Torque noise models for x-ray binaries

Baykal, Altan


Baykal, Altan; KIZILOGLU, U (1991-12-01)
The two component neutron star model and the response of the neutron star under the influence of external white torque noise are reviewed. A new simulation technique is developed for estimating the crust core coupling time and the moment of inertia of the superfluid in the neutron star from the irregularly sampled data. The model is applied to Vela X-1, since this source has a long period P = 283 s and theoretical estimates of crust-core coupling time which are proportional to P lie in the observable region...
Decision support for multi-attribute auctions
Karakaya, Gülşah; Köksalan, Murat; Department of Industrial Engineering (2013)
In this study, we address multi-attribute, multi-item auction problems. In multi-attribute auctions there are additional attributes to the price and the comparison of bids is not straightforward. In multi-item auctions which are also known as combinatorial auctions, it is not so trivial to determine the winning bidders. We develop an auction decision support system (ADSS) that supports sellers to bid on multiple items. We demonstrate our approach in a multi-attribute, multi-item reverse auction setting. The...
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Animoku, Abdulwahab; Uğur, Ömür; Department of Financial Mathematics (2018)
In this thesis, we investigate and implement advanced methods to quantify uncertain parameter(s) in Dupire local volatility equation. The advanced methods investigated are Bayesian and stochastic Galerkin methods. These advanced techniques implore different ideas in estimating the unknown parameters in PDEs. The Bayesian approach assumes the parameter is a random variable to be sampled from its posterior distribution. The posterior distribution of the parameter is constructed via “Bayes theorem of inverse p...
Stochastic modeling of earthquake occurrences and estimation of seismic hazard: random field approach
Akkaya (Dener), Ayşen; Yücemen, Mehmet Semih; Department of Statistics (1995)
Stochastic Momentum Methods For Optimal Control Problems Governed By Convection-diffusion Equations With Uncertain Coefficients
Toraman, Sıtkı Can; Yücel, Hamdullah; Department of Scientific Computing (2022-1-6)
Many physical phenomena such as the flow of an aircraft, heating process, or wave propagation are modeled mathematically by differential equations, in particular partial differential equations (PDEs). Analytical solutions to PDEs are often unknown or very hard to obtain. Because of that, we simulate such systems by numerical methods such as finite difference, finite volume, finite element, etc. When we want to control the behavior of certain system components, such as the shape of a wing of an aircraft or a...
Citation Formats
A. Baykal, “Torque noise models for x-ray binaries,” Ph.D. - Doctoral Program, Middle East Technical University, 1991.