Can Rotational Properties of General Relativistic Compact Objects Be Predicted from Static Ones?

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

39 pages, including 7 figures, minor changes

Scientific paper

We propose an approximate description of basic parameters (radius, mass and oblateness) of general relativistic compact rotating objects in terms of the parameters of the static configuration and of the angular velocity only. The representation in terms of static properties is derived using the condition of stationary equilibrium together with some phenomenological assumptions. The predicted radius and mass of rotating neutron star (described by some realistic equations of state) and strange star (described by the bag model equation of state) are compared with data obtained by numerical integration of gravitational field equation. The obtained formulae also allow a simple derivation of the "empirical" equation relating the maximum rotation frequency $\Omega_{max}$ of uniformly rotating star models to the mass and radius of the maximum allowable mass configuration of the non-rotating model.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Can Rotational Properties of General Relativistic Compact Objects Be Predicted from Static Ones? does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Can Rotational Properties of General Relativistic Compact Objects Be Predicted from Static Ones?, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Can Rotational Properties of General Relativistic Compact Objects Be Predicted from Static Ones? will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-655722

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.