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;
}
static void _pgclos (void)
{
void (*sig_func)(int);
sig_func = SLsignal (SIGSEGV, sig_segv);
if (sig_func == SIG_ERR)
fprintf (stderr, "warning: failed initializing signal handler for SIGSEGV\n");
cpgclos ();
if (SLsignal (SIGSEGV, sig_func) == SIG_ERR)
fprintf (stderr, "warning: failed to re-set signal handler\n");
}
int main(int argc, char *argv[])
{
float minval = SMALLNUM, maxval = LARGENUM, inx = 0, iny = 0;
int centern, offsetn;
int zoomlevel, maxzoom = 0, minzoom, xid, psid;
char *rootfilenm, inchar;
datapart *lodp;
dataview *dv;
basicstats *statvals;
if (argc == 1) {
printf("\nusage: exploredat datafilename\n\n");
exit(0);
}
printf("\n\n");
printf(" Interactive Data Explorer\n");
printf(" by Scott M. Ransom\n");
printf(" November, 2001\n");
print_help();
{
int hassuffix = 0;
char *suffix;
hassuffix = split_root_suffix(argv[1], &rootfilenm, &suffix);
if (hassuffix) {
if (strcmp(suffix, "dat") != 0) {
printf
("\nInput file ('%s') must be a single PRESTO data file ('.dat')!\n\n",
argv[1]);
free(suffix);
exit(0);
}
free(suffix);
} else {
printf("\nInput file ('%s') must be a PRESTO data file ('.dat')!\n\n",
argv[1]);
exit(0);
}
}
/* Read the info file */
readinf(&idata, rootfilenm);
if (idata.object) {
printf("Examining %s data from '%s'.\n\n",
remove_whitespace(idata.object), argv[1]);
} else {
printf("Examining data from '%s'.\n\n", argv[1]);
}
#ifdef USEMMAP
mmap_file = open(argv[1], O_RDONLY);
{
int rt;
struct stat buf;
rt = fstat(mmap_file, &buf);
if (rt == -1) {
perror("\nError in fstat() in exploredat.c");
printf("\n");
exit(-1);
}
Ndat = buf.st_size / sizeof(float);
}
lodp = get_datapart(0, Ndat);
#else
{
int numsamp;
datfile = chkfopen(argv[1], "rb");
Ndat = chkfilelen(datfile, sizeof(float));
numsamp = (Ndat > MAXPTS) ? (int) MAXPTS : (int) Ndat;
lodp = get_datapart(0, numsamp);
}
#endif
/* Plot the initial data */
centern = 0.5 * INITIALNUMPTS;
if (centern > lodp->nn)
centern = lodp->nn / 2;
zoomlevel = LOGMAXDISPNUM - LOGINITIALNUMPTS;
minzoom = LOGMAXDISPNUM - LOGMAXPTS;
maxzoom = LOGMAXDISPNUM - LOGMINDISPNUM;
dv = get_dataview(centern, zoomlevel, lodp);
/* Prep the XWIN device for PGPLOT */
xid = cpgopen("/XWIN");
if (xid <= 0) {
free_datapart(lodp);
#ifdef USEMMAP
close(mmap_file);
#else
fclose(datfile);
#endif
free(dv);
exit(EXIT_FAILURE);
}
cpgask(0);
cpgpage();
offsetn = plot_dataview(dv, minval, maxval, 1.0);
do {
cpgcurs(&inx, &iny, &inchar);
if (DEBUGOUT)
printf("You pressed '%c'\n", inchar);
switch (inchar) {
case ' ': /* Toggle stats and sample plotting on/off */
/* 0 = both, 1 = stats only, 2 = data only */
plotstats++;
plotstats = plotstats % 3;
cpgpage();
offsetn = plot_dataview(dv, minval, maxval, 1.0);
break;
case 'M': /* Toggle between median and average */
case 'm':
usemedian = (usemedian) ? 0 : 1;
free(dv);
dv = get_dataview(centern, zoomlevel, lodp);
cpgpage();
offsetn = plot_dataview(dv, minval, maxval, 1.0);
break;
case 'A': /* Zoom in */
case 'a':
centern = inx + offsetn;
case 'I':
case 'i':
if (DEBUGOUT)
printf(" Zooming in (zoomlevel = %d)...\n", zoomlevel);
if (zoomlevel < maxzoom) {
zoomlevel++;
free(dv);
dv = get_dataview(centern, zoomlevel, lodp);
cpgpage();
offsetn = plot_dataview(dv, minval, maxval, 1.0);
} else
printf(" Already at maximum zoom level (%d).\n", zoomlevel);
break;
case 'X': /* Zoom out */
case 'x':
case 'O':
case 'o':
if (DEBUGOUT)
printf(" Zooming out (zoomlevel = %d)...\n", zoomlevel);
if (zoomlevel > minzoom) {
zoomlevel--;
free(dv);
dv = get_dataview(centern, zoomlevel, lodp);
cpgpage();
offsetn = plot_dataview(dv, minval, maxval, 1.0);
} else
printf(" Already at minimum zoom level (%d).\n", zoomlevel);
break;
case '<': /* Shift left 1 full screen */
centern -= dv->numsamps + dv->numsamps / 8;
case ',': /* Shift left 1/8 screen */
if (DEBUGOUT)
printf(" Shifting left...\n");
centern -= dv->numsamps / 8;
{ /* Should probably get the previous chunk from the datfile... */
double lowestr;
lowestr = 0.5 * dv->numsamps;
if (centern < lowestr)
centern = lowestr;
}
free(dv);
dv = get_dataview(centern, zoomlevel, lodp);
cpgpage();
offsetn = plot_dataview(dv, minval, maxval, 1.0);
break;
case '>': /* Shift right 1 full screen */
centern += dv->numsamps - dv->numsamps / 8;
case '.': /* Shift right 1/8 screen */
centern += dv->numsamps / 8;
if (DEBUGOUT)
printf(" Shifting right...\n");
{ /* Should probably get the next chunk from the datfile... */
double highestr;
highestr = lodp->nlo + lodp->nn - 0.5 * dv->numsamps;
if (centern > highestr)
centern = highestr;
}
free(dv);
dv = get_dataview(centern, zoomlevel, lodp);
cpgpage();
offsetn = plot_dataview(dv, minval, maxval, 1.0);
break;
case '+': /* Increase height of top edge */
{
float dy;
if (maxval > 0.5 * LARGENUM) {
printf(" Auto-scaling of top edge is off.\n");
if (minval < 0.5 * SMALLNUM)
dy = dv->maxval - dv->minval;
else
dy = dv->maxval - minval;
maxval = dv->maxval + 0.1 * dy;
} else {
if (minval < 0.5 * SMALLNUM)
dy = maxval - dv->minval;
else
dy = maxval - minval;
maxval += 0.1 * dy;
}
cpgpage();
offsetn = plot_dataview(dv, minval, maxval, 1.0);
break;
}
case '_': /* Decrease height of top edge */
{
float dy;
if (maxval > 0.5 * LARGENUM) {
printf(" Auto-scaling of top edge is off.\n");
if (minval < 0.5 * SMALLNUM)
dy = dv->maxval - dv->minval;
else
dy = dv->maxval - minval;
maxval = dv->maxval - 0.1 * dy;
} else {
if (minval < 0.5 * SMALLNUM)
dy = maxval - dv->minval;
else
dy = maxval - minval;
maxval -= 0.1 * dy;
}
cpgpage();
offsetn = plot_dataview(dv, minval, maxval, 1.0);
break;
}
case '=': /* Increase height of bottom edge */
{
float dy;
if (minval < 0.5 * SMALLNUM) {
printf(" Auto-scaling of bottom edge is off.\n");
if (maxval > 0.5 * LARGENUM)
dy = dv->maxval - dv->minval;
else
dy = maxval - dv->minval;
minval = dv->minval + 0.1 * dy;
} else {
if (maxval > 0.5 * LARGENUM)
dy = dv->maxval - minval;
else
dy = maxval - minval;
minval += 0.1 * dy;
}
cpgpage();
offsetn = plot_dataview(dv, minval, maxval, 1.0);
break;
}
case '-': /* Decrease height of bottom edge */
{
float dy;
if (minval < 0.5 * SMALLNUM) {
printf(" Auto-scaling of bottom edge is off.\n");
if (maxval > 0.5 * LARGENUM)
dy = dv->maxval - dv->minval;
else
dy = maxval - dv->minval;
minval = dv->minval - 0.1 * dy;
} else {
if (maxval > 0.5 * LARGENUM)
dy = dv->maxval - minval;
else
dy = maxval - minval;
minval -= 0.1 * dy;
}
cpgpage();
offsetn = plot_dataview(dv, minval, maxval, 1.0);
break;
}
case 'S': /* Auto-scale */
case 's':
printf(" Auto-scaling is on.\n");
minval = SMALLNUM;
maxval = LARGENUM;
cpgpage();
offsetn = plot_dataview(dv, minval, maxval, 1.0);
break;
case 'G': /* Goto a time */
case 'g':
{
char timestr[50];
double time = -1.0;
while (time < 0.0) {
printf
(" Enter the time (s) from the beginning of the file to go to:\n");
fgets(timestr, 50, stdin);
timestr[strlen(timestr) - 1] = '\0';
time = atof(timestr);
}
offsetn = 0.0;
centern = (int) (time / idata.dt + 0.5);
printf(" Moving to time %.15g (data point %d).\n", time, centern);
free(dv);
dv = get_dataview(centern, zoomlevel, lodp);
cpgpage();
offsetn = plot_dataview(dv, minval, maxval, 1.0);
}
break;
case '?': /* Print help screen */
print_help();
break;
case 'P': /* Print the current plot */
case 'p':
{
int len;
char filename[200];
printf(" Enter the filename to save the plot as:\n");
fgets(filename, 195, stdin);
len = strlen(filename) - 1;
filename[len + 0] = '/';
filename[len + 1] = 'C';
filename[len + 2] = 'P';
filename[len + 3] = 'S';
filename[len + 4] = '\0';
psid = cpgopen(filename);
cpgslct(psid);
cpgpap(10.25, 8.5 / 11.0);
cpgiden();
offsetn = plot_dataview(dv, minval, maxval, 1.0);
cpgclos();
cpgslct(xid);
filename[len] = '\0';
printf(" Wrote the plot to the file '%s'.\n", filename);
}
break;
case 'V': /* Show the basic statistics for the current dataview */
case 'v':
statvals = calc_stats(dv, lodp);
printf("\n Statistics:\n"
" Low sample %d\n"
" Number of samples %d\n"
" Low time (s) %.7g\n"
" Duration of samples (s) %.7g\n"
" Maximum value %.7g\n"
" Minimum value %.7g\n"
" Average value %.7g\n"
" Median value %.7g\n"
" Standard Deviation %.7g\n"
" Skewness %.7g\n"
" Kurtosis %.7g\n\n",
dv->lon, dv->numsamps, dv->lon * idata.dt, dv->numsamps * idata.dt,
statvals->max, statvals->min, statvals->average,
statvals->median, statvals->stdev,
statvals->skewness, statvals->kurtosis);
free(statvals);
break;
case 'Q': /* Quit */
case 'q':
printf(" Quitting...\n");
free(dv);
cpgclos();
break;
default:
printf(" Unrecognized option '%c'.\n", inchar);
break;
}
} while (inchar != 'Q' && inchar != 'q');
free_datapart(lodp);
#ifdef USEMMAP
close(mmap_file);
#else
fclose(datfile);
#endif
printf("Done\n\n");
return 0;
}
void rfifind_plot(int numchan, int numint, int ptsperint,
float timesigma, float freqsigma,
float inttrigfrac, float chantrigfrac,
float **dataavg, float **datastd, float **datapow,
int *userchan, int numuserchan,
int *userints, int numuserints,
infodata * idata, unsigned char **bytemask,
mask * oldmask, mask * newmask,
rfi * rfivect, int numrfi, int rfixwin, int rfips, int xwin)
/* Make the beautiful multi-page rfifind plots */
{
int ii, jj, ct, loops = 1;
float *freqs, *chans, *times, *ints;
float *avg_chan_avg, *std_chan_avg, *pow_chan_avg;
float *avg_chan_med, *std_chan_med, *pow_chan_med;
float *avg_chan_std, *std_chan_std, *pow_chan_std;
float *avg_int_avg, *std_int_avg, *pow_int_avg;
float *avg_int_med, *std_int_med, *pow_int_med;
float *avg_int_std, *std_int_std, *pow_int_std;
float dataavg_avg, datastd_avg, datapow_avg;
float dataavg_med, datastd_med, datapow_med;
float dataavg_std, datastd_std, datapow_std;
float avg_reject, std_reject, pow_reject;
double inttim, T, lof, hif;
inttim = ptsperint * idata->dt;
T = inttim * numint;
lof = idata->freq - 0.5 * idata->chan_wid;
hif = lof + idata->freqband;
avg_chan_avg = gen_fvect(numchan);
std_chan_avg = gen_fvect(numchan);
pow_chan_avg = gen_fvect(numchan);
avg_int_avg = gen_fvect(numint);
std_int_avg = gen_fvect(numint);
pow_int_avg = gen_fvect(numint);
avg_chan_med = gen_fvect(numchan);
std_chan_med = gen_fvect(numchan);
pow_chan_med = gen_fvect(numchan);
avg_int_med = gen_fvect(numint);
std_int_med = gen_fvect(numint);
pow_int_med = gen_fvect(numint);
avg_chan_std = gen_fvect(numchan);
std_chan_std = gen_fvect(numchan);
pow_chan_std = gen_fvect(numchan);
avg_int_std = gen_fvect(numint);
std_int_std = gen_fvect(numint);
pow_int_std = gen_fvect(numint);
chans = gen_fvect(numchan);
freqs = gen_fvect(numchan);
for (ii = 0; ii < numchan; ii++) {
chans[ii] = ii;
freqs[ii] = idata->freq + ii * idata->chan_wid;
}
ints = gen_fvect(numint);
times = gen_fvect(numint);
for (ii = 0; ii < numint; ii++) {
ints[ii] = ii;
times[ii] = 0.0 + ii * inttim;
}
/* Calculate the statistics of the full set */
ct = numchan * numint;
calc_avgmedstd(dataavg[0], ct, 0.8, 1, &dataavg_avg, &dataavg_med, &dataavg_std);
calc_avgmedstd(datastd[0], ct, 0.8, 1, &datastd_avg, &datastd_med, &datastd_std);
calc_avgmedstd(datapow[0], ct, 0.5, 1, &datapow_avg, &datapow_med, &datapow_std);
avg_reject = timesigma * dataavg_std;
std_reject = timesigma * datastd_std;
pow_reject = power_for_sigma(freqsigma, 1, ptsperint / 2);
/* Calculate the channel/integration statistics vectors */
for (ii = 0; ii < numint; ii++) {
calc_avgmedstd(dataavg[0] + ii * numchan, numchan, 0.8, 1,
avg_int_avg + ii, avg_int_med + ii, avg_int_std + ii);
calc_avgmedstd(datastd[0] + ii * numchan, numchan, 0.8, 1,
std_int_avg + ii, std_int_med + ii, std_int_std + ii);
calc_avgmedstd(datapow[0] + ii * numchan, numchan, 0.5, 1,
pow_int_avg + ii, pow_int_med + ii, pow_int_std + ii);
}
for (ii = 0; ii < numchan; ii++) {
calc_avgmedstd(dataavg[0] + ii, numint, 0.8, numchan,
avg_chan_avg + ii, avg_chan_med + ii, avg_chan_std + ii);
calc_avgmedstd(datastd[0] + ii, numint, 0.8, numchan,
std_chan_avg + ii, std_chan_med + ii, std_chan_std + ii);
calc_avgmedstd(datapow[0] + ii, numint, 0.5, numchan,
pow_chan_avg + ii, pow_chan_med + ii, pow_chan_std + ii);
/*
fprintf(stderr, "%12.7g %12.7g %12.7g %12.7g %12.7g %12.7g %12.7g %12.7g %12.7g \n",
avg_chan_avg[ii], avg_chan_med[ii], avg_chan_std[ii],
std_chan_avg[ii], std_chan_med[ii], std_chan_std[ii],
pow_chan_avg[ii], pow_chan_med[ii], pow_chan_std[ii]);
*/
}
/* Generate the byte mask */
/* Set the channels/intervals picked by the user */
if (numuserints)
for (ii = 0; ii < numuserints; ii++)
if (userints[ii] >= 0 && userints[ii] < numint)
for (jj = 0; jj < numchan; jj++)
bytemask[userints[ii]][jj] |= USERINTS;
if (numuserchan)
for (ii = 0; ii < numuserchan; ii++)
if (userchan[ii] >= 0 && userchan[ii] < numchan)
for (jj = 0; jj < numint; jj++)
bytemask[jj][userchan[ii]] |= USERCHAN;
/* Compare each point in an interval (or channel) with */
/* the interval's (or channel's) median and the overall */
/* standard deviation. If the channel/integration */
/* medians are more than sigma different than the global */
/* value, set them to the global. */
{
float int_med, chan_med;
for (ii = 0; ii < numint; ii++) {
for (jj = 0; jj < numchan; jj++) {
{ /* Powers */
if (datapow[ii][jj] > pow_reject)
if (!(bytemask[ii][jj] & PADDING))
bytemask[ii][jj] |= BAD_POW;
}
{ /* Averages */
if (fabs(avg_int_med[ii] - dataavg_med) > timesigma * dataavg_std)
int_med = dataavg_med;
else
int_med = avg_int_med[ii];
if (fabs(avg_chan_med[jj] - dataavg_med) > timesigma * dataavg_std)
chan_med = dataavg_med;
else
chan_med = avg_chan_med[jj];
if (fabs(dataavg[ii][jj] - int_med) > avg_reject ||
fabs(dataavg[ii][jj] - chan_med) > avg_reject)
if (!(bytemask[ii][jj] & PADDING))
bytemask[ii][jj] |= BAD_AVG;
}
{ /* Standard Deviations */
if (fabs(std_int_med[ii] - datastd_med) > timesigma * datastd_std)
int_med = datastd_med;
else
int_med = std_int_med[ii];
if (fabs(std_chan_med[jj] - datastd_med) > timesigma * datastd_std)
chan_med = datastd_med;
else
chan_med = std_chan_med[jj];
if (fabs(datastd[ii][jj] - int_med) > std_reject ||
fabs(datastd[ii][jj] - chan_med) > std_reject)
if (!(bytemask[ii][jj] & PADDING))
bytemask[ii][jj] |= BAD_STD;
}
}
}
}
/* Step over the intervals and channels and count how many are set "bad". */
/* For a given interval, if the number of bad channels is greater than */
/* chantrigfrac*numchan then reject the whole interval. */
/* For a given channel, if the number of bad intervals is greater than */
/* inttrigfrac*numint then reject the whole channel. */
{
int badnum, trignum;
/* Loop over the intervals */
trignum = (int) (numchan * chantrigfrac);
for (ii = 0; ii < numint; ii++) {
if (!(bytemask[ii][0] & USERINTS)) {
badnum = 0;
for (jj = 0; jj < numchan; jj++)
if (bytemask[ii][jj] & BADDATA)
badnum++;
if (badnum > trignum) {
userints[numuserints++] = ii;
for (jj = 0; jj < numchan; jj++)
bytemask[ii][jj] |= USERINTS;
}
}
}
/* Loop over the channels */
trignum = (int) (numint * inttrigfrac);
for (ii = 0; ii < numchan; ii++) {
if (!(bytemask[0][ii] & USERCHAN)) {
badnum = 0;
for (jj = 0; jj < numint; jj++)
if (bytemask[jj][ii] & BADDATA)
badnum++;
if (badnum > trignum) {
userchan[numuserchan++] = ii;
for (jj = 0; jj < numint; jj++)
bytemask[jj][ii] |= USERCHAN;
}
}
}
}
/* Generate the New Mask */
fill_mask(timesigma, freqsigma, idata->mjd_i + idata->mjd_f,
ptsperint * idata->dt, idata->freq, idata->chan_wid,
numchan, numint, ptsperint, numuserchan, userchan,
numuserints, userints, bytemask, newmask);
/* Place the oldmask over the newmask for plotting purposes */
if (oldmask->numchan)
set_oldmask_bits(oldmask, bytemask);
/*
* Now plot the results
*/
if (xwin)
loops = 2;
for (ct = 0; ct < loops; ct++) { /* PS/XWIN Plot Loop */
float min, max, tr[6], locut, hicut;
float left, right, top, bottom;
float xl, xh, yl, yh;
float tt, ft, th, fh; /* thin and fat thicknesses and heights */
float lm, rm, tm, bm; /* LRTB margins */
float xarr[2], yarr[2];
char outdev[100];
int ii, mincol, maxcol, numcol;
/*Set the PGPLOT device to an X-Window */
if (ct == 1)
strcpy(outdev, "/XWIN");
else
sprintf(outdev, "%s.ps/CPS", idata->name);
/* Open and prep our device */
cpgopen(outdev);
cpgpap(10.25, 8.5 / 11.0);
cpgpage();
cpgiden();
cpgsch(0.7);
cpgqcir(&mincol, &maxcol);
numcol = maxcol - mincol + 1;
for (ii = mincol; ii <= maxcol; ii++) {
float color;
color = (float) (maxcol - ii) / (float) numcol;
cpgscr(ii, color, color, color);
}
/* Set thicknesses and margins */
lm = 0.04;
rm = 0.04;
bm = 0.08;
tm = 0.05;
ft = 3.0; /* This sets fat thickness = 3 x thin thickness */
tt = 0.92 / (6.0 + 4.0 * ft);
ft *= tt;
fh = 0.55;
th = tt * 11.0 / 8.5;
{ /* Powers Histogram */
float *theo, *hist, *hpows, *tpows, maxhist = 0.0, maxtheo = 0.0;
int numhist = 40, numtheo = 200, bin, numpows;
double dtheo, dhist, spacing;
/* Calculate the predicted distribution of max powers */
numpows = numint * numchan;
find_min_max_arr(numpows, datapow[0], &min, &max);
min = (min < 5.0) ? log10(5.0 * 0.95) : log10(min * 0.95);
max = log10(max * 1.05);
dhist = (max - min) / numhist;
theo = gen_fvect(numtheo);
tpows = gen_fvect(numtheo);
hist = gen_fvect(numhist);
hpows = gen_fvect(numhist);
for (ii = 0; ii < numhist; ii++) {
hist[ii] = 0.0;
hpows[ii] = min + ii * dhist;
}
for (ii = 0; ii < numpows; ii++) {
bin = (*(datapow[0] + ii) == 0.0) ? 0 :
(log10(*(datapow[0] + ii)) - min) / dhist;
if (bin < 0)
bin = 0;
if (bin >= numhist)
bin = numhist;
hist[bin] += 1.0;
}
for (ii = 0; ii < numhist; ii++)
if (hist[ii] > maxhist)
maxhist = hist[ii];
maxhist *= 1.1;
dtheo = (max - min) / (double) (numtheo - 1);
for (ii = 0; ii < numtheo; ii++) {
tpows[ii] = min + ii * dtheo;
theo[ii] = single_power_pdf(pow(10.0, tpows[ii]),
ptsperint / 2) * numpows;
spacing = (pow(10.0, tpows[ii] + dhist) - pow(10.0, tpows[ii]));
theo[ii] *= spacing;
if (theo[ii] > maxtheo)
maxtheo = theo[ii];
}
maxtheo *= 1.1;
if (maxtheo > maxhist)
maxhist = maxtheo;
left = lm;
right = lm + ft + tt;
bottom = 0.80;
top = 0.96;
cpgsvp(left, right, bottom, top);
xl = min;
xh = max;
yl = 0.0;
yh = maxhist;
cpgswin(xl, xh, yl, yh);
cpgmtxt("L", 1.1, 0.5, 0.5, "Number");
cpgmtxt("B", 2.1, 0.5, 0.5, "Max Power");
cpgbin(numhist, hpows, hist, 0);
cpgscr(maxcol, 0.5, 0.5, 0.5);
cpgsci(maxcol); /* Grey */
cpgline(numtheo, tpows, theo);
xarr[0] = log10(power_for_sigma(freqsigma, 1, ptsperint / 2));
xarr[1] = xarr[0];
yarr[0] = yl;
yarr[1] = yh;
cpgsls(4); /* Dotted line */
cpgscr(maxcol, 1.0, 0.0, 0.0);
cpgsci(maxcol); /* Red */
cpgline(2, xarr, yarr);
cpgsls(1); /* Solid line */
cpgsci(1); /* Default color */
cpgbox("BCLNST", 0.0, 0, "BC", 0.0, 0);
vect_free(hist);
vect_free(theo);
vect_free(tpows);
vect_free(hpows);
}
/* Maximum Powers */
left = lm;
right = lm + ft;
bottom = bm;
top = bm + fh;
xl = 0.0;
xh = numchan;
yl = 0.0;
yh = T;
cpgsvp(left, right, bottom, top);
cpgswin(xl, xh, yl, yh);
cpgscr(maxcol, 1.0, 0.0, 0.0); /* Red */
locut = 0.0;
hicut = pow_reject;
tr[2] = tr[4] = 0.0;
tr[1] = (xh - xl) / numchan;
tr[0] = xl - (tr[1] / 2);
tr[5] = (yh - yl) / numint;
tr[3] = yl - (tr[5] / 2);
cpgimag(datapow[0], numchan, numint, 1, numchan, 1, numint, locut, hicut, tr);
cpgswin(xl, xh, yl, yh);
cpgbox("BNST", 0.0, 0, "BNST", 0.0, 0);
cpgmtxt("B", 2.6, 0.5, 0.5, "Channel");
cpgmtxt("L", 2.1, 0.5, 0.5, "Time (s)");
xl = lof;
xh = hif;
yl = 0.0;
yh = numint;
cpgswin(xl, xh, yl, yh);
cpgbox("CST", 0.0, 0, "CST", 0.0, 0);
/* Max Power Label */
left = lm + ft;
right = lm + ft + tt;
bottom = bm + fh;
top = bm + fh + th;
cpgsvp(left, right, bottom, top);
cpgswin(0.0, 1.0, 0.0, 1.0);
cpgscr(maxcol, 1.0, 0.0, 0.0);
cpgsci(maxcol); /* Red */
cpgptxt(0.5, 0.7, 0.0, 0.5, "Max");
cpgptxt(0.5, 0.3, 0.0, 0.5, "Power");
cpgsci(1); /* Default color */
/* Max Power versus Time */
left = lm + ft;
right = lm + ft + tt;
bottom = bm;
top = bm + fh;
cpgsvp(left, right, bottom, top);
find_min_max_arr(numint, pow_int_med, &min, &max);
xl = 0.0;
xh = 1.5 * pow_reject;
yl = 0.0;
yh = T;
cpgswin(xl, xh, yl, yh);
cpgbox("BCST", 0.0, 0, "BST", 0.0, 0);
cpgscr(maxcol, 1.0, 0.0, 0.0);
cpgsci(maxcol); /* Red */
yarr[0] = yl;
yarr[1] = yh;
xarr[0] = xarr[1] = datapow_med;
cpgline(2, xarr, yarr);
cpgsls(4); /* Dotted line */
xarr[0] = xarr[1] = pow_reject;
cpgline(2, xarr, yarr);
cpgsls(1); /* Solid line */
cpgsci(1); /* Default color */
cpgline(numint, pow_int_med, times);
yl = 0.0;
yh = numint;
cpgswin(xl, xh, yl, yh);
cpgbox("", 0.0, 0, "CMST", 0.0, 0);
/* cpgmtxt("R", 2.3, 0.5, 0.5, "Interval Number"); */
/* Max Power versus Channel */
left = lm;
right = lm + ft;
bottom = bm + fh;
top = bm + fh + th;
cpgsvp(left, right, bottom, top);
find_min_max_arr(numchan, pow_chan_med, &min, &max);
xl = 0.0;
xh = numchan;
yl = 0.0;
yh = 1.5 * pow_reject;
cpgswin(xl, xh, yl, yh);
cpgbox("BST", 0.0, 0, "BCST", 0.0, 0);
cpgscr(maxcol, 1.0, 0.0, 0.0);
cpgsci(maxcol); /* Red */
xarr[0] = xl;
xarr[1] = xh;
yarr[0] = yarr[1] = datapow_med;
cpgline(2, xarr, yarr);
cpgsls(4); /* Dotted line */
yarr[0] = yarr[1] = pow_reject;
cpgline(2, xarr, yarr);
cpgsls(1); /* Solid line */
cpgsci(1); /* Default color */
cpgline(numchan, chans, pow_chan_med);
xl = lof;
xh = hif;
cpgswin(xl, xh, yl, yh);
cpgbox("CMST", 0.0, 0, "", 0.0, 0);
cpgmtxt("T", 1.8, 0.5, 0.5, "Frequency (MHz)");
/* Standard Deviations */
left = lm + ft + 2.0 * tt;
right = lm + 2.0 * ft + 2.0 * tt;
bottom = bm;
top = bm + fh;
xl = 0.0;
xh = numchan;
yl = 0.0;
yh = T;
cpgsvp(left, right, bottom, top);
cpgswin(xl, xh, yl, yh);
cpgscr(mincol, 0.7, 1.0, 0.7); /* Light Green */
cpgscr(maxcol, 0.3, 1.0, 0.3); /* Dark Green */
locut = datastd_med - timesigma * datastd_std;
hicut = datastd_med + timesigma * datastd_std;
tr[2] = tr[4] = 0.0;
tr[1] = (xh - xl) / numchan;
tr[0] = xl - (tr[1] / 2);
tr[5] = (yh - yl) / numint;
tr[3] = yl - (tr[5] / 2);
cpgimag(datastd[0], numchan, numint, 1, numchan, 1, numint, locut, hicut, tr);
cpgswin(xl, xh, yl, yh);
cpgbox("BNST", 0.0, 0, "BNST", 0.0, 0);
cpgmtxt("B", 2.6, 0.5, 0.5, "Channel");
xl = lof;
xh = hif;
yl = 0.0;
yh = numint;
cpgswin(xl, xh, yl, yh);
cpgbox("CST", 0.0, 0, "CST", 0.0, 0);
/* Data Sigma Label */
left = lm + 2.0 * ft + 2.0 * tt;
right = lm + 2.0 * ft + 3.0 * tt;
bottom = bm + fh;
top = bm + fh + th;
cpgsvp(left, right, bottom, top);
cpgswin(0.0, 1.0, 0.0, 1.0);
cpgscr(maxcol, 0.0, 1.0, 0.0);
cpgsci(maxcol); /* Green */
cpgptxt(0.5, 0.7, 0.0, 0.5, "Data");
cpgptxt(0.5, 0.3, 0.0, 0.5, "Sigma");
cpgsci(1); /* Default color */
/* Data Sigma versus Time */
left = lm + 2.0 * ft + 2.0 * tt;
right = lm + 2.0 * ft + 3.0 * tt;
bottom = bm;
top = bm + fh;
cpgsvp(left, right, bottom, top);
xl = datastd_med - 2.0 * std_reject;
xh = datastd_med + 2.0 * std_reject;
yl = 0.0;
yh = T;
cpgswin(xl, xh, yl, yh);
cpgbox("BCST", 0.0, 0, "BST", 0.0, 0);
cpgscr(maxcol, 0.0, 1.0, 0.0);
cpgsci(maxcol); /* Green */
yarr[0] = yl;
yarr[1] = yh;
xarr[0] = xarr[1] = datastd_med;
cpgline(2, xarr, yarr);
cpgsls(4); /* Dotted line */
xarr[0] = xarr[1] = datastd_med + std_reject;
cpgline(2, xarr, yarr);
xarr[0] = xarr[1] = datastd_med - std_reject;
cpgline(2, xarr, yarr);
cpgsls(1); /* Solid line */
cpgsci(1); /* Default color */
cpgline(numint, std_int_med, times);
yl = 0.0;
yh = numint;
cpgswin(xl, xh, yl, yh);
cpgbox("", 0.0, 0, "CMST", 0.0, 0);
/* cpgmtxt("R", 2.3, 0.5, 0.5, "Interval Number"); */
/* Data Sigma versus Channel */
left = lm + ft + 2.0 * tt;
right = lm + 2.0 * ft + 2.0 * tt;
bottom = bm + fh;
top = bm + fh + th;
cpgsvp(left, right, bottom, top);
xl = 0.0;
xh = numchan;
yl = datastd_med - 2.0 * std_reject;
yh = datastd_med + 2.0 * std_reject;
cpgswin(xl, xh, yl, yh);
cpgbox("BST", 0.0, 0, "BCST", 0.0, 0);
cpgscr(maxcol, 0.0, 1.0, 0.0);
cpgsci(maxcol); /* Green */
xarr[0] = xl;
xarr[1] = xh;
yarr[0] = yarr[1] = datastd_med;
cpgline(2, xarr, yarr);
cpgsls(4); /* Dotted line */
yarr[0] = yarr[1] = datastd_med + std_reject;
cpgline(2, xarr, yarr);
yarr[0] = yarr[1] = datastd_med - std_reject;
cpgline(2, xarr, yarr);
cpgsls(1); /* Solid line */
cpgsci(1); /* Default color */
cpgline(numchan, chans, std_chan_med);
xl = lof;
xh = hif;
cpgswin(xl, xh, yl, yh);
cpgbox("CMST", 0.0, 0, "", 0.0, 0);
cpgmtxt("T", 1.8, 0.5, 0.5, "Frequency (MHz)");
/* Data Mean */
left = lm + 2.0 * ft + 4.0 * tt;
right = lm + 3.0 * ft + 4.0 * tt;
bottom = bm;
top = bm + fh;
xl = 0.0;
xh = numchan;
yl = 0.0;
yh = T;
cpgsvp(left, right, bottom, top);
cpgswin(xl, xh, yl, yh);
cpgscr(mincol, 0.7, 0.7, 1.0); /* Light Blue */
cpgscr(maxcol, 0.3, 0.3, 1.0); /* Dark Blue */
locut = dataavg_med - timesigma * dataavg_std;
hicut = dataavg_med + timesigma * dataavg_std;
tr[2] = tr[4] = 0.0;
tr[1] = (xh - xl) / numchan;
tr[0] = xl - (tr[1] / 2);
tr[5] = (yh - yl) / numint;
tr[3] = yl - (tr[5] / 2);
cpgimag(dataavg[0], numchan, numint, 1, numchan, 1, numint, locut, hicut, tr);
cpgswin(xl, xh, yl, yh);
cpgbox("BNST", 0.0, 0, "BNST", 0.0, 0);
cpgmtxt("B", 2.6, 0.5, 0.5, "Channel");
xl = lof;
xh = hif;
yl = 0.0;
yh = numint;
cpgswin(xl, xh, yl, yh);
cpgbox("CST", 0.0, 0, "CST", 0.0, 0);
/* Data Mean Label */
left = lm + 3.0 * ft + 4.0 * tt;
right = lm + 3.0 * ft + 5.0 * tt;
bottom = bm + fh;
top = bm + fh + th;
cpgsvp(left, right, bottom, top);
cpgswin(0.0, 1.0, 0.0, 1.0);
cpgscr(maxcol, 0.0, 0.0, 1.0);
cpgsci(maxcol); /* Blue */
cpgptxt(0.5, 0.7, 0.0, 0.5, "Data");
cpgptxt(0.5, 0.3, 0.0, 0.5, "Mean");
cpgsci(1); /* Default color */
/* Data Mean versus Time */
left = lm + 3.0 * ft + 4.0 * tt;
right = lm + 3.0 * ft + 5.0 * tt;
bottom = bm;
top = bm + fh;
cpgsvp(left, right, bottom, top);
xl = dataavg_med - 2.0 * avg_reject;
xh = dataavg_med + 2.0 * avg_reject;
yl = 0.0;
yh = T;
cpgswin(xl, xh, yl, yh);
cpgbox("BCST", 0.0, 0, "BST", 0.0, 0);
cpgscr(maxcol, 0.0, 0.0, 1.0);
cpgsci(maxcol); /* Blue */
yarr[0] = yl;
yarr[1] = yh;
xarr[0] = xarr[1] = dataavg_med;
cpgline(2, xarr, yarr);
cpgsls(4); /* Dotted line */
xarr[0] = xarr[1] = dataavg_med + avg_reject;
cpgline(2, xarr, yarr);
xarr[0] = xarr[1] = dataavg_med - avg_reject;
cpgline(2, xarr, yarr);
cpgsls(1); /* Solid line */
cpgsci(1); /* Default color */
cpgline(numint, avg_int_med, times);
yl = 0.0;
yh = numint;
cpgswin(xl, xh, yl, yh);
cpgbox("", 0.0, 0, "CMST", 0.0, 0);
/* Data Mean versus Channel */
left = lm + 2.0 * ft + 4.0 * tt;
right = lm + 3.0 * ft + 4.0 * tt;
bottom = bm + fh;
top = bm + fh + th;
cpgsvp(left, right, bottom, top);
xl = 0.0;
xh = numchan;
yl = dataavg_med - 2.0 * avg_reject;
yh = dataavg_med + 2.0 * avg_reject;
cpgswin(xl, xh, yl, yh);
cpgbox("BST", 0.0, 0, "BCST", 0.0, 0);
cpgscr(maxcol, 0.0, 0.0, 1.0);
cpgsci(maxcol); /* Blue */
xarr[0] = xl;
xarr[1] = xh;
yarr[0] = yarr[1] = dataavg_med;
cpgline(2, xarr, yarr);
cpgsls(4); /* Dotted line */
yarr[0] = yarr[1] = dataavg_med + avg_reject;
cpgline(2, xarr, yarr);
yarr[0] = yarr[1] = dataavg_med - avg_reject;
cpgline(2, xarr, yarr);
cpgsls(1); /* Solid line */
cpgsci(1); /* Default color */
cpgline(numchan, chans, avg_chan_med);
xl = lof;
xh = hif;
cpgswin(xl, xh, yl, yh);
cpgbox("CMST", 0.0, 0, "", 0.0, 0);
cpgmtxt("T", 1.8, 0.5, 0.5, "Frequency (MHz)");
{ /* Add the Data Info area */
char out[200], out2[100];
float dy = 0.025;
cpgsvp(0.0, 1.0, 0.0, 1.0);
cpgswin(0.0, 1.0, 0.0, 1.0);
left = lm + ft + 1.5 * tt;
top = 1.0 - tm;
cpgsch(1.0);
sprintf(out, "%-s", idata->name);
cpgptxt(0.5, 1.0 - 0.5 * tm, 0.0, 0.5, out);
cpgsch(0.8);
sprintf(out, "Object:");
cpgtext(left + 0.0, top - 0 * dy, out);
sprintf(out, "%-s", idata->object);
cpgtext(left + 0.1, top - 0 * dy, out);
sprintf(out, "Telescope:");
cpgtext(left + 0.0, top - 1 * dy, out);
sprintf(out, "%-s", idata->telescope);
cpgtext(left + 0.1, top - 1 * dy, out);
sprintf(out, "Instrument:");
cpgtext(left + 0.0, top - 2 * dy, out);
sprintf(out, "%-s", idata->instrument);
cpgtext(left + 0.1, top - 2 * dy, out);
ra_dec_to_string(out2, idata->ra_h, idata->ra_m, idata->ra_s);
sprintf(out, "RA\\dJ2000\\u");
cpgtext(left + 0.0, top - 3 * dy, out);
sprintf(out, "= %-s", out2);
cpgtext(left + 0.08, top - 3 * dy, out);
ra_dec_to_string(out2, idata->dec_d, idata->dec_m, idata->dec_s);
sprintf(out, "DEC\\dJ2000\\u");
cpgtext(left + 0.0, top - 4 * dy, out);
sprintf(out, "= %-s", out2);
cpgtext(left + 0.08, top - 4 * dy, out);
sprintf(out, "Epoch\\dtopo\\u");
cpgtext(left + 0.0, top - 5 * dy, out);
sprintf(out, "= %-.11f", idata->mjd_i + idata->mjd_f);
cpgtext(left + 0.08, top - 5 * dy, out);
sprintf(out, "T\\dsample\\u (s)");
cpgtext(left + 0.0, top - 6 * dy, out);
sprintf(out, "= %g", idata->dt);
cpgtext(left + 0.08, top - 6 * dy, out);
sprintf(out, "T\\dtotal\\u (s)");
cpgtext(left + 0.0, top - 7 * dy, out);
sprintf(out, "= %g", T);
cpgtext(left + 0.08, top - 7 * dy, out);
left = lm + ft + 7.8 * tt;
sprintf(out, "Num channels");
cpgtext(left + 0.0, top - 0 * dy, out);
sprintf(out, "= %-d", numchan);
cpgtext(left + 0.12, top - 0 * dy, out);
sprintf(out, "Pts per int");
cpgtext(left + 0.19, top - 0 * dy, out);
sprintf(out, "= %-d", ptsperint);
cpgtext(left + 0.29, top - 0 * dy, out);
sprintf(out, "Num intervals");
cpgtext(left + 0.0, top - 1 * dy, out);
sprintf(out, "= %-d", numint);
cpgtext(left + 0.12, top - 1 * dy, out);
sprintf(out, "Time per int");
cpgtext(left + 0.19, top - 1 * dy, out);
sprintf(out, "= %-g", inttim);
cpgtext(left + 0.29, top - 1 * dy, out);
sprintf(out, "Power:");
cpgtext(left + 0.0, top - 2 * dy, out);
sprintf(out, "median");
cpgtext(left + 0.06, top - 2 * dy, out);
sprintf(out, "= %-.3f", datapow_med);
cpgtext(left + 0.12, top - 2 * dy, out);
sprintf(out, "\\gs");
cpgtext(left + 0.21, top - 2 * dy, out);
sprintf(out, "= %-.3g", datapow_std);
cpgtext(left + 0.245, top - 2 * dy, out);
find_min_max_arr(numint * numchan, datapow[0], &min, &max);
sprintf(out, "min");
cpgtext(left + 0.06, top - 3 * dy, out);
sprintf(out, "= %-.3f", min);
cpgtext(left + 0.12, top - 3 * dy, out);
sprintf(out, "max");
cpgtext(left + 0.21, top - 3 * dy, out);
sprintf(out, "= %-.3f", max);
cpgtext(left + 0.245, top - 3 * dy, out);
sprintf(out, "Sigma:");
cpgtext(left + 0.0, top - 4 * dy, out);
sprintf(out, "median");
cpgtext(left + 0.06, top - 4 * dy, out);
sprintf(out, "= %-.3f", datastd_med);
cpgtext(left + 0.12, top - 4 * dy, out);
sprintf(out, "\\gs");
cpgtext(left + 0.21, top - 4 * dy, out);
sprintf(out, "= %-.3g", datastd_std);
cpgtext(left + 0.245, top - 4 * dy, out);
find_min_max_arr(numint * numchan, datastd[0], &min, &max);
sprintf(out, "min");
cpgtext(left + 0.06, top - 5 * dy, out);
sprintf(out, "= %-.3f", min);
cpgtext(left + 0.12, top - 5 * dy, out);
sprintf(out, "max");
cpgtext(left + 0.21, top - 5 * dy, out);
sprintf(out, "= %-.3f", max);
cpgtext(left + 0.245, top - 5 * dy, out);
sprintf(out, "Mean:");
cpgtext(left + 0.0, top - 6 * dy, out);
sprintf(out, "median");
cpgtext(left + 0.06, top - 6 * dy, out);
sprintf(out, "= %-.3f", dataavg_med);
cpgtext(left + 0.12, top - 6 * dy, out);
sprintf(out, "\\gs");
cpgtext(left + 0.21, top - 6 * dy, out);
sprintf(out, "= %-.3g", dataavg_std);
cpgtext(left + 0.245, top - 6 * dy, out);
find_min_max_arr(numint * numchan, dataavg[0], &min, &max);
sprintf(out, "min");
cpgtext(left + 0.06, top - 7 * dy, out);
sprintf(out, "= %-.3f", min);
cpgtext(left + 0.12, top - 7 * dy, out);
sprintf(out, "max");
cpgtext(left + 0.21, top - 7 * dy, out);
sprintf(out, "= %-.3f", max);
cpgtext(left + 0.245, top - 7 * dy, out);
}
{ /* Plot the Mask */
unsigned char byte;
char temp[200];
float **plotmask, rr, gg, bb, page;
plotmask = gen_fmatrix(numint, numchan);
for (ii = 0; ii < numint; ii++) {
for (jj = 0; jj < numchan; jj++) {
byte = bytemask[ii][jj];
plotmask[ii][jj] = 0.0;
if (byte & PADDING)
plotmask[ii][jj] = 1.0;
if (byte & OLDMASK)
plotmask[ii][jj] = 2.0;
if (byte & USERZAP)
plotmask[ii][jj] = 3.0;
if (byte & BAD_POW)
plotmask[ii][jj] = 4.0;
else if (byte & BAD_AVG)
plotmask[ii][jj] = 5.0;
else if (byte & BAD_STD)
plotmask[ii][jj] = 6.0;
}
}
/* Set the colors */
numcol = 7;
maxcol = mincol + numcol - 1;
cpgscir(mincol, maxcol);
cpgqcr(0, &rr, &gg, &bb);
cpgscr(mincol + 0, rr, gg, bb); /* GOODDATA = background */
cpgscr(mincol + 1, 0.7, 0.7, 0.7); /* PADDING = light grey */
cpgscr(mincol + 2, 0.3, 0.3, 0.3); /* OLDMASK = dark grey */
cpgqcr(1, &rr, &gg, &bb);
cpgscr(mincol + 3, rr, gg, bb); /* USERZAP = foreground */
cpgscr(mincol + 4, 1.0, 0.0, 0.0); /* BAD+POW = red */
cpgscr(mincol + 5, 0.0, 0.0, 1.0); /* BAD+AVG = blue */
cpgscr(mincol + 6, 0.0, 1.0, 0.0); /* BAD+STD = green */
/* Prep the image */
for (page = 0; page <= 1; page++) {
xl = 0.0;
xh = numchan;
yl = 0.0;
yh = T;
locut = 0.0;
hicut = 6.0;
tr[2] = tr[4] = 0.0;
tr[1] = (xh - xl) / numchan;
tr[0] = xl - (tr[1] / 2);
tr[5] = (yh - yl) / numint;
tr[3] = yl - (tr[5] / 2);
if (page == 0) {
left = lm + 3.0 * ft + 6.0 * tt;
right = lm + 4.0 * ft + 6.0 * tt;
bottom = bm;
top = bm + fh;
} else {
cpgpage();
cpgiden();
left = 0.06;
right = 0.94;
bottom = 0.06;
top = 0.88;
}
cpgsvp(left, right, bottom, top);
cpgswin(xl, xh, yl, yh);
cpgimag(plotmask[0], numchan, numint, 1,
numchan, 1, numint, locut, hicut, tr);
cpgswin(xl, xh, yl, yh);
cpgbox("BNST", 0.0, 0, "BNST", 0.0, 0);
cpgmtxt("B", 2.6, 0.5, 0.5, "Channel");
if (page)
cpgmtxt("L", 2.1, 0.5, 0.5, "Time (s)");
xl = lof;
xh = hif;
yl = 0.0;
yh = numint;
cpgswin(xl, xh, yl, yh);
cpgbox("CMST", 0.0, 0, "CMST", 0.0, 0);
cpgmtxt("T", 1.8, 0.5, 0.5, "Frequency (MHz)");
cpgmtxt("R", 2.3, 0.5, 0.5, "Interval Number");
/* Add the Labels */
cpgsvp(0.0, 1.0, 0.0, 1.0);
cpgswin(0.0, 1.0, 0.0, 1.0);
cpgsch(0.8);
if (page == 0) {
cpgsci(mincol + 1);
cpgptxt(left, top + 0.1, 0.0, 0.0, "Padding");
cpgsci(mincol + 2);
cpgptxt(left, top + 0.08, 0.0, 0.0, "Old Mask");
cpgsci(mincol + 3);
cpgptxt(left, top + 0.06, 0.0, 0.0, "User Zap");
cpgsci(mincol + 4);
cpgptxt(right, top + 0.1, 0.0, 1.0, "Power");
cpgsci(mincol + 6);
cpgptxt(right, top + 0.08, 0.0, 1.0, "Sigma");
cpgsci(mincol + 5);
cpgptxt(right, top + 0.06, 0.0, 1.0, "Mean");
cpgsci(1);
} else {
cpgsci(mincol + 1);
cpgptxt(1.0 / 12.0, 0.955, 0.0, 0.5, "Padding");
cpgsci(mincol + 2);
cpgptxt(3.0 / 12.0, 0.955, 0.0, 0.5, "Old Mask");
cpgsci(mincol + 3);
cpgptxt(5.0 / 12.0, 0.955, 0.0, 0.5, "User Zap");
cpgsci(mincol + 4);
cpgptxt(7.0 / 12.0, 0.955, 0.0, 0.5, "Max Power");
cpgsci(mincol + 6);
cpgptxt(9.0 / 12.0, 0.955, 0.0, 0.5, "Data Sigma");
cpgsci(mincol + 5);
cpgptxt(11.0 / 12.0, 0.955, 0.0, 0.5, "Data Mean");
cpgsci(1);
cpgsch(0.9);
sprintf(temp, "Recommended Mask for '%-s'", idata->name);
cpgptxt(0.5, 0.985, 0.0, 0.5, temp);
}
}
vect_free(plotmask[0]);
vect_free(plotmask);
}
if (ct == 0)
printf("There are %d RFI instances.\n\n", numrfi);
if ((ct == 0 && rfips) || (ct == 1 && rfixwin)) { /* Plot the RFI instances */
int maxcol, mincol, numperpage = 25, numtoplot;
float dy = 0.035, top = 0.95, rr, gg, bb;
char temp[200];
qsort(rfivect, numrfi, sizeof(rfi), compare_rfi_freq);
/* qsort(rfivect, numrfi, sizeof(rfi), compare_rfi_sigma); */
for (ii = 0; ii <= (numrfi - 1) / numperpage; ii++) {
cpgpage();
cpgiden();
cpgsvp(0.0, 1.0, 0.0, 1.0);
cpgswin(0.0, 1.0, 0.0, 1.0);
cpgsch(0.8);
sprintf(temp, "%-s", idata->name);
cpgtext(0.05, 0.985, temp);
cpgsch(0.6);
sprintf(temp, "Freq (Hz)");
cpgptxt(0.03, 0.96, 0.0, 0.0, temp);
sprintf(temp, "Period (ms)");
cpgptxt(0.12, 0.96, 0.0, 0.0, temp);
sprintf(temp, "Sigma");
cpgptxt(0.21, 0.96, 0.0, 0.0, temp);
sprintf(temp, "Number");
cpgptxt(0.27, 0.96, 0.0, 0.0, temp);
cpgsvp(0.33, 0.64, top - dy, top);
cpgswin(lof, hif, 0.0, 1.0);
cpgbox("CIMST", 0.0, 0, "", 0.0, 0);
cpgmtxt("T", 2.5, 0.5, 0.5, "Frequency (MHz)");
cpgsvp(0.65, 0.96, top - dy, top);
cpgswin(0.0, T, 0.0, 1.0);
cpgbox("CIMST", 0.0, 0, "", 0.0, 0);
cpgmtxt("T", 2.5, 0.5, 0.5, "Time (s)");
cpgqcir(&mincol, &maxcol);
maxcol = mincol + 1;
cpgscir(mincol, maxcol);
cpgqcr(0, &rr, &gg, &bb);
cpgscr(mincol, rr, gg, bb); /* background */
cpgqcr(1, &rr, &gg, &bb);
/* cpgscr(maxcol, rr, gg, bb); foreground */
cpgscr(maxcol, 0.5, 0.5, 0.5); /* grey */
if (ii == (numrfi - 1) / numperpage)
numtoplot = numrfi % numperpage;
else
numtoplot = numperpage;
for (jj = 0; jj < numtoplot; jj++)
plot_rfi(rfivect + ii * numperpage + jj,
top - jj * dy, numint, numchan, T, lof, hif);
cpgsvp(0.33, 0.64, top - jj * dy, top - (jj - 1) * dy);
cpgswin(0.0, numchan, 0.0, 1.0);
cpgbox("BINST", 0.0, 0, "", 0.0, 0);
cpgmtxt("B", 2.5, 0.5, 0.5, "Channel");
cpgsvp(0.65, 0.96, top - jj * dy, top - (jj - 1) * dy);
cpgswin(0.0, numint, 0.0, 1.0);
cpgbox("BINST", 0.0, 0, "", 0.0, 0);
cpgmtxt("B", 2.5, 0.5, 0.5, "Interval");
}
}
cpgclos();
} /* Plot for loop */
/* Free our arrays */
vect_free(freqs);
vect_free(chans);
vect_free(times);
vect_free(ints);
vect_free(avg_chan_avg);
vect_free(std_chan_avg);
vect_free(pow_chan_avg);
vect_free(avg_int_avg);
vect_free(std_int_avg);
vect_free(pow_int_avg);
vect_free(avg_chan_med);
vect_free(std_chan_med);
vect_free(pow_chan_med);
vect_free(avg_int_med);
vect_free(std_int_med);
vect_free(pow_int_med);
vect_free(avg_chan_std);
vect_free(std_chan_std);
vect_free(pow_chan_std);
vect_free(avg_int_std);
vect_free(std_int_std);
vect_free(pow_int_std);
}
/*
* Class: pulsarhunter_PgplotInterface
* Method: pgclose
* Signature: ()V
*/
JNIEXPORT void JNICALL Java_pulsarhunter_PgplotInterface_pgclose
(JNIEnv *env, jclass cl){
cpgclos();
}
int main(int argc, char **argv) {
float lm, hm;
int ID;
float x1, y1, x2, y2;
char ch;
char filename[1024];
int enhanceid = -1;
int sectionmode = LON;
int histmode = DEP;
float binw = 10.0;
reset(&mainset);
load(&mainset);
rangeadjust(&control, &mainset, NULL, NULL, NULL, NULL);
ID = cpgopen("/xwindow");
resizemax(0.85);
cpgask(0);
/*
* This a bug-fix for the gmt command that outputs the borders wrapped.
*/
int i;
for(i=0; i < nborders; i++)
if (borders[i][0] != -999 && borders[i][0] > 180)
borders[i][0] = borders[i][0] - 360.0;
lm = hm = -1.0;
while (ch != 'Q') {
if (control.printout) {
lerchar("Entre com o nome do arquivo", filename, 1000);
if (strlen(filename) == 0) {
strcpy(message, "Nome invalido.");
alert(ERROR);
control.printout = 0;
} else {
if (strlen(filename) < 3 || strncasecmp( &filename[strlen(filename)-3], ".ps", 3) != 0) {
sprintf(filename,"%s.ps/cps",filename);
} else {
sprintf(filename,"%s/cps",filename);
}
cpgopen(filename);
cpgask(0);
}
}
plot(&control, &mainset);
if (control.printout == 0 && enhanceid != -1) {
enhanceid = enhance(&control, &mainset, enhanceid);
}
if (mainset.region) {
plotsection(&mainset, &control, sectionmode);
plothistogram(&mainset, binw, histmode, lm, hm);
}
if (control.printout) {
cpgclos();
cpgslct(ID);
control.printout = 0;
filename[strlen(filename) - 4] = '\0';
sprintf(message, "Print Out saved to file %s", filename);
alert(INFO);
continue;
}
// Restore default map position
cpgsvp(0.07, 0.93, 0.35, 0.9);
cpgswin(control.xmin, control.xmax, control.ymin, control.ymax);
ch = getonechar(&x1, &y1, 0);
switch(ch) {
case('='): {
control.printout = 1;
break;
}
case('R'): {
reset(&mainset);
load(&mainset);
break;
}
case('B'): {
binw = lerfloat("Entre com o valor da largura do bin?");
break;
}
case('A'): {
enhanceid = findpt(&mainset, x1, y1);
break;
}
case('2'): {
control.hasplates = (control.hasplates == 1) ? 0 : 1;
break;
}
case('1'): {
control.hascontinents++;
if (control.hascontinents > 2) control.hascontinents = 0;
break;
}
case ('W'): {
control.xmax = 180;
control.xmin = -180;
control.ymax = 90;
control.ymin = -90;
break;
}
case('0'): {
mainset.lon1 = -180;
mainset.lon2 = 180;
mainset.lat1 = -90;
mainset.lat2 = 90;
load(&mainset);
mainset.region = 0;
break;
}
case ('L'): {
sectionmode = (sectionmode == LAT) ? LON : LAT;
break;
}
case ('H'): {
histmode = (histmode == MAG) ? DEP : MAG;
binw = (histmode == MAG) ? 0.1 : 10.0;
break;
}
case ('S'): {
x2 = x1;
y2 = y1;
getonechar(&x2, &y2, 1);
order(&x1,&x2);
order(&y1,&y2);
mainset.lon1 = x1;
mainset.lon2 = x2;
mainset.lat1 = y1;
mainset.lat2 = y2;
load(&mainset);
mainset.region = 1;
break;
}
case('X'): { // ZOOM
x2 = x1;
y2 = y1;
getonechar(&x2, &y2, 1);
order(&x1,&x2);
order(&y1,&y2);
rangeadjust(&control, &mainset, &x1, &x2, &y1, &y2);
break;
}
case('C'): { // Color mode
control.colormode ++;
if (control.colormode>COLORMAG) control.colormode = COLORNONE;
break;
}
case('N'): { /* Ano */
int y1, y2;
y1 = lerint("Entre com ano inicial?");
y2 = lerint("Entre com ano final?");
orderint(&y1,&y2);
mainset.y1 = y1;
mainset.y2 = y2;
load(&mainset);
break;
}
case('M'): { /* Magnitude */
float m1, m2;
m1 = lerfloat("Entre com a Magnitude Inicial?");
m2 = lerfloat("Entre com a Magnitude Final?");
order(&m1,&m2);
mainset.m1 = m1;
mainset.m2 = m2;
load(&mainset);
break;
}
case('J'): { /* Ajuste */
lm = lerfloat("Entre com o menor valor de mag. para ajuste.");
hm = lerfloat("Entre com o maior valor de mag. para ajuste.");
if (lm == hm) {
lm = hm = -1;
}
break;
}
case('P'): { /* Profundidade */
float d1, d2;
d1 = lerfloat("Entre com a Profundidade Minima?");
d2 = lerfloat("Entre com a Profundidade Maxima?");
order(&d1,&d2);
mainset.d1 = d1;
mainset.d2 = d2;
load(&mainset);
break;
}
}
}
cpgclos();
}
void Plotter2::close() {
if (hasDevice) {
cpgclos();
hasDevice = false;
}
}
int main(int argc, char *argv[])
{
int ii, jj, numbirds;
double lofreq, hifreq;
char *rootfilenm;
birdie *newbird;
GSList *zapped = NULL;
infodata idata;
Cmdline *cmd;
/* Call usage() if we have no command line arguments */
if (argc == 1) {
Program = argv[0];
printf("\n");
usage();
exit(1);
}
/* Parse the command line using the excellent program Clig */
cmd = parseCmdline(argc, argv);
#ifdef DEBUG
showOptionValues();
#endif
printf("\n\n");
printf(" Interactive/Automatic Birdie Zapping Program\n");
printf(" by Scott M. Ransom\n");
printf(" January, 2001\n\n");
if (!cmd->zapP && !cmd->inzapfileP && !cmd->outzapfileP) {
printf("You must specify '-in' and '-out' if you are not\n");
printf("automatically zapping a file (with '-zap').\n\n");
exit(0);
}
{
int hassuffix = 0;
char *suffix;
hassuffix = split_root_suffix(cmd->argv[0], &rootfilenm, &suffix);
if (hassuffix) {
if (strcmp(suffix, "fft") != 0) {
printf("\nInput file ('%s') must be a FFT file ('.fft')!\n\n",
cmd->argv[0]);
free(suffix);
exit(0);
}
free(suffix);
} else {
printf("\nInput file ('%s') must be a FFT file ('.fft')!\n\n",
cmd->argv[0]);
exit(0);
}
}
/* Read the info file */
readinf(&idata, rootfilenm);
if (idata.object) {
printf("Examining %s data from '%s'.\n\n",
remove_whitespace(idata.object), cmd->argv[0]);
} else {
printf("Examining data from '%s'.\n\n", cmd->argv[0]);
}
T = idata.dt * idata.N;
dr = 1.0 / NUMBETWEEN;
if (cmd->zapP) { /* Automatic */
double *bird_lobins, *bird_hibins, hibin;
if (!cmd->zapfileP) {
printf("You must specify a 'zapfile' containing freqs\n");
printf("and widths if you want to write to the FFT file.\n\n");
free(rootfilenm);
exit(0);
}
hibin = idata.N / 2;
/* Read the Standard bird list */
numbirds = get_birdies(cmd->zapfile, T, cmd->baryv,
&bird_lobins, &bird_hibins);
/* Zap the birdies */
fftfile = chkfopen(cmd->argv[0], "rb+");
for (ii = 0; ii < numbirds; ii++) {
if (bird_lobins[ii] >= hibin)
break;
if (bird_hibins[ii] >= hibin)
bird_hibins[ii] = hibin - 1;
zapbirds(bird_lobins[ii], bird_hibins[ii], fftfile, NULL);
}
vect_free(bird_lobins);
vect_free(bird_hibins);
} else { /* Interactive */
int *bird_numharms;
double *bird_basebins;
/* Read the Standard bird list */
numbirds = get_std_birds(cmd->inzapfile, T, cmd->baryv,
&bird_basebins, &bird_numharms);
/* Create our correlation kernel */
{
int numkern;
fcomplex *resp;
khw = r_resp_halfwidth(LOWACC);
numkern = 2 * NUMBETWEEN * khw;
resp = gen_r_response(0.0, NUMBETWEEN, numkern);
kernel = gen_cvect(FFTLEN);
place_complex_kernel(resp, numkern, kernel, FFTLEN);
COMPLEXFFT(kernel, FFTLEN, -1);
vect_free(resp);
}
/* Loop over the birdies */
fftfile = chkfopen(cmd->argv[0], "rb");
cpgstart_x("landscape");
cpgask(0);
for (ii = 0; ii < numbirds; ii++) {
for (jj = 0; jj < bird_numharms[ii]; jj++) {
process_bird(bird_basebins[ii], jj + 1, &lofreq, &hifreq);
if (lofreq && hifreq) {
newbird = birdie_create(lofreq, hifreq, cmd->baryv);
zapped = g_slist_insert_sorted(zapped, newbird, birdie_compare);
}
}
}
cpgclos();
/* Output the birdies */
{
FILE *outfile;
outfile = chkfopen(cmd->outzapfile, "w");
fprintf(outfile, "#\n");
fprintf(outfile,
"# Topocentric birdies found using 'zapbirds' for '%s'\n",
cmd->argv[0]);
fprintf(outfile, "#\n");
fprintf(outfile, "# Frequency (Hz) Width (Hz)\n");
fprintf(outfile, "#\n");
g_slist_foreach(zapped, birdie_print, outfile);
fclose(outfile);
}
printf("\nOutput birdie file is '%s'.\n\n", cmd->outzapfile);
/* Free the memory */
g_slist_foreach(zapped, birdie_free, NULL);
g_slist_free(zapped);
vect_free(kernel);
vect_free(bird_numharms);
vect_free(bird_basebins);
}
fclose(fftfile);
free(rootfilenm);
printf("Done\n\n");
return 0;
}
int main(int argc, char *argv[])
{
float maxpow = 0.0, inx = 0.0, iny = 0.0;
double centerr, offsetf;
int zoomlevel, maxzoom, minzoom, xid, psid;
char *rootfilenm, inchar;
fftpart *lofp;
fftview *fv;
if (argc == 1) {
printf("\nusage: explorefft fftfilename\n\n");
exit(0);
}
printf("\n\n");
printf(" Interactive FFT Explorer\n");
printf(" by Scott M. Ransom\n");
printf(" October, 2001\n");
print_help();
{
int hassuffix = 0;
char *suffix;
hassuffix = split_root_suffix(argv[1], &rootfilenm, &suffix);
if (hassuffix) {
if (strcmp(suffix, "fft") != 0) {
printf("\nInput file ('%s') must be a FFT file ('.fft')!\n\n", argv[1]);
free(suffix);
exit(0);
}
free(suffix);
} else {
printf("\nInput file ('%s') must be a FFT file ('.fft')!\n\n", argv[1]);
exit(0);
}
}
/* Read the info file */
readinf(&idata, rootfilenm);
if (strlen(remove_whitespace(idata.object)) > 0) {
printf("Examining %s data from '%s'.\n\n",
remove_whitespace(idata.object), argv[1]);
} else {
printf("Examining data from '%s'.\n\n", argv[1]);
}
N = idata.N;
T = idata.dt * idata.N;
#ifdef USEMMAP
printf("Memory mapping the input FFT. This may take a while...\n");
mmap_file = open(argv[1], O_RDONLY);
{
int rt;
struct stat buf;
rt = fstat(mmap_file, &buf);
if (rt == -1) {
perror("\nError in fstat() in explorefft.c");
printf("\n");
exit(-1);
}
Nfft = buf.st_size / sizeof(fcomplex);
}
lofp = get_fftpart(0, Nfft);
#else
{
int numamps;
fftfile = chkfopen(argv[1], "rb");
Nfft = chkfilelen(fftfile, sizeof(fcomplex));
numamps = (Nfft > MAXBINS) ? (int) MAXBINS : (int) Nfft;
lofp = get_fftpart(0, numamps);
}
#endif
/* Plot the initial data */
{
int initnumbins = INITIALNUMBINS;
if (initnumbins > Nfft) {
initnumbins = next2_to_n(Nfft) / 2;
zoomlevel = LOGDISPLAYNUM - (int) (log(initnumbins) / log(2.0));
minzoom = zoomlevel;
} else {
zoomlevel = LOGDISPLAYNUM - LOGINITIALNUMBINS;
minzoom = LOGDISPLAYNUM - LOGMAXBINS;
}
maxzoom = LOGDISPLAYNUM - LOGMINBINS;
centerr = initnumbins / 2;
}
fv = get_fftview(centerr, zoomlevel, lofp);
/* Prep the XWIN device for PGPLOT */
xid = cpgopen("/XWIN");
if (xid <= 0) {
free(fv);
#ifdef USEMMAP
close(mmap_file);
#else
fclose(fftfile);
#endif
free_fftpart(lofp);
exit(EXIT_FAILURE);
}
cpgscr(15, 0.4, 0.4, 0.4);
cpgask(0);
cpgpage();
offsetf = plot_fftview(fv, maxpow, 1.0, 0.0, 0);
do {
cpgcurs(&inx, &iny, &inchar);
if (DEBUGOUT)
printf("You pressed '%c'\n", inchar);
switch (inchar) {
case 'A': /* Zoom in */
case 'a':
centerr = (inx + offsetf) * T;
case 'I':
case 'i':
if (DEBUGOUT)
printf(" Zooming in (zoomlevel = %d)...\n", zoomlevel);
if (zoomlevel < maxzoom) {
zoomlevel++;
free(fv);
fv = get_fftview(centerr, zoomlevel, lofp);
cpgpage();
offsetf = plot_fftview(fv, maxpow, 1.0, 0.0, 0);
} else
printf(" Already at maximum zoom level (%d).\n", zoomlevel);
break;
case 'X': /* Zoom out */
case 'x':
case 'O':
case 'o':
if (DEBUGOUT)
printf(" Zooming out (zoomlevel = %d)...\n", zoomlevel);
if (zoomlevel > minzoom) {
zoomlevel--;
free(fv);
fv = get_fftview(centerr, zoomlevel, lofp);
cpgpage();
offsetf = plot_fftview(fv, maxpow, 1.0, 0.0, 0);
} else
printf(" Already at minimum zoom level (%d).\n", zoomlevel);
break;
case '<': /* Shift left 1 full screen */
centerr -= fv->numbins + fv->numbins / 8;
case ',': /* Shift left 1/8 screen */
if (DEBUGOUT)
printf(" Shifting left...\n");
centerr -= fv->numbins / 8;
{ /* Should probably get the previous chunk from the fftfile... */
double lowestr;
lowestr = 0.5 * fv->numbins;
if (centerr < lowestr)
centerr = lowestr;
}
free(fv);
fv = get_fftview(centerr, zoomlevel, lofp);
cpgpage();
offsetf = plot_fftview(fv, maxpow, 1.0, 0.0, 0);
break;
case '>': /* Shift right 1 full screen */
centerr += fv->numbins - fv->numbins / 8;
case '.': /* Shift right 1/8 screen */
if (DEBUGOUT)
printf(" Shifting right...\n");
centerr += fv->numbins / 8;
{ /* Should probably get the next chunk from the fftfile... */
double highestr;
highestr = lofp->rlo + lofp->numamps - 0.5 * fv->numbins;
if (centerr > highestr)
centerr = highestr;
}
free(fv);
fv = get_fftview(centerr, zoomlevel, lofp);
cpgpage();
offsetf = plot_fftview(fv, maxpow, 1.0, 0.0, 0);
break;
case '+': /* Increase height of powers */
case '=':
if (maxpow == 0.0) {
printf(" Auto-scaling is off.\n");
maxpow = 1.1 * fv->maxpow;
}
maxpow = 3.0 / 4.0 * maxpow;
cpgpage();
offsetf = plot_fftview(fv, maxpow, 1.0, 0.0, 0);
break;
case '-': /* Decrease height of powers */
case '_':
if (maxpow == 0.0) {
printf(" Auto-scaling is off.\n");
maxpow = 1.1 * fv->maxpow;
}
maxpow = 4.0 / 3.0 * maxpow;
cpgpage();
offsetf = plot_fftview(fv, maxpow, 1.0, 0.0, 0);
break;
case 'S': /* Auto-scale */
case 's':
if (maxpow == 0.0)
break;
else {
printf(" Auto-scaling is on.\n");
maxpow = 0.0;
cpgpage();
offsetf = plot_fftview(fv, maxpow, 1.0, 0.0, 0);
break;
}
case 'G': /* Goto a frequency */
case 'g':
{
char freqstr[50];
double freq = -1.0;
while (freq < 0.0) {
printf(" Enter the frequency (Hz) to go to:\n");
fgets(freqstr, 50, stdin);
freqstr[strlen(freqstr) - 1] = '\0';
freq = atof(freqstr);
}
offsetf = 0.0;
centerr = freq * T;
printf(" Moving to frequency %.15g.\n", freq);
free(fv);
fv = get_fftview(centerr, zoomlevel, lofp);
cpgpage();
offsetf = plot_fftview(fv, maxpow, 1.0, centerr, 2);
}
break;
case 'H': /* Show harmonics */
case 'h':
{
double retval;
retval = harmonic_loop(xid, centerr, zoomlevel, lofp);
if (retval > 0.0) {
offsetf = 0.0;
centerr = retval;
free(fv);
fv = get_fftview(centerr, zoomlevel, lofp);
cpgpage();
offsetf = plot_fftview(fv, maxpow, 1.0, centerr, 2);
}
}
break;
case '?': /* Print help screen */
print_help();
break;
case 'D': /* Show details about a selected point */
case 'd':
{
double newr;
printf(" Searching for peak near freq = %.7g Hz...\n", (inx + offsetf));
newr = find_peak(inx + offsetf, fv, lofp);
centerr = newr;
free(fv);
fv = get_fftview(centerr, zoomlevel, lofp);
cpgpage();
offsetf = plot_fftview(fv, maxpow, 1.0, centerr, 2);
}
break;
case 'L': /* Load a zaplist */
case 'l':
{
int ii, len;
char filename[200];
double *lobins, *hibins;
printf(" Enter the filename containing the zaplist to load:\n");
fgets(filename, 199, stdin);
len = strlen(filename) - 1;
filename[len] = '\0';
numzaplist = get_birdies(filename, T, 0.0, &lobins, &hibins);
lenzaplist = numzaplist + 20; /* Allow some room to add more */
if (lenzaplist)
free(zaplist);
zaplist = (bird *) malloc(sizeof(bird) * lenzaplist);
for (ii = 0; ii < numzaplist; ii++) {
zaplist[ii].lobin = lobins[ii];
zaplist[ii].hibin = hibins[ii];
}
vect_free(lobins);
vect_free(hibins);
printf("\n");
cpgpage();
offsetf = plot_fftview(fv, maxpow, 1.0, 0.0, 0);
}
break;
case 'Z': /* Add a birdie to a zaplist */
case 'z':
{
int badchoice = 2;
float lox, hix, loy, hiy;
double rs[2];
char choice;
if (numzaplist + 1 > lenzaplist) {
lenzaplist += 10;
zaplist = (bird *) realloc(zaplist, sizeof(bird) * lenzaplist);
}
cpgqwin(&lox, &hix, &loy, &hiy);
printf(" Click the left mouse button on the first frequency limit.\n");
while (badchoice) {
cpgcurs(&inx, &iny, &choice);
if (choice == 'A' || choice == 'a') {
rs[2 - badchoice] = ((double) inx + offsetf) * T;
cpgsave();
cpgsci(7);
cpgmove(inx, 0.0);
cpgdraw(inx, hiy);
cpgunsa();
badchoice--;
if (badchoice == 1)
printf
(" Click the left mouse button on the second frequency limit.\n");
} else {
printf(" Option not recognized.\n");
}
};
if (rs[1] > rs[0]) {
zaplist[numzaplist].lobin = rs[0];
zaplist[numzaplist].hibin = rs[1];
} else {
zaplist[numzaplist].lobin = rs[1];
zaplist[numzaplist].hibin = rs[0];
}
printf(" The new birdie has: f_avg = %.15g f_width = %.15g\n\n",
0.5 * (zaplist[numzaplist].hibin + zaplist[numzaplist].lobin) / T,
(zaplist[numzaplist].hibin - zaplist[numzaplist].lobin) / T);
numzaplist++;
qsort(zaplist, numzaplist, sizeof(bird), compare_birds);
cpgpage();
offsetf = plot_fftview(fv, maxpow, 1.0, 0.0, 0);
}
break;
case 'P': /* Print the current plot */
case 'p':
{
int len;
char filename[200];
printf(" Enter the filename to save the plot as:\n");
fgets(filename, 196, stdin);
len = strlen(filename) - 1;
filename[len + 0] = '/';
filename[len + 1] = 'P';
filename[len + 2] = 'S';
filename[len + 3] = '\0';
psid = cpgopen(filename);
cpgslct(psid);
cpgpap(10.25, 8.5 / 11.0);
cpgiden();
cpgscr(15, 0.8, 0.8, 0.8);
offsetf = plot_fftview(fv, maxpow, 1.0, 0.0, 0);
cpgclos();
cpgslct(xid);
cpgscr(15, 0.4, 0.4, 0.4);
filename[len] = '\0';
printf(" Wrote the plot to the file '%s'.\n", filename);
}
break;
case 'N': /* Changing power normalization */
case 'n':
{
float inx2 = 0.0, iny2 = 0.0;
char choice;
unsigned char badchoice = 1;
printf(" Specify the type of power normalization:\n"
" m,M : Median values determined locally\n"
" d,D : DC frequency amplitude\n"
" r,R : Raw powers (i.e. no normalization)\n"
" u,U : User specified interval (the average powers)\n");
while (badchoice) {
cpgcurs(&inx2, &iny2, &choice);
switch (choice) {
case 'M':
case 'm':
norm_const = 0.0;
maxpow = 0.0;
badchoice = 0;
printf
(" Using local median normalization. Autoscaling is on.\n");
break;
case 'D':
case 'd':
norm_const = 1.0 / r0;
maxpow = 0.0;
badchoice = 0;
printf
(" Using DC frequency (%f) normalization. Autoscaling is on.\n",
r0);
break;
case 'R':
case 'r':
norm_const = 1.0;
maxpow = 0.0;
badchoice = 0;
printf
(" Using raw powers (i.e. no normalization). Autoscaling is on.\n");
break;
case 'U':
case 'u':
{
char choice2;
float xx = inx, yy = iny;
int lor, hir, numr;
double avg, var;
printf
(" Use the left mouse button to select a left and right boundary\n"
" of a region to calculate the average power.\n");
do {
cpgcurs(&xx, &yy, &choice2);
} while (choice2 != 'A' && choice2 != 'a');
lor = (int) ((xx + offsetf) * T);
cpgsci(7);
cpgmove(xx, 0.0);
cpgdraw(xx, 10.0 * fv->maxpow);
do {
cpgcurs(&xx, &yy, &choice2);
} while (choice2 != 'A' && choice2 != 'a');
hir = (int) ((xx + offsetf) * T);
cpgmove(xx, 0.0);
cpgdraw(xx, 10.0 * fv->maxpow);
cpgsci(1);
if (lor > hir) {
int tempr;
tempr = hir;
hir = lor;
lor = tempr;
}
numr = hir - lor + 1;
avg_var(lofp->rawpowers + lor - lofp->rlo, numr, &avg, &var);
printf(" Selection has: average = %.5g\n"
" std dev = %.5g\n", avg, sqrt(var));
norm_const = 1.0 / avg;
maxpow = 0.0;
badchoice = 0;
printf
(" Using %.5g as the normalization constant. Autoscaling is on.\n",
avg);
break;
}
default:
printf(" Unrecognized choice '%c'.\n", choice);
break;
}
}
free(fv);
fv = get_fftview(centerr, zoomlevel, lofp);
cpgpage();
offsetf = plot_fftview(fv, maxpow, 1.0, 0.0, 0);
}
break;
case 'Q': /* Quit */
case 'q':
printf(" Quitting...\n");
free(fv);
cpgclos();
break;
default:
printf(" Unrecognized option '%c'.\n", inchar);
break;
}
} while (inchar != 'Q' && inchar != 'q');
free_fftpart(lofp);
#ifdef USEMMAP
close(mmap_file);
#else
fclose(fftfile);
#endif
if (lenzaplist)
free(zaplist);
printf("Done\n\n");
return 0;
}
static double harmonic_loop(int xid, double rr, int zoomlevel, fftpart * fp)
{
float inx = 0.0, iny = 0.0;
double retval = 0.0;
int xid2, psid, badchoice = 1;
char choice;
xid2 = cpgopen("/XWIN");
cpgpap(10.25, 8.5 / 11.0);
cpgask(0);
cpgslct(xid2);
plot_harmonics(rr, zoomlevel, fp);
printf(" Click on the harmonic to go it,\n"
" press 'P' to print, or press 'Q' to close.\n");
while (badchoice) {
cpgcurs(&inx, &iny, &choice);
if (choice == 'Q' || choice == 'q') {
badchoice = 0;
} else if (choice == 'P' || choice == 'p') {
int len, numharmbins;
double offsetf;
char filename[200];
fftpart *harmpart;
fftview *harmview;
printf(" Enter the filename to save the plot as:\n");
fgets(filename, 195, stdin);
len = strlen(filename) - 1;
strcpy(filename + len, "/CPS");
psid = cpgopen(filename);
cpgslct(psid);
cpgpap(10.25, 8.5 / 11.0);
cpgiden();
cpgscr(15, 0.8, 0.8, 0.8);
numharmbins = (1 << (LOGDISPLAYNUM - zoomlevel));
harmpart = get_fftpart((int) (rr - numharmbins), 2 * numharmbins);
harmview = get_fftview(rr, zoomlevel, harmpart);
free_fftpart(harmpart);
offsetf = plot_fftview(harmview, 0.0, 1.0, rr, 2);
cpgpage();
plot_harmonics(rr, zoomlevel, fp);
cpgclos();
cpgslct(xid2);
cpgscr(15, 0.4, 0.4, 0.4);
filename[len] = '\0';
printf(" Wrote the plot to the file '%s'.\n", filename);
} else if (choice == 'A' || choice == 'a') {
if (iny > 1.0)
retval = rr * (int) (inx);
else if (iny > 0.0)
retval = rr * ((int) (inx) + 4.0);
else if (iny > -1.0)
retval = rr / (int) (inx);
else
retval = rr / ((int) (inx) + 4.0);
badchoice = 0;
} else {
printf(" Option not recognized.\n");
}
};
cpgclos();
cpgslct(xid);
return retval;
}
int main(int argc, char** argv){
float tr[6];
const float ZAP=32;
const uint64_t TSIZE=18;
const uint64_t zapE=64;
fftwf_init_threads();
fftwf_plan_with_nthreads(omp_get_max_threads());
logmsg("Open file '%s'",argv[1]);
FILE* f = fopen(argv[1],"r");
int hdr_bytes = read_header(f);
const uint64_t nskip = hdr_bytes;
const uint64_t nchan = nchans;
logmsg("Nchan=%"PRIu64", tsamp=%f",nchan,tsamp);
mjk_rand_t *random = mjk_rand_init(12345);
rewind(f);
FILE* of = fopen("clean.fil","w");
uint8_t hdr[nskip];
fread(hdr,1,nskip,f);
fwrite(hdr,1,nskip,of);
const uint64_t nsamp_per_block=round(pow(2,TSIZE));
logmsg("Tblock = %f",nsamp_per_block*tsamp);
mjk_clock_t *t_all = init_clock();
start_clock(t_all);
mjk_clock_t *t_read = init_clock();
mjk_clock_t *t_trns= init_clock();
mjk_clock_t *t_rms = init_clock();
mjk_clock_t *t_fft = init_clock();
mjk_clock_t *t_spec = init_clock();
const uint64_t bytes_per_block = nchan*nsamp_per_block;
uint8_t *buffer = calloc(bytes_per_block,1);
float **data = malloc_2df(nchan,nsamp_per_block);
float **clean = malloc_2df(nchan,nsamp_per_block);
float *bpass = calloc(nchan,sizeof(float));
float *ch_var=NULL;
float *ch_mean=NULL;
float *ch_fft_n=NULL;
float *ch_fft_p=NULL;
logmsg("Planning FFT - this will take a long time the first time it is run!");
start_clock(t_fft);
FILE * wisfile;
if(wisfile=fopen("wisdom.txt","r")){
fftwf_import_wisdom_from_file(wisfile);
fclose(wisfile);
}
const int fftX=nsamp_per_block;
const int fftY=nchan;
const int fftXo=nsamp_per_block/2+1;
float *X = fftwf_malloc(sizeof(float)*fftX);
for (uint64_t i = 0; i < nsamp_per_block ; i++){
X[i]=i;
}
float *tseries = fftwf_malloc(sizeof(float)*fftX);
float complex *fseries = fftwf_malloc(sizeof(float complex)*fftXo);
float *pseries = fftwf_malloc(sizeof(float)*fftXo);
uint8_t *mask = malloc(sizeof(uint8_t)*fftXo);
fftwf_plan fft_1d = fftwf_plan_dft_r2c_1d(fftX,tseries,fseries,FFTW_MEASURE|FFTW_DESTROY_INPUT);
complex float * fftd = fftwf_malloc(sizeof(complex float)*(fftXo*fftY));
fftwf_plan fft_plan = fftwf_plan_many_dft_r2c(
1,&fftX,fftY,
data[0] ,&fftX,1,fftX,
fftd ,&fftXo,1,fftXo,
FFTW_MEASURE|FFTW_PRESERVE_INPUT);
logmsg("Planning iFFT - this will take a long time the first time it is run!");
fftwf_plan ifft_plan = fftwf_plan_many_dft_c2r(
1,&fftX,fftY,
fftd ,&fftXo,1,fftXo,
clean[0] ,&fftX,1,fftX,
FFTW_MEASURE|FFTW_PRESERVE_INPUT);
if(!fft_plan){
logmsg("Error - could not do FFT plan");
exit(2);
}
wisfile=fopen("wisdom.txt","w");
fftwf_export_wisdom_to_file(wisfile);
fclose(wisfile);
stop_clock(t_fft);
logmsg("T(planFFT)= %.2lfs",read_clock(t_fft));
reset_clock(t_fft);
float min_var=1e9;
float max_var=0;
float min_fft_n=1e9;
float max_fft_n=0;
float min_fft_p=1e9;
float max_fft_p=0;
float min_mean=1e9;
float max_mean=0;
uint64_t nblocks=0;
uint64_t totread=0;
while(!feof(f)){
nblocks++;
ch_var = realloc(ch_var,nchan*nblocks*sizeof(float));
ch_mean = realloc(ch_mean,nchan*nblocks*sizeof(float));
ch_fft_n = realloc(ch_fft_n,nchan*nblocks*sizeof(float));
ch_fft_p = realloc(ch_fft_p,nchan*nblocks*sizeof(float));
start_clock(t_read);
uint64_t read = fread(buffer,1,bytes_per_block,f);
stop_clock(t_read);
if (read!=bytes_per_block){
nblocks--;
break;
}
totread+=read;
logmsg("read=%"PRIu64" bytes. T=%fs",read,totread*tsamp/(float)nchan);
uint64_t offset = (nblocks-1)*nchan;
start_clock(t_trns);
// transpose with small blocks in order to increase cache efficiency.
#define BLK 8
#pragma omp parallel for schedule(static,2) shared(buffer,data)
for (uint64_t j = 0; j < nchan ; j+=BLK){
for (uint64_t i = 0; i < nsamp_per_block ; i++){
for (uint64_t k = 0; k < BLK ; k++){
data[j+k][i] = buffer[i*nchan+j+k];
}
}
}
#pragma omp parallel for shared(data)
for (uint64_t j = 0; j < nchan ; j++){
if(j<zapE || (nchan-j) < zapE){
for (uint64_t i = 0; i < nsamp_per_block ; i++){
data[j][i]=ZAP;
}
}
}
if(nblocks==1){
#pragma omp parallel for shared(data,bpass)
for (uint64_t j = 0; j < nchan ; j++){
for (uint64_t i = 0; i < nsamp_per_block ; i++){
bpass[j]+=data[j][i];
}
bpass[j]/=(float)nsamp_per_block;
bpass[j]-=ZAP;
}
}
#pragma omp parallel for shared(data,bpass)
for (uint64_t j = 0; j < nchan ; j++){
for (uint64_t i = 0; i < nsamp_per_block ; i++){
data[j][i]-=bpass[j];
}
}
stop_clock(t_trns);
start_clock(t_rms);
#pragma omp parallel for shared(data,ch_mean,ch_var)
for (uint64_t j = 0; j < nchan ; j++){
float mean=0;
for (uint64_t i = 0; i < nsamp_per_block ; i++){
mean+=data[j][i];
}
mean/=(float)nsamp_per_block;
if(mean > ZAP+5 || mean < ZAP-5){
logmsg("ZAP ch=%"PRIu64,j);
for (uint64_t i = 0; i < nsamp_per_block ; i++){
data[j][i]=ZAP;
}
}
float ss=0;
float x=0;
for (uint64_t i = 0; i < nsamp_per_block ; i++){
x = data[j][i]-mean;
ss+=x*x;
}
float var=ss/(float)nsamp_per_block;
if (var > 0){
for (uint64_t i = 0; i < nsamp_per_block ; i++){
float v = (data[j][i]-mean)/sqrt(var);
if(v > 3 || v < -3){
data[j][i]=mjk_rand_gauss(random)*sqrt(var)+mean;
}
}
}
ch_var[offset+j] = var;
ch_mean[offset+j] = mean;
}
stop_clock(t_rms);
for (uint64_t i = 0; i < nsamp_per_block ; i++){
tseries[i]=0;
}
float tmean=0;
float tvar=0;
float max=0;
float min=1e99;
//#pragma omp parallel for shared(data,tseries)
// NOT THREAD SAFE
for (uint64_t j = 0; j < nchan ; j++){
tmean+=ch_mean[offset+j];
tvar+=ch_var[offset+j];
for (uint64_t i = 0; i < nsamp_per_block ; i++){
tseries[i]+=data[j][i];
if(data[j][i]>max)max=data[j][i];
if(data[j][i]<min)min=data[j][i];
}
}
float ss=0;
float mm=0;
for (uint64_t i = 0; i < nsamp_per_block ; i++){
float x=tseries[i]-tmean;
mm+=tseries[i];
ss+=x*x;
}
float rvar=ss/(float)nsamp_per_block;
logmsg("var=%g tvar=%g",ss/(float)nsamp_per_block,tvar);
logmsg("mean=%g tmean=%g",mm/(float)nsamp_per_block,tmean);
cpgopen("3/xs");
cpgsvp(0.1,0.9,0.1,0.9);
cpgswin(0,fftX,tmean-sqrt(tvar)*30,tmean+sqrt(tvar)*30);
cpgbox("ABN",0,0,"ABN",0,0);
cpgline(fftX,X,tseries);
cpgsci(2);
cpgclos();
tr[0] = 0.0 ;
tr[1] = 1;
tr[2] = 0;
tr[3] = 0.5;
tr[4] = 0;
tr[5] = 1;
logmsg("max=%g min=%g",max,min);
cpgopen("4/xs");
cpgsvp(0.1,0.9,0.1,0.9);
cpgswin(0,nsamp_per_block,0,nchan);
cpgbox("ABN",0,0,"ABN",0,0);
cpggray(*data,nsamp_per_block,nchan,1,nsamp_per_block,1,nchan,tmean/(float)nchan+sqrt(rvar/(float)nchan),tmean/(float)nchan-sqrt(rvar/(float)nchan),tr);
cpgclos();
start_clock(t_fft);
fftwf_execute(fft_1d);
fftwf_execute(fft_plan);
stop_clock(t_fft);
{
float T = sqrt(fftXo*tvar)*12;
logmsg("Zap T=%.2e",T);
float fx[fftXo];
float fT[fftXo];
#pragma omp parallel for shared(fseries,pseries,mask)
for (uint64_t i = 0; i < fftXo ; i++){
mask[i]=1;
}
#pragma omp parallel for shared(fseries,pseries,mask)
for (uint64_t i = 0; i < fftXo ; i++){
pseries[i]=camp(fseries[i]);
fx[i]=i;
float TT = T;
if (i>512)TT=T/2.0;
if(i>32){
fT[i]=TT;
if (pseries[i] > TT) {
mask[i]=0;
}
} else fT[i]=0;
}
uint64_t nmask=0;
for (uint64_t i = 0; i < fftXo ; i++){
if (mask[i]==0){
nmask++;
}
}
logmsg("masked=%d (%.2f%%)",nmask,100*nmask/(float)fftXo);
cpgopen("1/xs");
cpgsvp(0.1,0.9,0.1,0.9);
cpgswin(0,fftXo,0,T*10);
cpgbox("ABN",0,0,"ABN",0,0);
cpgline(fftXo,fx,pseries);
cpgsci(2);
cpgline(fftXo,fx,fT);
cpgclos();
}
// exit(1);
start_clock(t_spec);
//FILE* ff=fopen("plot","w");
#pragma omp parallel for shared(fftd,ch_mean,ch_fft_n,ch_fft_p)
for (uint64_t j = 0; j < nchan ; j++){
float var = ch_var[offset+j];
float m=sqrt(var*fftXo/2.0);
float T = sqrt(var*fftXo)*3;
uint64_t n=0;
float p=0;
float complex *fftch = fftd + fftXo*j;
for(uint64_t i = 1; i < fftXo; i++){
if (camp(fftch[i]) > T) {
n++;
p+=camp(fftch[i]);
}
// if(j==512)fprintf(ff,"%f ",camp(fftch[i]));
if(mask[i]==0){
fftch[i]=m*(mjk_rand_gauss(random) + I*mjk_rand_gauss(random));
}
// if(j==512)fprintf(ff,"%f\n",camp(fftch[i]));
}
ch_fft_n[offset+j]=n;
ch_fft_p[offset+j]=p;
}
// fclose(ff);
logmsg("iFFT");
fftwf_execute(ifft_plan);
#pragma omp parallel for schedule(static,2) shared(buffer,clean)
for (uint64_t j = 0; j < nchan ; j+=BLK){
for (uint64_t i = 0; i < nsamp_per_block ; i++){
for (uint64_t k = 0; k < BLK ; k++){
clean[j+k][i]/=(float)fftX;
buffer[i*nchan+j+k] = round(clean[j+k][i]);
}
}
if(j==512){
cpgopen("2/xs");
cpgsvp(0.1,0.9,0.1,0.9);
cpgswin(0,fftX,ch_mean[j]-sqrt(ch_var[j])*10,ch_mean[j]+sqrt(ch_var[j])*10);
cpgbox("ABN",0,0,"ABN",0,0);
cpgline(fftX,X,data[j]);
cpgsci(2);
cpgline(fftX,X,clean[j]);
cpgclos();
}
}
fwrite(buffer,1,bytes_per_block,of);
for (uint64_t i = 0; i < nsamp_per_block ; i++){
tseries[i]=0;
}
tmean=0;
tvar=0;
max=0;
min=1e99;
//#pragma omp parallel for shared(clean,tseries)
// NOT THREAD SAFE
for (uint64_t j = 0; j < nchan ; j++){
tmean+=ch_mean[offset+j];
tvar+=ch_var[offset+j];
for (uint64_t i = 0; i < nsamp_per_block ; i++){
tseries[i]+=clean[j][i];
if(clean[j][i]>max)max=clean[j][i];
if(clean[j][i]<min)min=clean[j][i];
}
}
ss=0;
mm=0;
for (uint64_t i = 0; i < nsamp_per_block ; i++){
float x=tseries[i]-tmean;
mm+=tseries[i];
ss+=x*x;
}
rvar=ss/(float)nsamp_per_block;
logmsg("var=%g tvar=%g",ss/(float)nsamp_per_block,tvar);
logmsg("mean=%g tmean=%g",mm/(float)nsamp_per_block,tmean);
cpgopen("5/xs");
cpgsvp(0.1,0.9,0.1,0.9);
cpgswin(0,fftX,tmean-sqrt(tvar)*30,tmean+sqrt(tvar)*30);
cpgbox("ABN",0,0,"ABN",0,0);
cpgline(fftX,X,tseries);
cpgsci(2);
cpgclos();
tr[0] = 0.0 ;
tr[1] = 1;
tr[2] = 0;
tr[3] = 0.5;
tr[4] = 0;
tr[5] = 1;
logmsg("max=%g min=%g",max,min);
cpgopen("6/xs");
cpgsvp(0.1,0.9,0.1,0.9);
cpgswin(0,nsamp_per_block,0,nchan);
cpgbox("ABN",0,0,"ABN",0,0);
cpggray(*clean,nsamp_per_block,nchan,1,nsamp_per_block,1,nchan,tmean/(float)nchan+sqrt(rvar/(float)nchan),tmean/(float)nchan-sqrt(rvar/(float)nchan),tr);
cpgclos();
stop_clock(t_spec);
for (uint64_t j = 0; j < nchan ; j++){
float mean=ch_mean[offset+j];
if (mean > max_mean)max_mean=mean;
if (mean < min_mean)min_mean=mean;
float var=ch_var[offset+j];
if (var > max_var)max_var=var;
if (var < min_var)min_var=var;
float fft_n=ch_fft_n[offset+j];
if (fft_n > max_fft_n)max_fft_n=fft_n;
if (fft_n < min_fft_n)min_fft_n=fft_n;
float fft_p=ch_fft_p[offset+j];
if (fft_p > max_fft_p)max_fft_p=fft_p;
if (fft_p < min_fft_p)min_fft_p=fft_p;
}
}
stop_clock(t_all);
fclose(of);
logmsg("T(all) = %.2lfs",read_clock(t_all));
logmsg("T(read) = %.2lfs",read_clock(t_read));
logmsg("T(trans)= %.2lfs",read_clock(t_trns));
logmsg("T(fft) = %.2lfs",read_clock(t_fft));
logmsg("T(fan) = %.2lfs",read_clock(t_spec));
logmsg("T(rms) = %.2lfs",read_clock(t_rms));
logmsg("T(rest) = %.2lfs",read_clock(t_all)-read_clock(t_read)-read_clock(t_trns)-read_clock(t_rms)-read_clock(t_fft)-read_clock(t_spec));
tr[0] = -tsamp*nsamp_per_block*0.5;
tr[2] = tsamp*nsamp_per_block;
tr[1] = 0;
tr[3] = 0.5;
tr[5] = 0;
tr[4] = 1;
cpgopen("1/xs");
cpgsvp(0.1,0.9,0.1,0.9);
cpgswin(0,nblocks*tsamp*nsamp_per_block,0,nchan);
cpgbox("ABN",600,10,"ABN",100,1);
cpggray(ch_mean,nchan,nblocks,1,nchan,1,nblocks,max_mean,min_mean,tr);
cpgclos();
cpgopen("2/xs");
cpgsvp(0.1,0.9,0.1,0.9);
cpgswin(0,nblocks*tsamp*nsamp_per_block,0,nchan);
cpgbox("ABN",600,10,"ABN",100,1);
cpggray(ch_var,nchan,nblocks,1,nchan,1,nblocks,max_var,min_var,tr);
cpgclos();
cpgopen("3/xs");
cpgsvp(0.1,0.9,0.1,0.9);
cpgswin(0,nblocks*tsamp*nsamp_per_block,0,nchan);
cpgbox("ABN",600,10,"ABN",100,1);
cpggray(ch_fft_n,nchan,nblocks,1,nchan,1,nblocks,max_fft_n,min_fft_n,tr);
cpgclos();
cpgopen("4/xs");
cpgsvp(0.1,0.9,0.1,0.9);
cpgswin(0,nblocks*tsamp*nsamp_per_block,0,nchan);
cpgbox("ABN",600,10,"ABN",100,1);
cpggray(ch_fft_p,nchan,nblocks,1,nchan,1,nblocks,max_fft_p,min_fft_p,tr);
cpgclos();
cpgopen("mean.ps/vcps");
cpgsvp(0.1,0.9,0.1,0.9);
cpgswin(0,nblocks*tsamp*nsamp_per_block,0,nchan);
cpgbox("ABN",600,10,"ABN",100,1);
cpggray(ch_mean,nchan,nblocks,1,nchan,1,nblocks,max_mean,min_mean,tr);
cpgclos();
cpgopen("var.ps/vcps");
cpgsvp(0.1,0.9,0.1,0.9);
cpgswin(0,nblocks*tsamp*nsamp_per_block,0,nchan);
cpgbox("ABN",600,10,"ABN",100,1);
cpggray(ch_var,nchan,nblocks,1,nchan,1,nblocks,max_var,min_var,tr);
cpgclos();
cpgopen("fft_n.ps/vcps");
cpgsvp(0.1,0.9,0.1,0.9);
cpgswin(0,nblocks*tsamp*nsamp_per_block,0,nchan);
cpgbox("ABN",600,10,"ABN",100,1);
cpggray(ch_fft_n,nchan,nblocks,1,nchan,1,nblocks,max_fft_n,min_fft_n,tr);
cpgclos();
cpgopen("fft_p.ps/vcps");
cpgsvp(0.1,0.9,0.1,0.9);
cpgswin(0,nblocks*tsamp*nsamp_per_block,0,nchan);
cpgbox("ABN",600,10,"ABN",100,1);
cpggray(ch_fft_p,nchan,nblocks,1,nchan,1,nblocks,max_fft_p,min_fft_p,tr);
cpgclos();
fclose(f);
free(buffer);
free_2df(data);
return 0;
}
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);
}
