, eucrites, diogenites (HED). HEDs are commonly associated with Vesta s composition based on spectral similarities. Because of such association, much effort is being made to merge the information from HEDs as well as Vestoids - with that from Vesta to characterize the lithologic diversity of the surface of this asteroid and to infer clues regarding its thermal history. However, while the HEDs are a class of meteorites well studied in the laboratory, the only spectral data available for Vesta until now were telescopic observations which are limited in terms of observation conditions, spatial resolution and Signal to Noise Ratio. The Dawn spacecraft, orbiting around Vesta since July 2011, is performing detailed observations of this body and thus improving our knowledge of its properties. Dawn s scientific payload includes an imaging spectrometer, VIR-MS, sensitive to the VIS-NIR spectral range. VIR-MS began acquiring spectra during the approach phase started in May 2011 and will continue its observations through July 2012 when the spacecraft will depart Vesta to travel to Ceres. The VIR-MS spatial resolution depends upon the mission phase (approach, survey, high altitude, low altitude). However, spectra acquired by VIR-MS have already exceeded the spatial resolution of ground-based telescopic observations, with resolution in the approach phase ranging from 2.5 up to 0.8 km/pixel. Moreover, the observations are uniformly distributed in latitude and longitude allowing us to have a global view of Vesta s crust spectral properties. Using the information provided by VIR spectra, we studied the distribution of the spectral heterogeneities on the surface and we used our findings to perform a comparison with HEDs spectra in the VIS-NIR spectral range searching for analogies and/or incompatibilities. In our analysis, we focused on a method to compare the results obtained at microscopic scale on HEDs samples and the one obtained at macroscopic scale on the surface of Vesta. Finally, we discuss our results in the context of vestan thermal history. The intent of this study is to improve our understanding of the connection between Vesta and the HED samples, which is one of the primary Dawn scientific objectives. This work is supported by an Italian Space Agency (ASI) grant and by NASA through the Dawn project and a Dawn at Vesta Participating Scientist grant.
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- 2011
143. Vesta Mineralogy: VIR maps Vesta's surface
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Coradina, A, DeSanctis, M, Ammannito, E, Capaccioni, F, Capria, T, Carraro, F, Cartacci, M, Filacchione, G, Fonte, S, Magni, G, Noschese, R, Tosi, F, Barucci, A, Federico, C, Frigeri, A, Fulchigoni, M, Langevin, Y, Marchi, S, Palomba, E, Turrini, D, McCord, T, McFadden, L. A, Pieters, C, Raymond, C. A, and Russell, C. T
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Geophysics - Abstract
The Dawn mission will have completed Survey orbit around 4 Vesta by the end of August 2011. We present a preliminary analysis of data acquired by the Visual and InfraRed Spectrometer (VIR) to map Vesta mineralogy. Thermal properties and mineralogical data are combined to provide constraints on Vesta's formation and thermal evolution. delivery of exogenic materials, space weathering processes, and origin of the howardite. eucrite, and diogenite (HED) meteorites.
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- 2011
144. The Planetary Fourier Spectrometer (PFS) onboard the European Mars Express mission
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Formisano, V., Angrilli, F., Arnold, G., Atreya, S., Bianchini, G., Biondi, D., Blanco, A., Blecka, M.I., Coradini, A., Colangeli, L., Ekonomov, A., Esposito, F., Fonti, S., Giuranna, M., Grassi, D., Gnedykh, V., Grigoriev, A., Hansen, G., Hirsh, H., Khatuntsev, I., Kiselev, A., Ignatiev, N., Jurewicz, A., Lellouch, E., Lopez Moreno, J., Marten, A., Mattana, A., Maturilli, A., Mencarelli, E., Michalska, M., Moroz, V., Moshkin, B., Nespoli, F., Nikolsky, Y., Orfei, R., Orleanski, P., Orofino, V., Palomba, E., Patsaev, D., Piccioni, G., Rataj, M., Rodrigo, R., Rodriguez, J., Rossi, M., Saggin, B., Titov, D., and Zasova, L.
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- 2005
- Full Text
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145. Spectral investigation of bright and dark areas on Ryugu surface
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Palomba, E., Galiano, A., Mario, D’Amore, Zinzi, A., Dirri, F., Longobardo, A., Kitazato, K., Iwata, T., Abe, M., Ohtake, M., Matsuura, S., Tsuda, Y., Watanabe, S., Yoshikawa, M., Saiki, T., Tanaka, S., Okada, T., Yamamoto, Y., Takei, Y., Shirai, K., Hirata, N., Matsumoto, K., Matsuoka, M., Hiroi, T., Takir, D., Nakamura, T., and Angrisani, Marianna
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- 2020
146. A Global View of the Near-Infrared Reflectance Properties of Ryugu as Seen by the NIRS3 Spectrometer on Hayabusa2
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Milliken, R. E., Kitazato, K., Riu, L., Iwata, T., Abe, M., Ohtake, M., Matsuura, S., Nakauchi, Y., Nakamura, T., Matsuoka, M., Senshu, H., Hirata, N., Hiroi, T., Pilorget, C., Brunetto, R., Poulet, F., Bibring, J.-P., Takir, D., Domingue, D. L., Vilas, F., Barucci, M. A., Perna, D., Palomba, E., Galiano, A., Tsumura, K., Osawa, T., Komatsu, M., Nakato, A., Arai, T., Takato, N., Matsunaga, T., Takagi, Y., Matsumoto, K., Kouyama, T., Yokota, Y., Tatsumi, E., Sakatani, N., Yamamoto, Y., Okada, T., Sugita, S., Honda, R., Motora, T., Kameda, S., Sawada, H., Honda, C., Yamada, M., Suzuki, H., Yoshioka, K., Hayakawa, M., Ogawa, K., Cho, Y., Takei, Y., SAIKI, T., Nakazawa, S., Tanaka, S., Yoshikawa, M., Watanabe, S., Tsuda, Y., Brunetto, Rosario, Institut d'astrophysique spatiale (IAS), and Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
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[SDU] Sciences of the Universe [physics] ,[SDU]Sciences of the Universe [physics] - Abstract
International audience; Global and sampling site spectral properties of Ryugu as seen by NIRS3 spectrometer are discussed.
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- 2020
147. Characterization of the Ryugu surface by means of the variability of the nirs3 spectral slope
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Anna, Galiano, Palomba, E., Mario, D’Amore, Angelo, Zinzi, Dirri, F., Longobardo, A., Takahiro, Iwata, Masanao, Abe, Makiko, Ohtake, Shuji, Matsuura, Kwansai, Gakuin, Yuichi, Tsuda, Sei-ichiro, Watanabe, Makoto, Yoshikawa, Takanao, Saiki, Satoshi, Tanaka, Tatsuaki, Okada, Yukio, Yamamoto, Yoh, Takei, Kei, Shirai, Hirata, N., Naru, Hirata, Koji, Matsumoto, Moe, Matsuoka, Takahiro, Hiroi, Takir, D., Takashi, Nakamura, and Angrisani, Marianna
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- 2020
148. Spectral Characteristics of Asteroid (162173) Ryugu with Hayabusa2 NIRS3
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Takir, D., Kitazato, K., Milliken, R. E., Iwata, T., Abe, M., Ohtake, M., Matsuura, S., Nakauchi, Y., Nakamura, T., Matsuoka, M., Senshu, H., Hiroi, T., Pilorget, C., Brunetto, R., Poulet, F., Riu, L., Bibring, J.-P., Domingue, D. L., Vilas, F., Barucci, M. A., Perna, D., Palomba, E., Galiano, A., Tsumura, K., Osawa, T., Komatsu, M., Nakato, A., Arai, T., Takato, N., Matsunaga, T., Takagi, Y., Matsumoto, K., Kouyama, T., Yokota, Y., Tatsumi, E., Sakatani, N., Yamamoto, Y., Okada, T., Sugita, S., Honda, R., Morota, T., Kameda, S., Sawada, H., Honda, C., Yamada, M., Suzuki, H., Yoshioka, K., Hayakawa, M., Ogawa, K., Cho, Y., Shirai, K., Shimaki, Y., Hirata, N., Yamaguchi, A., Ogawa, N., Terui, F., Yamaguchi, T., Takei, Y., SAIKI, T., Nakazawa, S., Tanaka, S., Yoshikawa, M., Watanabe, S., Tsuda, Y., Department of Geological Sciences [Providence], Brown University, Department of Environmental and Materials Engineering, Nagoya Institute, Graduate School of Science and Engineering, Tokyo Metropolitan University [Tokyo] (TMU), RIKEN Nishina Center for Accelerator-Based Science [Wako] (RIKEN RNC), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), Tsukuba Space Center (TKSC), Japan Aerospace Exploration Agency [Tokyo] (JAXA), Division of Geological and Planetary Sciences [Pasadena], California Institute of Technology (CALTECH), Institut d'astrophysique spatiale (IAS), Université Paris-Sud - Paris 11 (UP11)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), GEOMA, Université de Vigo, Universidade de Vigo, Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA (UMR_8109)), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Istituto di Astrofisica e Planetologia Spaziali - INAF (IAPS), Istituto Nazionale di Astrofisica (INAF), Department of Physics, Tokyo, Waseda University, IHP Microelctronics, Institute of Ecology, Tallinn University-Tallinn University, Institute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency [Sagamihara] (JAXA), Department of Applied Physics, The University of Tokyo (UTokyo), University of Electro-Communications [Tokyo] (UEC), Stanford Synchrotron Radiation Lightsource (SSRL SLAC), SLAC National Accelerator Laboratory (SLAC), Stanford University-Stanford University, Antarctic Meteorite Research Center, National Institute of Polar Research [Tokyo] (NiPR), Advanced Materials Institute and Department of Chemistry, Fukuoka University, Department of Electronics and Electrical Engineering, Faculty of Science and Technology, Keio University, Institute for Research on Earth Evolution [Yokosuka] (IFREE), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Plasma Research Center, Université de Tsukuba = University of Tsukuba, Tokyo Metropolitan University [Tokyo], RIKEN Nishina Center (for Accelerator-Based Science), Universidate de Vigo, Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), The University of Tokyo, Stanford Synchrotron Radiation Laboratory (SSRL), Stanford Linear Accelerator Center, and University of Tsukuba
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[SDU.ASTR.EP]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP] - Abstract
International audience; We report recent results of the surface composition of asteroid 162173 Ryugu from Hayabusa2 near-infrared spectroscopy .
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- 2019
149. OKEANOS - A Solar Power Sail Mission to a Jupiter Trojan Asteroid and Its Updated Science Mission Proposal
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Okada, T., Iwata, T., Matsumoto, J., Chujo, Toshihiro, Kebukawa, Y., Ito, M., Aoki, J., Kawai, Y., Yokota, S., Saito, S., Terada, K., Toyoda, M., Yabuta, H., Yurimoto, H., Matsuura, S., Tsumura, K., Yoneyoku, D., Mihara, T., Matsuoka, A., Nomura, R., Yano, H., Hirai, T., Nakamura, R., Ulamec, Stephan, Jaumann, Ralf, Bibring, J., Grand, N., Szopa, C., Palomba, E., Helbert, Jörn, Herique, A., Kumamoto, A., Grott, Matthias, Auster, H. U., Klingelhöfer, G., Yoshida, F., Yoshikawa, M., Matsushita, M, Saiki, T., Kato, H, Mori, O., and Kawaguchi, J.
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Planetengeologie ,Planetenphysik ,Leitungsbereich PF ,Trojaner ,Solar Sail ,Asteroiden ,Nutzerzentrum für Weltraumexperimente (MUSC) - Abstract
The OKEANOS (Oversize Kite-craft for Exploration and AstroNautics in the Outer Solar system) is a mission under study to rendezvous with and land on a Jupiter Trojan asteroid [1]. It is primarily an engineering mission to demonstrate advanced technologies to explore the outer solar system with a small to medium sized spacecraft and limited cost, but also to conduct key science for understanding the origin and evolution of the solar system and life by performing in-depth scientific measurements. The concept is complementary to the Lucy mission [2], multi-flybys to six Jupiter Trojans, that was selected as a NASA Discovery class mission, aiming at understanding of variation and diversity of Jupiter Trojans. The OKEANOS is jointly studied between engineers and scientists both from Japan and Europe [3]. The OKEANOS is one of two candidates for the next medium class space science mission in Japan, waiting for the final selection. The scientific objectives, the latest science mission scenarios and the strawman payloads are described here.
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- 2019
150. SIMBIO-SYS:Scientific Cameras and Spectrometer for the BepiColombo Mission
- Author
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Cremonese, G., Capaccioni, F., Capria, M.T., Doressoundiram, A., Palumbo, P., Vincendon, M., Massironi, M., Debei, S., Zusi, M., Altieri, F., Amoroso, M., Aroldi, G., Baroni, M., Barucci, A., Bellucci, G., Benkhoff, J., Besse, S., Bettanini, C., Blecka, M., Borrelli, D., Brucato, J.R., Carli, C., Carlier, V., Cerroni, P., Cicchetti, A., Colangeli, L., Dami, M., Da Deppo, V., Della Corte, V., De Sanctis, M.C., Erard, S., Esposito, F., Fantinel, D., Ferranti, L., Ferri, F., Ficai Veltroni, I., Filacchione, G., Flamini, E., Forlani, G., Fornasier, S., Forni, O., Fulchignoni, M., Galluzzi, V., Gwinner, K., Ip, W., Jorda, L., Langevin, Y., Lara, L., Leblanc, F., Leyrat, C., Li, Y., Marchi, S., Marinangeli, L., Marzari, F., Mazzotta Epifani, E., Mendillo, M., Mennella, V., Mugnuolo, R., Muinonen, K., Naletto, G., Noschese, R., Palomba, E., Paolinetti, R., Perna, D., Piccioni, G., Politi, R., Poulet, F., Ragazzoni, R., Re, C., Rossi, M., Rotundi, A., Salemi, G., Sgavetti, M., Simioni, E., Thomas, N., Tommasi, L., Turella, A., Van Hoolst, T., Wilson, L., Zambon, F., Aboudan, A., Barraud, O., Bott, N., Borin, P., Colombatti, G., El Yazidi, M., Ferrari, S., Flahaut, J., Giacomini, L., Guzzetta, L., Lucchetti, A., Martellato, E., Pajola, M., Slemer, A., Tognon, G., Turrini, D., Cremonese, G., Capaccioni, F., Capria, M.T., Doressoundiram, A., Palumbo, P., Vincendon, M., Massironi, M., Debei, S., Zusi, M., Altieri, F., Amoroso, M., Aroldi, G., Baroni, M., Barucci, A., Bellucci, G., Benkhoff, J., Besse, S., Bettanini, C., Blecka, M., Borrelli, D., Brucato, J.R., Carli, C., Carlier, V., Cerroni, P., Cicchetti, A., Colangeli, L., Dami, M., Da Deppo, V., Della Corte, V., De Sanctis, M.C., Erard, S., Esposito, F., Fantinel, D., Ferranti, L., Ferri, F., Ficai Veltroni, I., Filacchione, G., Flamini, E., Forlani, G., Fornasier, S., Forni, O., Fulchignoni, M., Galluzzi, V., Gwinner, K., Ip, W., Jorda, L., Langevin, Y., Lara, L., Leblanc, F., Leyrat, C., Li, Y., Marchi, S., Marinangeli, L., Marzari, F., Mazzotta Epifani, E., Mendillo, M., Mennella, V., Mugnuolo, R., Muinonen, K., Naletto, G., Noschese, R., Palomba, E., Paolinetti, R., Perna, D., Piccioni, G., Politi, R., Poulet, F., Ragazzoni, R., Re, C., Rossi, M., Rotundi, A., Salemi, G., Sgavetti, M., Simioni, E., Thomas, N., Tommasi, L., Turella, A., Van Hoolst, T., Wilson, L., Zambon, F., Aboudan, A., Barraud, O., Bott, N., Borin, P., Colombatti, G., El Yazidi, M., Ferrari, S., Flahaut, J., Giacomini, L., Guzzetta, L., Lucchetti, A., Martellato, E., Pajola, M., Slemer, A., Tognon, G., and Turrini, D.
- Abstract
The SIMBIO-SYS (Spectrometer and Imaging for MPO BepiColombo Integrated Observatory SYStem) is a complex instrument suite part of the scientific payload of the Mercury Planetary Orbiter for the BepiColombo mission, the last of the cornerstone missions of the European Space Agency (ESA) Horizon + science program. The SIMBIO-SYS instrument will provide all the science imaging capability of the BepiColombo MPO spacecraft. It consists of three channels: the STereo imaging Channel (STC), with a broad spectral band in the 400-950 nm range and medium spatial resolution (at best 58 m/px), that will provide Digital Terrain Model of the entire surface of the planet with an accuracy better than 80 m; the High Resolution Imaging Channel (HRIC), with broad spectral bands in the 400-900 nm range and high spatial resolution (at best 6 m/px), that will provide high-resolution images of about 20% of the surface, and the Visible and near-Infrared Hyperspectral Imaging channel (VIHI), with high spectral resolution (6 nm at finest) in the 400-2000 nm range and spatial resolution reaching 120 m/px, it will provide global coverage at 480 m/px with the spectral information, assuming the first orbit around Mercury with periherm at 480 km from the surface. SIMBIO-SYS will provide high-resolution images, the Digital Terrain Model of the entire surface, and the surface composition using a wide spectral range, as for instance detecting sulphides or material derived by sulphur and carbon oxidation, at resolutions and coverage higher than the MESSENGER mission with a full co-alignment of the three channels. All the data that will be acquired will allow to cover a wide range of scientific objectives, from the surface processes and cartography up to the internal structure, contributing to the libration experiment, and the surface-exosphere interaction. The global 3D and spectral mapping will allow to study the morphology and the composition of any surface feature. In this work, we describe the on
- Published
- 2020
Catalog
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