Zobrazeno 1 - 10
of 498
pro vyhledávání: '"A. Granitto"'
Autor:
Saito, R. K., Hempel, M., Alonso-García, J., Lucas, P. W., Minniti, D., Alonso, S., Baravalle, L., Borissova, J., Caceres, C., Chené, A. N., Cross, N. J. G., Duplancic, F., Garro, E. R., Gómez, M., Ivanov, V. D., Kurtev, R., Luna, A., Majaess, D., Navarro, M. G., Pullen, J. B., Rejkuba, M., Sanders, J. L., Smith, L. C., Albino, P. H. C., Alonso, M. V., Amôres, E. B., Angeloni, R., Arias, J. I., Arnaboldi, M., Barbuy, B., Bayo, A., Beamin, J. C., Bedin, L. R., Bellini, A., Benjamin, R. A., Bica, E., Bonatto, C. J., Botan, E., Braga, V. F., Brown, D. A., Cabral, J. B., Camargo, D., Garatti, A. Caratti o, Carballo-Bello, J. A., Catelan, M., Chavero, C., Chijani, M. A., Clariá, J. J., Coldwell, G. V., Peña, C. Contreras, Ramos, R. Contreras, Corral-Santana, J. M., Cortés, C. C., Cortés-Contreras, M., Cruz, P., Daza-Perilla, I. V., Debattista, V. P., Dias, B., Donoso, L., D'Souza, R., Emerson, J. P., Federle, S., Fermiano, V., Fernandez, J., Fernández-Trincado, J. G., Ferreira, T., Lopes, C. E. Ferreira, Firpo, V., Flores-Quintana, C., Fraga, L., Froebrich, D., Galdeano, D., Gavignaud, I., Geisler, D., Gerhard, O. E., Gieren, W., Gonzalez, O. A., Gramajo, L. V., Gran, F., Granitto, P. M., Griggio, M., Guo, Z., Gurovich, S., Hilker, M., Jones, H. R. A., Kammers, R., Kuhn, M. A., Kumar, M. S . N., Kundu, R., Lares, M., Libralato, M., Lima, E., Maccarone, T. J., Cortés, P. Marchant, Martin, E. L., Masetti, N., Matsunaga, N., Mauro, F., McDonald, I., Mejías, A., Mesa, V., Milla-Castro, F. P., Minniti, J. H., Bidin, C. Moni, Montenegro, K., Morris, C., Motta, V., Navarete, F., Molina, C. Navarro, Nikzat, F., Castellón, J. L. Nilo, Obasi, C., Ortigoza-Urdaneta, M., Palma, T., Parisi, C., Ramírez, K. Pena, Pereyra, L., Perez, N., Petralia, I., Pichel, A., Pignata, G., Alegría, S. Ramírez, Rojas, A. F., Rojas, D., Roman-Lopes, A., Rovero, A. C., Saroon, S., Schmidt, E. O., Schröder, A. C., Schultheis, M., Sgró, M. A., Solano, E., Soto, M., Stecklum, B., Steeghs, D., Tamura, M., Tissera, P., Valcarce, A. A. R., Valotto, C. A., Vasquez, S., Villalon, C., Villanova, S., Cádiz, F. Vivanco, Bacigalupo, R. Zelada, Zijlstra, A., Zoccali, M.
Publikováno v:
A&A 689, A148 (2024)
The ESO public survey VISTA Variables in the V\'ia L\'actea (VVV) surveyed the inner Galactic bulge and the adjacent southern Galactic disk from $2009-2015$. Upon its conclusion, the complementary VVV eXtended (VVVX) survey has expanded both the temp
Externí odkaz:
http://arxiv.org/abs/2406.16646
Publikováno v:
A&A 652, A151 (2021)
As most of the modern astronomical sky surveys produce data faster than humans can analyze it, Machine Learning (ML) has become a central tool in Astronomy. Modern ML methods can be characterized as highly resistant to some experimental errors. Howev
Externí odkaz:
http://arxiv.org/abs/2105.01714
Autor:
Matsui, Satoshi, Granitto, Marissa, Buckley, Morgan, Ludwig, Katie, Koigi, Sandra, Shiley, Joseph, Zacharias, William J., Mayhew, Christopher N., Lim, Hee-Woong, Iwafuchi, Makiko
Publikováno v:
In Molecular Cell 1 February 2024 84(3):476-489
Autor:
Shook, Molly S., Lu, Xiaoming, Chen, Xiaoting, Parameswaran, Sreeja, Edsall, Lee, Trimarchi, Michael P., Ernst, Kevin, Granitto, Marissa, Forney, Carmy, Donmez, Omer A., Diouf, Arame A., VonHandorf, Andrew, Rothenberg, Marc E., Weirauch, Matthew T., Kottyan, Leah C.
Publikováno v:
In The American Journal of Human Genetics 1 February 2024 111(2):280-294
Publikováno v:
A&A 642, A58 (2020)
The creation of a 3D map of the bulge using RRLyrae (RRL) is one of the main goals of the VVV(X) surveys. The overwhelming number of sources under analysis request the use of automatic procedures. In this context, previous works introduced the use of
Externí odkaz:
http://arxiv.org/abs/2005.00220
Machine learning algorithms are highly useful for the classification of time series data in astronomy in this era of peta-scale public survey data releases. These methods can facilitate the discovery of new unknown events in most astrophysical areas,
Externí odkaz:
http://arxiv.org/abs/1809.02154
Generative Adversarial Networks (GANs) produce systematically better quality samples when class label information is provided., i.e. in the conditional GAN setup. This is still observed for the recently proposed Wasserstein GAN formulation which stab
Externí odkaz:
http://arxiv.org/abs/1709.07359
Autor:
Cabral, Juan B., Sánchez, Bruno, Beroiz, Martín, Domínguez, Mariano, Lares, Marcelo, Gurovich, Sebastián, Granitto, Pablo
Data processing pipelines represent an important slice of the astronomical software library that include chains of processes that transform raw data into valuable information via data reduction and analysis. In this work we present Corral, a Python f
Externí odkaz:
http://arxiv.org/abs/1701.05566
Autor:
Patricia Rodríguez, Gabriela González Garraza, Ramiro López, Andrea Coronato, Gabriela Mataloni, María Granitto, Andrea Malits, Florencia Veira
Publikováno v:
Ecología Austral, Vol 33, Iss 1 (2023)
El 4% de la provincia de Tierra del Fuego se encuentra cubierto por agua. En la zona cordillerana son frecuentes los cuerpos de agua coloreados, como la Laguna Negra, en el Parque Nacional Tierra del Fuego. Se realizó una caracterización limnológi
Externí odkaz:
https://doaj.org/article/6aa0f68775ef4834b9787d5dda372c7f
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