4U 0115+63: phase lags and cyclotron resonant scattering

TL;DR

This study investigates how cyclotron resonant scattering influences the energy-dependent pulse profiles of the high mass X-ray binary 4U 0115+63, revealing phase-lags near cyclotron features and developing a relativistic model to interpret these effects.

Contribution

The paper introduces a relativistic ray-tracing model to explain phase-lags caused by cyclotron resonant scattering in X-ray pulsar pulse profiles.

Findings

Pulse profiles show phase-lags near cyclotron features.

Energy-dependent beaming explains observed phase-lags.

Model aligns with phase-resolved spectral analysis.

Abstract

High mass X-ray binaries are among the brightest objects of our Galaxy in the high energy domain (0.1-100 keV). Despite our relatively good knowledge of their basic emission mechanisms, the complex problem of understanding their time and energy dependent X-ray emission is not completely solved. <P> In this paper, we study the energy dependent pulse profiles of the high mass X-ray binary pulsar 4U 0115+63 to investigate how they are affected by cyclotron resonant scattering. <P> We analyze archival BeppoSAX and RXTE observations performed during the giant outburst of the source which occurred in 1999. We exploit a cross correlation technique to compare the pulse profiles in different energy ranges and develop a relativistic ray-tracing model to interpret our findings. We also study the phase dependency of the cyclotron absorption features by performing phase resolved spectroscopy. <P> The pulse profiles of 4U 0115+63 displayed clear "phase-lags" at energies close to those of the cyclotron absorption features that characterize the X-ray emission of the source. We reproduce qualitatively this phenomenon by assuming an energy dependent beaming of the emission from the column surface and verify that our model is also compatible with the results of phase resolved spectral analysis. <P> We showed that cyclotron resonant scattering affects the pulse profile formation mechanisms in a complex way, which necessitates both improvements in the modeling and the study of other sources to be better understood.