void xyline(int npts, float *x, float *y, const char *xlab, const char *ylab, int id)
{
float xmin, xmax, ymin, ymax;
float overy, over = 0.1;
/* Determine min and max values to plot and scaling: */
find_min_max_arr(npts, x, &xmin, &xmax);
find_min_max_arr(npts, y, &ymin, &ymax);
overy = over * (ymax - ymin);
ymax += overy;
ymin -= overy;
/* Setup the plot screen: */
cpgenv(xmin, xmax, ymin, ymax, 0, 0);
/* Choose the font: */
cpgscf(2);
/* Label the axes: */
cpglab(xlab, ylab, "");
/* Add ID line if required */
if (id == 1)
cpgiden();
/* Plot the points: */
cpgline(npts, x, y);
}
void plot_channel_data()
{
int samp=0;
int pg_id;
pg_id = cpgopen("/XSERVE");
cpgpap(8.0, 0.8);
cpgask(0);
cpgpage();
cpgslct(pg_id);
cpgsci(3);
cpgeras();
cpgsvp(0.15f, 0.95f, 0.2f, 0.8f);
cpgupdt();
cpgsch(2.0);
cpgswin(0, read_count, -0.1f, 0.1f);
cpgbox("BC1NST",0.0,0,"BCNST",0.0,0);
cpglab("Time [samples]", "Voltage [volts]", "Antenna Measurement Receiver");
cpgmove(samp, voltarray[0]);
for (samp=2; samp<read_count; samp++)
{
cpgdraw(samp, voltarray[samp]);
}
return 0;
}
static void demo1()
{
int i;
static float xs[] = {1.0, 2.0, 3.0, 4.0, 5.0 };
static float ys[] = {1.0, 4.0, 9.0, 16.0, 25.0 };
float xr[60], yr[60];
int n = sizeof(xr) / sizeof(xr[0]);
/*
* Call cpgenv to specify the range of the axes and to draw a box, and
* cpglab to label it. The x-axis runs from 0 to 10, and y from 0 to 20.
*/
cpgenv(0.0, 10.0, 0.0, 20.0, 0, 1);
cpglab("(x)", "(y)", "PGPLOT Example 1: y = x\\u2\\d");
/*
* Mark five points (coordinates in arrays XS and YS), using symbol
* number 9.
*/
cpgpt(5, xs, ys, 9);
/*
* Compute the function at 'n=60' points, and use cpgline to draw it.
*/
for(i=0; i<n; i++) {
xr[i] = 0.1*i;
yr[i] = xr[i]*xr[i];
}
cpgline(n, xr, yr);
return;
}
int main(int argc, char** argv)
{
if(argc!=2)
{
perror("Invalid arguements : SMROStats <file.lba>\n");
exit(1);
}
// Get the filename from the command line
char* filename = argv[1];
// Get stats for input file
struct stat file_stats;
if(stat(filename,&file_stats))
{
perror("Couldn't retrieve file information.\n");
exit(1);
}
// Check length of input file
int max=1024; // No. of blocks to read. When max=1024;64MB of input used
if(file_stats.st_size<(BLK_SIZE*max))
max=file_stats.st_size/BLK_SIZE;
// Data loader
dsp::SMROFile* loader = new dsp::SMROFile;
loader->open( filename );
loader->set_output( new dsp::BitSeries );
loader->set_block_size( BLK_SIZE );
// Convert to a dsp::TimeSeries
dsp::SMROTwoBitCorrection* unpacker = new dsp::SMROTwoBitCorrection;
unpacker->set_input( loader->get_output() );
unpacker->set_output( new dsp::TimeSeries );
// Go to work
int count;
for(count=0;count<max;count++) // Load and unpack (BLK_SIZE*max) bytes
{
loader->operate();
unpacker->operate();
}
loader->close();
// Plot Histogram
cpgopen("?");
cpglab("","","SMRO Sampler Statistics");
cpgsvp(0.1,0.9,0.1,0.9);
dsp::TwoBitStatsPlotter* plot = new dsp::TwoBitStatsPlotter;
plot->set_data(unpacker);
plot->plot();
cpgclos();
// Free memory
delete loader,unpacker;
}
void plot_profile(int proflen, float *profile, const char *title,
const char *probtxt, const char *foldtxt,
int showerr, float *errors, int showid)
{
int ii;
float *x, overy, ymin, ymax;
float errmin = 0.0, errmax = 0.0, offset, avg = 0.0, av[2];
find_min_max_arr(proflen, profile, &ymin, &ymax);
if (showerr)
find_min_max_arr(proflen, errors, &errmin, &errmax);
overy = 0.1 * (ymax + errmax - ymin - errmin);
ymax = ymax + overy + errmax;
ymin = ymin - overy - errmin;
x = gen_fvect(proflen);
for (ii = 0; ii < proflen; ii++)
x[ii] = (float) ii / (float) proflen;
cpgenv(0.0, 1.00001, ymin, ymax, 0, 0);
cpgscf(2);
cpglab("Pulse Phase", "Counts", "");
if (showid)
cpgiden();
cpgslw(5);
if (showerr) {
cpgbin(proflen, x, profile, 0);
} else {
cpgline(proflen, x, profile);
}
cpgslw(1);
if (showerr) {
offset = 0.5 / (float) proflen;
for (ii = 0; ii < proflen; ii++)
x[ii] += offset;
cpgerrb(6, proflen, x, profile, errors, 2);
cpgpt(proflen, x, profile, 5);
}
for (ii = 0; ii < proflen; ii++)
avg += profile[ii];
avg /= proflen;
cpgsls(4);
x[0] = 0.0;
x[1] = 1.0;
av[0] = avg;
av[1] = avg;
cpgline(2, x, av);
cpgsls(1);
cpgsch(1.3);
cpgmtxt("T", +2.0, 0.5, 0.5, title);
cpgsch(1.0);
cpgmtxt("T", +0.8, 0.5, 0.5, foldtxt);
cpgmtxt("T", -1.5, 0.5, 0.5, probtxt);
vect_free(x);
}
/*
* Class: pulsarhunter_PgplotInterface
* Method: pglab
* Signature: (Ljava/lang/String;Ljava/lang/String;Ljava/lang/String;)V
*/
JNIEXPORT void JNICALL Java_pulsarhunter_PgplotInterface_pglab
(JNIEnv *env, jclass cl, jstring x, jstring y, jstring top){
char *xStr = (char*)(*env)->GetStringUTFChars(env,x,NULL);
char *yStr = (char*)(*env)->GetStringUTFChars(env,y,NULL);
char *topStr = (char*)(*env)->GetStringUTFChars(env,top,NULL);
jint strlen1 = (*env)->GetStringUTFLength(env,x);
jint strlen2 = (*env)->GetStringUTFLength(env,y);
jint strlen3 = (*env)->GetStringUTFLength(env,top);
cpglab(xStr,yStr,topStr);
(*env)->ReleaseStringUTFChars(env,x,xStr);
(*env)->ReleaseStringUTFChars(env,y,yStr);
(*env)->ReleaseStringUTFChars(env,top,topStr);
}
void powerplot(int npts, float *freqs, float *amp, float norm, int id)
{
float *pwr, xmin, xmax, ymin, ymax;
float overy, over = 0.1;
int i, ptr;
pwr = (float *) malloc((size_t) npts * sizeof(float));
if (!pwr) {
printf("Error allocating 'pwr' in powerplot. Exiting.\n\n");
exit(EXIT_FAILURE);
}
/* Turn the complex amps into a power series: */
for (i = 0; i < npts; i++) {
ptr = i * 2;
pwr[i] = plot_power(amp[ptr], amp[ptr + 1]) / norm;
}
/* Determine min and max values to plot and scaling: */
find_min_max_arr(npts, freqs, &xmin, &xmax);
find_min_max_arr(npts, pwr, &ymin, &ymax);
overy = over * (ymax - ymin);
ymax += overy;
/* Setup the plot screen: */
cpgenv(xmin, xmax, ymin, ymax, 0, 1);
/* Choose the font: */
cpgscf(2);
/* Label the axes: */
cpglab("Frequency", "Power", "");
/* Add ID line if required */
if (id == 1)
cpgiden();
/* Plot the points: */
cpgline(npts, freqs, pwr);
free(pwr);
}
int plot_freq_data(void)
{
int bin=0;
printf("\nPlotting ...");
cpgask(0);
cpgpage();
cpgslct(pg_id);
cpgsci(1);
cpgeras();
cpgsvp(0.15f, 0.95f, 0.2f, 0.8f);
cpgupdt();
cpgsch(2.0);
cpgswin(0, (N/2)+1, 0.0f, 0.005f);
// cpgswin(80, 120, 0.0f, 0.01f);
cpgbox("BC1NST",0.0,0,"BCNST",0.0,0);
cpglab("Frequency [bins]", "Peak Voltage [volts]", "Antenna Measurement Receiver");
cpgmove(bin, accumFreqData[0]);
for (bin=1; bin<(N/2)+1; bin++)
{
cpgdraw(bin, accumFreqData[bin]);
}
return 0;
}
int plot_shifts(Secat *shiftcat, int nshift)
{
int i; /* Looping variable */
int no_error=1; /* Flag set to 0 on error */
float x1,x2,y1,y2; /* Limits on plot */
float *fdx=NULL; /* float version of x offsets */
float *fdy=NULL; /* float version of y offsets */
float *fxptr,*fyptr; /* Navigation pointers */
double *dx=NULL; /* x offsets */
double *dy=NULL; /* y offsets */
double *xptr,*yptr; /* Navigation pointers */
double xmean, xsig, xmed; /* Statistics on dx */
double ymean, ysig, ymed; /* Statistics on dx */
Secat *sptr; /* Pointer to navigate shiftcat */
FILE *ofp=NULL; /* Output file pointer */
/*
* Allocate memory for dx and dy arrays
*/
if(!(dx = new_doubarray(nshift))) {
fprintf(stderr,"ERROR: calc_shift_stats\n");
return 1;
}
if(!(dy = new_doubarray(nshift)))
no_error = 0;
if(!(fdx = new_array(nshift,1)))
no_error = 0;
if(!(fdy = new_array(nshift,1)))
no_error = 0;
if(no_error) {
/*
* Transfer info to new arrays
*/
for(i=0,sptr=shiftcat,xptr=dx,yptr=dy,fxptr=fdx,fyptr=fdy;
i<nshift; i++,sptr++,xptr++,yptr++,fxptr++,fyptr++) {
*xptr = sptr->dx;
*yptr = sptr->dy;
*fxptr = (float) sptr->dx;
*fyptr = (float) sptr->dy;
}
/*
* Calculate statistics on dx and dy
*/
doubstats(dx,nshift,&xmean,&xsig,&xmed);
doubstats(dy,nshift,&ymean,&ysig,&ymed);
/*
* Give output values
*/
printf("\nStatistics on x shift:\n");
printf(" mean = %f\n",xmean);
printf(" rms = %f\n",xsig);
printf(" median = %f\n",xmed);
printf("Statistics on y shift:\n");
printf(" mean = %f\n",ymean);
printf(" rms = %f\n",ysig);
printf(" median = %f\n",ymed);
/*
* Set the limits and median
*/
x1 = xmed - 5.0 * xsig;
x2 = xmed + 5.0 * xsig;
y1 = ymed - 5.0 * ysig;
y2 = ymed + 5.0 * ysig;
/*
* Plot distribution
*/
cpgslct(2);
cpgenv(x1,x2,y1,y2,0,1);
cpglab("x shift","y shift","Calculated Shifts");
cpgpt(nshift,fdx,fdy,9);
/*
* Plot median
*/
cpgsci(2);
cpgslw(5);
fdx[0] = fdx[1] = xmed;
fdy[0] = y1;
fdy[1] = y2;
cpgline(2,fdx,fdy);
fdy[0] = fdy[1] = ymed;
fdx[0] = x1;
fdx[1] = x2;
cpgline(2,fdx,fdy);
cpgsci(1);
cpgslw(1);
}
/*
* Write median shifts to output file -- NB: for these to be the
* proper shifts for an iraf imcombine offsets file, the value
* need to be the negative of what the above calculation gives.
*/
if(!(ofp = open_writefile("tmp.offsets")))
no_error = 0;
else
fprintf(ofp,"%8.2f %8.2f\n",-xmed,-ymed);
/*
* Clean up and exit
*/
dx = del_doubarray(dx);
dy = del_doubarray(dy);
fdx = del_array(fdx);
fdy = del_array(fdy);
if(ofp)
fclose(ofp);
if(no_error)
return 0;
else {
fprintf(stderr,"ERROR: calc_shift_stats\n");
return 1;
}
}
void nrpoint(float x[],float y[],float azy[],float ely[],float azmod[],float elmod[],float sig[],int ndata,int num_gauss,int flag,int ant_num,int plotflag,char
*header)
{
FILE *fp1,*fp2,*fp3,*fp4,*fp5;
float rms(float *,int);
float arg, guessed_parameters,xmin,xmax,ymin,ymax,tmp,rms_fac;
float alamda,chisq,ochisq,**covar,**alpha,*a;
int i,*ia,itst,j,k,l,numplot,i_maxy,i_miny,MA, NPT;
char ans[200],f_line[200],c;
char file_n1[160],file_n2[160],file_n3[160],file_n4[160],file_n5[160];
char xtitle[60],ytitle[60],title[60],plotant[10];
FILE *fpsummary, *headerfp;
char fullfilename[250];
char buffer[2048]; /* must be larger than length of header */
char *token[MAX_TOKENS];
int tokens;
char rxlabelhigh[30];
char rxlabellow[30];
float xx[1600],yy[1600],yyy[1600],res[1600];
/* following for aperture efficiency 16 Nov 04, TK */
char etaCommand[130], rawfilename[256];
FILE *fpi_eta,*fpo_eta, *fph_eta;
int use_beam, time_stamp;
float tau_zenith,Tcmbr,Tatm,Thot,Tamb,Tcab,eta_l,delVsource,Vhot,Vsky,err,el,SB;
float Frequency, TBright, VhotL, VhotH, VskyL, VskyH;
float PlanetDia, WidthFwhm,fwhm_beam, EtaA, EtaB;
char object[20], date[30];
/* aperture efficiecny additions end */
sprintf(file_n1,"/usr/PowerPC/common/data/rpoint/ant%d/load.fitted.dat",ant_num);
sprintf(file_n2,"/usr/PowerPC/common/data/rpoint/ant%d/load.initial.dat",ant_num);
sprintf(file_n3,"/usr/PowerPC/common/data/rpoint/ant%d/load.temp.dat",ant_num);
sprintf(file_n4,"/usr/PowerPC/common/data/rpoint/ant%d/load.results.dat",ant_num);
sprintf(file_n5,"/usr/PowerPC/common/data/rpoint/ant%d/rpoint.ant%1d",ant_num,ant_num);
if ((fp1=fopen(file_n1,"w"))==NULL){
printf("nrpoint: cannot open n1 = %s\n",file_n1);
exit(1);
}
chmod(file_n1,0666);
if ((fp3=fopen(file_n3,"w"))==NULL){
printf("nrpoint: cannot open n2 (first time) = %s\n",file_n3);
exit(1);
}
chmod(file_n3,0666);
if ((fp4=fopen(file_n4,"a"))==NULL){
printf("nrpoint: cannot open n4 = %s\n",file_n4);
exit(1);
}
chmod(file_n4,0666);
if ((fp5=fopen(file_n5,"a"))==NULL){
printf("nrpoint: cannot open n5 = %s\n",file_n5);
exit(1);
}
chmod(file_n5,0666);
NPT=ndata;MA=num_gauss;
/*
printf("number of data = %d number of fitting components = %d flag = %d\n", NPT,MA/5,flag);
*/
ia=ivector(1,MA);
a=vector(1,MA);
covar=matrix(1,MA,1,MA);
alpha=matrix(1,MA,1,MA);
/* read data */
xmin=1e6;ymin=1e6;
xmax=-1e6;ymax=-1e6;
for (i=1;i<=NPT;i++) {
xx[i-1]=x[i];
yy[i-1]=y[i];
if(xmin>=x[i]) xmin=x[i];
if(xmax<x[i]) xmax=x[i];
if(ymin>=y[i]){ymin=y[i];i_miny=i;}
if(ymax<y[i]) {ymax=y[i];i_maxy=i;}
/*
if(i<10) printf("%d %f %f %f %f %f %f\n",i,x[i],y[i],ymin,ymax,azy[i],ely[i],sig[i]);
*/
fprintf(fp3,"%f %f\n",x[i],y[i]);
}
tmp=ymax-ymin;
ymax=tmp*0.2+ymax;
ymin=ymin-tmp*0.2;
fclose(fp3);
/* PGPLOT */
sprintf(plotant,"%d/xs",(ant_num+10));
if(plotflag){
if(cpgbeg(0,plotant,1,1)!=1) exit(1);
cpgenv(xmin,xmax,ymin,ymax,0,0);
cpgpt(NPT,xx,yy,2);
cpgline(NPT,xx,yy);
tokens = tokenize(header,token);
strcpy(rxlabelhigh,token[RX_LABEL_HIGH]);
strcpy(rxlabellow,token[RX_LABEL_LOW]);
if (lowfreqflag == 0) {
sprintf(title,"Antenna %1d High-frequency (%s) Raw data",ant_num,rxlabelhigh);
} else {
sprintf(title,"Antenna %1d Low-frequency (%s) Raw data",ant_num,rxlabellow);
}
if(flag){
sprintf(xtitle,"Antenna %ld Azoff (arcsec)",ant_num);
} else {
sprintf(xtitle,"Antenna %ld Eloff (arcsec)",ant_num);
}
sprintf(ytitle,"Intensity (Volts)");
cpglab(xtitle,ytitle,title);
cpgend();
}
/* initial values of parameters:::::: */
if ((fp2=fopen(file_n2,"w"))==NULL){
printf("nrpoint: cannot open n2 (second time) = %s\n",file_n2);
exit(1);
}
chmod(file_n2,0666);
if(fabs(ymax)>=fabs(ymin)) {
fprintf(fp2,"%f\n",ymax-ymin);
fprintf(fp2,"%f\n",x[i_maxy]);
}
if(fabs(ymin)>fabs(ymax)) {
fprintf(fp2,"%f\n",ymin-ymax);
fprintf(fp2,"%f\n",x[i_miny]);
}
fprintf(fp2,"%f\n",20.0);
fprintf(fp2,"%f\n",0.0);
fprintf(fp2,"%f\n",y[1]);
fclose(fp2);
if ((fp2=fopen(file_n2,"r"))==NULL){
printf("nrpoint: cannot open n2 for read = %s\n",file_n2);
exit(1);
}
for(i=1;i<=MA;i++)
{
fscanf(fp2,"%f\n",&guessed_parameters);
a[i]=guessed_parameters;
ia[i]=i;
}
fclose(fp2);
/* start fitting */
alamda = -1;
mrqmin(x,y,sig,NPT,a,ia,MA,covar,alpha,&chisq,fgauss2,&alamda);
k=1;
itst=0;
for (;;) {
/*
printf("\n%s %2d %17s %9.3e %10s %9.3e\n","Iteration #",k, "chi-squared:",chisq,"alamda:",alamda);
for (i=1;i<=MA;i++) printf("%5.3e ",a[i]);
printf("\n");
*/
k++;
ochisq=chisq;
mrqmin(x,y,sig,NPT,a,ia,MA,covar,alpha,&chisq,fgauss2,&alamda);
if (chisq > ochisq)
itst=0;
else if ((fabs(ochisq-chisq) < 0.01 &&
fabs(chisq) < .1) || (k>10))
{itst++;}
if (itst < 4) continue;
/*
if ((fp2=fopen(file_n2,"w"))==NULL){
printf("cannot open %s\n",file_n2);
exit(1);
}
*/
/*
for (i=1;i<=MA;i++) fprintf(fp2,"%f\n",a[i]);
*/
for (i=1;i<=MA;i++) fprintf(fp4,"%f ",a[i]);
fprintf(fp4,"%f ",chisq);
printf("%f\n ",chisq);
/*
fprintf(fp2,"\n");
*/
fprintf(fp4,"\n\n");
/*
fclose(fp2);
*/
for(j=1;j<=NPT;j++){
yyy[j-1]=0.0;
for(k=1;k<=MA;k+=5){
arg=(x[j]-a[k+1])/a[k+2];
yyy[j-1]+=a[k]*exp(-arg*arg)+a[k+3]*x[j]+a[k+4];
}
res[j-1]=y[j]-yyy[j-1]+a[5];
fprintf (fp1,"%.6f %.6f %.6f %.6f\n",x[j],y[j],yyy[j-1],res[j-1]);
}
fclose(fp1);
alamda=0.0;
mrqmin(x,y,sig,NPT,a,ia,MA,covar,alpha,&chisq,fgauss2,&alamda);
rms_fac=rms(res,NPT);
printf("\nUncertainties:\n");
for (i=1;i<=MA;i++) printf("%8.4e ",rms_fac*sqrt(covar[i][i]));
printf("\n");
fprintf(fp4,"\nUncertainties:\n");
for (i=1;i<=MA;i++) fprintf(fp4,"%8.4e ",rms_fac*sqrt(covar[i][i]));
fprintf(fp4,"\n");
printf("Generating plot....\n");
break;
}
fclose(fp4);
if(flag){
if (lowfreqflag == 0) {
sprintf(title,"Antenna %1d High-frequency (%s) AZ scan Fitted data",ant_num,rxlabelhigh);
} else {
sprintf(title,"Antenna %1d Low-frequency (%s) AZ scan Fitted data",ant_num,rxlabellow);
}
sprintf(xtitle,"Antenna %ld Azoff (arcsec)",ant_num);
}
else{
if (lowfreqflag == 0) {
sprintf(title,"Antenna %1d High-frequency (%s) El scan Fitted data",ant_num,rxlabelhigh);
} else {
sprintf(title,"Antenna %1d Low-frequency (%s) El scan Fitted data",ant_num,rxlabellow);
}
sprintf(xtitle,"Antenna %ld Eloff (arcsec)",ant_num);
}
sprintf(ytitle,"Intensity (Volts)");
/* PGPLOT */
sprintf(plotant,"%d/xs",(ant_num+10));
if(plotflag){
if(cpgbeg(0,plotant,1,1)!=1) exit(1);
/* These do nothing helpful:
cpgeras();
cpgupdt();
*/
cpgenv(xmin,xmax,ymin,ymax,0,0);
cpgpt(NPT,xx,yy,2);
cpgline(NPT,xx,yyy);
cpgpt(NPT,xx,res,-1);
cpglab(xtitle,ytitle,title);
sprintf(f_line,"az= %10.4f deg",azy[i_maxy]);
cpgmtxt("t",-2.5,0.05,0,f_line);
sprintf(f_line,"el = %10.4f deg",ely[i_maxy]);
cpgmtxt("t",-4.0,0.05,0,f_line);
sprintf(f_line,"y= %10.4f",a[1]);
cpgmtxt("t",-7.0,0.05,0,f_line);
sprintf(f_line,"x = %10.4f arcsec",a[2]);
cpgmtxt("t",-5.5,0.05,0,f_line);
sprintf(f_line,"width = %10.4f",a[3]*2*0.83255);
cpgmtxt("t",-8.5,0.05,0,f_line);
sprintf(f_line,"chisq = %10.4e",chisq);
cpgmtxt("t",-10.0,0.05,0,f_line);
cpgend();
}
fpsummary = fopen(summary_file_name,"r");
if (fpsummary == NULL) {
fpsummary = fopen(summary_file_name,"w");
} else {
fclose(fpsummary);
fpsummary = fopen(summary_file_name,"a");
}
if (fpsummary == NULL) {
printf("Could not write to summary file = %s\n",summary_file_name);
} else {
#if USE_HEADER
sprintf(fullfilename,"/data/engineering/rpoint/ant%d/header.dat",ant_num);
headerfp = fopen(fullfilename,"r");
/* skip the first line */
fgets(buffer,sizeof(buffer),headerfp);
fgets(buffer,sizeof(buffer),headerfp);
fclose(headerfp);
/* cut off the final carriage return */
buffer[strlen(buffer)-1] = 0;
fprintf(fpsummary,"%s,",buffer);
#endif
if (flag == 1) {
fprintf(fpsummary,"rpoint: azoff %f %f %f %f ",a[1],a[2],
a[3]*2*0.83255, rms_fac*sqrt(covar[2][2]));
} else {
fprintf(fpsummary,"rpoint: eloff %f %f %f %f ",a[1],a[2],
a[3]*2*0.83255, rms_fac*sqrt(covar[2][2]));
}
/* Following lines added 16 Nov 04, for aperture efficiecncy: TK */
/* create a temporary file eta_tmp and run the aperture efficiency program */
/* needed:
/* 4: source - object
14: planetdia
29: temperature
37: cabin temperature
40: elcmd
91: rest freq
92: sidebandA
a[1]=intensity
a[2]=offset
a[3]*2*0.83255=scanwidth
*/
printf("Computing aperture efficiency....\n");
fpi_eta=fopen("aperInput.tmp","w");
use_beam=USE_BEAM;
delVsource=a[1];
WidthFwhm=a[3]*2*0.83255;
sprintf(etaCommand, "nawk -F, \' (NR>=2) {print $4,$14,$29,$37,$40,$91,$92,$107}\' /data/engineering/rpoint/ant%d/header.dat > picked.tmp",ant_num);
/* printf("%s\n", etaCommand); */
system(etaCommand);
fph_eta=fopen("picked.tmp","r");
fscanf(fph_eta,"%s %f %f %f %f %f %f",object,&PlanetDia,&Tamb,&Tcab,&el,&Frequency,&SB);
fscanf(fph_eta, "%s %f %d %f %d %f %d %f %d %f %d %f %d %f %d %f %f", rawfilename, &VhotL, &time_stamp, &VhotH, &time_stamp, &VskyL, &time_stamp, &VskyH, &time_stamp, &tau_zenith, &time_stamp, &Tatm , &time_stamp, &eta_l, &time_stamp, &Frequency, &SB);
if (lowfreqflag == 0) {
Vhot=VhotL;
Vsky=VskyL;
}
else {
Vhot=VhotH;
Vsky=VskyH;
}
/* fscanf(fph_eta, "%s %f %f %f %f %f %f %f %f", rawfilename, &Thot, &tau_zenith, &eta_l, &Vhot, &Vsky, &delVsource,
&WidthFwhm); */
printf("raw file name: %s\n", rawfilename);
Tamb = (Tamb+Tcab)/2.0;
Thot=Tamb;
/* Frequency=Frequency-SB*5.0; */
/*
Thot=
Vhot=
Vsky=
delVsource=
fwhm_beam=52.0;
WidthFwhm=
Tbright=100;
TBright=
*/
if (object=="jupiter") TBright=TB_JUP;
if (object=="saturn") TBright=TB_SAT;
if (strstr(object,"jupiter")!=NULL) TBright=TB_JUP;
if (strstr(object,"saturn")!=NULL) TBright=TB_SAT;
err=0.0;
fprintf(fpi_eta, "%s %d %s %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %d\n", rawfilename, ant_num, object, el, tau_zenith, Thot,Tamb,Tatm,eta_l,Vhot,Vsky,delVsource,fwhm_beam,Frequency, PlanetDia, WidthFwhm,TBright,err,use_beam);
sprintf(etaCommand, "aperEff aperInput.tmp");
system(etaCommand);
fpo_eta=fopen("aperResults.tmp","w");
/* fscanf(fpo_eta, "%f %f %f", &EtaA,&EtaB,&fwhm_beam); */
fprintf(fpo_eta,"%3.2f %3.2f %4.1f\n",EtaA,EtaB,fwhm_beam);
fprintf(fpsummary,"%3.2f %3.2f %4.1f\n",EtaA,EtaB,fwhm_beam);
fclose(fpsummary);
fclose(fpi_eta);
fclose(fpo_eta);
fclose(fph_eta);
/* remove("aperResults.tmp");
remove("aperInput.tmp"); */
}
printf("recorded! \n");
printf("azfit %s | %10.5f %10.5f %10.5f %10.4f %10.2f +- %10.2f %8.1f %8.1f\n",header,azy[i_maxy],ely[i_maxy],a[1],a[3]*2*0.83255,a[2],rms_fac*sqrt(covar[2][2]),azmod[i_maxy],elmod[i_maxy]);
if(flag==1) fprintf(fp5,"azfit %s | %10.5f %10.5f %10.5f %10.4f %10.2f +- %10.2f %8.1f %8.1f\n",header,azy[i_maxy],ely[i_maxy],a[1],a[3]*2*0.83255,a[2],rms_fac*sqrt(covar[2][2]),azmod[i_maxy],elmod[i_maxy]);
else fprintf(fp5,"elfit %s | %10.5f %10.5f %10.5f %10.4f %10.2f +- %10.2f %8.1f %8.1f \n",header,azy[i_maxy],ely[i_maxy],a[1],a[3]*2*0.83255,a[2],rms_fac*sqrt(covar[2][2]),azmod[i_maxy],elmod[i_maxy]);
fclose(fp5);
free_matrix(alpha,1,MA,1,MA);
free_matrix(covar,1,MA,1,MA);
free_ivector(ia,1,MA);
free_vector(a,1,MA);
}
int main(int argc,char *argv[])
{
int i;
char fname[128];
dSet *data;
float freq,bw,chanbw;
int nchan,npol;
float bpass[4096];
float fx[4096];
float miny,maxy,minx,maxx;
float ominy,omaxy,ominx,omaxx;
float mx,my,mx2,my2;
float binw;
char key;
char grDev[128]="/xs";
int interactive=1;
int noc1=0;
int zapChannels[4096];
int nzap=0;
int overlay=-1;
float overlayVal[MAX_OVERLAY];
char overlayStr[MAX_OVERLAY][128];
char overlayFile[128];
int noverlay=0;
fitsfile *fp;
data = initialiseDset();
for (i=0;i<argc;i++)
{
if (strcmp(argv[i],"-f")==0)
strcpy(fname,argv[++i]);
else if (strcmp(argv[i],"-noc1")==0)
noc1=1;
else if (strcmp(argv[i],"-g")==0)
{
strcpy(grDev,argv[++i]);
interactive=0;
}
else if (strcmp(argv[i],"-h")==0)
help();
else if (strcmp(argv[i],"-overlay")==0)
{
strcpy(overlayFile,argv[++i]);
overlay=1;
}
}
if (overlay==1)
{
FILE *fin;
char line[1024];
noverlay=0;
if (!(fin = fopen(overlayFile,"r")))
printf("Unable to open overlay file >%s<\n",overlayFile);
else
{
while (!feof(fin))
{
fgets(overlayStr[noverlay],1024,fin);
if (fscanf(fin,"%f",&overlayVal[noverlay])==1)
{
if (overlayStr[noverlay][strlen(overlayStr[noverlay])-1] == '\n')
overlayStr[noverlay][strlen(overlayStr[noverlay])-1]='\0';
noverlay++;
}
}
fclose(fin);
}
}
fp = openFitsFile(fname);
loadPrimaryHeader(fp,data);
displayHeaderInfo(data);
readBandpass(fp,bpass);
nchan = data->phead.nchan;
freq = data->phead.freq;
bw = data->phead.bw;
chanbw = data->phead.chanbw;
for (i=0;i<nchan;i++)
{
fx[i] = freq-bw/2+(i+0.5)*chanbw;
if (i==noc1)
{
miny = maxy = bpass[i];
minx = maxx = fx[i];
}
else if (i!=0)
{
if (bpass[i] > maxy) maxy = bpass[i];
if (bpass[i] < miny) miny = bpass[i];
if (fx[i] > maxx) maxx = fx[i];
if (fx[i] < minx) minx = fx[i];
}
}
ominx = minx;
omaxx = maxx;
ominy = miny;
omaxy = maxy;
binw = fx[1]-fx[0];
printf("Complete\n");
cpgbeg(0,grDev,1,1);
cpgask(0);
do {
cpgenv(minx,maxx,miny,maxy,0,1);
cpglab("Frequency (MHz)","Amplitude (arbitrary)",fname);
cpgbin(nchan-noc1,fx+noc1,bpass+noc1,0);
if (overlay==1)
{
float tx[2],ty[2];
cpgsls(4); cpgsci(2); cpgsch(0.8);
for (i=0;i<noverlay;i++)
{
tx[0] = tx[1] = overlayVal[i];
ty[0] = miny;
ty[1] = maxy;
if (tx[1] > minx && tx[1] < maxx)
{
cpgline(2,tx,ty);
// cpgtext(tx[1],ty[1]-0.05*(maxy-miny),overlayStr[i]);
cpgptxt(tx[1]-0.004*(maxx-minx),ty[0]+0.05*(maxy-miny),90,0.0,overlayStr[i]);
}
}
cpgsci(1); cpgsls(1); cpgsch(1);
}
if (interactive==1)
{
cpgcurs(&mx,&my,&key);
if (key=='A')
{
int cc=-1;
int i;
for (i=0;i<nchan-1;i++)
{
// if ((bw > 0 && (mx > fx[i]-binw/2 && mx < fx[i]+binw/2)) ||
// (bw < 0 && (mx > fx[i]+binw/2 && mx < fx[i]-binw/2)))
if ((bw > 0 && (mx > fx[i] && mx < fx[i]+binw)) ||
(bw < 0 && (mx > fx[i] && mx < fx[i]+binw)))
{
cc = i;
break;
}
}
printf("mouse x = %g MHz, mouse y = %g, channel = %d, channel frequency = %g MHz\n",mx,my,cc,fx[cc]);
}
else if (key=='X')
{
int cc=-1;
int i;
printf("Deleting %g %g %g\n",mx,fx[10],binw);
for (i=0;i<nchan-1;i++)
{
// if ((bw > 0 && (mx > fx[i]-binw/2 && mx < fx[i]+binw/2)) ||
// (bw < 0 && (mx > fx[i]+binw/2 && mx < fx[i]-binw/2)))
if ((bw > 0 && (mx > fx[i] && mx < fx[i]+binw)) ||
(bw < 0 && (mx > fx[i] && mx < fx[i]+binw)))
{
cc = i;
break;
}
}
printf("Want to delete = %d\n",cc);
if (cc != -1)
{
bpass[cc] = 0;
omaxy = bpass[noc1];
zapChannels[nzap++] = cc;
for (i=noc1;i<nchan;i++)
{
if (omaxy < bpass[i]) omaxy = bpass[i];
}
}
}
else if (key=='z')
{
cpgband(2,0,mx,my,&mx2,&my2,&key);
if (mx > mx2) {maxx = mx; minx = mx2;}
else {maxx = mx2; minx = mx;}
if (my > my2) {maxy = my; miny = my2;}
else {maxy = my2; miny = my;}
}
else if (key=='u')
{
minx = ominx;
maxx = omaxx;
miny = ominy;
maxy = omaxy;
}
else if (key=='l') // List the channels and frequencies to zap
{
int i;
sortInt(zapChannels,nzap);
printf("-------------------------------------------------------\n");
printf("Zap channels with first channel = 0\n\n");
for (i=0;i<nzap;i++)
printf("%d ",zapChannels[i]);
printf("\n\n");
printf("Zap channels with first channel = 1\n\n");
for (i=0;i<nzap;i++)
printf("%d ",zapChannels[i]+1);
printf("\n\n");
printf("Zap channels frequencies:\n\n");
for (i=0;i<nzap;i++)
printf("%g ",fx[zapChannels[i]]);
printf("\n\n");
printf("-------------------------------------------------------\n");
}
else if (key=='%') // Enter percentage of the band edges to zap
{
float percent;
int i;
printf("Enter band edge percentage to zap ");
scanf("%f",&percent);
for (i=0;i<nchan;i++)
{
if (i < nchan*percent/100.0 || i > nchan-(nchan*percent/100.0))
{
bpass[i] = 0;
zapChannels[nzap++] = i;
}
}
omaxy = bpass[noc1];
for (i=noc1;i<nchan;i++)
{
if (omaxy < bpass[i]) omaxy = bpass[i];
}
// Unzoom
minx = ominx;
maxx = omaxx;
miny = ominy;
maxy = omaxy;
}
}
} while (key != 'q' && interactive==1);
cpgend();
}
int main()
{
//
printf("\n====================================================================\n");
printf("This program is able to simulate a variety of ecological\n");
printf("situations in a 2D lattice\n");
printf("====================================================================\n");
//==========================================================================
//--------------------------SYSTEM INITIALIZATIONS--------------------------
//==========================================================================
// initialize random seed
srand(time(NULL));
// force print all outputs (remove stdout buffer)
setbuf(stdout, NULL);
// initialize pgplot window
if (!cpgopen("/XWINDOW"))
errorCase(ERR_PGPLOT);
cpgpap(20.0, 0.33); // set window size
cpgsubp(3,1); // subdivide window into panels
// color indexes (R, G, B)
cpgscr(0, 0.0, 0.0, 0.0); // empty space, black
cpgscr(1, 1.0, 1.0, 1.0);
cpgscr(10, 0.0, 0.0, 0.0); // empty space, black
cpgscr(11, 0.5, 0.5, 0.5); // Trophic 1, gray
cpgscr(12, 0.5, 1.0, 1.0); // Trophic 2, cyan
cpgscr(13, 1.0, 0.5, 0.0); // Trophic 3, orange
cpgscr(14, 1.0, 0.0, 0.0);
cpgscir(10,NUMB_TROPHIC+10);
//==========================================================================
//--------------------------VARIABLE INITIALIZATIONS------------------------
//==========================================================================
// generic variables
int i, j, k; // counters
// simulation environment
int** simEnv = allocateArray2DInt(ENV_SIZE_X, ENV_SIZE_Y);
int** simEnvAge = allocateArray2DInt(ENV_SIZE_X, ENV_SIZE_Y);
int* simLocal = allocateArray1DInt(5);
// inputs
char input;
// current location and time
int x,y;
int tGlobal,t;
int flagUpdate;
// rates
float predationRates[NUMB_TROPHIC-1] = RATE_PRED;
float deathRates[NUMB_TROPHIC] = RATE_DEATH;
//float aBirth = 0; // A+0 -> A+A
// float abPred = 0; // B+A -> B+B
// float bDeath = 0; // B -> 0
// int aFlag; int abFlag; int bFlag;
// population counts;
int popCount[NUMB_TROPHIC];
float popDens[NUMB_TROPHIC];
float popDensOld[NUMB_TROPHIC];
for (i=0; i<NUMB_TROPHIC; i++){
popCount[i] = 0;
popDens[i] = 0.0;
popDensOld[i] = 1.0/(float)INIT_DENSITY;
}
float* ageStructure = allocateArray1D(ENV_SIZE_TOTAL);
// pgplot variables
float* plotImg = allocateArray1D(ENV_SIZE_TOTAL);
//float TR[6] = {0, 1, 0, 0, 0, 1};
float TR[6] = {0, 0, 1, ENV_SIZE_Y, -1, 0};
float plotMinBound = 0.0;
float plotMaxBound = (float)NUMB_TROPHIC;
//==========================================================================
//--------------------------ACTUAL CODE-------------------------------------
//==========================================================================
// environment initialization
randomizeArray2DInt(simEnv, ENV_SIZE_X, ENV_SIZE_Y, NUMB_TROPHIC);
// load initial display
for (i=0; i<ENV_SIZE_X; i++)
for (j=0; j<ENV_SIZE_Y; j++)
plotImg[i*ENV_SIZE_Y+j] = (float)(simEnv[i][j]);
cpgpanl(1,1);
cpgswin(0, ENV_SIZE_X-1, 0, ENV_SIZE_Y-1);
cpgsvp(0.01, 0.99, 0.01, 0.99);
cpgimag(plotImg, ENV_SIZE_Y, ENV_SIZE_X, 1, ENV_SIZE_Y, 1, ENV_SIZE_X, plotMinBound, plotMaxBound, TR);
// Load graph labels
// Population Density vs Time Plot
cpgpanl(2,1);
cpgsvp(0.08, 0.92, 0.08, 0.92);
cpgswin(0, ENV_SIZE_X, 0, 1);
cpgbox("ABCINTS", 0.0, 0, "ABCINTS", 0.0, 0);
cpglab("Time", "Population Density", "");
// Phase Portrait Plot
cpgpanl(3,1);
cpgsvp(0.08, 0.92, 0.08, 0.92);
cpgswin(0, 1, 0, 1);
cpgbox("ABCINTS", 0.0, 0, "ABCINTS", 0.0, 0);
cpglab("", "", "Phase Portrait");
cpgsci(11);
cpglab("Population Density SpA", "", "");
cpgsci(12);
cpglab("", "Population Density SpB", "");
// initial delay to visualize starting matrix
for (t=0; t<500000000; t++){}
tGlobal = 1;
while(1){
//aFlag = 0; abFlag = 0; bFlag = 0;
// run simulation for a full Monte Carlo timestep (ENV_SIZE_X*ENV_SIZE_Y)
for (t=0; t<ENV_SIZE_TOTAL; t++){
ecoRun(simEnv, simEnvAge, simLocal, predationRates, deathRates);
}
incrementAge(simEnvAge);
// plot stuffs
if ((tGlobal%1) == 0){
// calculate population densities
updatePopDens(simEnv, popCount, popDens);
// PLOT population densities
cpgpanl(2,1);
cpgsvp(0.08, 0.92, 0.08, 0.92);
cpgswin(0, ENV_SIZE_X, 0, 1);
for (i=0; i<NUMB_TROPHIC; i++){
cpgsls(1); cpgsci(i+11); // line style and color
cpgmove((tGlobal-1), popDensOld[i]);
cpgdraw(tGlobal, popDens[i]);
}
//printArray2DInt(simEnvAge, ENV_SIZE_X, ENV_SIZE_Y);
// PLOT age structure
/*updateAgeStructure(simEnv, simEnvAge, ageStructure, 1);
cpgpanl(3,1);
cpgsvp(0.08, 0.92, 0.08, 0.92);
cpgswin(0, 10, 0, (ENV_SIZE_TOTAL/10));
cpgsls(1); cpgsci(1); // line style and color
cpgeras();
cpgbox("ABCINTS", 0.0, 0, "ABCINTS", 0.0, 0);
cpglab("Age", "Number of Individuals", "Age Structure");
cpghist(popCount[1], ageStructure, 0, 10, 10, 1);*/
// PLOT phase portrait
cpgpanl(3,1);
cpgsvp(0.08, 0.92, 0.08, 0.92);
cpgswin(0, 1, 0, 1);
cpgsls(1); cpgsci(1); // line style and color
cpgmove(popDensOld[0], popDensOld[1]);
cpgdraw(popDens[0], popDens[1]);
for (i=0; i<NUMB_TROPHIC; i++)
popDensOld[i] = popDens[i];
}
// load array and display on pgplot
if ((tGlobal%1) == 0){
cpgpanl(1,1);
cpgswin(0, ENV_SIZE_X, 0, ENV_SIZE_Y);
cpgsvp(0.01, 0.99, 0.01, 0.99);
for (i=0; i<ENV_SIZE_X; i++)
for (j=0; j<ENV_SIZE_Y; j++)
plotImg[i*ENV_SIZE_Y+j] = (float)(simEnv[i][j]);
cpgimag(plotImg, ENV_SIZE_Y, ENV_SIZE_X, 1, ENV_SIZE_Y, 1, ENV_SIZE_X, plotMinBound, plotMaxBound, TR);
}
tGlobal++;
//for (t=0; t<10000000; t++){}
}
}
void doPlot(pulsar *psr,int npsr,float *scale,int nScale,char *grDev,int plotUs,float fontSize,float centreMJD,int ptStyle,float ptSize,int error,float minyv,float maxyv,float minxv,float maxxv,int nOverlay,float labelsize,float fracX)
{
int i,j,fitFlag=2,exitFlag=0,scale1=0,scale2,count[MAX_PSR],p,xautoscale=0,k,graphics=1;
int yautoscale=0,plotpre=1;
int ps,pe,pi;
int time=0;
char xstr[1000],ystr[1000];
float px[2],py[2],pye1[2],pye2[2];
float x[MAX_PSR][MAX_OBSN],y[MAX_PSR][MAX_OBSN],yerr1[MAX_PSR][MAX_OBSN],yerr2[MAX_PSR][MAX_OBSN],tmax,tmin,tmaxy1,tminy1,tmaxy2,tminy2;
float sminy[MAX_PSR],smaxy[MAX_PSR];
float minx[MAX_PSR],maxx[MAX_PSR],miny[MAX_PSR],maxy[MAX_PSR],plotx1,plotx2,ploty1,ploty2,mean;
float fx[2],fy[2];
float mouseX,mouseY;
char key;
// float widthPap=0.0,aspectPap=0.618;
float widthPap=0.0,aspectPap=1;
float xx[MAX_OBSN],yy[MAX_OBSN],yyerr1[MAX_OBSN],yyerr2[MAX_OBSN];
int num=0,colour;
/* Obtain a graphical PGPLOT window */
cpgbeg(0,grDev,1,1);
// cpgpap(widthPap,aspectPap);
cpgsch(fontSize);
cpgscf(2);
cpgslw(2);
cpgask(0);
for (p=0;p<npsr;p++)
{
scale2 = psr[p].nobs;
/* sprintf(xstr,"MJD-%.1Lf",psr[0].param[param_pepoch].val[0]); */
if (centreMJD == -1)
sprintf(xstr,"Year");
else
sprintf(xstr,"MJD-%.1f",centreMJD);
sprintf(ystr,"Residual (\\gmsec)");
count[p]=0;
printf("points = %d\n",psr[p].nobs);
for (i=0;i<psr[p].nobs;i++)
{
if (psr[p].obsn[i].deleted == 0 &&
(psr[p].param[param_start].paramSet[0]!=1 || psr[p].param[param_start].fitFlag[0]!=1 ||
psr[p].param[param_start].val[0] < psr[p].obsn[i].bat) &&
(psr[p].param[param_finish].paramSet[0]!=1 || psr[p].param[param_finish].fitFlag[0]!=1 ||
psr[p].param[param_finish].val[0] > psr[p].obsn[i].bat))
{
/* x[p][count[p]] = (double)(psr[p].obsn[i].bat-psr[0].param[param_pepoch].val[0]); */
if (centreMJD == -1)
x[p][count[p]] = calcYr(psr[p].obsn[i].bat);
else
x[p][count[p]] = (double)(psr[p].obsn[i].bat-centreMJD);
y[p][count[p]] = (double)psr[p].obsn[i].residual*1.0e6;
if (nScale>0)
y[p][count[p]] *= scale[p];
count[p]++;
}
}
/* Remove mean from the residuals and calculate error bars */
mean = findMean(y[p],psr,p,scale1,count[p]);
count[p]=0;
for (i=0;i<psr[p].nobs;i++)
{
if (psr[p].obsn[i].deleted==0 &&
(psr[p].param[param_start].paramSet[0]!=1 || psr[p].param[param_start].fitFlag[0]!=1 ||
psr[p].param[param_start].val[0] < psr[p].obsn[i].bat) &&
(psr[p].param[param_finish].paramSet[0]!=1 || psr[p].param[param_finish].fitFlag[0]!=1 ||
psr[p].param[param_finish].val[0] > psr[p].obsn[i].bat))
{
psr[p].obsn[i].residual-=mean/1.0e6;
y[p][count[p]]-=mean;
yerr1[p][count[p]] = y[p][count[p]]-(float)psr[p].obsn[i].toaErr;
yerr2[p][count[p]] = y[p][count[p]]+(float)psr[p].obsn[i].toaErr;
count[p]++;
}
}
/* Get scaling for graph */
if (minxv == maxxv) {
minx[p] = findMin(x[p],psr,p,scale1,count[p]);
maxx[p] = findMax(x[p],psr,p,scale1,count[p]);
}
else {
minx[p] = minxv;
maxx[p] = maxxv;
}
if (minyv == maxyv){
miny[p] = findMin(y[p],psr,p,scale1,count[p]);
maxy[p] = findMax(y[p],psr,p,scale1,count[p]);
}
else {
miny[p] = minyv;
maxy[p] = maxyv;
}
sminy[p] = miny[p]/1e6;
smaxy[p] = maxy[p]/1e6;
}
for (p=0;p<npsr;p++)
{
for (i=0;i<count[p];i++)
{
y[p][i] = (y[p][i]-miny[p])/(maxy[p]-miny[p]);
yerr1[p][i] = (yerr1[p][i]-miny[p])/(maxy[p]-miny[p]);
yerr2[p][i] = (yerr2[p][i]-miny[p])/(maxy[p]-miny[p]);
}
// maxy[p] = 1.0;
// miny[p] = 0.0;
}
tmin = findMinVal(minx,npsr);
tmax = findMaxVal(maxx,npsr);
tminy2 = 0.0; //findMinVal(miny,npsr);
tmaxy2 = 1.0; //findMaxVal(maxy,npsr);
plotx1 = tmin-(tmax-tmin)*0.1;
plotx2 = tmax+(tmax-tmin)*0.1;
// ploty1 = tminy2-(tmaxy2-tminy2)*0.1;
// ploty2 = tmaxy2+(tmaxy2-tminy2)*0.1;
ploty1 = 0.1;
ploty2 = 0.9;
for (p=0;p<npsr;p++)
{
for (i=0;i<count[p];i++)
{
y[p][i]=(p)+ploty1+y[p][i]*(ploty2-ploty1);
yerr1[p][i]=(p)+ploty1+yerr1[p][i]*(ploty2-ploty1);
yerr2[p][i]=(p)+ploty1+yerr2[p][i]*(ploty2-ploty1);
}
}
printf("ytick = %g\n",ploty2-ploty1);
/* cpgenv(plotx1,plotx2,ploty1,ploty2+(ploty2-ploty1)*(npsr-1),0,0); */
// cpgenv(plotx1,plotx2,0,npsr+1,0,-1);
if (labelsize!=-1)
cpgsch(labelsize);
cpgsvp(fracX,1.0,0.1,1.0);
cpgswin(0,1,0,npsr);
cpgbox("ABC",0.0,0,"C",0.0,0);
cpgsch(fontSize);
char str[1000];
for (p=0;p<npsr;p++)
{
cpgsch(fontSize);
// cpgtext(tmax+(tmax-tmin)*0.05,p+1.5-0.5,psr[p].name);
cpgtext(0,p+0.6,psr[p].name);
// cpgsch(fontSize);
if (plotUs==0)
{
sprintf(str,"%.2f",(double)((smaxy[p]-sminy[p])*psr[p].param[param_f].val[0]));
cpgtext(0,p+0.4,str);
// cpgtext(tmax+(tmax-tmin)*0.05,p+1.1-0.5,str);
}
else
{
sprintf(str,"%.2f\\gms",(double)((smaxy[p]-sminy[p])/1e-6));
// cpgtext(tmax+(tmax-tmin)*0.05,p+1.1-0.5,str);
cpgtext(0,p+0.1,str);
}
cpgsch(1);
px[0] = 0;
// px[1] = tmax; //+(tmax-tmin)*0.03;
px[1] = 1;
py[0] = p;
py[1] = p;
cpgline(2,px,py);
}
if (labelsize!=-1)
cpgsch(labelsize);
cpgsvp(0.1,fracX,0.1,1.0);
cpgswin(plotx1,plotx2,0,npsr);
cpgbox("ATNSBC",0.0,0,"B",0.0,0);
cpglab(xstr,"","");
cpgsch(fontSize);
for (p=0;p<npsr;p++)
{
cpgsls(1);
px[0] = plotx1;
// px[1] = tmax; //+(tmax-tmin)*0.03;
px[1] = plotx2;
py[0] = p;
py[1] = p;
cpgline(2,px,py);
cpgsls(4);
px[0] = tmin;
px[1] = tmax+(tmax-tmin)*0.03;
py[0]=py[1] =(p)+ploty1+(-miny[p]/(maxy[p]-miny[p]))*(ploty2-ploty1);
// py[0]=py[1] = (p)+ploty1;
// py[0] = py[1] = (0-miny[p])/(maxy[p]-miny[p])/(ploty2-ploty1)+p;
cpgline(2,px,py);
px[0] = plotx1+0.005*(plotx2-plotx1);
py[0] = p;
pye1[0] = p + 5/(ploty2-ploty1);
pye2[0] = p - 5/(ploty2-ploty1);
cpgsls(1);
cpgsch(3);
// cpgerry(1,px,pye1,pye2,1);
cpgsch(1);
for (colour=0;colour<5;colour++)
{
num=0;
for (i=0;i<count[p];i++)
{
if ((colour==0 && psr[p].obsn[i].freq<=500) ||
(colour==1 && psr[p].obsn[i].freq>500 && psr[p].obsn[i].freq<=1000) ||
(colour==2 && psr[p].obsn[i].freq>1000 && psr[p].obsn[i].freq<=1500) ||
(colour==3 && psr[p].obsn[i].freq>1500 && psr[p].obsn[i].freq<=3300) ||
(colour==4 && psr[p].obsn[i].freq>3300))
{
xx[num]=x[p][i];
yy[num]=y[p][i];
yyerr1[num]=yerr1[p][i];
yyerr2[num]=yerr2[p][i];
// printf("plotting: %g\n",yy[num]);
num++;
}
}
cpgsci(colour+1);
cpgsch(ptSize);
cpgpt(num,xx,yy,ptStyle);
if (error==1)
cpgerry(num,xx,yyerr1,yyerr2,1);
cpgsch(fontSize);
// Plot arrow giving one period
fx[0] = fx[1] = tmin-(tmax-tmin)*0.05;
// fy[0] = (p+1)+0.5-(float)(1.0/psr[p].param[param_f].val[0])/2.0/(ploty2-ploty1);
// fy[1] = (p+1)+0.5+(float)(1.0/psr[p].param[param_f].val[0])/2.0/(ploty2-ploty1);
// fy[0] = (-(float)(1.0/psr[p].param[param_f].val[0])/2.0/1.0e6 - miny[p])/(maxy[p]-miny[p])/(ploty2-ploty1) + (p+1)+0.5;
// fy[1] = ((float)(1.0/psr[p].param[param_f].val[0])/2.0/1.0e6 - miny[p])/(maxy[p]-miny[p])/(ploty2-ploty1) + (p+1)+0.5;
fy[0] = (p+1)+0.5+(float)(1.0/psr[p].param[param_f].val[0])/2.0/(maxy[p]-miny[p])*1e6;
fy[1] = (p+1)+0.5-(float)(1.0/psr[p].param[param_f].val[0])/2.0/(maxy[p]-miny[p])*1e6;
if (fy[0] > (p+1)+1) fy[0] = (p+1)+1;
if (fy[1] < (p+1)) fy[1] = (p+1);
// cpgsls(1); cpgline(2,fx,fy); cpgsls(1);
}
cpgsci(1);
}
cpgend();
}
/* write labels for x-axis, y-axis, and top of plot */
static void _pglab (char *a, char *b, char *c)
{
cpglab (a, b, c);
}
int plot_map()
{
int nx=720;
int ny=180;
int deli, delj;
float value;
int counter;
float mapplot[720][180];
int i=0, j=0, k=0;
float tr[6]= {0.0, 0.5, 0.0, 0.0, 0.0, 0.5};
float fmin=1, fmax=0;
// float RL[9]={-0.5, 0.004, 0.006, 0.008, 0.02, 0.04, 0.06, 0.08, 0.1};
float RL[9]={-0.5, 0.0, 0.04, 0.08, 0.2, 0.4, 0.6, 0.8, 1.0};
float RR[9]={0.0, 0.0, 0.0, 0.0, 0.6, 1.0, 1.0, 1.0, 1.0};
float RG[9]={0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 0.6, 1.1, 1.0};
float RB[9]={0.0, 0.3, 0.8, 1.0, 0.3, 0.0, 0.0, 0.0, 1.0};
float bright=0.5; //0.53
float contra=1.0; //1.0
//map larger array into smaller array
for (j=1; j<ny; j++)
{
for (i=1; i<nx; i++)
{
value=0;
counter=0;
for (deli=0; deli<=5; deli++)
{
for (delj=0; delj<=5; delj++)
{
value=value+mapx[sat_choice][(5*i)+deli][(5*j)+delj];
if (mapx[sat_choice][(5*i)+deli][(5*j)+delj]>0)
{
counter++;
// printf("%i %f\n", counter, value/counter);
}
}
}
if (counter==0) mapplot[i][j]=value;
else mapplot[i][j]=value/counter;
}
}
for (j=1; j<ny; j++)
{
for (i=1; i<nx; i++)
{
k=(j-1)*nx + (i-1);
f[k]=mapplot[i][j];
if (f[k] <fmin) fmin = f[k];
if (f[k] >fmax) fmax = f[k];
}
}
printf("min=%f max=%f\n", fmin, fmax);
fmax=0.1;
cpgslct(pg_id);
cpgeras();
cpgenv(0.0, 360, 0.0, 90, 1.0, -2);
cpglab("Azimuth", "Elevation", "Antenna Power Pattern [Data: May 7-22, 2006]");
cpgctab(RL, RR, RG, RB, 9, contra, bright);
cpgimag(f, (float)nx, (float)ny, 1.0, (float)nx, 1.0, (float)ny, fmin, fmax, tr);
cpgbox("BCNST1",0.0,0,"BCNST1",0.0,0);
return 0;
}
void doPlot(pulsar *psr,int npsr,int overlay)
{
int i,j,fitFlag=1,exitFlag=0,scale1=0,scale2,count,p,xautoscale=1,k,graphics=1;
int yautoscale=1,plotpre=1;
int time=0;
char xstr[1000],ystr[1000];
float x[MAX_OBSN],y[MAX_OBSN],yerr1[MAX_OBSN],yerr2[MAX_OBSN],tmax,tmin,tmaxy1,tminy1,tmaxy2,tminy2;
float minx,maxx,miny,maxy,plotx1,plotx2,ploty1,ploty2,mean;
float mouseX,mouseY;
float fontSize=1.8;
char key;
float widthPap=0.0,aspectPap=0.618;
/* Obtain a graphical PGPLOT window */
if (overlay==1)
cpgbeg(0,"?",2,1);
else
cpgbeg(0,"?",2,npsr);
cpgpap(widthPap,aspectPap);
cpgsch(fontSize);
cpgask(0);
do {
for (p=0;p<npsr;p++)
{
scale2 = psr[p].nobs;
for (j=0;j<2;j++)
{
if (j==0) fitFlag=1;
else if (j==1) fitFlag=2;
ld_sprintf(xstr,"MJD-%.1Lf",psr[0].param[param_pepoch].val[0]);
sprintf(ystr,"Residual (\\gmsec)");
count=0;
for (i=0;i<psr[p].nobs;i++)
{
if (psr[p].obsn[i].deleted == 0 &&
(psr[p].param[param_start].paramSet[0]!=1 || psr[p].param[param_start].fitFlag[0]!=1 ||
psr[p].param[param_start].val[0] < psr[p].obsn[i].bat) &&
(psr[p].param[param_finish].paramSet[0]!=1 || psr[p].param[param_finish].fitFlag[0]!=1 ||
psr[p].param[param_finish].val[0] > psr[p].obsn[i].bat))
{
if (xautoscale==1)
x[count] = (double)(psr[p].obsn[i].bat-psr[p].param[param_pepoch].val[0]);
else
x[count] = (double)(psr[p].obsn[i].bat-psr[0].param[param_pepoch].val[0]);
if (fitFlag==1) /* Get pre-fit residual */
y[count] = (double)psr[p].obsn[i].prefitResidual*1.0e6;
else if (fitFlag==2) /* Post-fit residual */
y[count] = (double)psr[p].obsn[i].residual*1.0e6;
count++;
}
}
/* Remove mean from the residuals and calculate error bars */
mean = findMean(y,psr,p,scale1,count);
count=0;
for (i=0;i<psr[p].nobs;i++)
{
if (psr[p].obsn[i].deleted==0 &&
(psr[p].param[param_start].paramSet[0]!=1 || psr[p].param[param_start].fitFlag[0]!=1 ||
psr[p].param[param_start].val[0] < psr[p].obsn[i].bat) &&
(psr[p].param[param_finish].paramSet[0]!=1 || psr[p].param[param_finish].fitFlag[0]!=1 ||
psr[p].param[param_finish].val[0] > psr[p].obsn[i].bat))
{
psr[p].obsn[i].residual-=mean/1.0e6;
y[count]-=mean;
yerr1[count] = y[count]-(float)psr[p].obsn[i].toaErr;
yerr2[count] = y[count]+(float)psr[p].obsn[i].toaErr;
count++;
}
}
/* Get scaling for graph */
minx = findMin(x,psr,p,scale1,count);
maxx = findMax(x,psr,p,scale1,count);
if (xautoscale==1)
{
plotx1 = minx-(maxx-minx)*0.1;
plotx2 = maxx+(maxx-minx)*0.1;
}
else
{
plotx1 = tmin-(tmax-tmin)*0.1;
plotx2 = tmax+(tmax-tmin)*0.1;
}
miny = findMin(y,psr,p,scale1,count);
maxy = findMax(y,psr,p,scale1,count);
if (yautoscale==1)
{
ploty1 = miny-(maxy-miny)*0.1;
ploty2 = maxy+(maxy-miny)*0.1;
}
else
{
if (j==0)
{
ploty1 = tminy1-(tmaxy1-tminy1)*0.1;
ploty2 = tmaxy1+(tmaxy1-tminy1)*0.1;
}
else
{
ploty1 = tminy2-(tmaxy2-tminy2)*0.1;
ploty2 = tmaxy2+(tmaxy2-tminy2)*0.1;
}
}
/* Plot the residuals */
if (plotpre==1 || j!=0)
{
float xx[MAX_OBSN],yy[MAX_OBSN],yyerr1[MAX_OBSN],yyerr2[MAX_OBSN];
int num=0,colour;
if (overlay==0 || (overlay==1 && p==0))
{
cpgenv(plotx1,plotx2,ploty1,ploty2,0,0);
cpglab(xstr,ystr,psr[p].name);
}
for (colour=0;colour<5;colour++)
{
num=0;
for (i=0;i<count;i++)
{
if ((colour==0 && psr[p].obsn[i].freq<=500) ||
(colour==1 && psr[p].obsn[i].freq>500 && psr[p].obsn[i].freq<=1000) ||
(colour==2 && psr[p].obsn[i].freq>1000 && psr[p].obsn[i].freq<=1500) ||
(colour==3 && psr[p].obsn[i].freq>1500 && psr[p].obsn[i].freq<=3300) ||
(colour==4 && psr[p].obsn[i].freq>3300))
{
xx[num]=x[i];
yy[num]=y[i];
yyerr1[num]=yerr1[i];
yyerr2[num]=yerr2[i];
num++;
}
}
cpgsci(colour+1);
if (overlay==1)
cpgsci(p+1);
cpgpt(num,xx,yy,16);
cpgerry(num,xx,yyerr1,yyerr2,1);
}
cpgsci(1);
}
}
}
printf("------------------------------\n");
printf("`a' set aspect ratio\n");
printf("`f' set font size\n");
printf("`g' set graphics device\n");
printf("`q' quit\n");
printf("`x' toggle autoscale x axis\n");
printf("`y' toggle autoscale y axis\n");
printf("`p' toggle prefit plotting\n");
printf("`r' output residuals to file\n");
if (graphics==1)
{
cpgcurs(&mouseX,&mouseY,&key);
/* Check key press */
if (key=='q') exitFlag=1;
if (key=='p') {
plotpre*=-1;
if (plotpre==-1)
{
cpgend();
if (overlay==1)
cpgbeg(0,"/xs",1,1);
else
cpgbeg(0,"/xs",1,npsr);
cpgpap(widthPap,aspectPap);
cpgsch(fontSize);
cpgask(0);
}
else
{
cpgend();
if (overlay==1)
cpgbeg(0,"/xs",2,1);
else
cpgbeg(0,"/xs",2,npsr);
cpgpap(widthPap,aspectPap);
cpgsch(fontSize);
cpgask(0);
}
}
else if (key=='a') /* Change aspect ratio */
{
printf("Please enter a new aspect ratio ");
scanf("%f",&aspectPap);
cpgend();
cpgbeg(0,"/xs",2,npsr);
cpgpap(widthPap,aspectPap);
cpgsch(fontSize);
cpgask(0);
}
else if (key=='f') /* Change font size */
{
printf("Please enter a new font size ");
scanf("%f",&fontSize);
cpgend();
cpgbeg(0,"/xs",2,npsr);
cpgpap(widthPap,aspectPap);
cpgsch(fontSize);
cpgask(0);
}
else if (key=='g')
{
graphics=0;
cpgend();
if (plotpre==-1)
{
cpgend();
if (overlay==1)
cpgbeg(0,"?",1,1);
else
cpgbeg(0,"?",1,npsr);
cpgpap(widthPap,aspectPap);
cpgsch(fontSize);
cpgask(0);
}
else
{
cpgend();
if (overlay==1)
cpgbeg(0,"?",1,1);
else
cpgbeg(0,"?",2,npsr);
cpgpap(widthPap,aspectPap);
cpgsch(fontSize);
cpgask(0);
}
}
else if (key=='r') /* Output residuals to file */
{
FILE *fout;
char fname[1000];
int ii,jj;
for (ii=0;ii<npsr;ii++)
{
sprintf(fname,"%s.res",psr[ii].name);
fout = fopen(fname,"w");
/* Print header */
fprintf(fout,"#PSR %s\n",psr[ii].name);
ld_fprintf(fout,"#F0 %.14Lf\n",psr[ii].param[param_f].val[0]);
fprintf(fout,"#RAJ %s\n",psr[ii].rajStrPre);
fprintf(fout,"#DECJ %s\n",psr[ii].decjStrPre);
for (jj=0;jj<psr[ii].nobs;jj++)
fprintf(fout,"%.5lf %.5lg %.5lg\n",
(double)(psr[ii].obsn[jj].bat-psr[0].param[param_pepoch].val[0]),
(double)(psr[ii].obsn[jj].residual),(double)(psr[ii].obsn[jj].toaErr)/1.0e6);
fclose(fout);
}
}
else if (key=='x')
{
xautoscale*=-1;
if (xautoscale==-1)
{
for (k=0;k<npsr;k++)
{
count=0;
for (i=0;i<psr[k].nobs;i++)
{
if (psr[k].obsn[i].deleted==0 &&
(psr[k].param[param_start].paramSet[0]!=1 || psr[k].param[param_start].fitFlag[0]!=1 ||
psr[k].param[param_start].val[0] < psr[k].obsn[i].bat) &&
(psr[k].param[param_finish].paramSet[0]!=1 || psr[k].param[param_finish].fitFlag[0]!=1 ||
psr[k].param[param_finish].val[0] > psr[k].obsn[i].bat))
{x[count] = (double)(psr[k].obsn[i].bat-psr[0].param[param_pepoch].val[0]); count++;}
}
minx = findMin(x,psr,k,scale1,count);
maxx = findMax(x,psr,k,scale1,count);
if (k==0)
{
tmin = minx;
tmax = maxx;
printf("Have1 tmin = %f, tmax = %f\n",tmin,tmax);
}
else
{
if (tmin > minx) tmin = minx;
if (tmax < maxx) tmax = maxx;
printf("Have2 tmin = %f, tmax = %f\n",tmin,tmax);
}
}
}
}
else if (key=='y')
{
yautoscale*=-1;
if (yautoscale==-1)
{
for (k=0;k<npsr;k++)
{
count=0;
for (i=0;i<psr[k].nobs;i++)
{
if (psr[k].obsn[i].deleted==0 &&
(psr[k].param[param_start].paramSet[0]!=1 || psr[k].param[param_start].fitFlag[0]!=1 ||
psr[k].param[param_start].val[0] < psr[k].obsn[i].bat) &&
(psr[k].param[param_finish].paramSet[0]!=1 || psr[k].param[param_finish].fitFlag[0]!=1 ||
psr[k].param[param_finish].val[0] > psr[k].obsn[i].bat))
{y[count] = (double)psr[k].obsn[i].prefitResidual*1e6; count++;}
}
miny = findMin(y,psr,k,scale1,count);
maxy = findMax(y,psr,k,scale1,count);
if (k==0)
{
tminy1 = miny;
tmaxy1 = maxy;
}
else
{
if (tminy1 > miny) tminy1 = miny;
if (tmaxy1 < maxy) tmaxy1 = maxy;
}
count=0;
for (i=0;i<psr[k].nobs;i++)
{
if (psr[k].obsn[i].deleted==0 &&
(psr[k].param[param_start].paramSet[0]!=1 || psr[k].param[param_start].fitFlag[0]!=1 ||
psr[k].param[param_start].val[0] < psr[k].obsn[i].bat) &&
(psr[k].param[param_finish].paramSet[0]!=1 || psr[k].param[param_finish].fitFlag[0]!=1 ||
psr[k].param[param_finish].val[0] > psr[k].obsn[i].bat))
{y[count] = (double)psr[k].obsn[i].residual*1e6; count++;}
}
miny = findMin(y,psr,k,scale1,count);
maxy = findMax(y,psr,k,scale1,count);
if (k==0)
{
tminy2 = miny;
tmaxy2 = maxy;
}
else
{
if (tminy2 > miny) tminy2 = miny;
if (tmaxy2 < maxy) tmaxy2 = maxy;
}
}
printf("Have tminy2 = %g %g\n",tminy2,tmaxy2);
}
}
else printf("Unknown key press %c\n",key);
}
else
{
graphics=1;
cpgend();
if (plotpre==-1)
{
cpgend();
if (overlay==1)
cpgbeg(0,"/xs",1,1);
else
cpgbeg(0,"/xs",1,npsr);
cpgpap(widthPap,aspectPap);
cpgsch(fontSize);
cpgask(0);
}
else
{
cpgend();
if (overlay==1)
cpgbeg(0,"/xs",2,1);
else
cpgbeg(0,"/xs",2,npsr);
cpgpap(widthPap,aspectPap);
cpgsch(fontSize);
cpgask(0);
}
}
} while (exitFlag==0);
cpgend();
}
int closure (
const char ctypeS[9],
double restfrq,
double restwav,
int naxisj,
double crpixj,
double cdeltX,
double crvalX)
{
char ptype, sname[32], title[80], units[8], xtype, ylab[80];
int nFail = 0, restreq, stat1[NSPEC], stat2[NSPEC], status;
register int j;
float tmp, x[NSPEC], xmin, xmax, y[NSPEC], ymax, ymin;
double cdeltS, clos[NSPEC], crvalS, dSdX, resid, residmax, spec1[NSPEC],
spec2[NSPEC];
struct spcprm spc;
/* Get keyvalues for the required spectral axis type. */
if ((status = spcxps(ctypeS, crvalX, restfrq, restwav, &ptype, &xtype,
&restreq, &crvalS, &dSdX))) {
printf("ERROR %d from spcxps() for %s.\n", status, ctypeS);
return 1;
}
cdeltS = cdeltX * dSdX;
spcini(&spc);
if (ctypeS[5] == 'G') {
/* KPNO MARS spectrograph grism parameters. */
spc.pv[0] = mars[0];
spc.pv[1] = mars[1];
spc.pv[2] = mars[2];
spc.pv[3] = mars[3];
spc.pv[4] = mars[4];
spc.pv[5] = mars[5];
spc.pv[6] = mars[6];
}
/* Construct the axis. */
for (j = 0; j < naxisj; j++) {
spec1[j] = (j+1 - crpixj)*cdeltS;
}
printf("%4s (CRVALk+w) range: %13.6e to %13.6e, step: %13.6e\n", ctypeS,
crvalS+spec1[0], crvalS+spec1[naxisj-1], cdeltS);
/* Initialize. */
spc.flag = 0;
spc.crval = crvalS;
spc.restfrq = restfrq;
spc.restwav = restwav;
strncpy(spc.type, ctypeS, 4);
spc.type[4] = '\0';
strcpy(spc.code, ctypeS+5);
/* Convert the first to the second. */
if ((status = spcx2s(&spc, naxisj, 1, 1, spec1, spec2, stat1))) {
printf("spcx2s ERROR %d: %s.\n", status, spc_errmsg[status]);
}
/* Convert the second back to the first. */
if ((status = spcs2x(&spc, naxisj, 1, 1, spec2, clos, stat2))) {
printf("spcs2x ERROR %d: %s.\n", status, spc_errmsg[status]);
}
residmax = 0.0;
/* Test closure. */
for (j = 0; j < naxisj; j++) {
if (stat1[j]) {
printf("%s: w =%20.12e -> %s = ???, stat = %d\n", ctypeS, spec1[j],
spc.type, stat1[j]);
continue;
}
if (stat2[j]) {
printf("%s: w =%20.12e -> %s =%20.12e -> w = ???, stat = %d\n",
ctypeS, spec1[j], spc.type, spec2[j], stat2[j]);
continue;
}
resid = fabs((clos[j] - spec1[j])/cdeltS);
if (resid > residmax) residmax = resid;
if (resid > tol) {
nFail++;
printf("%s: w =%20.12e -> %s =%20.12e ->\n w =%20.12e, "
"resid =%20.12e\n", ctypeS, spec1[j], spc.type, spec2[j],
clos[j], resid);
}
}
printf("%s: Maximum closure residual = %.1e pixel.\n", ctypeS, residmax);
/* Draw graph. */
cpgbbuf();
cpgeras();
xmin = (float)(crvalS + spec1[0]);
xmax = (float)(crvalS + spec1[naxisj-1]);
ymin = (float)(spec2[0]) - xmin;
ymax = ymin;
for (j = 0; j < naxisj; j++) {
x[j] = (float)(j+1);
y[j] = (float)(spec2[j] - (crvalS + spec1[j]));
if (y[j] > ymax) ymax = y[j];
if (y[j] < ymin) ymin = y[j];
}
j = (int)crpixj + 1;
if (y[j] < 0.0) {
tmp = ymin;
ymin = ymax;
ymax = tmp;
}
cpgask(0);
cpgenv(1.0f, (float)naxisj, ymin, ymax, 0, -1);
cpgsci(1);
cpgbox("ABNTS", 0.0f, 0, "BNTS", 0.0f, 0);
spctyp(ctypeS, 0x0, 0x0, sname, units, 0x0, 0x0, 0x0);
sprintf(ylab, "%s - correction [%s]", sname, units);
sprintf(title, "%s: CRVALk + w [%s]", ctypeS, units);
cpglab("Pixel coordinate", ylab, title);
cpgaxis("N", 0.0f, ymax, (float)naxisj, ymax, xmin, xmax, 0.0f, 0, -0.5f,
0.0f, 0.5f, -0.5f, 0.0f);
cpgaxis("N", (float)naxisj, ymin, (float)naxisj, ymax, (float)(ymin/cdeltS),
(float)(ymax/cdeltS), 0.0f, 0, 0.5f, 0.0f, 0.5f, 0.1f, 0.0f);
cpgmtxt("R", 2.2f, 0.5f, 0.5f, "Pixel offset");
cpgline(naxisj, x, y);
cpgsci(7);
cpgpt1((float)crpixj, 0.0f, 24);
cpgebuf();
printf("Type <RETURN> for next page: ");
(void)getchar();
printf("\n");
return nFail;
}
int main(){
printf("\n====================================================================\n");
printf("This program is able to simulate the diffusion of heat\n");
printf("across a metal plate of size %i x %i\n", ENV_SIZE_X, ENV_SIZE_Y);
printf("====================================================================\n");
//==========================================================================
//--------------------------SYSTEM INITIALIZATIONS--------------------------
//==========================================================================
// initialize random seed
srand(time(NULL));
// force print all outputs (remove stdout buffer)
setbuf(stdout, NULL);
// initialize pgplot window
if (!cpgopen("/XWINDOW"))
errorCase(ERR_PGPLOT);
cpgpap(0.0, 0.6); // set window size
cpgsubp(1,3); // subdivide window into panels
// heatmap
cpgpanl(1,1);
cpgsvp(0.0, 1.0, 0.0, 1.0);
cpgswin(0, ENV_SIZE_X, 0, ENV_SIZE_Y);
// flux plot
cpgpanl(1,2);
cpgsvp(0.08, 0.92, 0.08, 0.92);
cpgswin(LINE_PLOT_X1, LINE_PLOT_X2, FLUX_PLOT_Y1, FLUX_PLOT_Y2);
cpgbox("ABCINTS", 0.0, 0, "ABCINTS", 0.0, 0);
cpglab("Time", "Flux", "");
// heat plot
cpgpanl(1,3);
cpgsvp(0.08, 0.92, 0.08, 0.92);
cpgswin(LINE_PLOT_X1, LINE_PLOT_X2, LINE_PLOT_Y1, LINE_PLOT_Y2);
cpgbox("ABCINTS", 0.0, 0, "ABCINTS", 0.0, 0);
cpglab("Time", "Total Heat", "");
// initialize color table for pgplot display
float rl[9] = {-0.5, 0.0, 0.17, 0.33, 0.50, 0.67, 0.83, 1.0, 1.7};
float rr[9] = { 0.0, 0.0, 0.0, 0.0, 0.6, 1.0, 1.0, 1.0, 1.0};
float rg[9] = { 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 0.6, 0.0, 1.0};
float rb[9] = { 0.0, 0.3, 0.8, 1.0, 0.3, 0.0, 0.0, 0.0, 1.0};
cpgctab(rl, rr, rg, rb, 512, 1.0, 0.5);
cpgscr(10, 0.0, 0.0, 1.0);
cpgscr(11, 1.0, 0.0, 0.0);
cpgsfs(3);
//==========================================================================
//--------------------------VARIABLE INITIALIZATIONS------------------------
//==========================================================================
// generic variables
int i, j, k; // counters
// simulation environment
float** simEnvEven = allocateArray2D(ENV_SIZE_X, ENV_SIZE_Y);
float** simEnvOdd = allocateArray2D(ENV_SIZE_X, ENV_SIZE_Y);
float* simLocal = allocateArray1D(5);
// mnist handwritten numbers
float** mnistDatabase = readCSV("mnist_train_100.csv", 100, 785);
for (i=0; i<100; i++)
for (j=0; j<785; j++)
mnistDatabase[i][j] = mnistDatabase[i][j]/255.0;
// current location and time
int x,y,z;
int t, tGlobal;
// student number
int studentNumbRaw;
int studentNumbWorking;
int studentNumb[7];
// rates
float rateDiff = 0.2;
float delta;
// flux variables
float flux;
float fluxTotal;
float fluxAverage;
float fluxHeat;
float totalHeat;
int x1, x2, y1, y2;
// background heat
float bgHeat;
// tracking variables
float totalHeatOld;
float totalHeatPre;
float tGlobalOld;
float fluxOld;
// pgplot variables
float* plotImg = allocateArray1D(ENV_SIZE_TOTAL);
float TR[6] = {0, 0, 1, ENV_SIZE_Y, -1, 0};
float plotMinBound = 0;
float plotMaxBound = 1;
//==========================================================================
//--------------------------------SETUP-------------------------------------
//==========================================================================
// ask for student number
printf("Please enter your student number:\n");
if (scanf("%i", &studentNumbRaw) == 0)
errorCase(ERR_INVALID_INPUT);
studentNumbWorking = studentNumbRaw;
for (i=0; i<SN_LENGTH; i++){
studentNumb[6-i] = studentNumbWorking%10;
studentNumbWorking /= 10;
}
printf("\nYour student number is:\n");
for (i=0; i<SN_LENGTH; i++)
printf("%i", studentNumb[i]);
printf("\n\n");
// set and print diffusion rate based on last digit of student number
rateDiff = ((((float)(studentNumb[6]))/10.0)*0.19)+0.01;
printf("Your Diffusion Rate is: \n%f\n\n", rateDiff);
// set and print background heat added based on last 4 digits of student number
studentNumbRaw -= 1410000;
bgHeat = ((float)((studentNumbRaw%97)%10));
bgHeat += ((float)((studentNumbRaw%101)%8))*10;
bgHeat /= 100;
printf("Your Background Heat is: \n%f\n\n", bgHeat*100);
// set and print domain for calculating flux
// x1, y1 based on last four digits of student number
x1 = studentNumbRaw % ENV_SIZE_X;
y1 = studentNumbRaw % ENV_SIZE_Y;
// x2, y2 based on last four digits of student number
x2 = x1 + (studentNumbRaw % (97));
if (x2 >= ENV_SIZE_X)
x2 = ENV_SIZE_X - 1;
y2 = y1 + (studentNumbRaw % (29));
if (y2 >= ENV_SIZE_Y)
y2 = ENV_SIZE_Y - 1;
printf("Your Domain is: \n(%i, %i) X (%i, %i)\n\n", x1, y1, x2, y2);
// environment initialization:
// select digits and place into environment
for (i=0; i<SN_LENGTH; i++){
if (studentNumb[i] == 0)
z = 0;
else if (studentNumb[i] == 1)
z = 13;
else if (studentNumb[i] == 2)
z = 27;
else if (studentNumb[i] == 3)
z = 33;
else if (studentNumb[i] == 4)
z = 44;
else if (studentNumb[i] == 5)
z = 55;
else if (studentNumb[i] == 6)
z = 60;
else if (studentNumb[i] == 7)
z = 71;
else if (studentNumb[i] == 8)
z = 81;
else
z = 89;
for (x=0; x<28; x++)
for (y=0; y<28; y++) {
simEnvEven[x+(i*28)+1][y+1] = mnistDatabase[z][y*28+x] + bgHeat;
if (simEnvEven[x+(i*28)+1][y+1] > 1.0)
simEnvEven[x+(i*28)+1][y+1] = 1.0;
}
}
//==========================================================================
//--------------------------ACTUAL CODE-------------------------------------
//==========================================================================
// initialize display
fixBoundaryConditions(simEnvEven);
copyArray2D(simEnvEven, simEnvOdd, ENV_SIZE_X, ENV_SIZE_Y);
loadImage(simEnvEven, plotImg);
cpgpanl(1,1);
cpgsvp(0.0, 1.0, 0.0, 1.0);
cpgswin(0, ENV_SIZE_X, 0, ENV_SIZE_Y);
cpgimag(plotImg, ENV_SIZE_Y, ENV_SIZE_X, 1, ENV_SIZE_Y, 1, ENV_SIZE_X, plotMinBound, plotMaxBound, TR);
cpgrect(x1, x2, y1, y2);
// initialize trackers
tGlobalOld = 0;
fluxOld = 0;
totalHeatOld = 0;
for (x=x1; x<=x2; x++)
for (y=y1; y<=y2; y++)
totalHeatOld += simEnvEven[x][y];
// initial delay to visualize starting matrix
for (t=0; t<500000000; t++){}
t = 0;
tGlobal = 0;
flux = 0;
fluxAverage = 0;
fluxTotal = 0;
while(1){
flux = 0;
cpgpanl(1,1);
cpgsvp(0.0, 1.0, 0.0, 1.0);
cpgswin(0, ENV_SIZE_X, 0, ENV_SIZE_Y);
// calculate heat changes using numeric methods
fixBoundaryConditions(simEnvEven);
//simEnvEven[50][15] = 100;
//simEnvEven[60][15] = -10;
copyArray2D(simEnvEven, simEnvOdd, ENV_SIZE_X, ENV_SIZE_Y);
for (x=1; x<(ENV_SIZE_X-1); x++)
for (y=1; y<(ENV_SIZE_Y-1); y++)
if ((x+y)%2 == 0) {
delta = rateDiff*(simEnvEven[x][y+1] - 2*simEnvEven[x][y] + simEnvEven[x][y-1]);
simEnvOdd[x][y] += delta;
if (INSIDE_BOX)
flux += delta;
delta = rateDiff*(simEnvEven[x+1][y] - 2*simEnvEven[x][y] + simEnvEven[x-1][y]);
simEnvOdd[x][y] += delta;
if (INSIDE_BOX)
flux += delta;
}
for (x=1; x<(ENV_SIZE_X-1); x++)
for (y=1; y<(ENV_SIZE_Y-1); y++)
if ((x+y)%2 == 1) {
delta = rateDiff*(simEnvOdd[x][y+1] - 2*simEnvOdd[x][y] + simEnvOdd[x][y-1]);
simEnvOdd[x][y] += delta;
if (INSIDE_BOX)
flux += delta;
delta = rateDiff*(simEnvOdd[x+1][y] - 2*simEnvOdd[x][y] + simEnvOdd[x-1][y]);
simEnvOdd[x][y] += delta;
if (INSIDE_BOX)
flux += delta;
}
loadImage(simEnvOdd, plotImg);
cpgimag(plotImg, ENV_SIZE_Y, ENV_SIZE_X, 1, ENV_SIZE_Y, 1, ENV_SIZE_X, plotMinBound, plotMaxBound, TR);
cpgrect(x1, x2, y1, y2);
fluxTotal += flux;
tGlobal++;
flux = 0;
//simEnvOdd[50][15] = 100;
//simEnvOdd[60][15] = -10;
fixBoundaryConditions(simEnvOdd);
for (x=1; x<(ENV_SIZE_X-1); x++)
for (y=1; y<(ENV_SIZE_Y-1); y++)
if ((x+y)%2 == 1) {
delta = rateDiff*(simEnvOdd[x][y+1] - 2*simEnvOdd[x][y] + simEnvOdd[x][y-1]);
simEnvEven[x][y] += delta;
if (INSIDE_BOX)
flux += delta;
delta = rateDiff*(simEnvOdd[x+1][y] - 2*simEnvOdd[x][y] + simEnvOdd[x-1][y]);
simEnvEven[x][y] += delta;
if (INSIDE_BOX)
flux += delta;
}
for (x=1; x<(ENV_SIZE_X-1); x++)
for (y=1; y<(ENV_SIZE_Y-1); y++)
if ((x+y)%2 == 0) {
delta = rateDiff*(simEnvEven[x][y+1] - 2*simEnvEven[x][y] + simEnvEven[x][y-1]);
simEnvEven[x][y] += delta;
if (INSIDE_BOX)
flux += delta;
delta = rateDiff*(simEnvEven[x+1][y] - 2*simEnvEven[x][y] + simEnvEven[x-1][y]);
simEnvEven[x][y] += delta;
if (INSIDE_BOX)
flux += delta;
}
loadImage(simEnvEven, plotImg);
cpgimag(plotImg, ENV_SIZE_Y, ENV_SIZE_X, 1, ENV_SIZE_Y, 1, ENV_SIZE_X, plotMinBound, plotMaxBound, TR);
cpgrect(x1, x2, y1, y2);
fluxTotal += flux;
tGlobal++;
// flux line plot
cpgpanl(1,2);
cpgsvp(0.08, 0.92, 0.08, 0.92);
cpgswin(LINE_PLOT_X1, LINE_PLOT_X2, FLUX_PLOT_Y1, FLUX_PLOT_Y2);
cpgmove(tGlobalOld, fluxOld);
cpgdraw(tGlobal, flux);
// heat line plot
totalHeat = 0;
for (x=x1; x<=x2; x++)
for (y=y1; y<=y2; y++)
totalHeat += simEnvEven[x][y];
cpgpanl(1,3);
cpgsvp(0.08, 0.92, 0.08, 0.92);
cpgswin(LINE_PLOT_X1, LINE_PLOT_X2, LINE_PLOT_Y1, LINE_PLOT_Y2);
cpgmove(tGlobalOld, totalHeatOld);
cpgdraw(tGlobal, totalHeat);
// set trackers
tGlobalOld = tGlobal;
totalHeatOld = totalHeat;
fluxOld = flux;
if (tGlobal%100 == 0) {
totalHeat = 0;
for (x=x1; x<=x2; x++)
for (y=y1; y<=y2; y++)
totalHeat += simEnvEven[x][y];
fluxAverage = fluxTotal/tGlobal;
fluxHeat = totalHeat - totalHeatPre;
printf("Total Heat: %f \n Current Divergence: %f \n Current Flux: %f\n\n", totalHeat, flux, fluxHeat);
}
totalHeatPre = 0;
for (x=x1; x<=x2; x++)
for (y=y1; y<=y2; y++)
totalHeatPre += simEnvEven[x][y];
}
}
int main(int argc, char *argv[]) {
float *x=NULL,*y=NULL,minx,maxx,miny,maxy,cx, *oparams=NULL,*nparams=NULL;
float *rx=NULL,*ry=NULL,*w=NULL,*wparams=NULL,*wx=NULL,*wy=NULL,*ww=NULL;
float *y_sault_fit=NULL, *x_fit=NULL, *y_new_fit=NULL, *y_reynolds_fit=NULL;
float *y_stevens_fit=NULL,*y_whole_fit=NULL,*y_old_fit=NULL;
int i,j,n=0,n_fit=100,new_fit_order=2,whole_fit_order=5,nr=0,nw=0;
/* float extra_x[NEXTRA]={ 93, 95 }, extra_y[NEXTRA] = { 0.1223, 0.1168 }; */
float extra_x[NEXTRA]= { 93, 95 }, extra_y[NEXTRA] = { 0.1116, 0.1056 };
float extra_u[NEXTRA]= { 0.01356, 0.01399 };
float fitp_sault[NFIT_SAULT]= { -202.6259, 149.7321, -36.4943, 2.9372 };
float fitp_reynolds[NFIT_REYNOLDS]= { -30.7667, 26.4908, -7.0977, 0.605334 };
float fitp_stevens[NFIT_STEVENS]= { -1.237160, 2.005317, -0.400622 };
float fitp_old[NFIT_OLD]= { -23.839, 19.569, -4.8168, 0.35836 };
float *ratio_reynolds_fit=NULL,*ratio_stevens_fit=NULL,*ratio_sault_fit=NULL;
float *ratio_new_fit=NULL;
float vpx1, vpx2, vpy1, vpy2, vpy3, lx, ly, dly;
char fitlabel[BUFSIZE];
/* Generate the cm fit points. */
for (cx=1.0; cx<10.0; cx+=0.1) {
nr++;
rx = realloc(rx, nr * sizeof(float));
ry = realloc(ry, nr * sizeof(float));
rx[nr-1] = log10f(cx * 1000);
ry[nr-1] = 0.0;
for (i=0; i<NFIT_REYNOLDS; i++) {
ry[nr-1] += fitp_reynolds[i] * powf(rx[n-1], (float)i);
}
}
/* Generate the 15mm fit points. */
for (cx=10.0; cx<=24.0; cx+=0.128) {
n++;
x = realloc(x, n * sizeof(float));
y = realloc(y, n * sizeof(float));
w = realloc(w, n * sizeof(float));
x[n-1] = log10f(cx * 1000);
y[n-1] = 0.0;
for (i=0; i<NFIT_REYNOLDS; i++) {
y[n-1] += fitp_sault[i] * powf(x[n-1], (float)i);
}
w[n-1] = 1.0/0.1;
}
/* Do the fit. */
linfit_order(NFIT_SAULT, n, x, y, w, &oparams);
for (i=0; i<NFIT_SAULT; i++) {
printf("i = %d c[i] = %.4f\n", i, oparams[i]);
}
/* Add the 3mm flux points. */
for (i=0; i<NEXTRA; i++) {
n++;
x = realloc(x, n * sizeof(float));
y = realloc(y, n * sizeof(float));
w = realloc(w, n * sizeof(float));
x[n-1] = log10f(extra_x[i] * 1000);
y[n-1] = log10f(extra_y[i]);
w[n-1] = 1/extra_u[i];
}
/* Do another fit. */
linfit_order(new_fit_order, n, x, y, w, &nparams);
for (i=0; i<new_fit_order; i++) {
printf("i = %d nc[i] = %.4f\n", i, nparams[i]);
}
/* Generate the whole range fit points. */
minx=log10f(900);
maxx=log10f(100000);
miny=-2;
maxy=log10f(20);
x_fit = malloc(n_fit * sizeof(float));
for (i=0; i<n_fit; i++) {
x_fit[i] = minx + i * ((maxx - minx)/(float)n_fit);
nw++;
wx = realloc(wx, nw * sizeof(float));
wy = realloc(wy, nw * sizeof(float));
ww = realloc(ww, nw * sizeof(float));
wx[nw-1] = x_fit[i];
wy[nw-1] = 0.0;
ww[nw-1] = 1;
if (x_fit[i] < log10f(11143)) {
/* Use the Reynolds fit. */
for (j=0; j<NFIT_REYNOLDS; j++) {
wy[nw-1] += fitp_reynolds[j] * powf(x_fit[i], (float)j);
}
} else {
/* Use the new fit. */
for (j=0; j<new_fit_order; j++) {
wy[nw-1] += nparams[j] * powf(x_fit[i], (float)j);
}
}
}
/* Do a whole-range fit. */
linfit_order(whole_fit_order, nw, wx, wy, ww, &wparams);
for (i=0; i<whole_fit_order; i++) {
printf("i = %d wc[i] = %.4f\n", i, wparams[i]);
}
// minmax(n, x, &minx, &maxx);
// minmax(n, y, &miny, &maxy);
y_sault_fit = malloc(n_fit * sizeof(float));
y_reynolds_fit = malloc(n_fit * sizeof(float));
y_stevens_fit = malloc(n_fit * sizeof(float));
y_new_fit = malloc(n_fit * sizeof(float));
y_whole_fit = malloc(n_fit * sizeof(float));
y_old_fit = malloc(n_fit * sizeof(float));
ratio_reynolds_fit = malloc(n_fit * sizeof(float));
ratio_stevens_fit = malloc(n_fit * sizeof(float));
ratio_sault_fit = malloc(n_fit * sizeof(float));
ratio_new_fit = malloc(n_fit * sizeof(float));
/* minx=log10f(50); */
minx=log10f(1000);
/* maxx=log10f(500000); */
maxx=log10f(110000);
for (i=0; i<n_fit; i++) {
x_fit[i] = minx + i * ((maxx - minx)/(float)n_fit);
y_sault_fit[i] = 0.0;
y_reynolds_fit[i] = 0.0;
y_new_fit[i] = 0.0;
y_stevens_fit[i] = 0.0;
y_whole_fit[i] = 0.0;
y_old_fit[i] = 0.0;
for (j=0; j<NFIT_SAULT; j++) {
y_sault_fit[i] += fitp_sault[j] * powf(x_fit[i], (float)j);
}
for (j=0; j<NFIT_REYNOLDS; j++) {
y_reynolds_fit[i] += fitp_reynolds[j] * powf(x_fit[i], (float)j);
}
for (j=0; j<NFIT_STEVENS; j++) {
y_stevens_fit[i] += fitp_stevens[j] * powf(x_fit[i], (float)j);
}
for (j=0; j<new_fit_order; j++) {
y_new_fit[i] += nparams[j] * powf(x_fit[i], (float)j);
}
for (j=0; j<whole_fit_order; j++) {
y_whole_fit[i] += wparams[j] * powf(x_fit[i], (float)j);
}
for (j=0; j<NFIT_OLD; j++) {
y_old_fit[i] += fitp_old[j] * powf(x_fit[i], (float)j);
}
ratio_reynolds_fit[i] = powf(10, (y_reynolds_fit[i] - y_whole_fit[i]));
ratio_stevens_fit[i] = powf(10, (y_stevens_fit[i] - y_whole_fit[i]));
ratio_sault_fit[i] = powf(10, (y_sault_fit[i] - y_whole_fit[i]));
ratio_new_fit[i] = powf(10, (y_new_fit[i] - y_whole_fit[i]));
}
/* cpgopen("11/xs"); */
cpgopen("1934-638_models.ps/cps");
/* cpgopen("1934-638_models.png/png"); */
cpgqvp(0, &vpx1, &vpx2, &vpy1, &vpy2);
vpy3 = vpy1 + (vpy2 - vpy1) / 5.0;
/* cpgsvp(vpx1, vpx2, vpy3, vpy2); */
cpgswin(minx, maxx, miny, maxy);
lx = minx + (maxx - minx) / 9.0;
ly = miny + (maxy - miny) / 3.0;
dly = (maxy - miny) / 20.0;
cpgsch(1.0);
cpgbox("BCLNTS",0,0,"BCLNTS",0,0);
cpglab("Frequency (MHz)", "Flux Density (Jy)", "1934-638 Model Comparison");
cpgsch(0.8);
cpgpt(n, x, y, 4);
/* cpgpt(nw, wx, wy, 4); */
cpgsci(2);
/* cpgpt(nr, rx, ry, 4); */
cpgline(n_fit, x_fit, y_sault_fit);
strcpy(fitlabel, "Sault: ");
fitstring(fitp_sault, NFIT_SAULT, fitlabel);
cpgtext(lx, ly, fitlabel);
cpgsci(3);
cpgline(n_fit, x_fit, y_new_fit);
strcpy(fitlabel, "Stevens (linear): ");
fitstring(nparams, new_fit_order, fitlabel);
ly -= dly;
cpgtext(lx, ly, fitlabel);
cpgsci(4);
cpgline(n_fit, x_fit, y_reynolds_fit);
strcpy(fitlabel, "Reynolds: ");
fitstring(fitp_reynolds, NFIT_REYNOLDS, fitlabel);
ly -= dly;
cpgtext(lx, ly, fitlabel);
cpgsci(5);
cpgline(n_fit, x_fit, y_stevens_fit);
strcpy(fitlabel, "Stevens (Miriad): ");
fitstring(fitp_stevens, NFIT_STEVENS, fitlabel);
ly -= dly;
cpgtext(lx, ly, fitlabel);
cpgsci(6);
cpgline(n_fit, x_fit, y_old_fit);
strcpy(fitlabel, "Pre-1994: ");
fitstring(fitp_old, NFIT_OLD, fitlabel);
ly -= dly;
cpgtext(lx, ly, fitlabel);
/* cpgsci(6); */
/* cpgline(n_fit, x_fit, y_whole_fit); */
/* strcpy(fitlabel, "Stevens (New): "); */
/* fitstring(wparams, whole_fit_order, fitlabel); */
/* ly -= dly; */
/* cpgtext(lx, ly, fitlabel); */
/* cpgsvp(vpx1, vpx2, vpy1, vpy3); */
/* cpgsci(1); */
/* cpgswin(minx, maxx, 0.9, 1.1); */
/* cpgsch(1.0); */
/* cpgbox("BCLNTS",0,0,"BCMTS",0,0); */
/* cpglab("Frequency (MHz)", "Model Ratio", ""); */
/* cpgsci(2); */
/* cpgline(n_fit, x_fit, ratio_sault_fit); */
/* cpgsci(3); */
/* cpgline(n_fit, x_fit, ratio_new_fit); */
/* cpgsci(4); */
/* cpgline(n_fit, x_fit, ratio_reynolds_fit); */
/* cpgsci(5); */
/* cpgline(n_fit, x_fit, ratio_stevens_fit); */
cpgclos();
exit(0);
}
int makePlot (char *fname, char *dname, int number)
{
FILE *fpt;
double *on_energy;
double *off_energy;
double ave_on, ave_off;
double on, off;
int i, j;
on_energy = (double *)malloc(sizeof(double)*number);
off_energy = (double *)malloc(sizeof(double)*number);
if ((fpt = fopen(fname, "r")) == NULL)
{
fprintf (stdout, "Can't open file\n");
exit(1);
}
i = 0;
while (fscanf(fpt, "%lf %lf", &on, &off) == 2)
{
on_energy[i] = on;
off_energy[i] = off;
i++;
}
if (fclose (fpt) != 0)
fprintf (stderr, "Error closing\n");
ave_on = 0.0;
ave_off = 0.0;
for (i = 0; i < number; i++)
{
ave_on += on_energy[i];
ave_off += off_energy[i];
}
ave_on = ave_on/number;
ave_off = ave_off/number;
for (i = 0; i < number; i++)
{
on_energy[i] = on_energy[i]/ave_on;
off_energy[i] = off_energy[i]/ave_on;
}
/////////////////////////////////////////////////
float *xHis_on; // x axis of the histogram
float *val_on; // data value of the histogram
float *xHis_off; // x axis of the histogram
float *val_off; // data value of the histogram
int step = 100; // steps in the histogram
//char caption[1024];
//char text[1024];
float max, max1, max2;
// make histogram
xHis_on = (float*)malloc(sizeof(float)*step);
val_on = (float*)malloc(sizeof(float)*step);
xHis_off = (float*)malloc(sizeof(float)*step);
val_off = (float*)malloc(sizeof(float)*step);
histogram (on_energy, number, xHis_on, val_on, -1.0, 4.0, step);
histogram (off_energy, number, xHis_off, val_off, -1.0, 4.0, step);
// plot
//cpgbeg(0,"/xs",1,1);
cpgbeg(0,dname,1,1);
cpgsch(1); // set character height
cpgscf(1); // set character font
// find the max
max1 = find_max_value(step,val_off);
max2 = find_max_value(step,val_on);
max = (max1 >= max2 ? max1 : max2);
//cpgenv(-5,5,0,4500,0,1); // set window and viewport and draw labeled frame
cpgenv(-1,4,0,max+0.1*max,0,1); // set window and viewport and draw labeled frame
//sprintf(caption, "%s", "Flux density histogram");
cpglab("Flux (mJy)","Number","");
cpgbin(step,xHis_on,val_on,0);
cpgsci(2);
cpgbin(step,xHis_off,val_off,0);
///////////////////////////////////////////////////////
cpgend();
////////////////////
free(on_energy);
free(off_energy);
free(xHis_on);
free(val_on);
free(xHis_off);
free(val_off);
return 0;
}
void getTOA_alg1(ptime_observation *obs,pheader *header,tmplStruct *tmpl,toaStruct *toa,FILE *fout_log)
{
int i,j,k;
int nbin = header->nbin;
int nchan = header->nchan;
int npol = header->npol;
double chisq;
double diffVals[nbin];
double phiRot = 0;
double step1 = 1.0/nbin/2.0;
double step = step1;
double baseline = 0;
double scale = 1;
double tmplEval;
int chan = 0;
int pol = 0;
double phi,bestPhi;
double phi0,phi1,bestChisq;
int it;
double chisqVals[nbin*2];
double phiVals[nbin*2];
int nChisqVals,ibest;
int iterateAgain;
int maxIterations = 10;
int plotOutput=0;
double error;
double *fitX;
double *fitY;
double *fitE;
int *fitI,*fitJ,*fitK;
int nfit = npol+1; // Up to 4 baselines per profile + 1 scaling factor
double outputParams_v[nfit];
double outputParams_e[nfit];
double results_v[npol*nchan+nchan];
double results_e[npol*nchan+nchan];
int weight = 1;
double bestParameters[npol*nchan+nchan];
double chisqTot;
// Covariance matrix
double **cvm;
cvm = (double **)malloc(sizeof(double*)*nfit);
for (i=0;i<nfit;i++)
cvm[i] = (double *)malloc(sizeof(double)*nfit);
if (!(fitX = (double *)malloc(sizeof(double)*npol*nchan*nbin))){
printf("Unable to allocate enough memory for fitX\n");
exit(1);
}
if (!(fitY = (double *)malloc(sizeof(double)*npol*nchan*nbin))){
printf("Unable to allocate enough memory for fitY\n");
exit(1);
}
if (!(fitE = (double *)malloc(sizeof(double)*npol*nchan*nbin))){
printf("Unable to allocate enough memory for fitE\n");
exit(1);
}
if (!(fitI = (int *)malloc(sizeof(int)*npol*nchan*nbin))){
printf("Unable to allocate enough memory for fitI\n");
exit(1);
}
if (!(fitJ = (int *)malloc(sizeof(int)*npol*nchan*nbin))){
printf("Unable to allocate enough memory for fitJ\n");
exit(1);
}
if (!(fitK = (int *)malloc(sizeof(int)*npol*nchan*nbin))){
printf("Unable to allocate enough memory for fitK\n");
exit(1);
}
printf("Baseline sdev = %g, mean = %g\n",obs->chan[0].pol[0].sdev,obs->chan[0].pol[0].baselineVal);
printf("On the next line\n");
printf("npol = %d \n",npol);
printf("Doing fit\n");
it = 0;
do {
printf("Iteration %d\n",it+1);
if (it == 0) {
phi0 = -0.5;
phi1 = 0.5;
} else {
phi0 = bestPhi - step;
phi1 = bestPhi + step;
step/=(double)10.0;
}
nChisqVals = 0;
for (phiRot = phi0;phiRot < phi1;phiRot += step)
{
printf("Complete: %.1f percent\n",(phiRot-phi0)/(phi1-phi0)*100);
// phiRot = 0.0;
// Least squares fit for baseline and amplitude at given phiRot
// printf("Doing fit\n");
chisqTot=0;
for (j=0;j<nchan;j++){
for (i=0;i<npol;i++){
for (k=0;k<nbin;k++){
// printf("Setting %d %d %d %d %d\n",i,j,k,npol*nchan*nbin,i*(nchan*nbin)+j*nbin+k);
fitI[i*nbin+k] = i;
fitJ[i*nbin+k] = j;
fitK[i*nbin+k] = k;
fitX[i*nbin+k] = (double)k/(double)nbin;
// printf("This far\n");
// printf("Searching for %g\n",obs->chan[j].pol[i].val[k]);
fitY[i*nbin+k] = obs->chan[j].pol[i].val[k];
fitE[i*nbin+k] = obs->chan[j].pol[i].sdev;
}
}
TKleastSquares_svd(fitX,fitY,fitE,fitI,fitJ,fitK,npol*nbin,outputParams_v,outputParams_e,nfit,cvm, &chisq, fitFunc, tmpl, weight,phiRot);
chisqTot += chisq;
for (i=0;i<npol+1;i++)
{
results_v[(npol+1)*j + i] = outputParams_v[i];
results_e[(npol+1)*j + i] = outputParams_e[i];
}
// for (i=0;i<npol*nbin;i++)
// {
// printf("FitVals = %g %g %g\n",fitX[i],fitY[i],fitE[i]);
// }
// for (i=0;i<nbin;i++)
// printf("Best %g %g\n",fitX[i],outputParams_v[4]*evaluateTemplateChannel(tmpl,fitX[i],j,0,phiRot)+outputParams_v[0]);
// for (i=0;i<nbin;i++)
// printf("Best %g %g\n",fitX[i],outputParams_v[4]*evaluateTemplateChannel(tmpl,fitX[i],j,1,phiRot)+outputParams_v[1]);
// for (i=0;i<nbin;i++)
// printf("Best %g %g\n",fitX[i],outputParams_v[4]*evaluateTemplateChannel(tmpl,fitX[i],j,2,phiRot)+outputParams_v[2]);
// for (i=0;i<nbin;i++)
// printf("Best %g %g\n",fitX[i],outputParams_v[4]*evaluateTemplateChannel(tmpl,fitX[i],j,3,phiRot)+outputParams_v[3]);
// for (i=0;i<nfit;i++){
// printf("%d %g %g\n",i,outputParams_v[i],outputParams_e[i]);
}
// printf("Done fit\n");
// baseline = outputParams_v[0];
// scale = outputParams_v[1];
// for (i=0;i<nfit;i++){
// printf("%d %g %g\n",i,outputParams_v[i],outputParams_e[i]);
// }
// exit(1);
chisqVals[nChisqVals] = chisqTot;
phiVals[nChisqVals] = phiRot;
if (nChisqVals==0){
bestPhi = phiRot;
bestChisq = chisqTot;
for (i=0;i<nchan*npol+nchan;i++){
bestParameters[i] = outputParams_v[i];
}
ibest = nChisqVals;
} else {
if (bestChisq > chisqTot){
bestChisq = chisqTot;
bestPhi = phiRot;
ibest = nChisqVals;
for (i=0;i<nchan*npol+nchan;i++){
bestParameters[i] = outputParams_v[i];
}
}
}
// printf("Chisq = %g\n",chisq);
// exit(1);
nChisqVals++;
}
printf("nvals =%d\n",nChisqVals);
// Should check if we need to iterate again - do check based on how chisq is changing - i.e, must get a good measure of the chisq increasing by 1
iterateAgain = 1;
for (i=ibest+1;i<nChisqVals;i++)
{
if (chisqVals[i] < bestChisq + 1){
iterateAgain = 0;
break;
}
}
it++;
} while (iterateAgain == 1 && it < maxIterations);
printf("ibest = %d, nChisqVals = %d, bestPhi = %g\n",ibest,nChisqVals,bestPhi);
// exit(1);
{
int foundStart = 0;
double start,end;
// Should think how to improve this method
for (i=0;i<nChisqVals;i++)
{
fprintf(fout_log,"chisqVals %g %g\n",phiVals[i],chisqVals[i]);
if (foundStart==0 && chisqVals[i] <= bestChisq + 1)
{
foundStart = 1;
start = phiVals[i];
}
else if (foundStart == 1 && chisqVals[i] >= bestChisq + 1)
{
end = phiVals[i];
break;
}
}
error = (end-start)/2.0;
}
printf("Number of iterations = %d\n",it);
printf("bestPhi = %g\n",bestPhi);
printf("bestChisq = %g\n",bestChisq);
for (i=0;i<nchan*npol+nchan;i++){
printf("Best parameter: %d %g\n",i,bestParameters[i]);
}
fprintf(fout_log,"Number of iterations = %d\n",it);
fprintf(fout_log,"bestPhi = %g\n",bestPhi);
fprintf(fout_log,"bestChisq = %g\n",bestChisq);
for (i=0;i<nchan*npol+nchan;i++){
fprintf(fout_log,"Best parameter: %d %g\n",i,bestParameters[i]);
}
if (plotOutput == 1){
float fx[nbin*2],fy[nbin*2],ft[nbin*2],dy[nbin*2];
float miny,maxy;
float miny2,maxy2;
for (i=0;i<nbin;i++)
{
fx[i] = (float)i/(float)nbin;
fx[i+nbin] = fx[i]+1;
// tmplEval = bestScale*evaluateTemplateChannel(tmpl,fx[i],chan,pol,bestPhi)+bestBaseline;
fy[i] = obs->chan[chan].pol[pol].val[i];
fy[i+nbin] = fy[i];
ft[i] = tmplEval;
ft[i+nbin] = ft[i];
dy[i] = fy[i]-ft[i];
dy[i+nbin] = dy[i];
}
findMinMax(nbin,fy,&miny,&maxy);
findMinMax(nbin,dy,&miny2,&maxy2);
cpgbeg(0,"/xs",1,1);
cpgsvp(0.1,0.9,0.5,0.9);
cpgeras();
cpgswin(0,2,miny,maxy);
cpgbox("BCTS",0.0,0,"BCTSN",0.0,0);
cpgbin(nbin*2,fx,fy,1);
cpgsci(2); cpgline(nbin*2,fx,ft); cpgsci(1);
cpgsvp(0.1,0.9,0.15,0.5);
cpgswin(0,2,miny2,maxy2);
cpgbox("BCTSN",0.0,0,"BCTSN",0.0,0);
cpglab("Phase","prof-tmpl","");
cpgbin(nbin*2,fx,dy,1);
cpgend();
}
toa->dphi = bestPhi;
toa->dphiErr = error;
for (i=0;i<nfit;i++)
free(cvm[i]);
free(cvm);
free(fitX); free(fitY); free(fitE); free(fitI); free(fitJ); free(fitK);
return;
}