He = np.zeros((4,4)) Hp = np.zeros((4,4)) Hep = np.zeros((4,4)) Htot = np.zeros((4,4)) PPES = np.zeros((len(rlist),4)) ''' Now let's evaluate the polaritonic PES and store the values to the PPES array! ''' Hp = dh.H_p(Hp, omc) Hep = dh.H_ep(Hep, gc) #### Get H_e(r) and diagonlize to get the polaritonic potential energy surfaces for i in range(0,len(rlist)): r = rlist[i] He = dh.H_e(He, r) Htot = He + Hp + Hep tmpH = np.copy(Htot) vals, vecs = LA.eig(Htot) idx = vals.argsort()[::1] vals = vals[idx] for j in range(0,4): PPES[i,j] = vals[j] ### form spline for ground-state surface i_spline = InterpolatedUnivariateSpline(rlist, PPES[:,1], k=3) Fi_spline = i_spline.derivative() g_spline = InterpolatedUnivariateSpline(rlist, PPES[:,0], k=3) Fg_spline = g_spline.derivative()
### Htot He = np.zeros((4, 4)) Hp = np.zeros((4, 4)) Hep = np.zeros((4, 4)) Htot = np.zeros((4, 4)) #PPES = np.zeros((len(rlist),4)) ''' Now let's evaluate the polaritonic PES and store the values to the PPES array! ''' Hp = dh.H_p(Hp, omc) Hep = dh.H_ep(Hep, gc) #### Get H_e(r) and diagonlize to get the polaritonic potential energy surfaces for i in range(0, len(rlist)): r = rlist[i] He = dh.H_e(He, r) Htot = He + Hp + Hep tmpH = np.copy(Htot) vals, vecs = LA.eig(Htot) idx = vals.argsort()[::1] vals = vals[idx] for j in range(0, 4): PPES[i, j] = vals[j] ### form spline for ground-state surface #i_spline = InterpolatedUnivariateSpline(rlist, PPES[:,1], k=3) #Fi_spline = i_spline.derivative() #g_spline = InterpolatedUnivariateSpline(rlist, PPES[:,0], k=3) #Fg_spline = g_spline.derivative()