Výsledky vyhledávání - "European Space Agency (ESA)"

Determination of Phase Center Corrections for Galileo Signals

Autor: Kröger, Johannes, Breva, Yannick, Kersten, Tobias, Schön, Steffen, European Space Agency (ESA)

Publikováno v: 7th International Colloquium on Scientific and Fundamental Aspects of GNSS

GNSS are widely used for positioning, navigation and timing (PVT). The quality of results depends on the antenna in use and the capability to take antenna specific effects into account. The most prominent corrections are the direction dependent phase

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5624cf0a6470bccc688595512e9e6f93
https://www.repo.uni-hannover.de/handle/123456789/5286

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Compact Planar Beamformer Using Multiple Continuous Parallel-Plate Waveguide Delay Lenses

Autor: Francois Doucet, Nelson J. G. Fonseca, Etienne Girard, Xavier Morvan, Ronan Sauleau

Publikováno v: IEEE Antennas and Wireless Propagation Letters
IEEE Antennas and Wireless Propagation Letters, 2022, 21 (11), pp.2229-2233. ⟨10.1109/LAWP.2022.3184395⟩

International audience; A compact planar beamformer using multiple shaped continuous parallel-plate waveguide delay lenses is proposed in this letter. The original design, based on a single-shaped continuous delay lens, had demonstrated excellent sca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f23c5008d89bbacf788e0362ee9d896
https://doi.org/10.1109/lawp.2022.3184395

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Electron-Induced Upsets and Stuck Bits in SDRAMs in the Jovian Environment

Autor: Lucas Matana Luza, Arto Javanainen, Wilfrid Farabolini, Antonio Gilardi, Christian Poivey, Luigi Dilillo, Daniel Soderstrom, Heikki Kettunen, Andrea Coronetti

Publikováno v: IEEE Transactions on Nuclear Science
IEEE Transactions on Nuclear Science, Institute of Electrical and Electronics Engineers, 2021, 68 (5), pp.716-723. ⟨10.1109/TNS.2021.3068186⟩
IEEE Nuclear and Space Radiation Effects Conference (NSREC 2020)
IEEE Nuclear and Space Radiation Effects Conference (NSREC 2020), Nov 2020, Santa Fe (virtual), United States
IEEE Transactions on Nuclear Science, 2021, 68 (5), pp.716-723. ⟨10.1109/TNS.2021.3068186⟩

This study investigates the response of synchronous dynamic random access memories to energetic electrons and especially the possibility of electrons to cause stuck bits in these memories. Three different memories with different node sizes (63, 72, a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e4c57ed03fc27531c154016b10f17da
https://doi.org/10.1109/tns.2021.3068186

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Sea‐ice detection from near‐nadir Ku‐band echoes from CFOSAT/SWIM scatterometer

Autor: Charles Peureux, Nicolas Longépé, Alexis Mouche, Céline Tison, Cédric Tourain, Jean‐Michel Lachiver, Danièle Hauser

Publikováno v: Earth And Space Science (2333-5084) (American Geophysical Union (AGU)), 2022-06, Vol. 9, N. 6, P. e2021EA002046 (20p.)
Earth and Space Science
Earth and Space Science, 2022, 9 (6), pp.e2021EA002046. ⟨10.1029/2021ea002046⟩
Earth and Space Science, American Geophysical Union/Wiley, 2022, ⟨10.1029/2021ea002046⟩

International audience; SWIM on board CFOSAT is the first spaceborne, low incidence, rotating scatterometer, aiming at measuring in near-real time ocean waves spectra. With 5 off-nadir beams at incidences between 2 • and 10 • plus one nadir beam,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b0714956975325178478c7386fa49b6
https://archimer.ifremer.fr/doc/00745/85673/

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Measuring ocean total surface current velocity with the KuROS and KaRADOC airborne near-nadir Doppler radars: a multi-scale analysis in preparation for the SKIM mission

Autor: Marié, Louis, Pineau-Gouillou, Lucia, Monnier, Goulwenn, Collard, Fabrice, Nouguier, Frédéric, Pineau-Guillou, Lucia, Hauser, Danièle, Boy, François, Méric, Stéphane, Sutherland, Peter, Peureux, Charles, Monnier, Goulven, Chapron, Bertrand, Martin, Adrien, Dubois, Pierre, Donlon, Craig, Casal, Tania, Ardhuin, Fabrice

Publikováno v: Ocean Science, Vol 16, Pp 1399-1429 (2020)
Ocean Science
Ocean Science, European Geosciences Union, 2020, 16 (6), pp.1399-1429. ⟨10.5194/os-16-1399-2020⟩
Ocean Science, 2020, 16 (6), pp.1399-1429. ⟨10.5194/os-16-1399-2020⟩
Ocean Science (1812-0784) (Copernicus GmbH), 2020-11, Vol. 16, N. 6, P. 1399-1429

Surface currents are poorly known over most of the world's oceans. Satellite-borne Doppler wave and current scatterometers (DWaCSs) are among the proposed techniques to fill this observation gap. The Sea surface KInematics Multiscale (SKIM) proposal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51e0c6d4f2008ee3f997fa42c7403876
https://os.copernicus.org/articles/16/1399/2020/os-16-1399-2020.pdf

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Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks

Autor: Lukas Burget, C. Garrel, Marguerite Pierre, Nicolas Clerc, Norbert Werner, Matej Kosiba, Alina Khalikova, Sarah Kendrew, Miriam E. Ramos-Ceja, Filip Hroch, Mona Molham, M. Lieu, Bruno Altieri, Elias Koulouridis, T. Sadibekova, L. Faccioli, I. Valtchanov, Evelina R. Gaynullina

Publikováno v: Monthly Notices of the Royal Astronomical Society
Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P-Oxford Open Option A, 2020, ⟨10.1093/mnras/staa1723⟩
Monthly Notices of the Royal Astronomical Society, 2020, ⟨10.1093/mnras/staa1723⟩

Galaxy clusters appear as extended sources in XMM-Newton images, but not all extended sources are clusters. So, their proper classification requires visual inspection with optical images, which is a slow process with biases that are almost impossible

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8246c701c2c7f0e3bef438a3d7aeb085
https://doi.org/10.1093/mnras/staa1723

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X-ray properties of the X-CLASS-redMaPPer galaxy cluster sample: the luminosity–temperature relation

Autor: T. Sadibekova, Mona Molham, Shahinaz Yousef, Nicolas Clerc, Ali Takey, A. B. Morcos, Z. M. Hayman, Evelina R. Gaynullina, Somak Raychaudhury, M. Lieu

Publikováno v: Monthly Notices of the Royal Astronomical Society
Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P-Oxford Open Option A, 2020, 494 (1), pp.161-177. ⟨10.1093/mnras/staa677⟩
Monthly Notices of the Royal Astronomical Society, 2020, 494 (1), pp.161-177. ⟨10.1093/mnras/staa677⟩

This paper presents results of a spectroscopic analysis of the X-CLASS-redMaPPer (XC1-RM) galaxy cluster sample. X-CLASS is a serendipitous search for clusters in the X-ray wavebands based on the XMM-Newton archive, whereas redMaPPer is an optical cl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82a6d60fb3f5cdc502d02db05e138733
https://doi.org/10.1093/mnras/staa677

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Euclid preparation - XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models: XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models

Autor: Bretonnière, H., Huertas-Company, M., Boucaud, A., Lanusse, F., Jullo, E., Merlin, E., Tuccillo, D., Castellano, M., Brinchmann, J., Conselice, C. J., Dole, H., Cabanac, R., Courtois, H. M., Castander, F. J., Duc, P. A., Fosalba, P., Guinet, D., Kruk, S., Kuchner, U., Serrano, S., Soubrie, E., Tramacere, A., Wang, L., Amara, A., Auricchio, N., Bender, R., Bodendorf, C., Bonino, D., Branchini, E., Brau-Nogue, S., Brescia, M., Capobianco, V., Carbone, C., Carretero, J., Cavuoti, S., Cimatti, A., Cledassou, R., Congedo, G., Conversi, L., Copin, Y., Corcione, L., Costille, A., Cropper, M., da Silva, A., Degaudenzi, H., Douspis, M., Dubath, F., Duncan, C. A. J., Dupac, X., Dusini, S., Farrens, S., Ferriol, S., Frailis, M., Franceschi, E., Fumana, M., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Grazian, A., Grupp, F., Haugan, S. V. H., Holmes, W., Hormuth, F., Hudelot, P., Jahnke, K., Kermiche, S., Kiessling, A., Kilbinger, M., Kitching, T., Kohley, R., Kümmel, M., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maiorano, E., Mansutti, O., Marggraf, O., Markovic, K., Marulli, F., Massey, R., Maurogordato, S., Melchior, M., Meneghetti, M., Meylan, G., Moresco, M., Morin, B., Moscardini, L., Munari, E., Nakajima, R., Niemi, S. M., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Pettorino, V., Pires, S., Poncet, M., Popa, L., Pozzetti, L., Raison, F., Rebolo, R., Rhodes, J., Roncarelli, M., Rossetti, E., Saglia, R., Schneider, P., Secroun, A., Seidel, G., Sirignano, C., Sirri, G., Stanco, L., Starck, J.-L., Tallada-Crespí, P., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valentijn, E. A., Valenziano, L., Wang, Y., Welikala, N., Weller, J., Zamorani, G., Zoubian, J., Baldi, M., Bardelli, S., Camera, S., Farinelli, R., Medinaceli, E., Mei, S., Polenta, G., Romelli, E., Tenti, M., Vassallo, T., Zacchei, A., Zucca, E., Baccigalupi, C., Balaguera-Antolínez, A., Biviano, A., Borgani, S., Bozzo, E., Burigana, C., Cappi, A., Carvalho, C. S., Casas, S., Castignani, G., Colodro-Conde, C., Coupon, J., de La Torre, S., Fabricius, M., Farina, M., Ferreira, P. G., Flose-Reimberg, P., Fotopoulou, S., Galeotta, S., Ganga, K., Garcia-Bellido, J., Gaztanaga, E., Gozaliasl, G., Hook, I. M., Joachimi, B., Kansal, V., Kashlinsky, A., Keihanen, E., Kirkpatrick, C. C., Lindholm, V., Mainetti, G., Maino, D., Maoli, R., Martinelli, M., Martinet, N., Mccracken, H. J., Metcalf, R. B., Morgante, G., Morisset, N., Nightingale, J., Nucita, A., Patrizii, L., Potter, D., Renzi, A., Riccio, G., Sánchez, A. G., Sapone, D., Schirmer, M., Schultheis, M., Scottez, V., Sefusatti, E., Teyssier, R., Tutusaus, I., Valiviita, J., Viel, M., Whittaker, L., Knapen, J. H.

Publikováno v: Astronomy and Astrophysics-A&A
Astronomy and Astrophysics-A&A, 2022, 657, pp.A90. ⟨10.1051/0004-6361/202141393⟩

International audience; We present a machine learning framework to simulate realistic galaxies for the Euclid Survey, producing more complex and realistic galaxies than the analytical simulations currently used in Euclid. The proposed method combines

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::00d9add45b690b94d5c28b9fdc1e28bb
https://hal.science/hal-03533669/document

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Euclid preparation XV. Forecasting cosmological constraints for the Euclid and CMB joint analysis

Autor: Euclid Collaboration, Ilić, S., Aghanim, N., Baccigalupi, C., BERMEJO CLIMENT, JOSE RAMON, Fabbian, G., Legrand, L., PAOLETTI, DANIELA, Ballardini, M., Archidiacono, M., Douspis, M., Kubik, B., Kümmel, M., Kurki-Suonio, H., Laureijs, R., LIGORI, Sebastiano, Lilje, P. B., Lloro, I., MANSUTTI, Oriana, Marggraf, O., Marulli, F., FINELLI, FABIO, Massey, R., Maurogordato, S., MENEGHETTI, MASSIMO, MERLIN, Emiliano, Meylan, G., Moresco, M., Morin, B., Moscardini, L., Munari, Emiliano, Niemi, S. M., Ganga, K., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Percival, W., Pires, S., Poncet, M., Popa, L., POZZETTI, Lucia, Raison, F., Hernández-Monteagudo, C., Rebolo, R., Rhodes, J., Roncarelli, M., Rossetti, E., Saglia, R., SCARAMELLA, Roberto, Schneider, P., Secroun, A., Seidel, G., Serrano, S., LATTANZI, Mario Gilberto, Sirignano, C., Starck, J. L., Tallada-Crespí, P., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valentijn, E. A., VALENZIANO, LUCA, Verdoes Kleijn, G. A., Marinucci, D., Wang, Y., Welikala, N., Weller, J., Zamorani, G., Zoubian, J., Medinaceli, E., Mei, S., Rosset, C., Sureau, F., Vassallo, T., Migliaccio, M., ZACCHEI, Andrea, ANDREON, Stefano, Balaguera-Antolínez, A., Baldi, M., BARDELLI, Sandro, BIVIANO, ANDREA, BORGANI, STEFANO, Bozzo, E., BURIGANA, CARLO, Cabanac, R., CARBONE, Carmelita, CAPPI, Alberto, Carvalho, C. S., Castignani, G., Colodro-Conde, C., Coupon, J., Courtois, H. M., Cuby, J., de la Torre, S., Di Ferdinando, D., Dole, H., Casas, S., FARINA, Maria, Ferreira, P. G., Flose-Reimberg, P., GALEOTTA, Samuele, Gozaliasl, G., Graciá-Carpio, J., Keihanen, E., Kirkpatrick, C. C., Lindholm, V., Mainetti, G., Martinelli, M., Maino, D., Martinet, N., Maturi, M., Metcalf, R. B., MORGANTE, GIANLUCA, Neissner, C., Nightingale, J., Nucita, A. A., Potter, D., RICCIO, GIUSEPPE, Tutusaus, I., Romelli, Erik, Schirmer, M., Schultheis, M., Scottez, V., Teyssier, R., Tramacere, A., Valiviita, J., VIEL, MATTEO, Whittaker, L., ZUCCA, Elena, Natoli, P., Ntelis, P., Pagano, L., Wenzl, L., GRUPPUSO, ALESSANDRO, Kitching, T., Langer, M., Mauri, N., Patrizii, L., Renzi, A., Sirri, G., Stanco, L., Tenti, M., Vielzeuf, P., Lacasa, F., Polenta, G., Yankelevich, V., Blanchard, A., Sakr, Z., Pourtsidou, A., Camera, S., CARDONE, Vincenzo Fabrizio, Kilbinger, M., Kunz, M., Markovic, K., Pettorino, V., Sánchez, A. G., Sapone, D., Amara, A., AURICCHIO, NATALIA, Bender, R., Bodendorf, C., BONINO, Donata, Branchini, Enzo, BRESCIA, Massimo, Brinchmann, J., Capobianco, Vito, Carretero, J., Castander, F. J., CASTELLANO, MARCO, CAVUOTI, STEFANO, Cimatti, A., Cledassou, R., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., CORCIONE, Leonardo, Costille, A., Cropper, M., Da Silva, A., Degaudenzi, H., Dubath, F., Duncan, C. A. J., Dupac, X., Dusini, S., Ealet, A., Farrens, S., Fosalba, P., FRAILIS, Marco, FRANCESCHI, ENRICO, FRANZETTI, PAOLO, FUMANA, Marco, GARILLI, BIANCA MARIA ROSA, Gillard, W., Gillis, B., GIOCOLI, Carlo, GRAZIAN, Andrea, Grupp, F., Guzzo, L., Haugan, S. V. H., Hoekstra, H., Holmes, W., Hormuth, F., Hudelot, P., Jahnke, K., Kermiche, S., Kiessling, A., Kohley, R.

Publikováno v: Astronomy & Astrophysics, 2022, Vol.657, pp.A91 [Peer Reviewed Journal]
Astronomy and Astrophysics-A&A
Astronomy and Astrophysics-A&A, 2022, 657, pp.A91. ⟨10.1051/0004-6361/202141556⟩
Astronomy & Astrophysics, 657, A91
Astronomy & Astrophysics
Astronomy & astrophysics, 657:A91. EDP Sciences

The combination and cross-correlation of the upcoming $Euclid$ data with cosmic microwave background (CMB) measurements is a source of great expectation since it will provide the largest lever arm of epochs, ranging from recombination to structure fo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4310af46cd6dc43dc26dfea028f0d684
http://dro.dur.ac.uk/35418/

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Energy-based Models in Earth Observation: from Generation to Semi-supervised Learning

Autor: Alexandre Boulch, Javiera Castillo-Navarro, Bertrand Le Saux, Sébastien Lefèvre

Publikováno v: IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, pp.5613211. ⟨10.1109/TGRS.2021.3126428⟩
IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/TGRS.2021.3126428⟩

International audience; Deep learning, together with the availability of large amounts of data, has transformed the way we process Earth observation (EO) tasks, such as land cover mapping or image registration. Yet, today, new models are needed to pu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc4fad03c431c6040d46589a7d060f7f
https://hal.science/hal-03379500/file/TGRS-v3.pdf

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