SKA Science Data Challenge 2: analysis and results

Autor: Hartley, P., Bonaldi, A., Braun, R., Aditya, J. N. H. S., Aicardi, S., Alegre, L., Chakraborty, A., Chen, X., Choudhuri, S., Clarke, A. O., Coles, J., Collinson, J. S., Cornu, D., Darriba, L., Veneri, M. Delli, Forbrich, J., Fraga, B., Galan, A., Garrido, J., Gubanov, F., Håkansson, H., Hardcastle, M. J., Heneka, C., Herranz, D., Hess, K. M., Jagannath, M., Jaiswal, S., Jurek, R. J., Korber, D., Kitaeff, S., Kleiner, D., Lao, B., Lu, X., Mazumder, A., Moldón, J., Mondal, R., Ni, S., Önnheim, M., Parra, M., Patra, N., Peel, A., Salomé, P., Sánchez-Expósito, S., Sargent, M., Semelin, B., Serra, P., Shaw, A. K., Shen, A. X., Sjöberg, A., Smith, L., Soroka, A., Stolyarov, V., Tolley, E., Toribio, M. C., van der Hulst, J. M., Sadr, A. Vafaei, Verdes-Montenegro, L., Westmeier, T., Yu, K., Yu, L., Zhang, L., Zhang, X., Zhang, Y., Alberdi, A., Ashdown, M., Bom, C. R., Brüggen, M., Cannon, J., Chen, R., Combes, F., Conway, J., Courbin, F., Ding, J., Fourestey, G., Freundlich, J., Gao, L., Gheller, C., Guo, Q., Gustavsson, E., Jirstrand, M., Jones, M. G., Józsa, G., Kamphuis, P., Kneib, J. -P., Lindqvist, M., Liu, B., Liu, Y., Mao, Y., Marchal, A., Márquez, I., Meshcheryakov, A., Olberg, M., Oozeer, N., Pandey-Pommier, M., Pei, W., Peng, B., Sabater, J., Sorgho, A., Starck, J. L., Tasse, C., Wang, A., Wang, Y., Xi, H., Yang, X., Zhang, H., Zhang, J., Zhao, M., Zuo, S.

The Square Kilometre Array Observatory (SKAO) will explore the radio sky to new depths in order to conduct transformational science. SKAO data products made available to astronomers will be correspondingly large and complex, requiring the application

Externí odkaz: http://arxiv.org/abs/2303.07943

Learning to Detect Interesting Anomalies

Autor: Sadr, Alireza Vafaei, Bassett, Bruce A., Sekyi, Emmanuel

Anomaly detection algorithms are typically applied to static, unchanging, data features hand-crafted by the user. But how does a user systematically craft good features for anomalies that have never been seen? Here we couple deep learning with active

Externí odkaz: http://arxiv.org/abs/2210.16334

Prevalence and determinant of long-term Post-COVID conditions among stroke survivors in the United States

Autor: Hejazian, Seyyed Sina, Sadr, Alireza Vafaei, Shahjouei, Shima, Vemuri, Ajith, Shouhao, Zhou, Abedi, Vida, Zand, Ramin

Publikováno v: In Journal of Stroke and Cerebrovascular Diseases December 2024 33(12)

Deep Learning in Searching the Spectroscopic Redshift of Quasars

Autor: Nia, F. Rastegar, Mirtorabi, M. T., Moradi, R., Sadr, A. Vafaei., Wang, Y.

Studying the cosmological sources at their cosmological rest-frames is crucial to track the cosmic history and properties of compact objects. In view of the increasing data volume of existing and upcoming telescopes/detectors, we here construct a 1--

Externí odkaz: http://arxiv.org/abs/2201.03393

The Hydrogen Intensity and Real-time Analysis eXperiment: 256-Element Array Status and Overview

Autor: Crichton, Devin, Aich, Moumita, Amara, Adam, Bandura, Kevin, Bassett, Bruce A., Bengaly, Carlos, Berner, Pascale, Bhatporia, Shruti, Bucher, Martin, Chang, Tzu-Ching, Chiang, H. Cynthia, Cliche, Jean-Francois, Crichton, Carolyn, Dave, Romeel, de Villiers, Dirk I. L., Dobbs, Matt A., Ewall-Wice, Aaron M., Eyono, Scott, Finlay, Christopher, Gaddam, Sindhu, Ganga, Ken, Gayley, Kevin G., Gerodias, Kit, Gibbon, Tim, Gumba, Austin, Gupta, Neeraj, Harris, Maile, Heilgendorf, Heiko, Hilton, Matt, Hincks, Adam D., Hitz, Pascal, Jalilvand, Mona, Julie, Roufurd, Kader, Zahra, Kania, Joseph, Karagiannis, Dionysios, Karastergiou, Aris, Kesebonye, Kabelo, Kittiwisit, Piyanat, Kneib, Jean-Paul, Knowles, Kenda, Kuhn, Emily R., Kunz, Martin, Maartens, Roy, MacKay, Vincent, MacPherson, Stuart, Monstein, Christian, Moodley, Kavilan, Mugundhan, V., Naidoo, Warren, Naidu, Arun, Newburgh, Laura B., Nistane, Viraj, Di Nitto, Amanda, Ölçek, Deniz, Pan, Xinyu, Paul, Sourabh, Peterson, Jeffrey B., Pieters, Elizabeth, Pieterse, Carla, Pillay, Aritha, Polish, Anna R., Randrianjanahary, Liantsoa, Refregier, Alexandre, Renard, Andre, Retana-Montenegro, Edwin, Rout, Ian H., Russeeawon, Cyndie, Sadr, Alireza Vafaei, Saliwanchik, Benjamin R. B., Sampath, Ajith, Sanghavi, Pranav, Santos, Mario G., Sengate, Onkabetse, Shaw, J. Richard, Sievers, Jonathan L., Smirnov, Oleg M., Smith, Kendrick M., Sob, Ulrich Armel Mbou, Srianand, Raghunathan, Stronkhorst, Pieter, Sunder, Dhaneshwar D., Tartakovsky, Simon, Taylor, Russ, Timbie, Peter, Tolley, Emma E., Townsend, Junaid, Tyndall, Will, Ungerer, Cornelius, van Dyk, Jacques, van Vuuren, Gary, Vanderlinde, Keith, Viant, Thierry, Walters, Anthony, Wang, Jingying, Weltman, Amanda, Woudt, Patrick, Wulf, Dallas, Zavyalov, Anatoly, Zhang, Zheng

Publikováno v: J. of Astronomical Telescopes, Instruments, and Systems, 8(1), 011019 (2022)

The Hydrogen Intensity and Real-time Analysis eXperiment (HIRAX) is a radio interferometer array currently in development, with an initial 256-element array to be deployed at the South African Radio Astronomy Observatory (SARAO) Square Kilometer Arra

Externí odkaz: http://arxiv.org/abs/2109.13755