import modesum import vmodel import numpy as np dset1 = modesum.modesumASDF() model = vmodel.Model1d(modelindex=2, earthindex=2) model.ak135() dset1.getmodel(inmodel=model) dset1.run_disp(workingdir='/home/leon/code/CPSPy/test_spherical', outfname='/home/leon/code/CPSPy/test_spherical.asdf', nmodes=2, period=[10, 20, 30, 40, 50, 60, 70, 80, 90, 100]) # dset1.run_disp(workingdir='/home/leon/code/CPSPy/test_spherical', outfname='/home/leon/code/CPSPy/test_spherical.asdf', nmodes=2, # period=[10, 20, 30, 40, 50, 60, 70, 80, 90, 100]) # dset1.run_eigen(hs=10., infname='/home/leon/code/CPSPy/test_spherical.asdf', outfname='/home/leon/code/CPSPy/test_spherical.asdf') # dset1.write_disp('test.txt') # dset2 = modesum.modesumASDF() # model=vmodel.Model1d(modelindex=1, earthindex=1) # model.ak135() # dset2.getmodel(inmodel=model) # dset2.run_disp(workingdir='/home/leon/code/CPSPy/test_flat', outfname='/home/leon/code/CPSPy/test_flat.asdf', nmodes=2, # period=[10, 20, 30, 40, 50, 60, 70, 80, 90, 100]) # dset2.run_eigen(hs=0., infname='/home/leon/code/CPSPy/test_flat.asdf', outfname='/home/leon/code/CPSPy/test_flat.asdf') # # dset.run_disp(workingdir='/home/leon/code/CPSPy/test_modesum_iso', outfname='/home/leon/code/CPSPy/eigen002.asdf', nmodes=2, period=[10, 20, 30, 40]) # dset.run_eigen(hs=0., infname='/home/leon/code/CPSPy/eigen002.asdf', outfname='/home/leon/code/CPSPy/eigen002.asdf') # dset.load('./kerneltest_ti_0.asdf') # dset.plot_eigen(wavetype='ray', period=10., dtype='dcdav', zmax=120, showfig=False) # dset.plot_eigen(wavetype='ray', period=20., dtype='dcdav', zmax=120, showfig=False, newfig=False)
import modesum, vmodel import matplotlib.pyplot as plt run =1 per=[10., 15., 20., 25., 30., 35., 40] datatype='vph' dm=-0.04 zmax=10. wavetype='Love' wavetype='Rayleigh' dset0 = modesum.modesumASDF() # dset0.getmodel(h=1, zmax=200., modelindex=2) dset0.load('/home/leon/code/CPSPy/kerneltest_ti_0.asdf') d1, d2 = dset0.test_derivative( zmax=100., period=10., mode=0) fig, ax=plt.subplots() plt.plot(d1, 'x--', lw=3, ms=10, label='m0') plt.plot(d2, 'o', ms=10, label='m0 kernel predicted') # # model1 = dset0.model1d.copy() # model1.perturb(zmax=zmax, dm=dm, datatype=datatype) # # dset0.perturb(inmodel=dset0.model1d.copy(), wavetype='ray', perlst=[10., 20., 30., 40]) # # dset1 = modesum.modesumASDF() # dset1.getmodel(inmodel=model1)
import modesum, vmodel import matplotlib.pyplot as plt import numpy as np import os run =1 per=[10., 15., 20., 25., 30., 35., 40] dm=-0.05 zmax=20. wavetype='love' wavetype='ray' dti0 = modesum.modesumASDF() mti = vmodel.Model1d(modelindex=2) mti.ak135() mti.trim(zmax=400.) dti0.getmodel(h=1, zmax=200., modelindex=2) # dti0.getmodel(inmodel=mti) if run: dti0.run_disp(workingdir='/home/leon/code/CPSPy/benchmark_ti_iso', outfname='/home/leon/code/CPSPy/benchmark_ti_0.asdf', nmodes=1, period=per) dti0.run_eigen(infname='/home/leon/code/CPSPy/benchmark_ti_0.asdf', outfname='/home/leon/code/CPSPy/benchmark_ti_0.asdf') dti0.del_dir() os.chdir('/home/leon/code/CPSPy') diso0 = modesum.modesumASDF() # miso = vmodel.Model1d(modelindex=1) # miso.ak135() # miso.trim(zmax=400.)
import modesum import vmodel dset = modesum.modesumASDF() model = vmodel.Model1d(modelindex=2, earthindex=2) model.ak135() dset.getmodel(inmodel=model) dset.run_disp(workingdir='/home/leon/code/CPSPy/test_synthetic_spherical', outfname='/home/leon/code/CPSPy/test_synthetic_spherical.asdf', nmodes=1) dset.run_eigen(hs=10., runtype='SYN', infname='/home/leon/code/CPSPy/test_synthetic_spherical.asdf', outfname='/home/leon/code/CPSPy/test_synthetic_spherical.asdf') dset.run_pulse(infname='/home/leon/code/CPSPy/test_synthetic_spherical.asdf', run=True)
import modesum import vmodel dset = modesum.modesumASDF() model = vmodel.Model1d(modelindex=2, earthindex=2) model.read_axisem_bm('/home/leon/code/axisem/SOLVER/MESHES/prem_aniso_10s/1dmodel_axisem.bm') # model.trim(zmax=1000.) dset.getmodel(inmodel=model) dset.run_disp(workingdir='/home/leon/code/CPSPy/axisem_benchmark', outfname='/home/leon/code/CPSPy/axisem_benchmark.asdf', nmodes=1) dset.run_eigen(hs=10., runtype='SYN', infname='/home/leon/code/CPSPy/axisem_benchmark.asdf', outfname='/home/leon/code/CPSPy/axisem_benchmark.asdf', run=True) # dset.run_pulse(infname='/home/leon/code/CPSPy/axisem_benchmark.asdf', run=False, dist0=1000, Nd=1)
import modesum, vmodel import matplotlib.pyplot as plt import numpy as np run = 1 per = [10., 15., 20., 25., 30., 35., 40] datatype = 'vph' dm = -0.01 zmax = 10. wavetype = 'Love' wavetype = 'Rayleigh' dset0 = modesum.modesumASDF() dset0.getmodel(h=1, zmax=200., modelindex=2) dset0.model1d.earthtype = 'FLAT EARTH' if run: dset0.run_disp(workingdir='/home/leon/code/CPSPy/kerneltest_ti', outfname='/home/leon/code/CPSPy/kerneltest_ti_0.asdf', nmodes=1, period=per) dset0.run_eigen(infname='/home/leon/code/CPSPy/kerneltest_ti_0.asdf', outfname='/home/leon/code/CPSPy/kerneltest_ti_0.asdf') dset0.load('/home/leon/code/CPSPy/kerneltest_ti_0.asdf') model1 = dset0.model1d.copy() model1.perturb(zmax=zmax, dm=dm, datatype=datatype) # dset0.perturb(inmodel=dset0.model1d.copy(), wavetype='ray', perlst=[10., 20., 30., 40]) # # dset1 = modesum.modesumASDF() # dset1.getmodel(inmodel=model1) # if run: # dset1.run_disp(workingdir='/home/leon/code/CPSPy/kerneltest_ti', outfname='/home/leon/code/CPSPy/kerneltest_ti_1.asdf', nmodes=1,
import modesum import vmodel import numpy as np dset1 = modesum.modesumASDF() model = vmodel.Model1d(modelindex=2, earthindex=2) model.ak135() dset1.getmodel(inmodel=model) dset1.run_disp(workingdir='/home/leon/code/CPSPy/test_spherical', outfname='/home/leon/code/CPSPy/test_spherical.asdf', nmodes=2, period=[10, 20, 30, 40, 50, 60, 70, 80, 90, 100]) # dset1.run_disp(workingdir='/home/leon/code/CPSPy/test_spherical', outfname='/home/leon/code/CPSPy/test_spherical.asdf', nmodes=2, # period=[10, 20, 30, 40, 50, 60, 70, 80, 90, 100]) # dset1.run_eigen(hs=10., infname='/home/leon/code/CPSPy/test_spherical.asdf', outfname='/home/leon/code/CPSPy/test_spherical.asdf') # dset1.write_disp('test.txt') # dset2 = modesum.modesumASDF() # model=vmodel.Model1d(modelindex=1, earthindex=1) # model.ak135() # dset2.getmodel(inmodel=model) # dset2.run_disp(workingdir='/home/leon/code/CPSPy/test_flat', outfname='/home/leon/code/CPSPy/test_flat.asdf', nmodes=2, # period=[10, 20, 30, 40, 50, 60, 70, 80, 90, 100]) # dset2.run_eigen(hs=0., infname='/home/leon/code/CPSPy/test_flat.asdf', outfname='/home/leon/code/CPSPy/test_flat.asdf') # # dset.run_disp(workingdir='/home/leon/code/CPSPy/test_modesum_iso', outfname='/home/leon/code/CPSPy/eigen002.asdf', nmodes=2, period=[10, 20, 30, 40]) # dset.run_eigen(hs=0., infname='/home/leon/code/CPSPy/eigen002.asdf', outfname='/home/leon/code/CPSPy/eigen002.asdf') # dset.load('./kerneltest_ti_0.asdf') # dset.plot_eigen(wavetype='ray', period=10., dtype='dcdav', zmax=120, showfig=False)