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pro vyhledávání: '"Jacobs C"'
We study a discrete-time model for the spread of information in a graph, motivated by the idea that people believe a story when they learn of it from two different origins. Similar to the burning number, in this problem, information spreads in rounds
Externí odkaz:
http://arxiv.org/abs/2411.02050
Autor:
Martínez-Marín, M., Glazebrook, K., Nanayakkara, T., Jacobs, C., Labbé, I., Kacprzak, G. G., Papovich, C., Schreiber, C.
We present a sample of 22 massive galaxies with stellar masses $>10^{10} M_{\odot}$ at $3
Externí odkaz:
http://arxiv.org/abs/2405.12501
Autor:
Glazebrook, Karl, Nanayakkara, T., Jacobs, C., Leethochawalit, N., Calabrò, A., Bonchi, A., Castellano, M., Fontana, A., Mason, C., Merlin, E., Morishita, T., Paris, D., Trenti, M., Treu, T., Santini, P., Wang, X., Boyett, K., Bradac, Marusa, Brammer, G., Jones, T., Marchesini, D., Nonino, M., Vulcani, B.
We present a first look at the reddest 2-5$\mu\rm m$ sources found in deep images from the GLASS Early Release Science program. We undertake a general search, i.e. not looking for any particular spectral signatures, for sources detected only in bands
Externí odkaz:
http://arxiv.org/abs/2208.03468
Autor:
Treu, T., Roberts-Borsani, G., Bradac, M., Brammer, G., Fontana, A., Henry, A., Mason, C., Morishita, T., Pentericci, L., Wang, X., Acebron, A., Bagley, M., Bergamini, P., Belfiori, D., Bonchi, A., Boyett, K., Boutsia, K., Calabro, A., Caminha, G. B., Castellano, M., Dressler, A., Glazebrook, K., Grillo, C., Jacobs, C., Jones, T., Kelly, P., Leethochawalit, N., Malkan, M., Marchesini, D., Mascia, S., Mercurio, A., Merlin, E., Nanayakkara, T., Nonino, M., Paris, D., Poggianti, B., Rosati, P., Santini, P., Scarlata, C., Shipley, H., Strait, V., Trenti, M., Tubthong, C., Vanzella, E., Vulcani, B., Yang, L.
The GLASS James Webb Space Telescope Early Release Science (hereafter GLASS-JWST-ERS) Program will obtain and make publicly available the deepest extragalactic data of the ERS campaign. It is primarily designed to address two key science questions, n
Externí odkaz:
http://arxiv.org/abs/2206.07978
Artificial neural networks are finding increasing use in astronomy, but understanding the limitations of these models can be difficult. We utilize a statistical method, a sensitivity probe, designed to complement established methods for interpreting
Externí odkaz:
http://arxiv.org/abs/2112.02479
Publikováno v:
In Journal of Cranio-Maxillo-Facial Surgery January 2024 52(1):71-76
Autor:
Charlot, P., Jacobs, C. S., Gordon, D., Lambert, S., de Witt, A., Böhm, J., Fey, A. L., Heinkelmann, R., Skurikhina, E., Titov, O., Arias, E. F., Bolotin, S., Bourda, G., Ma, C., Malkin, Z., Nothnagel, A., Mayer, D., MacMillan, D. S., Nilsson, T., Gaume, R.
Publikováno v:
A&A 644, A159 (2020)
A new realization of the International Celestial Reference Frame (ICRF) is presented based on the work achieved by a working group of the International Astronomical Union (IAU) mandated for this purpose. This new realization, referred to as ICRF3, is
Externí odkaz:
http://arxiv.org/abs/2010.13625
Akademický článek
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Autor:
Robinson, M. ∗, †, Muirhead, R. ∗, McGowan, D.R. †, ‡, Chu, K.-Y. ∗, †, Jacobs, C. ∗, Hawkins, M.A. §
Publikováno v:
In Clinical Oncology October 2023 35(10):e622-e627
Autor:
Jacobs, C., Collett, T., Glazebrook, K., Buckley-Geer, E., Diehl, H. T., Lin, H., McCarthy, C., Qin, A. K., Odden, C., Escudero, M. Caso, Dial, P., Yung, V. J., Gaitsch, S., Pellico, A., Lindgren, K. A., Abbott, T. M. C., Annis, J., Avila, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., da Costa, L. N., De Vicente, J., Fosalba, P., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Goldstein, D. A., Gruen, D., Gruendl, R. A., Gschwend, J., Hollowood, D. L., Honscheid, K., Hoyle, B., James, D. J., Krause, E., Kuropatkin, N., Lahav, O., Lima, M., Maia, M. A. G., Marshall, J. L., Miquel, R., Plazas, A. A., Roodman, A., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Smith, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Vikram, V., Walker, A. R., Zhang, Y.
We search Dark Energy Survey (DES) Year 3 imaging for galaxy-galaxy strong gravitational lenses using convolutional neural networks, extending previous work with new training sets and covering a wider range of redshifts and colors. We train two neura
Externí odkaz:
http://arxiv.org/abs/1905.10522