Up: On the automatic folding
We have successfully developed a robust and accurate automatic rotation
curve folder, and the crucial resources underwriting this success were
the PS data base of 900 folded rotation curves and the corresponding raw
data of MFB.
Additionally, there were five key points in the development:
- The knowledge, derived from an analysis of the PS sample (Roscoe 1999A)
that the exteriors of optical rotation curves conform to power laws,
,
to a very high statistical precision.
This information is fundamental to the mode-choosing strategy (see Sect. 7.1)
and the hole-cutting process;
- The availability of a measure of internal consistency in velocity measurements
in MFB's data base of unfolded rotation curves;
- The identification of an appropriate, Fourier-based, minimization principle;
- The recognition that the hole-cutting algorithm effectively partitions
rotation curves into two dynamically distinct regions - the interior one of
which has been identified as a dynamical transition region;
- The recognition that the class of transition regions on rotation curve
interiors appears to be partitioned into intrinsically quiet and intrinsically
noisy subclasses.
Furthermore, the intrinsically quiet and intrinsically noisy transition regions
referred to above appear to be preferentially associated with distinct regions
along the
axis of Fig. 6; this suggests that a study
which compares the archived CCD images of the galaxies observed by MFB with
the positions of those galaxies in Fig. 6 might be a very
worthwhile undertaking.
Finally, Appendix E shows that, in practice, there is no advantage
to be gained by using more than five Fourier modes for the folding process, whilst
the final Appendix makes various miscelleneous comments of a detailed nature.
Acknowledgements
I would like to thank Vince Ford, of MSO, for his help in making
available the original unreduced MFB rotation curve sample without which
this work would not have been possible.
Up: On the automatic folding
Copyright The European Southern Observatory (ESO)