25,929 research outputs found
Jesus in Latin America
Reviewed Book: Sobrino, Jon. Jesus in Latin America. Maryknoll, NY: Orbis Books, 1987
American Indians and Christian Missions: Studies in Cultural Conflict
Reviewed Book: Bowden, Henry Warner. American Indians and Christian Missions: Studies in Cultural Conflict. [S.l.]: Univ of Chicago Press, 1981. Chicago History of American Religion
Broad iron lines in neutrons stars: dynamical broadening or wind scattering?
Broad iron emission lines are observed in many accreting systems from black
holes in AGN and X-ray binaries to neutron star low-mass X-ray binaries. The
origin of the line broadening is often interpreted as due to dynamical
broadening and relativistic effects. However, alternative interpretations have
been proposed, included broadening due to Compton scattering in a wind or
accretion disk atmosphere. Here we explore the observational signatures
expected from broadening in a wind, in particular that the iron line width
should increase with an increase in the column density of the absorber (due to
an increase in the number of scatterings). We study the data from three neutron
star low-mass X-ray binaries where both a broad iron emission line and
absorption lines are seen simultaneously, and show that there is no significant
correlation between line width and column density. This favors an inner disk
origin for the line broadening rather than scattering in a wind.Comment: 5 pages, 1 table, 5 figures, accepted for publication in Ap
Predictability of weather and climate in a coupled ocean-atmosphere model: A dynamical systems approach
A dynamical systems approach is used to quantify the instantaneous and time-averaged predictability of a low-order moist general circulation model. Specifically, the effects on predictability of incorporating an active ocean circulation, implementing annual solar forcing, and asynchronously coupling the ocean and atmosphere are evaluated. The predictability and structure of the model attractors is compared using the Lyapunov exponents, the local divergence rates, and the correlation, fractal, and Lyapunov dimensions. The Lyapunov exponents measure the average rate of growth of small perturbations on an attractor, while the local divergence rates quantify phase-spatial variations of predictability. These local rates are exploited to efficiently identify and distinguish subtle differences in predictability among attractors. In addition, the predictability of monthly averaged and yearly averaged states is investigated by using attractor reconstruction techniques
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