R: Brune Modeling

brune.doom {RSEIS} | R Documentation

## Brune Modeling

### Description

Modeling the Brune spectrum with Graphical Diagnostics

### Usage

    brune.doom(amp, dt = 1, f1 = 0.01, f2 = 15, PLOTB = FALSE, tit = "")

### Arguments

`amp` | signal
`dt` | deltaT
`f1` | low frequency for modeling
`f2` | high frequency for modeling
`PLOTB` | logical, TRUE=show diagnostic plots
`tit` | title for plot

### Value

List:

`SUCCESS` | (0,1) for success or failure of modeling
`WARN` | flag = "OK"
`tstar0` | tstar0
`gamma` | gamma
`omega0` | omega0
`fc` | fc
`alpha` | alpha
`chisqrd` | chi-squared misfit over region of fitting

### Author(s)

Jonathan M. Lees<jonathan.lees.edu>

### References

Lees, J. M. and G. T. Lindley (1994): Three-dimensional Attenuation Tomography at Loma Prieta:Inverting t* for Q, J. Geophys. Res., 99(B4), 6843-6863.

### Examples

    data(CE1)
    plot(CE1$x, CE1$y, type='l')
    Xamp = CE1$y[CE1$x>5.443754 & CE1$x<5.615951]

    BF = brune.doom( Xamp, CE1$dt ,f1=.5, f2=12 ,  PLOTB = TRUE)

[Package RSEIS version 3.7-4 Index]