def B_term(r, z, *p):
n1, a1, b1 = p
br, bz = rt1.bvec(r, z, separatrix)
bb = np.sqrt(br**2 + bz**2)
if rt1.check_coilcase(r, z):
return 0.0
else:
return (bb / rt1.b0(r, z, separatrix))**(-b1)
def ne_single_gaussian(r, z, *p): n1, a1, b1, rm = p br, bz = rt1.bvec(r, z, separatrix) bb = np.sqrt(br**2 + bz**2) if r == 0.0: return n1 * np.exp(-a1 * abs((rt1.psi(r, 0.0, separatrix)-psix)/psi0)**2) if rt1.check_coilcase(r, z): return 0.0 else: return n1 * np.exp(-a1*abs((rt1.psi(r, z, separatrix) - psix)/psi0)**2) * (bb/rt1.b0(r, z, separatrix))**(-b1)
psi_z620 = np.zeros(len(z620))
psi_z700 = np.zeros(len(z700))
bb620 = np.zeros(len(z620))
bb700 = np.zeros(len(z700))
b0620 = np.zeros(len(z620))
b0700 = np.zeros(len(z700))
for i, x in enumerate(x450):
rx = np.sqrt(x**2 + r450_para**2)
psi_x450[i] = rt1.psi(rx, 0.0, separatrix)
for j, z in enumerate(z620):
psi_z620[j] = rt1.psi(r620_perp, z, separatrix)
br, bz = rt1.bvec(r620_perp, z, separatrix)
bb620[j] = np.sqrt(br**2 + bz**2)
b0620[j] = rt1.b0(r620_perp, z, separatrix)
for j, z in enumerate(z700):
psi_z700[j] = rt1.psi(r700_perp, z, separatrix)
br, bz = rt1.bvec(r700_perp, z, separatrix)
bb700[j] = np.sqrt(br**2 + bz**2)
b0700[j] = rt1.b0(r700_perp, z, separatrix)
print(' ')
print(' start 1st optimization.... ')
print(' ')
err_max = 1e10
if not (view_mode is True):
if gaussian == 'single':