Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Avestruz, C"'
Autor:
Huppenkothen, D., Ntampaka, M., Ho, M., Fouesneau, M., Nord, B., Peek, J. E. G., Walmsley, M., Wu, J. F., Avestruz, C., Buck, T., Brescia, M., Finkbeiner, D. P., Goulding, A. D., Kacprzak, T., Melchior, P., Pasquato, M., Ramachandra, N., Ting, Y. -S., van de Ven, G., Villar, S., Villar, V. A., Zinger, E.
Machine learning has rapidly become a tool of choice for the astronomical community. It is being applied across a wide range of wavelengths and problems, from the classification of transients to neural network emulators of cosmological simulations, a
Externí odkaz:
http://arxiv.org/abs/2310.12528
Autor:
Cacciotti, F., Paiella, A., Avestruz, C., Tackur, R. Basu, Battistelli, E.S., de Bernardis, P., Bulbul, E., Columbro, F., Coppolecchia, A., Cray, S., D’Alessandro, G., De Petris, M., Hanany, S., Lamagna, L., Lau, E., Masi, S., Pettinari, G., Piacentini, F., Sayers, J., Zhuravleva, I., Zuhone, J.
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, A December 2024 1069
Autor:
Sayers, J.1 jack@caltech.edu, Avestruz, C.2, Thakur, R. Basu3, Battistelli, E.4, Bulbul, E.5, Cacciotti, F.4, Columbro, F.4, Coppolecchia, A.4, Cray, S.6, D'Alessandro, G.4, de Bernardis, P.4, De Petris, M.4, Hanany, S.6, Lamagna, L.4, Lau, E.7, Masi, S.4, Paiella, A.4, Pettinari, G.8, Piacentini, F.4, Rapaport, E.1
Publikováno v:
EPJ Web of Conferences. 3/28/2024, Vol. 293, p1-6. 6p.
Autor:
Aguena, M., Avestruz, C., Combet, C., Fu, S., Herbonnet, R., Malz, A. I., Penna-Lima, M., Ricci, M., Vitenti, S. D. P., Baumont, L., Fan, H., Fong, M., Ho, M., Kirby, M., Payerne, C., Boutigny, D., Lee, B., Liu, B., McClintock, T., Miyatake, H., Sifón, C., von der Linden, A., Wu, H., Yoon, M., Collaboration, The LSST Dark Energy Science
We present the v1.0 release of CLMM, an open source Python library for the estimation of the weak lensing masses of clusters of galaxies. CLMM is designed as a standalone toolkit of building blocks to enable end-to-end analysis pipeline validation fo
Externí odkaz:
http://arxiv.org/abs/2107.10857
Autor:
Amundson, J., Annis, J., Avestruz, C., Bowring, D., Caldeira, J., Cerati, G., Chang, C., Dodelson, S., Elvira, D., Farahi, A., Genser, K., Gray, L., Gutsche, O., Harris, P., Kinney, J., Kowalkowski, J. B., Kutschke, R., Mrenna, S., Nord, B., Para, A., Pedro, K., Perdue, G. N., Scheinker, A., Spentzouris, P., John, J. St., Tran, N., Trivedi, S., Trouille, L., Wu, W. L. K., Bom, C. R.
We present a response to the 2018 Request for Information (RFI) from the NITRD, NCO, NSF regarding the "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan." Through this document, we provide a response to the
Externí odkaz:
http://arxiv.org/abs/1911.05796
Autor:
Walker, Stephen A., Nagai, Daisuke, Simionescu, A., Markevitch, M., Akamatsu, H., Arnaud, M., Avestruz, C., Bautz, M., Biffi, V., Borgani, S., Bulbul, E., Churazov, E., Dolag, K., Eckert, D., Ettori, S., Fujita, Y., Gaspari, M., Ghirardini, V., Kraft, R., Lau, E. T., Mantz, A., Matsushita, K., McDonald, M., Miller, E., Mroczkowski, T., Nulsen, P., Okabe, N., Ota, N., Pointecouteau, E., Pratt, G., Sato, K., Shi, X., Tremblay, G., Tremmel, M., Vazza, F., Zhuravleva, I., Zinger, E., ZuHone, J.
In recent years, the outskirts of galaxy clusters have emerged as one of the new frontiers and unique laboratories for studying the growth of large scale structure in the universe. Modern cosmological hydrodynamical simulations make firm and testable
Externí odkaz:
http://arxiv.org/abs/1903.04550
Autor:
Sevilla-Noarbe, I., Hoyle, B., Marchã, M. J., Soumagnac, M. T., Bechtol, K., Drlica-Wagner, A., Abdalla, F., Aleksić, J., Avestruz, C., Balbinot, E., Banerji, M., Bertin, E., Bonnett, C., Brunner, R., Carrasco-Kind, M., Choi, A., Giannantonio, T., Kim, E., Lahav, O., Moraes, B., Nord, B., Ross, A. J., Rykoff, E. S., Santiago, B., Sheldon, E., Wei, K., Wester, W., Yanny, B., Abbott, T., Allam, S., Brooks, D., Carnero-Rosell, A., Carretero, J., Cunha, C., da Costa, L., Davis, C., de Vicente, J., Desai, S., Doel, P., Fernandez, E., Flaugher, B., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Gruen, D., Gruendl, R., Gschwend, J., Gutierrez, G., Hollowood, D. L., Honscheid, K., James, D., Jeltema, T., Kirk, D., Krause, E., Kuehn, K., Li, T. S., Lima, M., Maia, M. A. G., March, M., McMahon, R. G., Menanteau, F., Miquel, R., Ogando, R. L. C., Plazas, A. A., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Walker, A. R.
Publikováno v:
Monthly Notices of the Royal Astronomical Society, 2018, Volume 481, Issue 4, p.5451-5469
We perform a comparison of different approaches to star-galaxy classification using the broad-band photometric data from Year 1 of the Dark Energy Survey. This is done by performing a wide range of tests with and without external `truth' information,
Externí odkaz:
http://arxiv.org/abs/1805.02427
Publikováno v:
In Astronomy and Computing July 2019 28
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