The orthometric parameterisation of the Shapiro delay and an improved test of general relativity with binary pulsars

Details The orthometric parameterisation of the Shapiro delay and an improved test of general relativity with binary pulsars The orthometric parameterisation of the Shapiro delay and an improved test of general relativity with binary pulsars

2010-07-06

arxiv.org/abs/1007.0933v1

Astronomy and Astrophysics

Astrophysics

Instrumentation and Methods for Astrophysics

15 pages in emulate MNRAS format, 4 tables, 8 figures. Accepted for publication in MNRAS

Scientific paper

(abridged) In this paper, we express the relativistic propagational delay of light in the space-time of a binary system (commonly known as the "Shapiro delay") as a sum of harmonics of the orbital period of the system. We do this first for near-circular orbits as a natural expansion of an existing orbital model for low-eccentricity binary systems. The amplitudes of the 3rd and higher harmonics can be described by two new post-Keplerian (PK) parameters proportional to the amplitudes of the third and fourth harmonics (h_3, h_4). For high orbital inclinations we use a PK parameter proportional to the ratio of amplitudes of successive harmonics (sigma) instead of h_4. The new PK parameters are much less correlated with each other than r and s and provide a superior description of the constraints introduced by the Shapiro delay on the orbital inclination and the masses of the components of the binary (...). We extend the h_3,sigma parameterisation to eccentric binaries with high orbital inclinations. For some such binaries we can measure extra PK parameters and test general relativity using the Shapiro delay parameters. In this case we can use the measurement of h_3 as a test of general relativity. We show that this new test is not only more stringent than the r test, but it is even more stringent than the previous s test. Until now this new parametric test could only be derived statistically from an analysis of a probabilistic chi2 map.

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