Zobrazeno 1 - 10
of 278
pro vyhledávání: '"Lukić, V."'
Autor:
Allison, P., Beatty, J., Besson, D., Connolly, A., Cummings, A., Deaconu, C., De Kockere, S., de Vries, K. D., Frikken, D., Hast, C., Santiago, E. Huesca, Kuo, C. -Y., Kyriacou, A., Latif, U. A., Loonen, J., Loudon, I., Lukic, V., McLennan, C., Mulrey, K., Nam, J., Nivedita, K., Nozdrina, A., Oberla, E., Prohira, S., Ralston, J. P., Seikh, M. F. H., Stanley, R. S., Toscano, S., Broeck, D. Van den, van Eijndhoven, N., Wissel, S.
The Radar Echo Telescope for Cosmic Rays (RET-CR), a pathfinder instrument for the radar echo method of ultrahigh energy (UHE) neutrino detection, was initially deployed near Summit Station, Greenland, in May 2023. After a 4 week commissioning period
Externí odkaz:
http://arxiv.org/abs/2409.07511
Autor:
Santiago, E. Huesca, de Vries, K. D., Allison, P., Beatty, J., Besson, D., Connolly, A., Cummings, A., Deaconu, C., De Kockere, S., Frikken, D., Hast, C., Kuo, C. -Y., Kyriacou, A., Latif, U. A., Loudon, I., Lukic, V., McLennan, C., Mulrey, K., Nam, J., Nivedita, K., Nozdrina, A., Oberla, E., Prohira, S., Ralston, J. P., Seikh, M. F. H., Stanley, R. S., Stoffels, J., Toscano, S., Broeck, D. Van den, van Eijndhoven, N., Wissel, S.
Publikováno v:
Phys. Rev. D 109 (2024) 083012
To probe the cosmic particle flux at the highest energies, large volumes of dense material like ice have to be monitored. This can be achieved by exploiting the radio signal. In this work, we provide a macroscopic model to predict the radar echo sign
Externí odkaz:
http://arxiv.org/abs/2310.06731
Autor:
Prohira, S., de Vries, K. D., Allison, P., Beatty, J., Besson, D., Connolly, A., Dasgupta, P., Deaconu, C., De Kockere, S., Frikken, D., Hast, C., Santiago, E. Huesca, Kuo, C. -Y., Latif, U. A., Lukic, V., Meures, T., Mulrey, K., Nam, J., Nozdrina, A., Oberla, E., Ralston, J. P., Sbrocco, C., Stanley, R. S., Torres, J., Toscano, S., Broeck, D. Van den, van Eijndhoven, N., Wissel, S.
The Radar Echo Telescope for Cosmic Rays (RET-CR) is a recently initiated experiment designed to detect the englacial cascade of a cosmic-ray initiated air shower via in-ice radar, toward the goal of a full-scale, next-generation experiment to detect
Externí odkaz:
http://arxiv.org/abs/2104.00459
Autor:
Prohira, S., Sbrocco, C., Allison, P., Beatty, J., Besson, D., Connolly, A., Dasgupta, P., Deaconu, C., de Vries, K. D., De Kockere, S., Frikken, D., Hast, C., Santiago, E. Huesca, Kuo, C. -Y., Latif, U. A., Lukic, V., Meures, T., Mulrey, K., Nam, J., Nozdrina, A., Ralston, J. P., Stanley, R. S., Torres, J., Toscano, S., Broeck, D. Van den, van Eijndhoven, N., Wissel, S.
Publikováno v:
Phys. Rev. D 103, 103007 (2021)
We investigate the use of parabolic equation (PE) methods for solving radio-wave propagation in polar ice. PE methods provide an approximate solution to Maxwell's equations, in contrast to full-field solutions such as finite-difference-time-domain (F
Externí odkaz:
http://arxiv.org/abs/2011.05997
Autor:
Bonaldi, A., An, T., Bruggen, M., Burkutean, S., Coelho, B., Goodarzi, H., Hartley, P., Sandhu, P. K., Wu, C., Yu, L., Haghighi, M. H. Zhoolideh, Anton, S., Bagheri, Z., Barbosa, D., Barraca, J. P., Bartashevich, D., Bergano, M., Bonato, M., Brand, J., de Gasperin, F., Giannetti, A., Dodson, R., Jain, P., Jaiswal, S., Lao, B., Liu, B., Liuzzo, E., Lu, Y., Lukic, V., Maia, D., Marchili, N., Massardi, M., Mohan, P., Morgado, J. B., Panwar, M., Prabhakar, Ribeiro, V. A. R. M., Rygl, K. L. J., Ali, V. Sabz, Saremi, E., Schisano, E., Sheikhnezami, S., Sadr, A. Vafaei, Wong, A., Wong, O. I.
As the largest radio telescope in the world, the Square Kilometre Array (SKA) will lead the next generation of radio astronomy. The feats of engineering required to construct the telescope array will be matched only by the techniques developed to exp
Externí odkaz:
http://arxiv.org/abs/2009.13346
Finding and classifying astronomical sources is key in the scientific exploitation of radio surveys. Source-finding usually involves identifying the parts of an image belonging to an astronomical source, against some estimated background. This can be
Externí odkaz:
http://arxiv.org/abs/1910.03631
Next-generation radio surveys will yield an unprecedented amount of data, warranting analysis by use of machine learning techniques. Convolutional neural networks are the deep learning technique that has proven to be the most successful in classifyin
Externí odkaz:
http://arxiv.org/abs/1905.03274
Autor:
Lukic, V., Brüggen, M., Banfield, J. K., Wong, O. I., Rudnick, L., Norris, R. P., Simmons, B.
Machine learning techniques have been increasingly useful in astronomical applications over the last few years, for example in the morphological classification of galaxies. Convolutional neural networks have proven to be highly effective in classifyi
Externí odkaz:
http://arxiv.org/abs/1801.04861
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