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Exponential trend

The keyword sim:exp is given with five floating-point parameters. They specify

  1. the lower time limit,
  2. the upper time limit,
  3. the coefficient $E_0$,
  4. the time zeropoint $t_0$, and
  5. the exponent $X$.
The polynomial trend is generated by the relation
\begin{displaymath}
E\left( t\right) := E_0\,\mathrm{e}^{X\left( t-t_0\right)}\: .
\end{displaymath} (23)

If the lower and upper time limits are both set zero, the exponential trend is generated for the entire time base.

Figure 30: Time series generated by the simulator in the sample project sim-exp. The sampling represents the V photometry of IC4996#89. The simulator replaces the origninal observable by two exponential functions, one over the entire time base, and the other one on an interval between HJD$2452521.4532$ and HJD$2452526.8832$.
\includegraphics[clip,angle=0,width=110mm, clip]{eps/sim-exp.dat.eps}



Example. The sample project sim-exp contains the simulation and analysis of two exponential trends, one over the entire time base, one on a restricted time interval, corresponding to the lines

sim:exp 2521.4532 2526.8832 1.3256 2526.7384  0.65834
sim:exp    0         0      2.2841 2520.8562 -0.03425

in the file sim-exp.ini. The sampling of the V photometry of IC4996#89 is used, and the simulator replaces the original observable values, according to the line

sim:replace

The screen output contains the expression exponential trend to indicate that such a trend is generated. In this example, the entry is found twice. The resulting light curve is displayed in Fig.30.

SIGSPEC detects 54 significant signal components, which are not discussed here.


next up previous contents
Next: Serially correlated noise Up: The Built-in Simulator Previous: Polynomial trend   Contents
Piet Reegen 2009-09-23