Light-curve modelling constraints on the obliquities and aspect angles of the young Fermi pulsars [HEAP]

http://arxiv.org/abs/1403.3849


In more than four years of observation the Large Area Telescope on board the Fermi satellite has identified pulsed {\gamma}-ray emission from more than 80 young pulsars, providing light curves with high statistics. Fitting the observations with geometrical models can provide estimates of the magnetic obliquity {\alpha} and aspect angle {\zeta}, yielding estimates of the radiation beaming factor and luminosity. Using {\gamma}-ray emission geometries (Polar Cap, Slot Gap, Outer Gap, One Pole Caustic) and radio emission geometry, we fit {\gamma}-ray light curves for 76 young pulsars and we jointly fit their {\gamma}-ray plus radio light curves when possible. We find that a joint radio plus {\gamma}-ray fit strategy is important to obtain ({\alpha}, {\zeta}) estimates that can explain simultaneous radio and {\gamma}-ray emission. The intermediate-to-high altitude magnetosphere models, Slot Gap, Outer Gap, and One pole Caustic, are favoured in explaining the observations. We find no evolution of {\alpha} on a time scale of a million years. For all emission geometries our derived {\gamma}-ray beaming factors are generally less than one and do not significantly evolve with the spin-down power. A more pronounced beaming factor vs. spin-down power correlation is observed for Slot Gap model and radio-quiet pulsars and for the Outer Gap model and radio-loud pulsars. For all models, the correlation between {\gamma}-ray luminosity and spin-down power is consistent with a square root dependence. The {\gamma}-ray luminosities obtained by using our beaming factors not exceed the spin-down power. This suggests that assuming a beaming factor of one for all objects, as done in other studies, likely overestimates the real values. The data show a relation between the pulsar spectral characteristics and the width of the accelerator gap that is consistent with the theoretical prediction for the Slot Gap model.

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M. Pierbattista, A. Harding, I. Grenier, et. al.
Tue, 18 Mar 14
49/62