Share on Facebook Share on Twitter Email
Answers.com

Mean anomaly

 
Wikipedia: Mean anomaly

In celestial mechanics, the mean anomaly is a parameter that defines the position of a body that is moving in a Kepler orbit. It is defined as the time since the last periapsis (closest approach to the central body) times 2π / T, where T is the duration of a full orbit.

The mean anomaly increases uniformly from 0 to radians during each orbit. However, it does not have any simple interpretation as a geometric angle; it is merely time measured in radians. Due to Kepler's second law, however, the mean anomaly is proportional to the area swept by the focus-to-body line since the last periapsis.

The mean anomaly is usually denoted by the letter M, and is also given by the formula

 M =  \sqrt{\frac{\mu } {a^3}} \,t    (1)

where a is the length of the orbit's semi-major axis and μ is the standard gravitational parameter.

The mean anomaly is one of three angular parameters ("anomalies") that define a position along an orbit; the other two being the eccentric anomaly and the true anomaly.

Formulas

The mean anomaly M can be computed from the eccentric anomaly E by the formula

M =  E - e \cdot \sin E    (2)

To find the position of the object in an elliptic Kepler orbit at a given time t, the corresponding mean anomaly is determined with (1) and then the corresponding eccentric anomaly is found by solving (2) numerically, e.g. with the Newton-Raphson algorithm.

See also

References

  • Murray, C. D. & Dermott, S. F. 1999, Solar System Dynamics, Cambridge University Press, Cambridge.
  • Plummer, H.C., 1960, An Introductory treatise on Dynamical Astronomy, Dover Publications, New York. (Reprint of the 1918 Cambridge University Press edition.)

Search unanswered questions...
Enter a question here...
Search: All sources Community Q&A Reference topics
 
 

 

Copyrights:

Wikipedia. This article is licensed under the Creative Commons Attribution/Share-Alike License. It uses material from the Wikipedia article "Mean anomaly" Read more