Rapidly Rotating Objects
WHEN IS ROTATION EXPECTED TO BE IMPORTANT?
Rotation may be important during transient phases of a star's life;
for example, during the star birthing process (the
collapse and formation phase), and, perhaps, near the
end of the normal life of a star (that is,
during the collapse to a white dwarf,
neutron star, or the black hole condition).
Rotation rotation may become important during these phases if
angular momentum is conserved.
In this event, we can argue that
I (6.28/P) = Jo = constant ===> (P/Po) =
(R/Ro)2
where I is the moment of inertia of the star, P is the rotation
period of the star, and J is the angular momentum of the star.
We see that the centrifugal force increases with a decrease in
the radius of the star R faster than does gravity.
Astrophysical Scenarios:
- Star Formation: A low density interstellar medium cloud compresses from a
density of 10-20 g/cc to 100 g/cc with a predicted humongous
increase in spin rate. This raises another question,
Since
stars are essentially nonrotating, where's the angular momentum?
The clear answer is that it goes in to orbital motion either through
binary formation, planetary formation, or disk formation.
We return to this issue later.
- Collapse of the cores of massive stars and
the formation of compact objects such as neutron
stars or black holes. Central cores of massive stars (with initial radius 1,000
km) collapse to form compact objects with radius < 10 to 20 km. If any rotation
is present, the outcome of the collapse is severely affected; e.g.,
Fizzlers.
- Merger of Close Binary Systems: In
merger of close binaries (New & Tohline), the
merging object, by necessity, contains a large amount of angular
momentum which affects how the merger process takes place. Binary
merger in systems with compact objects (neutron stars and white dwarfs)
have been proposed as explanations for many exotic phenomena, gamma-ray burst
sources, Type I Supernovae, sources of GR (for LIGO), ... .
All of the above are complex physical problems whose study is feasible only
through the use of supercomputers. Even then,
one works right on the edge of what is do-able (technologically speaking)
because of the physical complexity of the problem
==> mistakes are easily made (and, in fact, bound to be made).