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/*
* diffraction.c
*
* Calculate diffraction patterns by Fourier methods
*
* Copyright © 2012-2014 Deutsches Elektronen-Synchrotron DESY,
* a research centre of the Helmholtz Association.
*
* Authors:
* 2009-2014 Thomas White <taw@physics.org>
* 2013-2014 Chun Hong Yoon <chun.hong.yoon@desy.de>
* 2013 Alexandra Tolstikova
*
* This file is part of CrystFEL.
*
* CrystFEL 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 3 of the License, or
* (at your option) any later version.
*
* CrystFEL 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 CrystFEL. If not, see <http://www.gnu.org/licenses/>.
*
*/
#include <stdlib.h>
#include <math.h>
#include <stdio.h>
#include <string.h>
#include <complex.h>
#include <assert.h>
#include <fenv.h>
#include "image.h"
#include "utils.h"
#include "cell.h"
#include "diffraction.h"
#include "beam-parameters.h"
#include "symmetry.h"
#include "pattern_sim.h"
#define SINC_LUT_ELEMENTS (4096)
static double *get_sinc_lut(int n)
{
int i;
double *lut;
lut = malloc(SINC_LUT_ELEMENTS*sizeof(double));
lut[0] = n;
if ( n == 1 ) {
for ( i=1; i<SINC_LUT_ELEMENTS; i++ ) {
lut[i] = 1.0;
}
} else {
for ( i=1; i<SINC_LUT_ELEMENTS; i++ ) {
double x, val;
x = (double)i/SINC_LUT_ELEMENTS;
val = fabs(sin(M_PI*n*x)/sin(M_PI*x));
lut[i] = val;
}
}
return lut;
}
static double interpolate_lut(double *lut, double val)
{
double i, pos, f;
unsigned int low, high;
pos = SINC_LUT_ELEMENTS * modf(fabs(val), &i);
low = (int)pos; /* Discard fractional part */
high = low + 1;
f = modf(pos, &i); /* Fraction */
if ( high == SINC_LUT_ELEMENTS ) high = 0;
return (1.0-f)*lut[low] + f*lut[high];
}
static double lattice_factor(struct rvec q, double ax, double ay, double az,
double bx, double by, double bz,
double cx, double cy, double cz,
double *lut_a, double *lut_b,
double *lut_c)
{
struct rvec Udotq;
double f1, f2, f3;
Udotq.u = ax*q.u + ay*q.v + az*q.w;
Udotq.v = bx*q.u + by*q.v + bz*q.w;
Udotq.w = cx*q.u + cy*q.v + cz*q.w;
f1 = interpolate_lut(lut_a, Udotq.u);
f2 = interpolate_lut(lut_b, Udotq.v);
f3 = interpolate_lut(lut_c, Udotq.w);
return f1 * f2 * f3;
}
static double sym_lookup_intensity(const double *intensities,
const unsigned char *flags,
const SymOpList *sym,
signed int h, signed int k, signed int l)
{
int i;
double ret = 0.0;
for ( i=0; i<num_equivs(sym, NULL); i++ ) {
signed int he;
signed int ke;
signed int le;
double f, val;
get_equiv(sym, NULL, i, h, k, l, &he, &ke, &le);
f = (double)lookup_arr_flag(flags, he, ke, le);
val = lookup_arr_intensity(intensities, he, ke, le);
ret += f*val;
}
return ret;
}
static double sym_lookup_phase(const double *phases,
const unsigned char *flags, const SymOpList *sym,
signed int h, signed int k, signed int l)
{
int i;
double ret = 0.0;
for ( i=0; i<num_equivs(sym, NULL); i++ ) {
signed int he;
signed int ke;
signed int le;
double f, val;
get_equiv(sym, NULL, i, h, k, l, &he, &ke, &le);
f = (double)lookup_arr_flag(flags, he, ke, le);
val = lookup_arr_phase(phases, he, ke, le);
ret += f*val;
}
return ret;
}
static double interpolate_linear(const double *ref, const unsigned char *flags,
const SymOpList *sym, float hd,
signed int k, signed int l)
{
signed int h;
double val1, val2;
float f;
h = (signed int)hd;
if ( hd < 0.0 ) h -= 1;
f = hd - (float)h;
assert(f >= 0.0);
val1 = sym_lookup_intensity(ref, flags, sym, h, k, l);
val2 = sym_lookup_intensity(ref, flags, sym, h+1, k, l);
return (1.0-f)*val1 + f*val2;
}
static double interpolate_bilinear(const double *ref,
const unsigned char *flags,
const SymOpList *sym,
float hd, float kd, signed int l)
{
signed int k;
double val1, val2;
float f;
k = (signed int)kd;
if ( kd < 0.0 ) k -= 1;
f = kd - (float)k;
assert(f >= 0.0);
val1 = interpolate_linear(ref, flags, sym, hd, k, l);
val2 = interpolate_linear(ref, flags, sym, hd, k+1, l);
return (1.0-f)*val1 + f*val2;
}
static double interpolate_intensity(const double *ref,
const unsigned char *flags,
const SymOpList *sym,
float hd, float kd, float ld)
{
signed int l;
double val1, val2;
float f;
l = (signed int)ld;
if ( ld < 0.0 ) l -= 1;
f = ld - (float)l;
assert(f >= 0.0);
val1 = interpolate_bilinear(ref, flags, sym, hd, kd, l);
val2 = interpolate_bilinear(ref, flags, sym, hd, kd, l+1);
return (1.0-f)*val1 + f*val2;
}
static double complex interpolate_phased_linear(const double *ref,
const double *phases,
const unsigned char *flags,
const SymOpList *sym,
float hd,
signed int k, signed int l)
{
signed int h;
double val1, val2;
float f;
double ph1, ph2;
double re1, re2, im1, im2;
double re, im;
h = (signed int)hd;
if ( hd < 0.0 ) h -= 1;
f = hd - (float)h;
assert(f >= 0.0);
val1 = sym_lookup_intensity(ref, flags, sym, h, k, l);
val2 = sym_lookup_intensity(ref, flags, sym, h+1, k, l);
ph1 = sym_lookup_phase(phases, flags, sym, h, k, l);
ph2 = sym_lookup_phase(phases, flags, sym, h+1, k, l);
/* Calculate real and imaginary parts */
re1 = val1 * cos(ph1);
im1 = val1 * sin(ph1);
re2 = val2 * cos(ph2);
im2 = val2 * sin(ph2);
re = (1.0-f)*re1 + f*re2;
im = (1.0-f)*im1 + f*im2;
return re + im*I;
}
static double complex interpolate_phased_bilinear(const double *ref,
const double *phases,
const unsigned char *flags,
const SymOpList *sym,
float hd, float kd,
signed int l)
{
signed int k;
double complex val1, val2;
float f;
k = (signed int)kd;
if ( kd < 0.0 ) k -= 1;
f = kd - (float)k;
assert(f >= 0.0);
val1 = interpolate_phased_linear(ref, phases, flags, sym, hd, k, l);
val2 = interpolate_phased_linear(ref, phases, flags, sym, hd, k+1, l);
return (1.0-f)*val1 + f*val2;
}
static double interpolate_phased_intensity(const double *ref,
const double *phases,
const unsigned char *flags,
const SymOpList *sym,
float hd, float kd, float ld)
{
signed int l;
double complex val1, val2;
float f;
l = (signed int)ld;
if ( ld < 0.0 ) l -= 1;
f = ld - (float)l;
assert(f >= 0.0);
val1 = interpolate_phased_bilinear(ref, phases, flags, sym,
hd, kd, l);
val2 = interpolate_phased_bilinear(ref, phases, flags, sym,
hd, kd, l+1);
return cabs((1.0-f)*val1 + f*val2);
}
/* Look up the structure factor for the nearest Bragg condition */
static double molecule_factor(const double *intensities, const double *phases,
const unsigned char *flags, struct rvec q,
double ax, double ay, double az,
double bx, double by, double bz,
double cx, double cy, double cz,
GradientMethod m, const SymOpList *sym)
{
float hd, kd, ld;
signed int h, k, l;
double r;
hd = q.u * ax + q.v * ay + q.w * az;
kd = q.u * bx + q.v * by + q.w * bz;
ld = q.u * cx + q.v * cy + q.w * cz;
/* No flags -> flat intensity distribution */
if ( flags == NULL ) return 100.0;
switch ( m ) {
case GRADIENT_MOSAIC :
fesetround(1); /* Round to nearest */
h = (signed int)rint(hd);
k = (signed int)rint(kd);
l = (signed int)rint(ld);
if ( abs(h) > INDMAX ) r = 0.0;
else if ( abs(k) > INDMAX ) r = 0.0;
else if ( abs(l) > INDMAX ) r = 0.0;
else r = sym_lookup_intensity(intensities, flags, sym, h, k, l);
break;
case GRADIENT_INTERPOLATE :
r = interpolate_intensity(intensities, flags, sym, hd, kd, ld);
break;
case GRADIENT_PHASED :
r = interpolate_phased_intensity(intensities, phases, flags,
sym, hd, kd, ld);
break;
default:
ERROR("This gradient method not implemented yet.\n");
exit(1);
}
return r;
}
static void diffraction_at_k(struct image *image, const double *intensities,
const double *phases, const unsigned char *flags,
UnitCell *cell, GradientMethod m,
const SymOpList *sym, double k,
double ax, double ay, double az,
double bx, double by, double bz,
double cx, double cy, double cz,
double *lut_a, double *lut_b, double *lut_c,
double weight)
{
unsigned int fs, ss;
const int nxs = 4;
const int nys = 4;
weight /= nxs*nys;
for ( fs=0; fs<image->width; fs++ ) {
for ( ss=0; ss<image->height; ss++ ) {
int idx;
double f_lattice, I_lattice;
double I_molecule;
struct rvec q;
double twotheta;
int xs, ys;
float xo, yo;
for ( xs=0; xs<nxs; xs++ ) {
for ( ys=0; ys<nys; ys++ ) {
xo = (1.0/nxs) * xs;
yo = (1.0/nys) * ys;
q = get_q(image, fs+xo, ss+yo, &twotheta, k);
f_lattice = lattice_factor(q, ax, ay, az,
bx, by, bz,
cx, cy, cz,
lut_a, lut_b, lut_c);
I_molecule = molecule_factor(intensities,
phases, flags, q,
ax, ay, az,
bx, by, bz,
cx, cy, cz,
m, sym);
I_lattice = pow(f_lattice, 2.0);
idx = fs + image->width*ss;
image->data[idx] += I_lattice * I_molecule * weight;
image->twotheta[idx] = twotheta;
}
}
}
progress_bar(fs, image->width-1, "Calculating diffraction");
}
}
static int compare_samples(const void *a, const void *b)
{
struct sample *sample1 = (struct sample *)a;
struct sample *sample2 = (struct sample *)b;
if ( sample1->weight < sample2->weight ) {
return 1;
}
return -1;
}
static struct sample *get_gaussian_spectrum(double eV_cen, double eV_step,
double sigma, int spec_size, double eV_start)
{
struct sample *spectrum;
int i;
double eV;
spectrum = malloc(spec_size * sizeof(struct sample));
if ( spectrum == NULL ) return NULL;
if (eV_start == 0) { /* eV starts at 3 sigma below the mean*/
eV = eV_cen - (spec_size/2)*eV_step;
} else {
eV = eV_start;
}
for ( i=0; i<spec_size; i++ ) {
spectrum[i].k = 1.0/ph_eV_to_lambda(eV);
spectrum[i].weight = exp(-(pow(eV - eV_cen, 2.0)
/ (2.0*sigma*sigma)));
eV += eV_step;
}
return spectrum;
}
static int add_sase_noise(struct sample *spectrum, int nsteps, gsl_rng *rng)
{
struct sample *noise;
int i, j;
double *gaussianNoise;
int shiftLim = 5;
double noise_mean = 0.0;
double noise_sigma = 1.0;
if ( shiftLim > nsteps ) shiftLim = nsteps;
noise = malloc(nsteps * sizeof(struct sample));
if ( noise == NULL ) return 1;
gaussianNoise = malloc(3 * nsteps * sizeof(double));
if ( gaussianNoise == NULL ) {
free(noise);
return 1;
}
/* Generate Gaussian noise of length of spectrum
* (replicate on both ends for circshift below) */
for ( i=0; i<nsteps; i++) {
noise[i].weight = 0.0;
/* Gaussian noise with mean = 0, std = 1 */
gaussianNoise[i] = gaussian_noise(rng, noise_mean, noise_sigma);
gaussianNoise[i+nsteps] = gaussianNoise[i];
gaussianNoise[i+2*nsteps] = gaussianNoise[i];
}
/* Sum Gaussian noise by circshifting by +/- shiftLim */
for ( i=nsteps; i<2*nsteps; i++ ) {
for ( j=-shiftLim; j<=shiftLim; j++ ) {
noise[i-nsteps].weight += gaussianNoise[i+j];
}
}
/* Normalize the number of circshift sum */
for ( i=0; i<nsteps; i++) {
noise[i].weight = noise[i].weight/(2*shiftLim+1);
}
/* Noise amplitude should have a 2 x Gaussian distribution */
for ( i=0; i<nsteps; i++ ) {
noise[i].weight = 2.0 * spectrum[i].weight * noise[i].weight;
}
/* Add noise to spectrum */
for ( i=0; i<nsteps; i++ ) {
spectrum[i].weight += noise[i].weight;
/* The final spectrum can not be negative */
if ( spectrum[i].weight < 0.0 ) spectrum[i].weight = 0.0;
}
return 0;
}
struct sample *generate_tophat(struct image *image)
{
struct sample *spectrum;
int i;
double k, k_step;
double halfwidth = image->bw * image->lambda / 2.0; /* m */
double mink = 1.0/(image->lambda + halfwidth);
double maxk = 1.0/(image->lambda - halfwidth);
spectrum = malloc(image->nsamples * sizeof(struct sample));
if ( spectrum == NULL ) return NULL;
k = mink;
k_step = (maxk-mink)/(image->nsamples-1);
for ( i=0; i<image->nsamples; i++ ) {
spectrum[i].k = k;
spectrum[i].weight = 1.0/(double)image->nsamples;
k += k_step;
}
image->spectrum_size = image->nsamples;
return spectrum;
}
struct sample *generate_SASE(struct image *image, gsl_rng *rng)
{
struct sample *spectrum;
int i;
const int spec_size = 1024;
double eV_cen; /* Central photon energy for this spectrum */
const double jitter_sigma_eV = 8.0;
/* Central wavelength jitters with Gaussian distribution */
eV_cen = gaussian_noise(rng, ph_lambda_to_eV(image->lambda),
jitter_sigma_eV);
/* Convert FWHM to standard deviation. Note that bandwidth is taken to
* be "delta E over E" (E = photon energy), not the bandwidth in terms
* of wavelength, but the difference should be very small */
double sigma = (image->bw*eV_cen) / (2.0*sqrt(2.0*log(2.0)));
/* The spectrum will be calculated to a resolution which spreads six
* sigmas of the original (no SASE noise) Gaussian pulse over spec_size
* points */
double eV_step = 6.0*sigma/(spec_size-1);
spectrum = get_gaussian_spectrum(eV_cen, eV_step, sigma, spec_size,0);
/* Add SASE-type noise to Gaussian spectrum */
add_sase_noise(spectrum, spec_size, rng);
/* Normalise intensity (before taking restricted number of samples) */
double total_weight = 0.0;
for ( i=0; i<spec_size; i++ ) {
total_weight += spectrum[i].weight;
}
for ( i=0; i<spec_size; i++ ) {
spectrum[i].weight /= total_weight;
}
/* Sort samples in spectrum by weight. Diffraction calculation will
* take the requested number, starting from the brightest */
qsort(spectrum, spec_size, sizeof(struct sample), compare_samples);
image->spectrum_size = spec_size;
return spectrum;
}
struct sample *generate_twocolour(struct image *image)
{
struct sample *spectrum;
struct sample *spectrum1;
struct sample *spectrum2;
int i;
double halfwidth = image->bw/2; /* eV */
const int spec_size = 1024;
double eV_cen1; /* Central photon energy for first colour */
double eV_cen2; /* Central photon energy for second colour */
eV_cen1 = ph_lambda_to_eV(image->lambda) - halfwidth;
eV_cen2 = ph_lambda_to_eV(image->lambda) + halfwidth;
/* Hard-code sigma to be 1/5 of bandwidth */
double sigma = image->bw/5; /* eV */
/* The spectrum will be calculated to a resolution which spreads six
* sigmas of the original (no SASE noise) Gaussian pulse over spec_size
* points */
double eV_start = eV_cen1 - 3*sigma;
double eV_end = eV_cen2 + 3*sigma;
double eV_step = (eV_end - eV_start)/(spec_size-1);
spectrum1 = get_gaussian_spectrum(eV_cen1, eV_step, sigma, spec_size, eV_start);
spectrum2 = get_gaussian_spectrum(eV_cen2, eV_step, sigma, spec_size, eV_start);
spectrum = malloc(spec_size * sizeof(struct sample));
if ( spectrum == NULL ) return NULL;
for ( i=0; i<spec_size; i++ ) {
spectrum[i].weight = spectrum1[i].weight + spectrum2[i].weight;
spectrum[i].k = spectrum1[i].k;
}
/* Normalise intensity (before taking restricted number of samples) */
double total_weight = 0.0;
for ( i=0; i<spec_size; i++ ) {
total_weight += spectrum[i].weight;
}
for ( i=0; i<spec_size; i++ ) {
spectrum[i].weight /= total_weight;
}
/* Sort samples in spectrum by weight. Diffraction calculation will
* take the requested number, starting from the brightest */
qsort(spectrum, spec_size, sizeof(struct sample), compare_samples);
image->spectrum_size = spec_size;
return spectrum;
}
void get_diffraction(struct image *image, int na, int nb, int nc,
const double *intensities, const double *phases,
const unsigned char *flags, UnitCell *cell,
GradientMethod m, const SymOpList *sym)
{
double ax, ay, az;
double bx, by, bz;
double cx, cy, cz;
double *lut_a;
double *lut_b;
double *lut_c;
int i;
cell_get_cartesian(cell, &ax, &ay, &az, &bx, &by, &bz, &cx, &cy, &cz);
/* Allocate (and zero) the "diffraction array" */
image->data = calloc(image->width * image->height, sizeof(float));
/* Needed later for Lorentz calculation */
image->twotheta = malloc(image->width * image->height * sizeof(double));
lut_a = get_sinc_lut(na);
lut_b = get_sinc_lut(nb);
lut_c = get_sinc_lut(nc);
for ( i=0; i<image->nsamples; i++ ) {
printf("%.1f eV, weight = %.5f\n",
ph_lambda_to_eV(1.0/image->spectrum[i].k),
image->spectrum[i].weight);
diffraction_at_k(image, intensities, phases,
flags, cell, m, sym, image->spectrum[i].k,
ax, ay, az, bx, by, bz, cx, cy, cz,
lut_a, lut_b, lut_c, image->spectrum[i].weight);
}
free(lut_a);
free(lut_b);
free(lut_c);
}
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