CV evolution: AM Her binaries and the period gap

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages, 11 figures, to be published in MNRAS

Scientific paper

10.1046/j.1365-8711.2002.05495.x

AM Her variables -- synchronised magnetic cataclysmic variables (CVs) -- exhibit a different period distribution from other CVs across the period gap. We show that non-AM Her systems may infiltrate the longer-period end of the period gap if they are metal-deficient, but that the position and width of the gap in orbital period is otherwise insensitive to other binary parameters (excepting the normalisation of the braking rate). In AM Her binaries, magnetic braking is reduced as the wind from the secondary star may be trapped within the magnetosphere of the white dwarf primary. This reduced braking fills the period gap from its short-period end as the dipole magnetic moment of the white dwarf increases. The consistency of these models with the observed distribution of CVs, both AM Her and non-AM Her type, provides compelling evidence supporting magnetic braking as the agent of angular momentum loss among long-period CVs, and its disruption as the explanation of the 2 - 3 hour period gap among nonmagnetic CVs.

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

CV evolution: AM Her binaries and the period gap 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 CV evolution: AM Her binaries and the period gap, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and CV evolution: AM Her binaries and the period gap will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-280508

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