4 results on '"Zsuzsa Marka"'
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2. Enabling Real-time Multi-messenger Astrophysics Discoveries with Deep Learning
- Author
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E A Huerta, Gabrielle Allen, Igor Andreoni, Javier M Antelis, Etienne Bachelet, G Bruce Berriman, Federica B Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S Cowperthwaite, Zacariah B Etienne, Maya Fishbach, Francisco Forster, Daniel George, Tom Gibbs, Matthew Graham, William Gropp, Robert Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W G Johnson, Erik Katsavounidis, Daniel S Katz, Asad Khan, Volodymyr Kindratenko, William T C Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Marka, Kenton McHenry, J M Miller, Claudia Moreno, M S Neubauer, Steve Oberlin, Alexander Rolivas Jr, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F Schutz, Alex Schwing, Ed Seidel, Stuart L Shapiro, Hongyu Shen, Yue Shen, Leo P Singer, Brigitta M Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J Williams, Jinjun Xiong, and Zhizhen Zhao
- Subjects
Astrophysics - Abstract
Multi-messenger astrophysics is a fast-growing, interdisciplinary field that combines data, which vary in volume and speed of data processing, from many different instruments that probe the Universe using different cosmic messengers: electromagnetic waves, cosmic rays, gravitational waves and neutrinos. In this Expert Recommendation, we review the key challenges of real-time observations of gravitational wave sources and their electromagnetic and astroparticle counterparts, and make a number of recommendations to maximize their potential for scientific discovery. These recommendations refer to the design of scalable and computationally efficient machine learning algorithms; the cyber-infrastructure to numerically simulate astrophysical sources, and to process and interpret multi-messenger astrophysics data; the management of gravitational wave detections to trigger real-time alerts for electromagnetic and astroparticle follow-ups; a vision to harness future developments of machine learning and cyber-infrastructure resources to cope with the big-data requirements; and the need to build a community of experts to realize the goals of multi-messenger astrophysics.
- Published
- 2019
- Full Text
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3. High-Energy and Ultra-High-Energy Neutrinos: A Snowmass White Paper
- Author
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Markus Ackermann, Mauricio Bustamante, Lu Lu, Nepomuk Otte, Mary Hall Reno, Stephanie Wissel, Sanjib K. Agarwalla, Jaime Alvarez-Muñiz, Rafael Alves Batista, Carlos A. Argüelles, Brian A. Clark, Austin Cummings, Sudipta Das, Valentin Decoene, Peter B. Denton, Damien Dornic, Zhan-Arys Dzhilkibaev, Yasaman Farzan, Alfonso Garcia, Maria Vittoria Garzelli, Christian Glaser, Aart Heijboer, Jörg R. Hörandel, Giulia Illuminati, Yu Seon Jeong, John L. Kelley, Kevin J. Kelly, Ali Kheirandish, Spencer R. Klein, John F. Krizmanic, Michael J. Larson, Kohta Murase, Ashish Narang, Remy L. Prechelt, Steven Prohira, Elisa Resconi, Marcos Santander, Victor B. Valera, Justin Vandenbroucke, Olga Vasil'evna Suvorova, Lawrence Wiencke, Shigeru Yoshida, Tianlu Yuan, Enrique Zas, Pavel Zhelnin, Bei Zhou, Luis A. Anchordoqui, Yosuke Ashida, Mahdi Bagheri, Aswathi Balagopal, Vedant Basu, James Beatty, Keith Bechtol, Nicole Bell, Abigail Bishop, Julia Book, Anthony Brown, Alexander Burgman, Michael Campana, Nhan Chau, Thomas Y. Chen, Alan Coleman, Amy Connolly, Janet M. Conrad, Pablo Correa, Cyril Creque-Sarbinowski, Zachary Curtis-Ginsberg, Paramita Dasgupta, Simon De Kockere, Krijn de Vries, Cosmin Deaconu, Abhishek Desai, Tyce DeYoung, Armando di Matteo, Dominik Elsaesser, Phillip Fürst, Kwok Lung Fan, Anatoli Fedynitch, Derek Fox, Erik Ganster, Martin Ha Minh, Christian Haack, Steffen Hallman, Francis Halzen, Andreas Haungs, Aya Ishihara, Eleanor Judd, Timo Karg, Albrecht Karle, Teppei Katori, Alina Kochocki, Claudio Kopper, Marek Kowalski, Ilya Kravchenko, Naoko Kurahashi, Mathieu Lamoureux, Hermes León Vargas, Massimiliano Lincetto, Qinrui Liu, Jim Madsen, Yuya Makino, Joseph Mammo, Zsuzsa Marka, Eric Mayotte, Kevin Meagher, Maximilian Meier, Lino Miramonti, Marjon Moulai, Katharine Mulrey, Marco Muzio, Richard Naab, Anna Nelles, William Nichols, Alisa Nozdrina, Erin O'Sullivan, Vivian OD́ell, Jesse Osborne, Vishvas Pandey, Ek Narayan Paudel, Alex Pizzuto, Mattias Plum, Carlos Pobes Aranda, Lilly Pyras, Christoph Raab, Zoe Rechav, Juan Rojo, Oscar Romero Matamala, Pierpaolo Savina, Frank Schroeder, Lisa Schumacher, Sergio Sciutto, Stephen Sclafani, Mohammad Ful Hossain Seikh, Manuel Silva, Rajeev Singh, Daniel Smith, Samuel Timothy Spencer, Robert Wayne Springer, Juliana Stachurska, Olga Suvorova, Ignacio Taboada, Simona Toscano, Matias Tueros, Jean Pierre Twagirayezu, Nick van Eijndhoven, Péter Veres, Abigail Vieregg, Winnie Wang, Nathan Whitehorn, Walter Winter, Emre Yildizci, Shiqi Yu, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Faculty of Sciences and Bioengineering Sciences, Elementary Particle Physics, and Physics
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Astrophysics and Astronomy ,neutrino: energy: high ,Astronomy ,Astrophysics::High Energy Astrophysical Phenomena ,Baikal ,WIMP: dark matter ,neutrino: flux ,IceCube ,neutrino: decay ,neutrino: energy ,[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex] ,neutrino: supernova ,numerical calculations ,KM3NeT ,Particle Physics - Phenomenology ,astro-ph.HE ,new physics ,hep-ex ,ANITA ,Astronomy and Astrophysics ,hep-ph ,neutrino: UHE ,neutrino: propagation ,neutrino: detector ,Space and Planetary Science ,[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph] ,[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] ,Particle Physics - Experiment - Abstract
Astrophysical neutrinos are excellent probes of astroparticle physics and high-energy physics. With energies far beyond solar, supernovae, atmospheric, and accelerator neutrinos, high-energy and ultra-high-energy neutrinos probe fundamental physics from the TeV scale to the EeV scale and beyond. They are sensitive to physics both within and beyond the Standard Model through their production mechanisms and in their propagation over cosmological distances. They carry unique information about their extreme non-thermal sources by giving insight into regions that are opaque to electromagnetic radiation. This white paper describes the opportunities astrophysical neutrino observations offer for astrophysics and high-energy physics, today and in coming years. Astrophysical neutrinos are excellent probes of astroparticle physics and high-energy physics. With energies far beyond solar, supernovae, atmospheric, and accelerator neutrinos, high-energy and ultra-high-energy neutrinos probe fundamental physics from the TeV scale to the EeV scale and beyond. They are sensitive to physics both within and beyond the Standard Model through their production mechanisms and in their propagation over cosmological distances. They carry unique information about their extreme non-thermal sources by giving insight into regions that are opaque to electromagnetic radiation. This white paper describes the opportunities astrophysical neutrino observations offer for astrophysics and high-energy physics, today and in coming years.
- Published
- 2022
- Full Text
- View/download PDF
4. Potential COVID-19 therapeutics from a rare disease: weaponizing lipid dysregulation to combat viral infectivity
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Stephen L. Sturley, Tamayanthi Rajakumar, Natalie Hammond, Katsumi Higaki, Zsuzsa Márka, Szabolcs Márka, and Andrew B. Munkacsi
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severe acute respiratory syndrome coronavirus 2 ,cholesterol ,cholesterol trafficking ,lysosomal storage disease ,Niemann-Pick disease ,dyslipidemias ,Biochemistry ,QD415-436 - Abstract
The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus (SARS-CoV)-2 has resulted in the death of more than 328,000 persons worldwide in the first 5 months of 2020. Herculean efforts to rapidly design and produce vaccines and other antiviral interventions are ongoing. However, newly evolving viral mutations, the prospect of only temporary immunity, and a long path to regulatory approval pose significant challenges and call for a common, readily available, and inexpensive treatment. Strategic drug repurposing combined with rapid testing of established molecular targets could provide a pause in disease progression. SARS-CoV-2 shares extensive structural and functional conservation with SARS-CoV-1, including engagement of the same host cell receptor (angiotensin-converting enzyme 2) localized in cholesterol-rich microdomains. These lipid-enveloped viruses encounter the endosomal/lysosomal host compartment in a critical step of infection and maturation. Niemann-Pick type C (NP-C) disease is a rare monogenic neurodegenerative disease caused by deficient efflux of lipids from the late endosome/lysosome (LE/L). The NP-C disease-causing gene (NPC1) has been strongly associated with viral infection, both as a filovirus receptor (e.g., Ebola) and through LE/L lipid trafficking. This suggests that NPC1 inhibitors or NP-C disease mimetics could serve as anti-SARS-CoV-2 agents. Fortunately, there are such clinically approved molecules that elicit antiviral activity in preclinical studies, without causing NP-C disease. Inhibition of NPC1 may impair viral SARS-CoV-2 infectivity via several lipid-dependent mechanisms, which disturb the microenvironment optimum for viral infectivity. We suggest that known mechanistic information on NPC1 could be utilized to identify existing and future drugs to treat COVID-19.
- Published
- 2020
- Full Text
- View/download PDF
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