Astronomical Spectroscopy - Physics - University of Cincinnati
Astronomical Spectroscopy - Physics - University of Cincinnati
Astronomical Spectroscopy - Physics - University of Cincinnati
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3.2.7. Radial velocities and Velocity Dispersions<br />
Often the goal <strong>of</strong> the observations is to obtain radial velocities <strong>of</strong> the observed object.<br />
For this, one needs to obtained sufficient calibration to make sure that any flexure in the<br />
instrument is removed. Even bench-mounted instruments may “flex” as the liquid N 2 in<br />
the CCD dewar evaporates during the night. The safe approach is to make sure that the<br />
wavelength calibration spectra are observed both before and after a series <strong>of</strong> integrations,<br />
with the wavelength scale then interpolated.<br />
To obtain radial velocities themselves, the usual technique is to observe several radial<br />
velocity standard stars <strong>of</strong> spectral type similar to the object for which one wants the velocity,<br />
and then cross-correlate the spectrum <strong>of</strong> each standard with the spectrum <strong>of</strong> the object itself,<br />
averaging the result.<br />
Spectra are best prepared for this by normalizing and then subtracting 1 so that the<br />
continuum is zero. This way the continuum provides zero “signal” and the lines provide<br />
the greatest contrast in the cross-correlation. IRAF routines such as fxcor and rvsao will<br />
do this, as well as (in principle) preparing the spectra by normalizing and subtracting the<br />
continuum.<br />
One way <strong>of</strong> thinking <strong>of</strong> cross-correlation is to imagine the spectrum <strong>of</strong> the standard and<br />
the program object each contain a single spectral line. One then starts with an arbitrary<br />
<strong>of</strong>fset in wavelength and sums the two spectra. If the lines don’t match up, then the sum is<br />
going to be zero. One then shifts the velocity <strong>of</strong> one star slightly relative to the other and<br />
recomputes the sum. When the lines begin to line up, the cross-correlation will be non-zero,<br />
and when they are best aligned the cross-correlation is at a maximum. In practice such<br />
cross-correlation is done using Fourier transforms. The definitive reference to this technique<br />
can be found in Tonry & Davis (1979).<br />
The Earth is both rotating and revolving around the sun. Thus the Doppler shift <strong>of</strong><br />
an object has not only the object’s motion relative to the sun, but also whatever the radial<br />
component is <strong>of</strong> those two motions. This motion is known as the heliocentric correction. The<br />
rotation component is at most ± 0.5 km s −1 , while the orbital motion is at most ±29.8 km<br />
s −1 . Clearly the heliocentric correction will depend both on latitude, date, time <strong>of</strong> day, and<br />
the coordinates <strong>of</strong> the object. When one cross-correlates an observation <strong>of</strong> a radial velocity<br />
standard star against the spectrum <strong>of</strong> a program object, one has to subtract the standard<br />
star’s heliocentric correction from its cataloged value, and then add the program object’s<br />
heliocentric correction to the obtained relative velocity.<br />
It should be noted that cross-correlation is not always the most accurate method for<br />
measuring radial velocities. Very early-type stars (such as O-type stars) have so few lines