ORT/TSA 15-July-1996 A. Schwarzenberg-Czerny Purpose: Compute the analysis of variance (AOV) periodogram for the multiharmonic Fourier series fit. The periodogram contains values of the AOV statistic for the fit of the time series with the Fourier series. The fit is computed in the efficient way, by the projection onto a set of orthogonal trig polynomials. The expected value of the periodogram for a pure noise is 1, for uncorrelated observations, and 'ncorr', for correlated observations, where 'ncorr' is an average number of correlated observations. The the periodogram divided by its expected value has Fisher-Snedecor probability distribution F(2*order+1,nobs/ncorr-2*order-1), where 'nobs' is the number of observations and 'order' is the number of harmonics in the Fourier series. Thus the 'order'=1 case, corresponding to the sine+constant fit, resembles Lomb-Scargle Power Spectrum, except for the AOV statistics. For reference see Ap.J. 460, L107. Syntax: ORT/TSA intab outima start step nsteps [order] intab = name of input table, it must contain columns :TIME and :VALUE in DOUBLE PRECISION. For numerical reasons it is advisable to subtract from :VALUE its average value before computations. outima = name of output image; its first row contains the multiharmonic periodogramme, the second row contains residual power. start = start frequency of the periodogramme, in inverse units of :TIME step = frequency step of the periodogramme, in inverse units of :TIME nsteps = number of frequencies of the periodogramme order = number of harmonics in the Fourier series, 0 < order < 50. See also: SHOW/TSA, DFT/TSA, AOV/TSA, SCARGLE/TSA Note: By default 'intab', 'outima', 'start', 'step', 'nsteps' and 'order' retain their values from the last use of TSA commands, unless explicitly specified. See SET/TSA for details of this feature. For smooth light curves use low number of harmonics, e.g. 'order'=1 for best sensitivity. For many observations and light curves with sharp features (e.g. pulses, eclipses) use harmonics of width comparable to that of these features. This will boost sensitivity above that attainable with the Scargle method. Examples: ORT/TSA LCURVE PERIODG 0.01 0.01 100 4 ORT/TSA ? ? 0.2 0.0001 This second command may be used after the first example to inspect the frequency interval from 0.2 till 0.21 at higher resolution.