Results 41 to 50 of about 403,268 (198)

Black-Hole Spin Dependence in the Light Curves of Tidal Disruption Events

, 2012
A star orbiting a supermassive black hole can be tidally disrupted if the black hole's gravitational tidal field exceeds the star's self gravity at pericenter.
A. C. Fabian, A. M. Beloborodov, A. Z. Petrov, A. Z. Petrov, B. Carter, E. S. Phinney, F. Hoyle, G. Lodato, J. Lense, J.-P. Luminet, Michael Kesden, N. Bade, P. W. Guilbert, R. Moderski, R. D. Blandford, R. M. Wald, S. Komossa, S. L. Shapiro   +17 more
core   +1 more source

An analytical description of the disruption of star clusters in tidal fields with an application to Galactic open clusters [PDF]

, 2005
We present a simple analytical description of the disruption of star clusters in a tidal field, which agrees excellently with detailed N-body simulations.
Alvensleben, Alvensleben, Bastian, Battinelli, Baumgardt, Baumgardt, Bertelli, Bik, Boutloukos, Bruzual, de Grijs, Girardi, H. Baumgardt, H. J. G. L. M. Lamers, Hunter, Hurley, Kharchenko, Kharchenko, Kharchenko, King, Kroupa, La Fuente Marcos, Lada, Lamers, Larsen, Leitherer, M. Gieles, N. Bastian, N. V. Kharchenko, Oort, Portegies Zwart, S. Portegies Zwart, Salpeter, Schaller, Terlevich, Vesperini, Zhang   +36 more
core   +2 more sources

High-beta disruption prediction study on HL-2A with instance-based transfer learning

Nuclear Fusion
Unmitigated disruptions pose a much more serious threat when large-scale tokamaks are operating in the high performance regime. Machine learning based disruption predictors can exhibit impressive performance.
Y. Zhong, W. Zheng, Z.Y. Chen, W. Yan, F. Xia, L.M. Yu, F.M. Xue, C.S. Shen, X.K. Ai, Z.Y. Yang, Y.L. Yu, Z.S. Nie, Y.H. Ding, Y.F. Liang, Z.P. Chen, J-TEXT Team   +15 more
doaj   +1 more source

DiPD: Disruptive event Prediction Dataset from Twitter

, 2021
Riots and protests, if gone out of control, can cause havoc in a country. We have seen examples of this, such as the BLM movement, climate strikes, CAA Movement, and many more, which caused disruption to a large extent. Our motive behind creating this dataset was to use it to develop machine learning systems that can give its users insight into the ...
Soni, Sanskar, Mehta, Dev, Vishwanath, Vinush, Seetha, Aditi, Chouhan, Satyendra Singh   +4 more
openaire   +2 more sources

Resolving the problem of galaxy clustering on small scales: any new physics needed?

, 2013
Galaxy clustering sets strong constraints on the physics governing galaxy formation and evolution.
Kang, Xi
core   +1 more source

Design and development of an off-normal warning system for SPARC

Nuclear Fusion
The SPARC tokamak is a compact, high-field, and high-current device that will rely on disruption mitigation and prevention strategies to address the risks associated with its high stored energy densities.
A.R. Saperstein, C. Rea, R. Sweeney, M.D. Boyer, G.L. Trevisan, Y. Wei, the MIT PSFC Disruptions Team   +6 more
doaj   +1 more source

Anticipating Railway Operation Disruption Events Based on the Analysis of Discrete-Event Diagnostic Data

Chemical Engineering Transactions, 2013
Public transport reliability is a highly important factor affecting passenger service quality, transportation mode choice, and operating costs. Unreliable service increases operating costs and reduces patronage.
O. Fink, E. Zio, U. Weidmann
doaj   +1 more source

Computation of inverse magnetic cascades [PDF]

, 1981
Inverse cascades of magnetic quantities for turbulent incompressible magnetohydrodynamics are reviewed, for two and three dimensions. The theory is extended to the Strauss equations, a description intermediate between two and three dimensions appropriate
Montgomery, D.
core   +1 more source

Real-time data-driven disruption prediction and its mitigation of MA-plasma experiments in KSTAR with a lower carbon divertor

Nuclear Fusion
Real-time disruption prediction and its mitigation of mega-ampere (MA) plasma experiments have been performed in the 2022 KSTAR carbon lower divertor condition.
Jeongwon Lee, Sang-hee Hahn, Hyunsun Han, Jayhyun Kim, June-Woo Juhn, Jun-Gyo Bak, Jae-in Song, YongUn Nam   +7 more
doaj   +1 more source

Globally disruptive events show predictable timing patterns [PDF]

International Journal of Astrobiology, 2016
AbstractGlobally disruptive events include asteroid/comet impacts, large igneous provinces and glaciations, all of which have been considered as contributors to mass extinctions. Understanding the overall relationship between the timings of the largest extinctions and their potential proximal causes remains one of science's great unsolved mysteries ...
Michael Gillman, Hilary E. Erenler
openaire   +2 more sources