pga_range = pgalims.max() - pgalims.min()
plt.figure(figsize=(5, 5))
#get predicted data
Rjb_pred = logspace(-1, 2)
M = M * ones(len(Rjb_pred))
vs30 = 720 * ones(len(Rjb_pred))
U = zeros(len(Rjb_pred))
NS = zeros(len(Rjb_pred))
RS = zeros(len(Rjb_pred))
SS = ones(len(Rjb_pred))
pred_pga, std_pga = gmpe_tools.bssa14(M,
Rjb_pred,
vs30,
SS=SS,
NS=NS,
RS=RS,
U=U,
intensity_measure='PGA')
ax = plt.gca()
ax.set_yscale('log')
ax.set_xscale('log')
k = 0
i = arange(46 * k, 46 * (k + 1))
plt.scatter(Rjb[i], PGA[i], lw=0.5, s=40, c='#DC143C')
k = 1
i = arange(46 * k, 46 * (k + 1))
plt.scatter(Rjb[i], PGA[i], lw=0.5, s=40, c='#32CD32')
k = 2
#Get theoretical GMPE
npts = 100
M = 5.3 * ones(npts)
Rjb = logspace(0, 2.5, npts)
U = zeros(npts)
SS = zeros(npts)
RS = zeros(npts)
NS = ones(npts)
vs30 = 760 * ones(npts)
#get intensities
pga_bssa14, stdev_pga = bssa14(M,
Rjb,
vs30,
U=U,
SS=SS,
RS=RS,
NS=NS,
Z1=None,
intensity_measure='PGA',
italy=True)
pgv_bssa14, stdev_pgv = bssa14(M,
Rjb,
vs30,
U=U,
SS=SS,
RS=RS,
NS=NS,
Z1=None,
intensity_measure='PGV',
italy=True)
Sa03_bssa14, stdev_Sa03 = bssa14(M,
from numpy import genfromtxt,ones,zeros,savetxt,c_
import gmpe_tools
from pyproj import Geod
lonlat=genfromtxt('/Users/dmelgar/Downloads/20160718-query.csv',usecols=[1,2],delimiter=',')
m=genfromtxt('/Users/dmelgar/Downloads/20160718-query.csv',usecols=[4],delimiter=',')
g=Geod(ellps='WGS84')
lonsta=-122.9090*ones(len(m))
latsta=39.1060*ones(len(m))
az,baz,dist=g.inv(lonsta,latsta,lonlat[:,1],lonlat[:,0])
dist=dist/1000
vs30=720*ones(len(m))
U=zeros(len(m))
NS=zeros(len(m))
RS=zeros(len(m))
SS=ones(len(m))
pga,stdpga=gmpe_tools.bssa14(m,dist,vs30,intensity_measure='PGA',U=U,NS=NS,RS=RS,SS=SS)
pgv,stdpgv=gmpe_tools.bssa14(m,dist,vs30,intensity_measure='PGV',U=U,NS=NS,RS=RS,SS=SS)
savetxt('/Users/dmelgar/Downloads/RMA_groundmotion.txt',c_[m,dist,pga,stdpga,pgv,stdpgv],fmt='%.2f\t%.2f\t%.4e\t%.4f\t%.4e\t%.4f',header='M, dist(km), PGA (g), sigma_PGA, PGV (cm/s), sigma_PGV')