static void double_sincos(char **args, npy_intp *dimensions,
npy_intp* steps, void* data)
{
npy_intp i;
npy_intp n = dimensions[0];
char *in = args[0], *out1 = args[1], *out2 = args[2];
npy_intp in_step = steps[0], out1_step = steps[1], out2_step = steps[2];
double tmp1[VECTLENDP], tmp2[VECTLENDP];
vdouble a;
vdouble2 b;
int slow_n = n % VECTLENDP;
if(in_step != sizeof(double) || out1_step != sizeof(double) ||
out2_step != sizeof(double))
{
slow_n = n;
}
for(i = 0; i < slow_n; i += VECTLENDP)
{
int j;
for(j = 0; j < VECTLENDP && i + j < slow_n; j++)
{
tmp1[j] = *(double *)in;
in += in_step;
}
a = vloadu(tmp1);
b = xsincos(a);
vstoreu(tmp1, b.x);
vstoreu(tmp2, b.y);
for(j = 0; j < VECTLENDP && i + j < slow_n; j++)
{
*(double *)out1 = tmp1[j];
*(double *)out2 = tmp2[j];
out1 += out1_step;
out2 += out2_step;
}
}
if(n > slow_n)
{
double *in_array = (double *)in;
double *out_array1 = (double *)out1;
double *out_array2 = (double *)out2;
for(i = 0; i < n - slow_n; i += VECTLENDP)
{
a = vloadu(in_array + i);
b = xsincos(a);
vstoreu(out_array1 + i, b.x);
vstoreu(out_array2 + i, b.y);
}
}
}
static void double_xloop(char **args, npy_intp *dimensions,
npy_intp* steps, void* data)
{
npy_intp i;
npy_intp n = dimensions[0];
char *in = args[0], *out = args[1];
npy_intp in_step = steps[0], out_step = steps[1];
avx_func *func = (avx_func *)data;
vdouble (*f)(vdouble) = func->f;
double tmp[VECTLENDP];
vdouble a;
int slow_n = n % VECTLENDP;
if(in_step != sizeof(double) || out_step != sizeof(double))
slow_n = n;
for(i = 0; i < slow_n; i += VECTLENDP)
{
int j;
for(j = 0; j < VECTLENDP && i + j < slow_n; j++)
{
tmp[j] = *(double *)in;
in += in_step;
}
a = vloadu(tmp);
a = (*f)(a);
vstoreu(tmp, a);
for(j = 0; j < VECTLENDP && i + j < slow_n; j++)
{
*(double *)out = tmp[j];
out += out_step;
}
}
if(n > slow_n)
{
double *in_array = (double *)in;
double *out_array = (double *)out;
for(i = 0; i < n - slow_n; i += VECTLENDP)
{
a = vloadu(in_array + i);
a = (*f)(a);
vstoreu(out_array + i, a);
}
}
}
int job_core(int pm, // Hemisphere
int mm, // Grid 'sky position'
int nn, // Second grid 'sky position'
Search_settings *sett, // Search settings
Command_line_opts *opts, // Search options
Search_range *s_range, // Range for searching
FFTW_plans *plans, // Plans for fftw
FFTW_arrays *fftw_arr, // Arrays for fftw
Aux_arrays *aux, // Auxiliary arrays
int *sgnlc, // Candidate trigger parameters
FLOAT_TYPE *sgnlv, // Candidate array
int *FNum) { // Candidate signal number
int i, j, n;
int smin = s_range->sst, smax = s_range->spndr[1];
double al1, al2, sinalt, cosalt, sindelt, cosdelt, sgnlt[NPAR],
nSource[3], het0, sgnl0, ft;
double _tmp1[sett->nifo][sett->N];
#undef NORMTOMAX
#ifdef NORMTOMAX
double blkavg, threshold = 6.;
int imax, imax0, iblk, blkstart, ihi;
int blksize = 1024;
int nfft = sett->nmax - sett->nmin;
static int *Fmax;
if (!Fmax) Fmax = (int *) malloc(nfft*sizeof(int));
#endif
struct timespec tstart, tend;
double spindown_timer = 0;
int spindown_counter = 0;
//tstart = get_current_time(CLOCK_REALTIME);
/* Matrix M(.,.) (defined on page 22 of PolGrawCWAllSkyReview1.pdf file)
defines the transformation form integers (bin, ss, nn, mm) determining
a grid point to linear coordinates omega, omegadot, alpha_1, alpha_2),
where bin is the frequency bin number and alpha_1 and alpha_2 are
defined on p. 22 of PolGrawCWAllSkyReview1.pdf file.
[omega] [bin]
[omegadot] = M(.,.) \times [ss]
[alpha_1/omega] [nn]
[alpha_2/omega] [mm]
Array M[.] is related to matrix M(.,.) in the following way;
[ M[0] M[4] M[8] M[12] ]
M(.,.) = [ M[1] M[5] M[9] M[13] ]
[ M[2] M[6] M[10] M[14] ]
[ M[3] M[7] M[11] M[15] ]
and
M[1] = M[2] = M[3] = M[6] = M[7] = 0
*/
// Grid positions
al1 = nn*sett->M[10] + mm*sett->M[14];
al2 = nn*sett->M[11] + mm*sett->M[15];
// check if the search is in an appropriate region of the grid
// if not, returns NULL
if ((sqr(al1)+sqr(al2))/sqr(sett->oms) > 1.) return 0;
int ss;
double shft1, phase, cp, sp;
complex double exph;
// Change linear (grid) coordinates to real coordinates
lin2ast(al1/sett->oms, al2/sett->oms,
pm, sett->sepsm, sett->cepsm,
&sinalt, &cosalt, &sindelt, &cosdelt);
// calculate declination and right ascention
// written in file as candidate signal sky positions
sgnlt[2] = asin(sindelt);
sgnlt[3] = fmod(atan2(sinalt, cosalt) + 2.*M_PI, 2.*M_PI);
het0 = fmod(nn*sett->M[8] + mm*sett->M[12], sett->M[0]);
// Nyquist frequency
int nyqst = (sett->nfft)/2 + 1;
// Loop for each detector
/* Amplitude modulation functions aa and bb
* for each detector (in signal sub-struct
* of _detector, ifo[n].sig.aa, ifo[n].sig.bb)
*/
for(n=0; n<sett->nifo; ++n) {
modvir(sinalt, cosalt, sindelt, cosdelt,
sett->N, &ifo[n], aux);
// Calculate detector positions with respect to baricenter
nSource[0] = cosalt*cosdelt;
nSource[1] = sinalt*cosdelt;
nSource[2] = sindelt;
shft1 = nSource[0]*ifo[n].sig.DetSSB[0]
+ nSource[1]*ifo[n].sig.DetSSB[1]
+ nSource[2]*ifo[n].sig.DetSSB[2];
#define CHUNK 4
#pragma omp parallel default(shared) private(phase,cp,sp,exph)
{
#pragma omp for schedule(static,CHUNK)
for(i=0; i<sett->N; ++i) {
ifo[n].sig.shft[i] = nSource[0]*ifo[n].sig.DetSSB[i*3]
+ nSource[1]*ifo[n].sig.DetSSB[i*3+1]
+ nSource[2]*ifo[n].sig.DetSSB[i*3+2];
ifo[n].sig.shftf[i] = ifo[n].sig.shft[i] - shft1;
_tmp1[n][i] = aux->t2[i] + (double)(2*i)*ifo[n].sig.shft[i];
}
#pragma omp for schedule(static,CHUNK)
for(i=0; i<sett->N; ++i) {
// Phase modulation
phase = het0*i + sett->oms*ifo[n].sig.shft[i];
#ifdef NOSINCOS
cp = cos(phase);
sp = sin(phase);
#else
sincos(phase, &sp, &cp);
#endif
exph = cp - I*sp;
// Matched filter
ifo[n].sig.xDatma[i] = ifo[n].sig.xDat[i]*ifo[n].sig.aa[i]*exph;
ifo[n].sig.xDatmb[i] = ifo[n].sig.xDat[i]*ifo[n].sig.bb[i]*exph;
}
/* Resampling using spline interpolation:
* This will double the sampling rate
*/
#pragma omp for schedule(static,CHUNK)
for(i=0; i < sett->N; ++i) {
fftw_arr->xa[i] = ifo[n].sig.xDatma[i];
fftw_arr->xb[i] = ifo[n].sig.xDatmb[i];
}
// Zero-padding (filling with 0s up to sett->nfft,
// the nearest power of 2)
#pragma omp for schedule(static,CHUNK)
for (i=sett->N; i<sett->nfft; ++i) {
fftw_arr->xa[i] = 0.;
fftw_arr->xb[i] = 0.;
}
} //omp parallel
fftw_execute_dft(plans->pl_int,fftw_arr->xa,fftw_arr->xa); //forward fft (len nfft)
fftw_execute_dft(plans->pl_int,fftw_arr->xb,fftw_arr->xb); //forward fft (len nfft)
// move frequencies from second half of spectrum;
// and zero frequencies higher than nyquist
// loop length: nfft - nyqst = nfft - nfft/2 - 1 = nfft/2 - 1
for(i=nyqst + sett->Ninterp - sett->nfft, j=nyqst; i<sett->Ninterp; ++i, ++j) {
fftw_arr->xa[i] = fftw_arr->xa[j];
fftw_arr->xa[j] = 0.;
}
for(i=nyqst + sett->Ninterp - sett->nfft, j=nyqst; i<sett->Ninterp; ++i, ++j) {
fftw_arr->xb[i] = fftw_arr->xb[j];
fftw_arr->xb[j] = 0.;
}
// Backward fft (len Ninterp = nfft*interpftpad)
fftw_execute_dft(plans->pl_inv,fftw_arr->xa,fftw_arr->xa);
fftw_execute_dft(plans->pl_inv,fftw_arr->xb,fftw_arr->xb);
ft = (double)sett->interpftpad / sett->Ninterp; //scale FFT
for (i=0; i < sett->Ninterp; ++i) {
fftw_arr->xa[i] *= ft;
fftw_arr->xb[i] *= ft;
}
// struct timeval tstart = get_current_time(), tend;
// Spline interpolation to xDatma, xDatmb arrays
splintpad(fftw_arr->xa, ifo[n].sig.shftf, sett->N,
sett->interpftpad, ifo[n].sig.xDatma);
splintpad(fftw_arr->xb, ifo[n].sig.shftf, sett->N,
sett->interpftpad, ifo[n].sig.xDatmb);
} // end of detector loop
// square sums of modulation factors
double aa = 0., bb = 0.;
for(n=0; n<sett->nifo; ++n) {
double aatemp = 0., bbtemp = 0.;
for(i=0; i<sett->N; ++i) {
aatemp += sqr(ifo[n].sig.aa[i]);
bbtemp += sqr(ifo[n].sig.bb[i]);
}
for(i=0; i<sett->N; ++i) {
ifo[n].sig.xDatma[i] /= ifo[n].sig.sig2;
ifo[n].sig.xDatmb[i] /= ifo[n].sig.sig2;
}
aa += aatemp/ifo[n].sig.sig2;
bb += bbtemp/ifo[n].sig.sig2;
}
#ifdef YEPPP
#define VLEN 1024
int bnd = (sett->N/VLEN)*VLEN;
#endif
// Check if the signal is added to the data or the range file is given:
// if not, proceed with the wide range of spindowns
// if yes, use smin = s_range->sst, smax = s_range->spndr[1]
if(!strcmp(opts->addsig, "") && !strcmp(opts->range, "")) {
// Spindown range defined using Smin and Smax (settings.c)
smin = trunc((sett->Smin - nn*sett->M[9] - mm*sett->M[13])/sett->M[5]);
smax = trunc(-(nn*sett->M[9] + mm*sett->M[13] + sett->Smax)/sett->M[5]);
}
if(opts->s0_flag) smin = smax;
// if spindown parameter is taken into account, smin != smax
printf ("\n>>%d\t%d\t%d\t[%d..%d]\n", *FNum, mm, nn, smin, smax);
static fftw_complex *fxa, *fxb;
static double *F;
#pragma omp threadprivate(fxa,fxb, F)
#pragma omp threadprivate(F)
//private loop counter: ss
//private (declared inside): ii,Fc,het1,k,veto_status,a,v,_p,_c,_s,status
//shared default: nn,mm,sett,_tmp1,ifo,het0,bnd,plans,opts,aa,bb,
// fftw_arr (zostawiamy i robimy nowe), FNum (atomic!)
//we use shared plans and fftw_execute with 'new-array' interface
#pragma omp parallel default(shared) \
private(i, j, n, sgnl0, exph, phase, cp, sp, tstart, tend) \
firstprivate(sgnlt) \
reduction(+ : spindown_timer, spindown_counter)
{
#ifdef YEPPP
Yep64f _p[VLEN], _s[VLEN], _c[VLEN];
enum YepStatus status;
#endif
#ifdef SLEEF
double _p[VECTLENDP], _c[VECTLENDP];
vdouble2 v;
vdouble a;
#endif
if (!fxa) fxa = (fftw_complex *)fftw_malloc(fftw_arr->arr_len*sizeof(fftw_complex));
if (!fxb) fxb = (fftw_complex *)fftw_malloc(fftw_arr->arr_len*sizeof(fftw_complex));
if (!F) F = (double *)calloc(2*sett->nfft, sizeof(double));
/* Spindown loop */
#pragma omp for schedule(static,4)
for(ss=smin; ss<=smax; ++ss) {
#if TIMERS>2
tstart = get_current_time(CLOCK_PROCESS_CPUTIME_ID);
#endif
// Spindown parameter
sgnlt[1] = ss*sett->M[5] + nn*sett->M[9] + mm*sett->M[13];
int ii;
double Fc, het1;
#ifdef VERBOSE
//print a 'dot' every new spindown
printf ("."); fflush (stdout);
#endif
het1 = fmod(ss*sett->M[4], sett->M[0]);
if(het1<0) het1 += sett->M[0];
sgnl0 = het0 + het1;
// phase modulation before fft
#if defined(SLEEF)
// use simd sincos from the SLEEF library;
// VECTLENDP is a simd vector length defined in the SLEEF library
// and it depends on selected instruction set e.g. -DENABLE_AVX
for(i=0; i<sett->N; i+=VECTLENDP) {
for(j=0; j<VECTLENDP; j++)
_p[j] = het1*(i+j) + sgnlt[1]*_tmp1[0][i+j];
a = vloadu(_p);
v = xsincos(a);
vstoreu(_p, v.x); // reuse _p for sin
vstoreu(_c, v.y);
for(j=0; j<VECTLENDP; ++j){
exph = _c[j] - I*_p[j];
fxa[i+j] = ifo[0].sig.xDatma[i+j]*exph; //ifo[0].sig.sig2;
fxb[i+j] = ifo[0].sig.xDatmb[i+j]*exph; //ifo[0].sig.sig2;
}
}
#elif defined(YEPPP)
// use yeppp! library;
// VLEN is length of vector to be processed
// for caches L1/L2 64/256kb optimal value is ~2048
for (j=0; j<bnd; j+=VLEN) {
//double *_tmp2 = &_tmp1[0][j];
for (i=0; i<VLEN; ++i)
//_p[i] = het1*(i+j) + sgnlt[1]*_tmp2[i];
_p[i] = het1*(i+j) + sgnlt[1]*_tmp1[0][i+j];
status = yepMath_Sin_V64f_V64f(_p, _s, VLEN);
assert(status == YepStatusOk);
status = yepMath_Cos_V64f_V64f(_p, _c, VLEN);
assert(status == YepStatusOk);
for (i=0; i<VLEN; ++i) {
// exph = _c[i] - I*_s[i];
fxa[i+j] = ifo[0].sig.xDatma[i+j]*_c[i]-I*ifo[0].sig.xDatma[i+j]*_s[i];
fxb[i+j] = ifo[0].sig.xDatmb[i+j]*_c[i]-I*ifo[0].sig.xDatmb[i+j]*_s[i];
}
}
// remaining part is shorter than VLEN - no need to vectorize
for (i=0; i<sett->N-bnd; ++i){
j = bnd + i;
_p[i] = het1*j + sgnlt[1]*_tmp1[0][j];
}
status = yepMath_Sin_V64f_V64f(_p, _s, sett->N-bnd);
assert(status == YepStatusOk);
status = yepMath_Cos_V64f_V64f(_p, _c, sett->N-bnd);
assert(status == YepStatusOk);
for (i=0; i<sett->N-bnd; ++i) {
j = bnd + i;
//exph = _c[i] - I*_s[i];
//fxa[j] = ifo[0].sig.xDatma[j]*exph;
//fxb[j] = ifo[0].sig.xDatmb[j]*exph;
fxa[j] = ifo[0].sig.xDatma[j]*_c[i]-I*ifo[0].sig.xDatma[j]*_s[i];
fxb[j] = ifo[0].sig.xDatmb[j]*_c[i]-I*ifo[0].sig.xDatmb[j]*_s[i];
}
#elif defined(GNUSINCOS)
for(i=sett->N-1; i!=-1; --i) {
phase = het1*i + sgnlt[1]*_tmp1[0][i];
sincos(phase, &sp, &cp);
exph = cp - I*sp;
fxa[i] = ifo[0].sig.xDatma[i]*exph; //ifo[0].sig.sig2;
fxb[i] = ifo[0].sig.xDatmb[i]*exph; //ifo[0].sig.sig2;
}
#else
for(i=sett->N-1; i!=-1; --i) {
phase = het1*i + sgnlt[1]*_tmp1[0][i];
cp = cos(phase);
sp = sin(phase);
exph = cp - I*sp;
fxa[i] = ifo[0].sig.xDatma[i]*exph; //ifo[0].sig.sig2;
fxb[i] = ifo[0].sig.xDatmb[i]*exph; //ifo[0].sig.sig2;
}
#endif
for(n=1; n<sett->nifo; ++n) {
#if defined(SLEEF)
// use simd sincos from the SLEEF library;
// VECTLENDP is a simd vector length defined in the SLEEF library
// and it depends on selected instruction set e.g. -DENABLE_AVX
for (i=0; i<sett->N; i+=VECTLENDP) {
for(j=0; j<VECTLENDP; j++)
_p[j] = het1*(i+j) + sgnlt[1]*_tmp1[n][i+j];
a = vloadu(_p);
v = xsincos(a);
vstoreu(_p, v.x); // reuse _p for sin
vstoreu(_c, v.y);
for(j=0; j<VECTLENDP; ++j){
exph = _c[j] - I*_p[j];
fxa[i+j] = ifo[n].sig.xDatma[i+j]*exph;
fxb[i+j] = ifo[n].sig.xDatmb[i+j]*exph;
}
}
#elif defined(YEPPP)
// use yeppp! library;
// VLEN is length of vector to be processed
// for caches L1/L2 64/256kb optimal value is ~2048
for (j=0; j<bnd; j+=VLEN) {
//double *_tmp2 = &_tmp1[n][j];
for (i=0; i<VLEN; ++i)
// _p[i] = het1*(i+j) + sgnlt[1]*_tmp2[i];
_p[i] = het1*(j+i) + sgnlt[1]*_tmp1[n][j+i];
status = yepMath_Sin_V64f_V64f(_p, _s, VLEN);
assert(status == YepStatusOk);
status = yepMath_Cos_V64f_V64f(_p, _c, VLEN);
assert(status == YepStatusOk);
for (i=0; i<VLEN; ++i) {
//exph = _c[i] - I*_s[i];
//fxa[j+i] += ifo[n].sig.xDatma[j+i]*exph;
//fxb[j+i] += ifo[n].sig.xDatmb[j+i]*exph;
fxa[i+j] += ifo[n].sig.xDatma[i+j]*_c[i]-I*ifo[n].sig.xDatma[i+j]*_s[i];
fxb[i+j] += ifo[n].sig.xDatmb[i+j]*_c[i]-I*ifo[n].sig.xDatmb[i+j]*_s[i];
}
}
// remaining part is shorter than VLEN - no need to vectorize
for (i=0; i<sett->N-bnd; ++i){
j = bnd + i;
_p[i] = het1*j + sgnlt[1]*_tmp1[n][j];
}
status = yepMath_Sin_V64f_V64f(_p, _s, sett->N-bnd);
assert(status == YepStatusOk);
status = yepMath_Cos_V64f_V64f(_p, _c, sett->N-bnd);
assert(status == YepStatusOk);
for (i=0; i<sett->N-bnd; ++i) {
j = bnd + i;
//exph = _c[i] - I*_s[i];
//fxa[j] += ifo[n].sig.xDatma[j]*exph;
//fxb[j] += ifo[n].sig.xDatmb[j]*exph;
fxa[j] += ifo[n].sig.xDatma[j]*_c[i]-I*ifo[n].sig.xDatma[j]*_s[i];
fxb[j] += ifo[n].sig.xDatmb[j]*_c[i]-I*ifo[n].sig.xDatmb[j]*_s[i];
}
#elif defined(GNUSINCOS)
for(i=sett->N-1; i!=-1; --i) {
phase = het1*i + sgnlt[1]*_tmp1[n][i];
sincos(phase, &sp, &cp);
exph = cp - I*sp;
fxa[i] += ifo[n].sig.xDatma[i]*exph;
fxb[i] += ifo[n].sig.xDatmb[i]*exph;
}
#else
for(i=sett->N-1; i!=-1; --i) {
phase = het1*i + sgnlt[1]*_tmp1[n][i];
cp = cos(phase);
sp = sin(phase);
exph = cp - I*sp;
fxa[i] += ifo[n].sig.xDatma[i]*exph;
fxb[i] += ifo[n].sig.xDatmb[i]*exph;
}
#endif
}
// Zero-padding
for(i = sett->fftpad*sett->nfft-1; i != sett->N-1; --i)
fxa[i] = fxb[i] = 0.;
fftw_execute_dft(plans->plan, fxa, fxa);
fftw_execute_dft(plans->plan, fxb, fxb);
// Computing F-statistic
for (i=sett->nmin; i<sett->nmax; i++) {
F[i] = (sqr(creal(fxa[i])) + sqr(cimag(fxa[i])))/aa +
(sqr(creal(fxb[i])) + sqr(cimag(fxb[i])))/bb;
}
// for (i=sett->nmin; i<sett->nmax; i++)
// F[i] += (sqr(creal(fxb[i])) + sqr(cimag(fxb[i])))/bb;
#pragma omp atomic
(*FNum)++;
#if 0
FILE *f1 = fopen("fraw-1.dat", "w");
for(i=sett->nmin; i<sett->nmax; i++)
fprintf(f1, "%d %lf %lf\n", i, F[i], 2.*M_PI*i/((double) sett->fftpad*sett->nfft) + sgnl0);
fclose(f1);
#endif
#ifndef NORMTOMAX
//#define NAVFSTAT 4096
// Normalize F-statistics
if(!(opts->white_flag)) // if the noise is not white noise
FStat(F + sett->nmin, sett->nmax - sett->nmin, NAVFSTAT, 0);
// f1 = fopen("fnorm-4096-1.dat", "w");
//for(i=sett->nmin; i<sett->nmax; i++)
//fprintf(f1, "%d %lf %lf\n", i, F[i], 2.*M_PI*i/((double) sett->fftpad*sett->nfft) + sgnl0);
//fclose(f1);
// exit(EXIT_SUCCESS);
for(i=sett->nmin; i<sett->nmax; i++) {
if ((Fc = F[i]) > opts->trl) { // if F-stat exceeds trl (critical value)
// Find local maximum for neighboring signals
ii = i;
while (++i < sett->nmax && F[i] > opts->trl) {
if(F[i] >= Fc) {
ii = i;
Fc = F[i];
} // if F[i]
} // while i
// Candidate signal frequency
sgnlt[0] = 2.*M_PI*ii/((FLOAT_TYPE)sett->fftpad*sett->nfft) + sgnl0;
// Signal-to-noise ratio
sgnlt[4] = sqrt(2.*(Fc-sett->nd));
// Checking if signal is within a known instrumental line
int k, veto_status = 0;
for(k=0; k<sett->numlines_band; k++)
if(sgnlt[0]>=sett->lines[k][0] && sgnlt[0]<=sett->lines[k][1]) {
veto_status=1;
break;
}
int _sgnlc;
if(!veto_status) {
/*
#pragma omp critical
{
(*sgnlc)++; // increase found number
// Add new parameters to output array
for (j=0; j<NPAR; ++j) // save new parameters
sgnlv[NPAR*(*sgnlc-1)+j] = (FLOAT_TYPE)sgnlt[j];
}
*/
#pragma omp atomic capture
{
(*sgnlc)++; // increase found number
_sgnlc = *sgnlc;
}
// Add new parameters to output array
for (j=0; j<NPAR; ++j) // save new parameters
sgnlv[NPAR*(_sgnlc-1)+j] = (FLOAT_TYPE)sgnlt[j];
#ifdef VERBOSE
printf ("\nSignal %d: %d %d %d %d %d snr=%.2f\n",
*sgnlc, pm, mm, nn, ss, ii, sgnlt[4]);
#endif
}
} // if Fc > trl
} // for i
#else // new version
imax = -1;
// find local maxima first
//printf("nmin=%d nmax=%d nfft=%d nblocks=%d\n", sett->nmin, sett->nmax, nfft, nfft/blksize);
for(iblk=0; iblk < nfft/blksize; ++iblk) {
blkavg = 0.;
blkstart = sett->nmin + iblk*blksize; // block start index in F
// in case the last block is shorter than blksize, include its elements in the previous block
if(iblk==(nfft/blksize-1)) {blksize = sett->nmax - blkstart;}
imax0 = imax+1; // index of first maximum in current block
//printf("\niblk=%d blkstart=%d blksize=%d imax0=%d\n", iblk, blkstart, blksize, imax0);
for(i=1; i <= blksize; ++i) { // include first element of the next block
ii = blkstart + i;
if(ii < sett->nmax)
{ihi=ii+1;}
else
{ihi = sett->nmax; /*printf("ihi=%d ii=%d\n", ihi, ii);*/};
if(F[ii] > F[ii-1] && F[ii] > F[ihi]) {
blkavg += F[ii];
Fmax[++imax] = ii;
++i; // next element can't be maximum - skip it
}
} // i
// now imax points to the last element of Fmax
// normalize in blocks
blkavg /= (double)(imax - imax0 + 1);
for(i=imax0; i <= imax; ++i)
F[Fmax[i]] /= blkavg;
} // iblk
//f1 = fopen("fmax.dat", "w");
//for(i=1; i < imax; i++)
//fprintf(f1, "%d %lf \n", Fmax[i], F[Fmax[i]]);
//fclose(f1);
//exit(EXIT_SUCCESS);
// apply threshold limit
for(i=0; i <= imax; ++i){
//if(F[Fmax[i]] > opts->trl) {
if(F[Fmax[i]] > threshold) {
sgnlt[0] = 2.*M_PI*i/((FLOAT_TYPE)sett->fftpad*sett->nfft) + sgnl0;
// Signal-to-noise ratio
sgnlt[4] = sqrt(2.*(F[Fmax[i]] - sett->nd));
// Checking if signal is within a known instrumental line
int k, veto_status=0;
for(k=0; k<sett->numlines_band; k++)
if(sgnlt[0]>=sett->lines[k][0] && sgnlt[0]<=sett->lines[k][1]) {
veto_status=1;
break;
}
if(!veto_status) {
(*sgnlc)++; // increase number of found candidates
// Add new parameters to buffer array
for (j=0; j<NPAR; ++j)
sgnlv[NPAR*(*sgnlc-1)+j] = (FLOAT_TYPE)sgnlt[j];
#ifdef VERBOSE
printf ("\nSignal %d: %d %d %d %d %d snr=%.2f\n",
*sgnlc, pm, mm, nn, ss, Fmax[i], sgnlt[4]);
#endif
}
}
} // i
#endif // old/new version
#if TIMERS>2
tend = get_current_time(CLOCK_PROCESS_CPUTIME_ID);
spindown_timer += get_time_difference(tstart, tend);
spindown_counter++;
#endif
} // for ss
} // omp parallel
#ifndef VERBOSE
printf("Number of signals found: %d\n", *sgnlc);
#endif
// tend = get_current_time(CLOCK_REALTIME);
//time_elapsed = get_time_difference(tstart, tend);
//printf("Parallel part: %e ( per thread %e ) s\n", time_elapsed, time_elapsed/omp_get_max_threads());
#if TIMERS>2
printf("\nTotal spindown loop time: %e s, mean spindown cpu-time: %e s (%d runs)\n",
spindown_timer, spindown_timer/spindown_counter, spindown_counter);
#endif
return 0;
} // jobcore