Quantitative and Qualitative Models in Support of the Supraluminal Model of Pulsar Emission

Astronomy and Astrophysics – Astrophysics

Scientific paper

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Scientific paper

Maxwell's equations establish that patterns of electric charges and currents can be animated to travel faster than the speed of light in vacuo, and that these supraluminal distribution patterns emit tightly focused packets of electromagnetic radiation that are fundamentally different from the emissions by previously known terrestrial radiation sources. Since a pattern of electric polarization is not bound to charged particles (though effected by them), it can be made to move faster than light. Recent theoretical work, data gathered from ground-based astrophysics experiments, and the analysis of pulsar observational data all strongly suggest supraluminal polarization currents whose distribution pattern follows a circular orbit as the mechanism of pulsar radiation. Here we present numerical calculations of the radiation field generated by a localized charge - as well as ``bunches'' of such charges - in supraluminal rotation and compare our studies to astronomical observations of rapidly spinning, highly magnetized stellar remnants. We find that the radiated field has the following intrinsic characteristics: (i) it is sharply focused along a rigidly rotating spiral-shaped beam, (ii) it consists of either one or three concurrent polarization modes (depending on the relative position of the observer) that constitute contributions to the field from differing retarded times, (iii) it is highly elliptically polarized, (iv) the position angles of each of its linearly polarized modes swings across the beam by as much as 180 degrees, and (v) the position angles of two of its modes remain approximately orthogonal throughout their excursion across the beam. Our findings show that virtually all of the enigmatic features of pulsar radiation - the polarization properties, image structure and apparent radiation temperature as well as peak spectral frequencies - can be explained using a single, elegant model with few input parameters and no external assumptions.

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