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To more accurately represent the spectrum of the data you can use narrower energy bands - such as the soft, medium, and hard bands used to create Figure 3 - or use a spectral weights file to weight the exposure map by a source spectrum.
Instead, a subevent is modeled by a source spectrum that follows the omega-square model (Aki and Richards 2002).
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The pyBLoCXS routine requires information about a fit to a data set in order to run; therefore, we begin by loading a source spectrum into Sherpa, fitting a model to it, and calculating confidence intervals on thawed parameters using the covariance method.
(ii) We estimate a source spectrum by the method defined in (29) and use it to simulate the replica field. .
We estimate a source spectrum by the method defined in (29) and use it to simulate the replica field.
Extract a source spectrum from a circular region, usually about 2 arcsec in radius (e.g. by following the Extract Spectrum and Response Files for a Pointlike Source).
Readings not arising from shear waves cannot essentially be modeled by a general source spectrum as used here.
A simulation with this point-source model is conducted by combining a simple source spectrum following the omega-square model with a path spectrum, an empirical site amplification factor, and phase characteristics.
The ARF and RMF response files associated with dataset 1 are loaded directly with fake_pha and used to simulate a 50ks source spectrum, ungrouped by default, and without a background component.
The red line indicates the spectrum of the signal divided by the source spectrum, and the black dashed line denotes the regression line, which is given in Eq. (3) in the main text.
The target spectral evolution is modeled as a hidden Markov process, tracked by using the source spectrum, modeled as the observed process.
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