56,606 research outputs found

    Thermonuclear burst oscillations

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    Burst oscillations, a phenomenon observed in a significant fraction of Type I (thermonuclear) X-ray bursts, involve the development of highly asymmetric brightness patches in the burning surface layers of accreting neutron stars. Intrinsically interesting as nuclear phenomena, they are also important as probes of dense matter physics and the strong gravity, high magnetic field environment of the neutron star surface. Burst oscillation frequency is also used to measure stellar spin, and doubles the sample of rapidly rotating (above 10 Hz) accreting neutron stars with known spins. Although the mechanism remains mysterious, burst oscillation models must take into account thermonuclear flame spread, nuclear processes, rapid rotation, and the dynamical role of the magnetic field. This review provides a comprehensive summary of the observational properties of burst oscillations, an assessment of the status of the theoretical models that are being developed to explain them, and an overview of how they can be used to constrain neutron star properties such as spin, mass and radius.Comment: Preprint of article submitted to Annual Reviews of Astronomy and Astrophysics (2012). 35 page

    Constraining the neutron star equation of state using Pulse Profile Modeling

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    One very promising technique for measuring the dense matter Equation of State exploits hotspots that form on the neutron star surface due to the pulsar mechanism, accretion streams, or during thermonuclear explosions in the neutron star ocean. This article explains how Pulse Profile Modeling of hotspots is being used by the Neutron Star Interior Composition Explorer (NICER), an X-ray telescope installed on the International Space Station in 2017 - and why the technique is a mission driver for the next, larger-area generation of telescopes including the enhanced X-ray Timing and Polarimetry (eXTP) mission and the Spectroscopic Time-Resolving Observatory for Broadband Energy X-rays (STROBE-X).Comment: To appear in the AIP Conference Proceedings of the Xiamen-CUSTIPEN Workshop on the EOS of Dense Neutron-Rich Matter in the Era of Gravitational Wave Astronomy (January 3 - 7, 2019, Xiamen, China

    The “Kaleidoscope of Life”: Story as Vital for Values Education

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    Educators and the general American public continue to favor character education programs in public schools, but many are unsure how best to teach values. Currently, and in the past, literature-based approaches to character education have received advocacy because of the values stories contain and because of the nature of story itself. Story is universal and uniquely character-molding and is a time-honored method to fostering understanding. This fact can be gleamed in religious and secular traditions alike, having been used and advocated by as wide array of individuals as Jesus Christ and N. Scott Momaday. Numerous bases—spiritual, historical, psychological, and philosophical—exist for using story. Stories are powerful, emotionally provocative, and effective not only in exploring the meaning of various values, but also in providing particular benefits, such as organizing ideas or enhancing awareness. For these reasons, literature-based approaches to character education can become the ideal foundation for imparting an understanding of universally esteemed values and building character traits

    Foreground removal for Square Kilometre Array observations of the Epoch of Reionization with the Correlated Component Analysis

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    We apply the Correlated Component Analysis (CCA) method on simulated data of the Square Kilometre Array, with the aim of accurately cleaning the 21 cm reionization signal from diffuse foreground contamination. The CCA has been developed for the Cosmic Microwave Background, but the application of the Fourier-domain implementation of this method to the reionization signal is straightforward. The CCA is a parametric method to estimate the frequency behaviour of the foregrounds from the data by using second-order statistics. We test its performance on foreground simulations of increasing complexity, designed to challenge the parametric models adopted. We also drop the assumption of spectral smoothness that most of the methods rely upon. We are able to clean effectively the simulated data across the explored frequency range (100-200 MHz) for all the foreground simulations. This shows that the CCA method is very promising for EoR component separation.Comment: 12 pages, 15 figures, accepted by MNRA

    Cognitive Modelling in HCI Research

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