Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Riccardo Campisano"'
Autor:
Fabio Porto, Fábio André Perosi, Florent Masseglia, Eduardo Ogasawara, Esther Pacitti, Heraldo Borges, Riccardo Campisano
Publikováno v:
20th International Conference on Big Data Analytics and Knowledge Discovery
DaWaK: Data Warehousing and Knowledge Discovery
DaWaK: Data Warehousing and Knowledge Discovery, Sep 2018, Regensburg, Germany. pp.247-257, ⟨10.1007/978-3-319-98539-8_19⟩
Big Data Analytics and Knowledge Discovery ISBN: 9783319985381
DaWaK
Big Data Analytics and Knowledge Discovery-20th International Conference, DaWaK 2018, Regensburg, Germany, September 3–6, 2018, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Big Data Analytics and Knowledge Discovery
DaWaK: Data Warehousing and Knowledge Discovery
DaWaK: Data Warehousing and Knowledge Discovery, Sep 2018, Regensburg, Germany. pp.247-257, ⟨10.1007/978-3-319-98539-8_19⟩
Big Data Analytics and Knowledge Discovery ISBN: 9783319985381
DaWaK
Big Data Analytics and Knowledge Discovery-20th International Conference, DaWaK 2018, Regensburg, Germany, September 3–6, 2018, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Big Data Analytics and Knowledge Discovery
International audience; The problem of discovering spatiotemporal sequential patterns affects a broad range of applications. Many initiatives find sequences constrained by space and time. This paper addresses an appealing new challenge for this domai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7cddee949f127464ef60bc4d2695e93
https://hal.science/hal-01925965
https://hal.science/hal-01925965
Autor:
M. W. G. Johnson, M. Baumer, Tesla E. Jeltema, Eric H. Neilsen, Peter Nugent, Martin Crocce, S. Hamilton, M. Smith, Antonella Palmese, Nora Shipp, Eli S. Rykoff, F. Nogueira, L. Baruah, Daniel Gruen, Daniel Scolnic, Brian Nord, M. A. G. Maia, Brian Yanny, Matthias Klein, J. Song, R. R. Gupta, Yanxi Zhang, Arya Farahi, J. Carretero, M. March, Basilio X. Santiago, Tamara M. Davis, Shantanu Desai, Gary S. Da Costa, Jochen Weller, T. F. Eifler, Daniel A. Goldstein, J. M. Hislop, Joseph J. Mohr, R. C. Thomas, Erin Sheldon, David Brooks, M. E. C. Swanson, A. Porredon, A. Carnero Rosell, A. Saro, D. W. Gerdes, Xi Chen, Attila Kovács, Eric Morganson, R. C. Wolf, J. P. Dietrich, A. Kremin, T. M. C. Abbott, Richard G. McMahon, Jeremy Mould, J. D. Maloney, Jacobo Asorey, A. Benoit-Lévy, Hiranya V. Peiris, Ofer Lahav, Vinu Vikram, J. Lasker, E. J. Sanchez, B. Flaugher, S. Juneau, Risa H. Wechsler, Ricardo L. C. Ogando, Alistair R. Walker, A. A. Plazas, Ryan J. Foley, M. Carrasco Kind, W. C. Wester, Jennifer L. Marshall, D. L. Burke, Adam Amara, A. Scott, M.L. Sánchez, Jonathan Blazek, C. B. D'Andrea, Marcelle Soares-Santos, R. C. Smith, S. E. Kuhlmann, Ashley J. Ross, Robert C. Nichol, Ben Hoyle, G. Daues, M. Gower, C. J. Miller, M. D. Johnson, Wayne A. Barkhouse, Samuel Hinton, Felipe Menanteau, Kevin Reil, L. Nunes, F. Paz-Chinchón, David J. James, Tenglin Li, Scott Dodelson, Santiago Avila, Ann Elliott, Chihway Chang, T. Kacprzak, G. Tarle, Knut Olsen, R. Das, Ramon Miquel, Lyndsay Old, Juan Garcia-Bellido, E. Bertin, A. Roodman, Tommaso Giannantonio, Carlos E. Cunha, J. Poh, Pablo Fosalba, Enrique Gaztanaga, G. Gutierrez, J. DeRose, J. J. Thaler, Enrique Fernández, Will J. Percival, S. Allam, Paul M. Ricker, A. Pujol, Robert A. Gruendl, V. Scarpine, Andrew B. Pace, R. P. Rollins, K. Honscheid, Timothy A. McKay, Darren L. DePoy, G. Khullar, R. T. Li, Joe Zuntz, Alex Drlica-Wagner, R. Nikutta, Francisco J. Castander, C. Pond, Douglas L. Tucker, Don Petravick, W. G. Hartley, A. K. Vivas, R. Cawthon, Riccardo Campisano, D. A. Finley, D. Brout, Karl Glazebrook, Dragan Huterer, Peter Melchior, Elisabeth Krause, Mark Sullivan, Kyler Kuehn, V. C. Busti, P. Rooney, C. J. Conselice, Huan Lin, Marc Manera, J. Annis, Sebastian Bocquet, A. M. G. Koziol, M. L. Silveira, M. Fitzpatrick, Andrew R. Liddle, Alfredo Zenteno, O. Ballester, Steve Kent, Daniel Thomas, E. Buckley-Geer, Michael Troxel, A. K. Romer, Paul Martini, A. Fausti Neto, Keith Bechtol, C. Davis, J. Gschwend, Gary Bernstein, Hao-Yi Wu, Peter Doel, H. T. Diehl, J. De Vicente, J. P. Marriner, M. S. S. Gill, E. Suchyta, Niall MacCrann, August E. Evrard, Alexandre Refregier, Douglas N. Friedel, Albert Stebbins, M. Banerji, Joshua A. Frieman, I. Sevilla-Noarbe, J. A. Smith, T. McClintock, N. Kuropatkin, L. N. da Costa, Laia Cardiel-Sas, M. Sako, D. L. Hollowood, S. Serrano, David L. Nidever, Marcos Lima, Richard G. Kron, P. Lopez-Reyes, Filipe B. Abdalla, Bhuvnesh Jain, Matthew R. Becker, Flavia Sobreira
Publikováno v:
Astrophys.J.Suppl.
Astrophys.J.Suppl., 2018, 239 (2), pp.18. ⟨10.3847/1538-4365/aae9f0⟩
NASA Astrophysics Data System
INSPIRE-HEP
Abbott, TMC; Abdalla, FB; Allam, S; Amara, A; Annis, J; Asorey, J; et al.(2018). The Dark Energy Survey: Data Release 1. The Astrophysical Journal Supplement Series, 239(2), 18-18. doi: 10.3847/1538-4365/aae9f0. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/4hx0r89j
Klein, M 2018, ' The Dark Energy Survey Data Release 1 ', Astrophysical Journal . https://doi.org/10.3847/1538-4365/aae9f0
DES Collaboration, Avila Perez, S J, Nichol, B, Percival, W & Thomas, D B 2018, ' The Dark Energy Survey : Data Release 1 ', Astrophysical Journal, Supplement Series, vol. 239, no. 2, 18 . https://doi.org/10.3847/1538-4365/aae9f0
Astrophys.J.Suppl., 2018, 239 (2), pp.18. ⟨10.3847/1538-4365/aae9f0⟩
NASA Astrophysics Data System
INSPIRE-HEP
Abbott, TMC; Abdalla, FB; Allam, S; Amara, A; Annis, J; Asorey, J; et al.(2018). The Dark Energy Survey: Data Release 1. The Astrophysical Journal Supplement Series, 239(2), 18-18. doi: 10.3847/1538-4365/aae9f0. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/4hx0r89j
Klein, M 2018, ' The Dark Energy Survey Data Release 1 ', Astrophysical Journal . https://doi.org/10.3847/1538-4365/aae9f0
DES Collaboration, Avila Perez, S J, Nichol, B, Percival, W & Thomas, D B 2018, ' The Dark Energy Survey : Data Release 1 ', Astrophysical Journal, Supplement Series, vol. 239, no. 2, 18 . https://doi.org/10.3847/1538-4365/aae9f0
We describe the first public data release of the Dark Energy Survey, DES DR1, consisting of reduced single epoch images, coadded images, coadded source catalogs, and associated products and services assembled over the first three years of DES science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::413090352553e74c03a65aeaa0aeb1b3
https://hal.archives-ouvertes.fr/hal-01703644
https://hal.archives-ouvertes.fr/hal-01703644
Autor:
Paulo S. Pellegrini, J. Calcino, David J. James, E. Suchyta, August E. Evrard, Pablo Fosalba, Antonella Palmese, G. Tarle, C. Adean, Filipe B. Abdalla, Geraint F. Lewis, Tamara M. Davis, Karl Glazebrook, Douglas L. Tucker, C. Lidman, Kyler Kuehn, Marcos Lima, J. Asorey, David J. Brooks, C. Singulani, Daniela Carollo, I. Sevilla-Noarbe, J. Annis, M. Carrasco Kind, A. C. Rossel, C. B. D'Andrea, N. Kuropatkin, M. E. C. Swanson, Francisco J. Castander, L. N. da Costa, Jennifer L. Marshall, Brad E. Tucker, Flavia Sobreira, T. M. C. Abbott, Peter Melchior, D. L. Hollowood, Michel Aguena, M. Smith, V. Scarpine, A. A. Plazas, E. J. Sanchez, M. A. G. Maia, Basilio X. Santiago, Alistair R. Walker, Ricardo L. C. Ogando, I. Sadeh, S. Allam, Robert A. Gruendl, Ben Hoyle, D. W. Gerdes, Joshua A. Frieman, C. Benoist, Riccardo Campisano, Angelo Fausti Neto, J. De Vicente, S. A. Uddin, Huan Lin, K. Honscheid, Ofer Lahav, W. G. Hartley, R. H. Schindler, J. K. Hoormann, Edward Macaulay, Samuel Hinton, G. Gutierrez, N. E. Sommer, Sachin N. Desai, J. Gschwend, Ramon Miquel, Anais Möller, Juan Garcia-Bellido
Publikováno v:
Astron.Comput.
Astron.Comput., 2018, 25, pp.58-80. ⟨10.1016/j.ascom.2018.08.008⟩
Gschwend, J, Rossel, A C, Ogando, R L C, Neto, A F, Maia, M A G, da Costa, L N, Lima, M, Pellegrini, P, Campisano, R, Singulani, C, Adean, C, Benoist, C, Aguena, M, Carrasco Kind, M, Davis, T M, de Vicente, J, Hartley, W G, Hoyle, B, Palmese, A, Sadeh, I, Abbott, T M C, Abdalla, F B, Allam, S, Annis, J, Asorey, J, Brooks, D, Calcino, J, Carollo, D, Castander, F J, D'Andrea, C B, Desai, S, Evrard, A E, Fosalba, P, Frieman, J, García-Bellido, J, Glazebrook, K, Gerdes, D W, Gruendl, R A, Gutierrez, G, Hinton, S, Hollowood, D L, Honscheid, K, Hoormann, J K, James, D J, Kuehn, K, Kuropatkin, N, Lahav, O, Lewis, G, Lidman, C, Lin, H, Macaulay, E, Marshall, J, Melchior, P, Miquel, R, Möller, A, Plazas, A A, Sanchez, E, Santiago, B, Scarpine, V, Schindler, R H, Sevilla-Noarbe, I, Smith, M, Sobreira, F, Sommer, N E, Suchyta, E, Swanson, M E C, Tarle, G, Tucker, B E, Tucker, D L, Uddin, S & Walker, A R 2018, ' DES science portal : computing photometric redshifts ', Astronomy and Computing, vol. 25, pp. 58-80 . https://doi.org/10.1016/j.ascom.2018.08.008
Astronomy and computing 25, 58-80 (2018). doi:10.1016/j.ascom.2018.08.008
Astron.Comput., 2018, 25, pp.58-80. ⟨10.1016/j.ascom.2018.08.008⟩
Gschwend, J, Rossel, A C, Ogando, R L C, Neto, A F, Maia, M A G, da Costa, L N, Lima, M, Pellegrini, P, Campisano, R, Singulani, C, Adean, C, Benoist, C, Aguena, M, Carrasco Kind, M, Davis, T M, de Vicente, J, Hartley, W G, Hoyle, B, Palmese, A, Sadeh, I, Abbott, T M C, Abdalla, F B, Allam, S, Annis, J, Asorey, J, Brooks, D, Calcino, J, Carollo, D, Castander, F J, D'Andrea, C B, Desai, S, Evrard, A E, Fosalba, P, Frieman, J, García-Bellido, J, Glazebrook, K, Gerdes, D W, Gruendl, R A, Gutierrez, G, Hinton, S, Hollowood, D L, Honscheid, K, Hoormann, J K, James, D J, Kuehn, K, Kuropatkin, N, Lahav, O, Lewis, G, Lidman, C, Lin, H, Macaulay, E, Marshall, J, Melchior, P, Miquel, R, Möller, A, Plazas, A A, Sanchez, E, Santiago, B, Scarpine, V, Schindler, R H, Sevilla-Noarbe, I, Smith, M, Sobreira, F, Sommer, N E, Suchyta, E, Swanson, M E C, Tarle, G, Tucker, B E, Tucker, D L, Uddin, S & Walker, A R 2018, ' DES science portal : computing photometric redshifts ', Astronomy and Computing, vol. 25, pp. 58-80 . https://doi.org/10.1016/j.ascom.2018.08.008
Astronomy and computing 25, 58-80 (2018). doi:10.1016/j.ascom.2018.08.008
Astronomy and computing 25, 58-80 (2018). doi:10.1016/j.ascom.2018.08.008
A significant challenge facing photometric surveys for cosmological purposes is the need to produce reliable redshift estimates. The estimation of photometric redshifts (p
A significant challenge facing photometric surveys for cosmological purposes is the need to produce reliable redshift estimates. The estimation of photometric redshifts (p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df2c610da08ae2f4bb81d93b654af5e1
https://hal.archives-ouvertes.fr/hal-01881390
https://hal.archives-ouvertes.fr/hal-01881390
Publikováno v:
Anais do XXXI Simpósio Brasileiro de Banco de Dados (SBBD 2016).
A myriad of applications from different domains collects time series data for further analysis. In many of them, such as seismic datasets, the observed data is also associated to a space dimension, which corresponds, in fact, to spatial-time series.
Autor:
M. A. G. Maia, Ricardo L. C. Ogando, Luiz N. da Costa, Angelo Fausti Neto, Riccardo Campisano
Publikováno v:
Anais do X Brazilian e-Science Workshop (BRESCI 2016).
O Dark Energy Survey, após um período proprietário, disponibiliza para a comunidade seus dados processados na forma de imagens, catálogos, e mapas. O portal científico do LIneA permite que esses diferentes produtos necessários para a análise c
Autor:
M. A. G. Maia, Luiz N. da Costa, Ricardo L. C. Ogando, Riccardo Campisano, Angelo Fausti Neto
Publikováno v:
Anais do X Brazilian e-Science Workshop (BRESCI 2016).
Descrevemos como o LIneA foi criado, e o que produziu em termos de software e hardware nos últimos 10 anos de trabalho no Dark Energy Survey e em preparação para vários outros levantamentos, tal como o LSST, quando um centro de e-ciência no Bras
Autor:
Luiz N. da Costa, Gustavo Paiva Guedes, Riccardo Campisano, Marcello Serqueira, Ricardo L. C. Ogando, M. A. G. Maia, Eduardo Ogasawara, Eduardo Jabbur Machado, Eduardo Bezerra
Publikováno v:
IJCNN
For recent or planned deep astronomical surveys, it is important to tell stars and galaxies apart, a task known as Star/Galaxy Separation Problem (SGSP). At faint magnitudes, the separation between pointy and extended sources is fuzzy, which makes SG