📄 coulomb.c
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/* specfunc/coulomb.c * * Copyright (C) 1996, 1997, 1998, 1999, 2000 Gerard Jungman * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or (at * your option) any later version. * * This program is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. *//* Author: G. Jungman *//* Evaluation of Coulomb wave functions F_L(eta, x), G_L(eta, x), * and their derivatives. A combination of Steed's method, asymptotic * results, and power series. * * Steed's method: * [Barnett, CPC 21, 297 (1981)] * Power series and other methods: * [Biedenharn et al., PR 97, 542 (1954)] * [Bardin et al., CPC 3, 73 (1972)] * [Abad+Sesma, CPC 71, 110 (1992)] */#include <config.h>#include <gsl/gsl_math.h>#include <gsl/gsl_errno.h>#include <gsl/gsl_sf_exp.h>#include <gsl/gsl_sf_psi.h>#include <gsl/gsl_sf_airy.h>#include <gsl/gsl_sf_pow_int.h>#include <gsl/gsl_sf_gamma.h>#include <gsl/gsl_sf_coulomb.h>#include "error.h"/* the L=0 normalization constant * [Abramowitz+Stegun 14.1.8] */staticdoubleC0sq(double eta){ double twopieta = 2.0*M_PI*eta; if(fabs(eta) < GSL_DBL_EPSILON) { return 1.0; } else if(twopieta > GSL_LOG_DBL_MAX) { return 0.0; } else { gsl_sf_result scale; gsl_sf_expm1_e(twopieta, &scale); return twopieta/scale.val; }}/* the full definition of C_L(eta) for any valid L and eta * [Abramowitz and Stegun 14.1.7] * This depends on the complex gamma function. For large * arguments the phase of the complex gamma function is not * very accurately determined. However the modulus is, and that * is all that we need to calculate C_L. * * This is not valid for L <= -3/2 or L = -1. */staticintCLeta(double L, double eta, gsl_sf_result * result){ gsl_sf_result ln1; /* log of numerator Gamma function */ gsl_sf_result ln2; /* log of denominator Gamma function */ double sgn = 1.0; double arg_val, arg_err; if(fabs(eta/(L+1.0)) < GSL_DBL_EPSILON) { gsl_sf_lngamma_e(L+1.0, &ln1); } else { gsl_sf_result p1; /* phase of numerator Gamma -- not used */ gsl_sf_lngamma_complex_e(L+1.0, eta, &ln1, &p1); /* should be ok */ } gsl_sf_lngamma_e(2.0*(L+1.0), &ln2); if(L < -1.0) sgn = -sgn; arg_val = L*M_LN2 - 0.5*eta*M_PI + ln1.val - ln2.val; arg_err = ln1.err + ln2.err; arg_err += GSL_DBL_EPSILON * (fabs(L*M_LN2) + fabs(0.5*eta*M_PI)); return gsl_sf_exp_err_e(arg_val, arg_err, result);}intgsl_sf_coulomb_CL_e(double lam, double eta, gsl_sf_result * result){ /* CHECK_POINTER(result) */ if(lam <= -1.0) { DOMAIN_ERROR(result); } else if(fabs(lam) < GSL_DBL_EPSILON) { /* saves a calculation of complex_lngamma(), otherwise not necessary */ result->val = sqrt(C0sq(eta)); result->err = 2.0 * GSL_DBL_EPSILON * result->val; return GSL_SUCCESS; } else { return CLeta(lam, eta, result); }}/* cl[0] .. cl[kmax] = C_{lam_min}(eta) .. C_{lam_min+kmax}(eta) */intgsl_sf_coulomb_CL_array(double lam_min, int kmax, double eta, double * cl){ int k; gsl_sf_result cl_0; gsl_sf_coulomb_CL_e(lam_min, eta, &cl_0); cl[0] = cl_0.val; for(k=1; k<=kmax; k++) { double L = lam_min + k; cl[k] = cl[k-1] * sqrt(L*L + eta*eta)/(L*(2.0*L+1.0)); } return GSL_SUCCESS;}/* Evaluate the series for Phi_L(eta,x) and Phi_L*(eta,x) * [Abramowitz+Stegun 14.1.5] * [Abramowitz+Stegun 14.1.13] * * The sequence of coefficients A_k^L is * manifestly well-controlled for L >= -1/2 * and eta < 10. * * This makes sense since this is the region * away from threshold, and you expect * the evaluation to become easier as you * get farther from threshold. * * Empirically, this is quite well-behaved for * L >= -1/2 * eta < 10 * x < 10 */#if 0staticintcoulomb_Phi_series(const double lam, const double eta, const double x, double * result, double * result_star){ int kmin = 5; int kmax = 200; int k; double Akm2 = 1.0; double Akm1 = eta/(lam+1.0); double Ak; double xpow = x; double sum = Akm2 + Akm1*x; double sump = (lam+1.0)*Akm2 + (lam+2.0)*Akm1*x; double prev_abs_del = fabs(Akm1*x); double prev_abs_del_p = (lam+2.0) * prev_abs_del; for(k=2; k<kmax; k++) { double del; double del_p; double abs_del; double abs_del_p; Ak = (2.0*eta*Akm1 - Akm2)/(k*(2.0*lam + 1.0 + k)); xpow *= x; del = Ak*xpow; del_p = (k+lam+1.0)*del; sum += del; sump += del_p; abs_del = fabs(del); abs_del_p = fabs(del_p); if( abs_del/(fabs(sum)+abs_del) < GSL_DBL_EPSILON && prev_abs_del/(fabs(sum)+prev_abs_del) < GSL_DBL_EPSILON && abs_del_p/(fabs(sump)+abs_del_p) < GSL_DBL_EPSILON && prev_abs_del_p/(fabs(sump)+prev_abs_del_p) < GSL_DBL_EPSILON && k > kmin ) break; /* We need to keep track of the previous delta because when * eta is near zero the odd terms of the sum are very small * and this could lead to premature termination. */ prev_abs_del = abs_del; prev_abs_del_p = abs_del_p; Akm2 = Akm1; Akm1 = Ak; } *result = sum; *result_star = sump; if(k==kmax) { GSL_ERROR ("error", GSL_EMAXITER); } else { return GSL_SUCCESS; }}#endif /* 0 *//* Determine the connection phase, phi_lambda. * See coulomb_FG_series() below. We have * to be careful about sin(phi)->0. Note that * there is an underflow condition for large * positive eta in any case. */staticintcoulomb_connection(const double lam, const double eta, double * cos_phi, double * sin_phi){ if(eta > -GSL_LOG_DBL_MIN/2.0*M_PI-1.0) { *cos_phi = 1.0; *sin_phi = 0.0; GSL_ERROR ("error", GSL_EUNDRFLW); } else if(eta > -GSL_LOG_DBL_EPSILON/(4.0*M_PI)) { const double eps = 2.0 * exp(-2.0*M_PI*eta); const double tpl = tan(M_PI * lam); const double dth = eps * tpl / (tpl*tpl + 1.0); *cos_phi = -1.0 + 0.5 * dth*dth; *sin_phi = -dth; return GSL_SUCCESS; } else { double X = tanh(M_PI * eta) / tan(M_PI * lam); double phi = -atan(X) - (lam + 0.5) * M_PI; *cos_phi = cos(phi); *sin_phi = sin(phi); return GSL_SUCCESS; }}/* Evaluate the Frobenius series for F_lam(eta,x) and G_lam(eta,x). * Homegrown algebra. Evaluates the series for F_{lam} and * F_{-lam-1}, then uses * G_{lam} = (F_{lam} cos(phi) - F_{-lam-1}) / sin(phi) * where * phi = Arg[Gamma[1+lam+I eta]] - Arg[Gamma[-lam + I eta]] - (lam+1/2)Pi * = Arg[Sin[Pi(-lam+I eta)] - (lam+1/2)Pi * = atan2(-cos(lam Pi)sinh(eta Pi), -sin(lam Pi)cosh(eta Pi)) - (lam+1/2)Pi * * = -atan(X) - (lam+1/2) Pi, X = tanh(eta Pi)/tan(lam Pi) * * Not appropriate for lam <= -1/2, lam = 0, or lam >= 1/2. */staticintcoulomb_FG_series(const double lam, const double eta, const double x, gsl_sf_result * F, gsl_sf_result * G){ const int max_iter = 800; gsl_sf_result ClamA; gsl_sf_result ClamB; int stat_A = CLeta(lam, eta, &ClamA); int stat_B = CLeta(-lam-1.0, eta, &ClamB); const double tlp1 = 2.0*lam + 1.0; const double pow_x = pow(x, lam); double cos_phi_lam; double sin_phi_lam; double uA_mm2 = 1.0; /* uA sum is for F_{lam} */ double uA_mm1 = x*eta/(lam+1.0); double uA_m; double uB_mm2 = 1.0; /* uB sum is for F_{-lam-1} */ double uB_mm1 = -x*eta/lam; double uB_m; double A_sum = uA_mm2 + uA_mm1; double B_sum = uB_mm2 + uB_mm1; double A_abs_del_prev = fabs(A_sum); double B_abs_del_prev = fabs(B_sum); gsl_sf_result FA, FB; int m = 2; int stat_conn = coulomb_connection(lam, eta, &cos_phi_lam, &sin_phi_lam); if(stat_conn == GSL_EUNDRFLW) { F->val = 0.0; /* FIXME: should this be set to Inf too like G? */ F->err = 0.0; OVERFLOW_ERROR(G); } while(m < max_iter) { double abs_dA; double abs_dB; uA_m = x*(2.0*eta*uA_mm1 - x*uA_mm2)/(m*(m+tlp1)); uB_m = x*(2.0*eta*uB_mm1 - x*uB_mm2)/(m*(m-tlp1)); A_sum += uA_m; B_sum += uB_m; abs_dA = fabs(uA_m); abs_dB = fabs(uB_m); if(m > 15) { /* Don't bother checking until we have gone out a little ways; * a minor optimization. Also make sure to check both the * current and the previous increment because the odd and even * terms of the sum can have very different behaviour, depending * on the value of eta. */ double max_abs_dA = GSL_MAX(abs_dA, A_abs_del_prev); double max_abs_dB = GSL_MAX(abs_dB, B_abs_del_prev); double abs_A = fabs(A_sum); double abs_B = fabs(B_sum); if( max_abs_dA/(max_abs_dA + abs_A) < 4.0*GSL_DBL_EPSILON && max_abs_dB/(max_abs_dB + abs_B) < 4.0*GSL_DBL_EPSILON ) break; } A_abs_del_prev = abs_dA; B_abs_del_prev = abs_dB; uA_mm2 = uA_mm1; uA_mm1 = uA_m; uB_mm2 = uB_mm1; uB_mm1 = uB_m; m++; } FA.val = A_sum * ClamA.val * pow_x * x; FA.err = fabs(A_sum) * ClamA.err * pow_x * x + 2.0*GSL_DBL_EPSILON*fabs(FA.val); FB.val = B_sum * ClamB.val / pow_x; FB.err = fabs(B_sum) * ClamB.err / pow_x + 2.0*GSL_DBL_EPSILON*fabs(FB.val); F->val = FA.val; F->err = FA.err; G->val = (FA.val * cos_phi_lam - FB.val)/sin_phi_lam; G->err = (FA.err * fabs(cos_phi_lam) + FB.err)/fabs(sin_phi_lam); if(m >= max_iter) GSL_ERROR ("error", GSL_EMAXITER); else return GSL_ERROR_SELECT_2(stat_A, stat_B);}/* Evaluate the Frobenius series for F_0(eta,x) and G_0(eta,x). * See [Bardin et al., CPC 3, 73 (1972), (14)-(17)]; * note the misprint in (17): nu_0=1 is correct, not nu_0=0. */staticintcoulomb_FG0_series(const double eta, const double x, gsl_sf_result * F, gsl_sf_result * G){ const int max_iter = 800; const double x2 = x*x; const double tex = 2.0*eta*x; gsl_sf_result C0; int stat_CL = CLeta(0.0, eta, &C0); gsl_sf_result r1pie; int psi_stat = gsl_sf_psi_1piy_e(eta, &r1pie); double u_mm2 = 0.0; /* u_0 */ double u_mm1 = x; /* u_1 */ double u_m; double v_mm2 = 1.0; /* nu_0 */ double v_mm1 = tex*(2.0*M_EULER-1.0+r1pie.val); /* nu_1 */ double v_m; double u_sum = u_mm2 + u_mm1; double v_sum = v_mm2 + v_mm1; double u_abs_del_prev = fabs(u_sum); double v_abs_del_prev = fabs(v_sum); int m = 2; double u_sum_err = 2.0 * GSL_DBL_EPSILON * fabs(u_sum); double v_sum_err = 2.0 * GSL_DBL_EPSILON * fabs(v_sum); double ln2x = log(2.0*x); while(m < max_iter) { double abs_du; double abs_dv; double m_mm1 = m*(m-1.0); u_m = (tex*u_mm1 - x2*u_mm2)/m_mm1; v_m = (tex*v_mm1 - x2*v_mm2 - 2.0*eta*(2*m-1)*u_m)/m_mm1; u_sum += u_m; v_sum += v_m; abs_du = fabs(u_m); abs_dv = fabs(v_m); u_sum_err += 2.0 * GSL_DBL_EPSILON * abs_du; v_sum_err += 2.0 * GSL_DBL_EPSILON * abs_dv; if(m > 15) { /* Don't bother checking until we have gone out a little ways; * a minor optimization. Also make sure to check both the * current and the previous increment because the odd and even * terms of the sum can have very different behaviour, depending * on the value of eta. */ double max_abs_du = GSL_MAX(abs_du, u_abs_del_prev); double max_abs_dv = GSL_MAX(abs_dv, v_abs_del_prev); double abs_u = fabs(u_sum); double abs_v = fabs(v_sum); if( max_abs_du/(max_abs_du + abs_u) < 40.0*GSL_DBL_EPSILON && max_abs_dv/(max_abs_dv + abs_v) < 40.0*GSL_DBL_EPSILON ) break; } u_abs_del_prev = abs_du; v_abs_del_prev = abs_dv; u_mm2 = u_mm1; u_mm1 = u_m; v_mm2 = v_mm1; v_mm1 = v_m; m++; } F->val = C0.val * u_sum; F->err = C0.err * fabs(u_sum); F->err += fabs(C0.val) * u_sum_err; F->err += 2.0 * GSL_DBL_EPSILON * fabs(F->val); G->val = (v_sum + 2.0*eta*u_sum * ln2x) / C0.val; G->err = (fabs(v_sum) + fabs(2.0*eta*u_sum * ln2x)) / fabs(C0.val) * fabs(C0.err/C0.val); G->err += (v_sum_err + fabs(2.0*eta*u_sum_err*ln2x)) / fabs(C0.val); G->err += 2.0 * GSL_DBL_EPSILON * fabs(G->val); if(m == max_iter) GSL_ERROR ("error", GSL_EMAXITER); else return GSL_ERROR_SELECT_2(psi_stat, stat_CL);}/* Evaluate the Frobenius series for F_{-1/2}(eta,x) and G_{-1/2}(eta,x). * Homegrown algebra. */staticintcoulomb_FGmhalf_series(const double eta, const double x, gsl_sf_result * F, gsl_sf_result * G){ const int max_iter = 800; const double rx = sqrt(x); const double x2 = x*x; const double tex = 2.0*eta*x; gsl_sf_result Cmhalf; int stat_CL = CLeta(-0.5, eta, &Cmhalf); double u_mm2 = 1.0; /* u_0 */ double u_mm1 = tex * u_mm2; /* u_1 */ double u_m; double v_mm2, v_mm1, v_m; double f_sum, g_sum; double tmp1; gsl_sf_result rpsi_1pe; gsl_sf_result rpsi_1p2e; int m = 2; gsl_sf_psi_1piy_e(eta, &rpsi_1pe); gsl_sf_psi_1piy_e(2.0*eta, &rpsi_1p2e);
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