The Doppler Method for the Detection of Exoplanets. Professor Artie Hatzes. Читать онлайн. Newlib. NEWLIB.NET

Автор: Professor Artie Hatzes
Издательство: Ingram
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Жанр произведения: Физика
Год издания: 0
isbn: 9780750316897
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s−1 on a slowly rotating star (image sin i ≈ 2 km s−1). If you observe the same type of star rotating at 50 km s−1 with the same spectrograph and at the same S/N, then your RV uncertainty will be a factor of 13 worse, or about 40 m−1.

      Formally, the curves can be fit by the function

      where V is the projected rotational velocity in km s−1.

      One can also use more simple relationships to scale between stars of different rotational velocities depending on whether you have slow or fast rotating stars.

      For typical resolving powers of spectrographs used for precise RV measurements, the RV precision due to stellar rotation scales as:

      for image sin i<2 km s−1,

image

      for image sin i>10 km s−1,

image

      For example, if you have an RV precision of 3 m s−1 on a star rotating at 2 km s−1, then you should get an RV precision of approximately 4 m s−1 on a star rotating at 5 km s−1. Likewise, a star rotating at 70 km s−1 will have an RV a factor of 2 larger than a star rotating at 40 km s−1.

      Note that the latter equation has a slightly higher dependence on image sin i than the rough approximation of image sin i given by Hatzes (2016). However, the linear expression probably is sufficient for getting a rough estimate of the uncertainty for rapidly rotating stars with image sin i>5 km s−1.

      The RV precision depends on the depth of the stellar line. Clearly, if your line is too weak it will get lost in the noise, and an RV measurement will be next to impossible. Let us define the depth, d, as a value from 0 to 1. A line with d = 1.0 has a depth that is 100% of the continuum, i.e., zero flux in the core of the line. A weak line with d<1.0 will produce a measurement error that is some factor, F, times the measurement error of the stronger line.

      Figure 3.8 shows a simulation of the Doppler measurement error as a function of spectral lines of fixed width, but varying depths. This simulation used an S/N = 50, but the results are insensitive to the exact S/N chosen. It shows that 1/F scales linearly with line depth. That is to say, if a line has a depth of one-fifth the continuum, it will have an RV measurement error that is five times greater than that of a line with a depth of 100% of the continuum.

image

      Figure 3.8. The inverse of the multiplicative factor in the RV uncertainty, F, as a function of line strength. (Blue triangles) The factor in the uncertainty for spectral lines of constant width, but a depth that is a fraction of the continuum value (top abscissa). (Red squares) The factor in the RV uncertainty as a function of equivalent width (lower abscissa) for a real spectral line. The best RV precision is for strong, unsaturated lines.

      However, real spectral lines do not have a depth that scales linearly with the line strength. Rather, these follow the so-called curve of growth. As one increases the line strength as measured by the equivalent width (EW), the line depth increases, but the width remains fairly constant (Figure 3.9). Once the line starts to saturate, the line depth remains constant, but the wings, and thus the line width, starts to increase. The triangles in Figure 3.8 show how the factor F varies with the EW for real spectral lines. At first, the curve follows the one for lines of fixed width, but after EW≈100 mÅ, the curve starts to flatten out. For the strongest lines, the RV uncertainty actually starts to increase with increasing line strength (Figure 3.8).

image

      Figure 3.9. The change in spectral line shape as a function of increasing line strength.

      This behavior can easily be understood in terms of how the RV uncertainty varies with line depth and widths. For weak spectral lines, the increase in EW is due primarily to an increase in the line depth, so the RV uncertainty follows the behavior in our simple simulation (squares in Figure 3.8). Once the line saturates, the line depth increases very slowly, but there is a more rapid increase in the width of the line. It is more difficult to determine the centroid of a broad line as opposed to a narrow line. Whatever gain in precision is achieved by a slightly deeper line is more than offset by the larger line width. In this case, a spectral line with an EW of 100 mÅ yields the same Doppler uncertainty as a line twice as strong. Finally, for the strongest lines, the increase in line width dominates, and the RV uncertainty actually increases with line strength. So, the largest Doppler information is found in strong, yet unsaturated, spectral lines.

      The Doppler precision not only depends on the wavelength of your spectrograph, but also on the number density of stellar absorption lines. The latter of course depends on the effective temperature of the star—hot stars have much fewer absorption features.

      The left panel of Figure 3.10 shows the approximate number of strong spectral lines in the wavelength range 4000–7500 Å1 as a function of the effective temperature of the star. This is for main-sequence stars in the effective temperature range Teff = 3500–10,000 K. Here we define a “strong” line has having a depth deeper than 50% of the continuum value.

image

      Figure 3.10. (Left) The number of strong lines (50% of the continuum) in the wavelength range 4000–7500 Å as a function of effective temperature, Teff, of the host star. The drop-off at lower temperatures is due to line blending at bluer wavelengths. (Right) The scale factor, F, in the RV uncertainty due to the line density as a function of Teff referenced to σ = 1 m s−1 at Teff = 5000 K. Over the temperature range 5000–10,000 K, this can be well fit by F=0.16e1.79(T/5000).

      The number of spectral lines increases sharply as the effective temperature decreases, but surprisingly, this flattens out at cooler temperatures. The reason for this is that for wavelengths less than about 5000 Å, cool stars simply have too many spectral lines. Line blending suppresses the continuum, causing even strong lines to have a relatively small depth. The line blending also results in few clean, isolated lines which provide the higher Doppler information.

      The right panel of Figure 3.10 shows the natural logarithm of the scaling factor for the RV uncertainty, F, as a function of effective temperature. Beyond a temperature of 5000 K, this follows a linear trend, so the scale factor for Teff<5000K can be well fit by the expression

      F=0.16e1.79(Teff/5000).(3.6)

      Therefore, a main-sequence star with Teff = 8000 K will have an RV uncertainty 2.8 times higher than a main-sequence star with Teff = 5000 K just from the decreased line density (same S/N and stellar rotational