Ejemplo n.º 1
0
 def setUp(self):
     filename = os.path.join(BASE_DATA_PATH,'completeness_test_cat.csv')
     parser0 = CsvCatalogueParser(filename)
     self.catalogue = parser0.read_file()
     self.config = {'maximum_iterations': 1000,
                    'number_earthquakes': 100,
                    'number_samples': 51,
                    'tolerance': 0.05}
     self.model = KijkoNonParametricGaussian()
Ejemplo n.º 2
0
}

mmax_ksb = KijkoSellevolBayes()

mmax, mmax_sigma = mmax_ksb.get_mmax(catalogue, mmax_config)

print 'Mmax = %8.3f +/- %8.3f' % (mmax, mmax_sigma)

# In[ ]:

mmax_config = {
    'number_earthquakes':
    100,  # Selects the N largest earthquakes in the catalogue for analysis
    'input_mmax': None,
    'input_mmax_uncertainty': 0.5
}

mmax_knpg = KijkoNonParametricGaussian()
mmax, mmax_sigma = mmax_knpg.get_mmax(catalogue, mmax_config)
print 'Mmax = %8.3f +/- %8.3f' % (mmax, mmax_sigma)

# In[ ]:

mmax_config = {
    'number_bootstraps': 1000
}  # Number of samples for the uncertainty analyis

mmax_cum_mo = CumulativeMoment()
mmax, mmax_sigma = mmax_cum_mo.get_mmax(catalogue, mmax_config)
print 'Mmax = %8.3f +/- %8.3f' % (mmax, mmax_sigma)