def residuals_three_param(params, x, y):
c = LDC3.forward([params['q1'].value,params['q2'].value, params['q3'].value])
if LDC3.criteriatest(0,c) == 0:
c = [guess_coeff1, guess_coeff2, guess_coeff3]
batman_params.rp = params['p'].value
batman_params.a = params['a'].value
batman_params.inc = params['i'].value
batman_params.u = [0.,c[0],c[1],c[2]]
return y - batman_m.light_curve(batman_params)
def residuals_three_param(params, x, y):
c = LDC3.forward(
[params['q1'].value, params['q2'].value, params['q3'].value])
if LDC3.criteriatest(0, c) == 0:
c = [guess_coeff1, guess_coeff2, guess_coeff3]
batman_params.rp = params['p'].value
batman_params.a = params['a'].value
batman_params.inc = params['i'].value
batman_params.u = [0., c[0], c[1], c[2]]
return y - batman_m.light_curve(batman_params)
print ' ' print 'Generating random alpha vector:' print 'alpha_h = ',alphas[0] print 'alpha_r = ',alphas[1] print 'alpha_t = ',alphas[2] print ' ' # Calculate the corresponding LDCs c=LDC3.forward(alphas) print 'Converting alpha vector -> LDCs vector:' print 'c_2 = ',c[0] print 'c_3 = ',c[1] print 'c_4 = ',c[2] # Test if the LDCs satisfy the seven analytic criteria passed=LDC3.criteriatest(0,c) if passed == 1: print 'LDCs satisfy the 7 analytic criteria => physically valid' print ' ' else: print 'LDCs violate one or more of the 7 analytic criteria' print ' ' # Invert LDCs back to alphas alphas_inv=LDC3.inverse(c) print 'Converting LDCs vector -> alpha vector:' print 'alpha_h = ',alphas_inv[0] print 'alpha_r = ',alphas_inv[1] print 'alpha_t = ',alphas_inv[2] print ' '
