static void demo3()
{
#define TWOPI (2.0*3.14159265)
#define NPOL 6
int i, j, k;
int n1[] = {3, 4, 5, 5, 6, 8};
int n2[] = {1, 1, 1, 2, 1, 3};
float x[10], y[10], y0;
char* lab[] = {"Fill style 1 (solid)",
"Fill style 2 (outline)",
"Fill style 3 (hatched)",
"Fill style 4 (cross-hatched)"};
/* Initialize the viewport and window. */
cpgbbuf();
cpgsave();
cpgpage();
cpgsvp(0.0, 1.0, 0.0, 1.0);
cpgwnad(0.0, 10.0, 0.0, 10.0);
/* Label the graph. */
cpgsci(1);
cpgmtxt("T", -2.0, 0.5, 0.5,
"PGPLOT fill area: routines cpgpoly(), cpgcirc(), cpgrect()");
/* Draw assorted polygons. */
for (k=1; k<5; k++) {
cpgsci(1);
y0 = 10.0 -2.0*k;
cpgtext(0.2, y0+0.6, lab[k-1]);
cpgsfs(k);
for (i=0; i<NPOL; i++) {
cpgsci(i+1);
for (j=0; j<n1[i]; j++) {
x[j] = i+1 + 0.5*cos(n2[i]*TWOPI*j/n1[i]);
y[j] = y0 + 0.5*sin(n2[i]*TWOPI*j/n1[i]);
}
cpgpoly(n1[i], x, y);
}
cpgsci(7);
cpgshs(0.0, 1.0, 0.0);
cpgcirc(7.0, y0, 0.5);
cpgsci(8);
cpgshs(-45.0, 1.0, 0.0);
cpgrect(7.8, 9.5, y0-0.5, y0+0.5);
}
cpgunsa();
cpgebuf();
return;
}
JNIEXPORT void JNICALL Java_pulsarhunter_PgplotInterface_pgtext
(JNIEnv *env, jclass cl, jstring text, jfloat x, jfloat y){
char *textStr = (char*)(*env)->GetStringUTFChars(env,text,NULL);
jint strlen = (*env)->GetStringUTFLength(env,text);
cpgtext(x,y,textStr);
(*env)->ReleaseStringUTFChars(env,text,textStr);
}
void scaledep() {
int i, d;
char t[24];
cpgsci(1);
cpgmtxt("T",1.0,0.0,0.0,"Prof.:");
cpgsvp(0.12, 0.25, 0.912, 0.922);
cpgswin(0.0,700.0, 0.0, 2.0);
cpgsch(0.4);
for(i=1.0;i<700.0;i+=10.0) {
cpgsci(depthcolor((float)i));
cpgpt1(i,1.0,16);
}
cpgsci(1);
d = 0;
cpgsci(depthcolor((float)d));
sprintf(t,"%.1d",d);
cpgtext(d-25.0,2.8,t);
d = 15;
cpgsci(depthcolor((float)d));
sprintf(t,"%.1d",d);
cpgtext(d-35.0,-1.8,t);
d = 35;
cpgsci(depthcolor((float)d));
sprintf(t,"%.1d",d);
cpgtext(d-20.0,2.8,t);
d = 70;
cpgsci(depthcolor((float)d));
sprintf(t,"%.1d",d);
cpgtext(d-25,-1.8,t);
d = 120;
cpgsci(depthcolor((float)d));
sprintf(t,"%.1d",d);
cpgtext(d-50,2.8,t);
d = 300;
cpgsci(depthcolor((float)d));
sprintf(t,"%.1d",d);
cpgtext(d-50,2.8,t);
cpgsch(FS);
cpgsci(1);
return;
}
int button::draw(){
cpgsvp(0.0,1.0,0.0,1.0);
cpgswin(0.0,1.0,0.0,1.0);
cpgsfs(2);
float xl, yl;
cpglen(4,label,&xl,&yl);
xmin = x-2.0*0.005;
xmax = x + xl + 2.0 * 0.005;
ymin = y-2.0*0.005;
ymax = y+0.015 + 2.0 * 0.005;
cpgsci(1);
cpgrect(x-0.005, x+xl+0.005, y-0.005, y+0.015 + 0.005);
cpgrect(x-2.0*0.005, x+xl+2.0*0.005, y-2.0*0.005, y+0.015 + 2.0*0.005);
cpgtext(x,y,label);
return(0);
}
int check::draw(){
if (on) {
cpgsci(2);
cpgsfs(1);
cpgrect(xmin,xmax,ymin,ymax);
cpgsci(1);
cpgsfs(2);
cpgrect(xmin,xmax,ymin,ymax);
}
else{
cpgsci(0);
cpgsfs(1);
cpgrect(xmin,xmax,ymin,ymax);
cpgsci(1);
cpgsfs(2);
cpgrect(xmin,xmax,ymin,ymax);
}
cpgtext(x+0.05,y,label);
return(0);
}
void scalemag() {
int i;
char t[24];
cpgsci(1);
cpgmtxt("T",1.0,0.0,0.0,"Mag.:");
cpgsvp(0.12, 0.25, 0.912, 0.922);
cpgswin(0.0, 11.0, 0.0, 2.0);
cpgsch(0.4);
for(i=0.0;i<10.0;i++) {
cpgsci(magcolor((float)i));
sprintf(t,"%.1d",i);
cpgtext(i+1-0.12,2.8,t);
cpgpt1(i+1,1.0,16);
}
cpgsch(FS);
cpgsci(1);
return;
}
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);
}
int main (int argc, char *argv[])
{
int ntimglobal=0; // number of time samples in original
int ngulp_original=0; // number of time samples to look at at once
int nskipstart=0; // number skipped at start
int nrejects; //ZAPPER
int zapswitch = 0; //ZAPPER
double tsamp_orig=0;
//gsearch setup & defaults
float Gsigmacut=6.0;
float delta, tstart;
vector<Gpulse> * Giant = new vector<Gpulse>[MAXFILES];
bool Gsearched=false;
int i,ntim,headersize[MAXFILES],noff=0,gulp;
float *time_series[MAXFILES],sum=0.0,sumsq=0.0,mean,meansq,sigma;
int MAXMARKERS = 1024;
int nfiles = 0;
FILE *inputfile[MAXFILES];
char filename[MAXFILES][256];
int spectra=0;
int powerspectra=0;
double dmoffirstfile;
char *killfile;
bool dokill=false;
bool ssigned=true;
bool fsigned=false;
int topfold=-1;
int topgiant=-1;
int toppeak=-1; //?!? sarah added this
bool askdevice=false;
char devicename[200];
if (argc<2 || help_required(argv[1])) {
helpmenu();
// fprintf(stderr,"Usage: giant filenames\n\t(e.g.>> giant *.tim)\n\n\t-s N\tskip N samples\n\t-n N\tread N samples\n\t-S read spectra instead of amplitudes\n-i interpret signed chars as unsigned\n\t-z make a zap list of bad time samples\n");
exit(0);
}
print_version(argv[0],argv[1]);
i=1;
while (i<argc) {
if (file_exists(argv[i])) {
inputfile[nfiles]=open_file(argv[i],"r");
strcpy(filename[nfiles],argv[i]);
nfiles++;
}
if (strings_equal(argv[i],"-s")) sscanf(argv[++i],"%d",&nskipstart);
if (strings_equal(argv[i],"-S")) spectra=1;
if (strings_equal(argv[i],"-i")) ssigned=false;
if (strings_equal(argv[i],"-f")) fsigned=true;
if (strings_equal(argv[i],"-n")) sscanf(argv[++i],"%d",&ngulp_original);
if (strings_equal(argv[i],"-c")) sscanf(argv[++i],"%f",&Gsigmacut);
if (strings_equal(argv[i],"-z")) zapswitch=1;
if (strings_equal(argv[i],"-g")) {askdevice=true;sscanf(argv[++i],"%s",&devicename);}
if (strings_equal(argv[i],"-k")) {killfile=(char*)malloc(strlen(argv[++i])+1); strcpy(killfile,argv[i]);dokill=true;}
if (nfiles>MAXFILES) error_message("too many open files");
i++;
}
int ntimglobal_smallest=0, nsamp;
for (i=0; i<nfiles; i++) {
if (spectra){
int npf;
double rate;
time_series[i]=Creadspec(filename[i],&npf,&rate);
tsamp = 1.0/(rate);
//normalise(npf,time_series[i]);
nsamp = ntimglobal = ntimglobal_smallest = npf;
}
else
{
if ((headersize[i]=read_header(inputfile[i]))) {
if (! fsigned){
if (isign > 0) {
ssigned=false;
fprintf(stderr,"using signed header variable to set UNSIGNED\n");
}
if (isign < 0) {
ssigned=true;
fprintf(stderr,"using signed header variable to set SIGNED\n");
}
}
if (i==0) dmoffirstfile = refdm;
if (nbits!=8 && nbits!=32)
error_message("giant currently only works for 8- or 32-bit data");
nsamp = nsamples(filename[i],headersize[i],nbits,nifs,nchans);
if (i == 0) {
ntimglobal_smallest=nsamp;
} else {
ntimglobal= nsamp;
if (ntimglobal < ntimglobal_smallest) ntimglobal_smallest = ntimglobal;
}
// Space for data (time_series)
time_series[i]=(float *) malloc((nsamp+2)*sizeof(float));
if (time_series[i]==NULL){
fprintf(stderr,"Error mallocing %d floats of %d size\n",nsamp,
sizeof(float));
exit(-1);
}
tsamp_orig = tsamp;
// Skip data
fprintf(stderr,"Skipping %d bytes\n",nskipstart*nbits/8);
fseek(inputfile[i],nskipstart*nbits/8,SEEK_CUR);
} // each file
} // spectra or not
} // for (i...)
puti(ntimglobal_smallest);
if (ngulp_original==0) ngulp_original=ntimglobal_smallest;
// ****** SAM'S ZAP SWITCH ******
// Sam Bates 2009
// Integrated into new giant by SBS
// Switch to make a .killtchan file for time samples > 3.5 sigma
// SARAHZAP tag means addition was added later by Sarah
// ******************************
int ngulp=ngulp_original;
// int nrejects_max=ngulp_original/100;
int * mown = new int[ngulp_original];
int nstart=0;
if (zapswitch){
float dummy;
int NActuallyRead;
char *buffer;
buffer = new char[ngulp*nbits/8];
for (i=0; i<nfiles; i++){
NActuallyRead = fread(buffer,nbits/8,ngulp,inputfile[i]);
if (nbits==32){
memcpy(time_series[i],buffer,sizeof(float)*ngulp);
} else {
for (int j=0;j<NActuallyRead;j++){
if (ssigned) time_series[i][j]=(float)buffer[j];
if (!ssigned) time_series[i][j]=(float)((unsigned char)buffer[j]);
}
}
puti(ngulp);
find_baseline(ngulp,time_series[i],10.0/tsamp,5.0);
mowlawn(ngulp,time_series[i],5,256);
}
printf("%f\n",dummy);
printf("Bad time samples found...\n");
exit(0);
}
int pgpID;
if (askdevice){
pgpID = cpgbeg(0,devicename,1,1);
} else {
pgpID = cpgbeg(0,"/xs",1,1);
}
cpgsch(0.5);
cpgtext(0.6,0.0,"Press 'h' over the main window for help and full options list.");
cpgsch(1.0);
/* create the dialog */
dialog * d = new dialog();
/* add the "action" buttons */
int QUIT = d->addbutton(0.02,0.95,"Quit");
int POWER = d->addbutton(0.07,0.85,"POWER");
int SMHRM = d->addbutton(0.075,0.80,"SMHRM");
int FFT = d->addbutton(0.02,0.85,"FFT");
int PLOT = d->addbutton(0.02,0.80,"Plot");
int NEXT = d->addbutton(0.02,0.75,"Next");
int ZAPPEAK = d->addbutton(0.075,0.75,"ZapPeak");
int RESET = d->addbutton(0.02,0.70,"Reset");
int GLOBALRESET = d->addbutton(0.02,0.65,"Global Reset");
int HALVEPLOT = d->addbutton(0.02,0.60,"Halve Plot");
int BASELINE = d->addbutton(0.02,0.50,"Baseline");
int ZAPCOMMON = d->addbutton(0.02,0.45,"Zap Common");
int SUBTRACTMEAN = d->addbutton(0.02,0.40,"ZAP Mean");
int BSCRUNCH = d->addbutton(0.02,0.35,"Bscrunch");
int NORMALISE = d->addbutton(0.02,0.30,"Normalise");
int HISTOGRAM = d->addbutton(0.02,0.25,"Histogram");
int GSEARCH = d->addbutton(0.02,0.20,"Find Giants");
int MOWLAWN = d->addbutton(0.08,0.70,"LAWN");
int SEEFIL = d->addbutton(0.02,0.15,"View Band");
int FWRITE = d->addbutton(0.02,0.05,"Write File");
/* add the plot regions */
d->addplotregion(0.2,0.99,0.98,0.99);
float deltay = 0.9/(float)nfiles;
for (i=0; i<nfiles; i++)
d->addplotregion(0.2,0.99,0.95-deltay*(float)(i+1),0.95-deltay*(float)i);
d->draw();
float x,y;
char ans;
int button=-1; int plotno=-1;
int NPIXELS = 1024;
float * xaxis = new float[NPIXELS];
float * ymaxes = new float[NPIXELS];
float * ymins = new float[NPIXELS];
int scrunch=1;
int nmarkers=0;
int * markers= new int[MAXMARKERS];
int nfileptr=nskipstart;
int nplot=ngulp_original;
nstart=0; //COMMENTED IN ZAPPER VERSION: MAY CAUSE CONFLICTS IN THIS VER.
ngulp=ngulp_original; //COMMENTED IN ZAPPER VERSION: MAY CAUSE CONFLICTS IN THIS VER.
double trialperiod;
int doperiod=-1;
double xperiod;
bool zoneplot=false;
int ngates=0;
float xgate=0.0;
button=NEXT;
if (spectra) button = PLOT;
while (button!=QUIT){
// Plot the zone
// Entire file is white
if (button!=NEXT)button=d->manage(&x,&y,&ans,&plotno);
if (ans=='h'){
buttonexplain();
continue;
}
// printf("manage x %f y %f plotno %d\n",x,y,plotno);
if (button==BASELINE) {
for (i=0; i<nfiles; i++){
find_baseline(ngulp,time_series[i],10.0/tsamp,5.0);
}
button = PLOT;
zoneplot=false;
plotno = -1;
}
if (button==FWRITE) {
// reread first header and close it. Sets globals.
fclose(inputfile[0]);
inputfile[0]=open_file(argv[1],"r");
headersize[0]=read_header(inputfile[0]);
output = open_file("giant.tim","w");
nobits=32;
nbands=1;
dedisperse_header();
fprintf(stderr,"Opened file, writing data\n");
fwrite(time_series[0],sizeof(float),ngulp,output);
fclose(output);
button = -1;
zoneplot=false;
plotno =-1;
}
if (button==BSCRUNCH) {
for (i=0; i<nfiles; i++){
bscrunch(ngulp,time_series[i]);
}
tsamp*=2;
scrunch*=2;
ngulp/=2;
nplot/=2;
button = PLOT;
zoneplot=false;
Gsearched=false;
plotno = -1;
}
if (button==FFT) {
for (i=0; i<nfiles; i++){
ngulp = ngulp_original;
find_fft(&ngulp,time_series[i]);
// Zap DC spike
time_series[i][0]=0.0;
time_series[i][1]=0.0;
}
spectra = 1;
nplot = ngulp;
button = PLOT;
Gsearched=false;
plotno = -1;
}
if (button==POWER) {
for (i=0; i<nfiles; i++){
find_formspec(ngulp,time_series[i]);
}
ngulp/=2;
powerspectra = 1;
nplot = ngulp;
button = PLOT;
plotno = -1;
}
if (button==SMHRM) {
nfiles = 6;
for (i=1; i<nfiles; i++){
time_series[i]=(float *) malloc((ngulp+2)*sizeof(float));
if (time_series[i]==NULL){
fprintf(stderr,"Error allocating memory\n");
exit(-1);
}
}
for (i=1;i<nfiles;i++) memcpy(time_series[i],time_series[0],
(ngulp+2)*sizeof(float));
d->nplotregion=1;
float deltay = 0.9/(float)nfiles;
for (i=0; i<nfiles; i++)
d->addplotregion(0.2,0.99,0.95-deltay*(float)(i+1),
0.95-deltay*(float)i);
cpgeras();
d->draw();
float * workspace = new float[ngulp];
// Set up space for data, now actually sumhrm
int one=1;
newoldsumhrm_(&time_series[0][1],workspace,&ngulp,&one,
// newoldsumhrm_(&time_series[0][0],workspace,&ngulp,&one,
time_series[1],time_series[2],time_series[3],
time_series[4],time_series[5]);
/* newnewsumhrm_(time_series[0],&ngulp,&one,
time_series[1],time_series[2],time_series[3],
time_series[4],time_series[5]);*/
for (int iff=2;iff<6;iff++){
for (int i=0;i<ngulp;i++){
time_series[iff][i]/=sqrt(pow(2.0,(float)(iff-1)));
}
}
delete [] workspace;
button = PLOT;
plotno = -1;
}
if (button==NORMALISE) {
for (i=0; i<nfiles; i++){
normalise(ngulp,time_series[i],5.0);
}
button = PLOT;
Gsearched=false;
plotno = -1;
}
if (button==HISTOGRAM) {
float pdfs[nfiles][MAXSIGMA];
// create pdfs for each beam
for (int i=0;i<nfiles;i++)
formpdf(pdfs[i],MAXSIGMA,ngulp,time_series[i]);
for (int i=0;i<nfiles;i++){
for (int j=0;j<MAXSIGMA; j++){
fprintf(stderr, "pdfs[%d][%2d]=%8.0f %f \%\n", i, j+1, pdfs[i][j], 100*pdfs[i][j]/ngulp);
}
}
button = PLOT;
plotno = -1;
}
if (button==HALVEPLOT) {
nplot/=2;
button = PLOT;
zoneplot=true;
Gsearched=false;
plotno = -1;
}
if (button==GLOBALRESET) {
plotno = -1;
nstart = 0;
scrunch=1;
tsamp = tsamp_orig;
nplot=ngulp_original;
ngulp=ngulp_original;
button=PLOT;
// Skip to end of skipped data
for (i=0; i<nfiles; i++){
fseek(inputfile[i],-(nfileptr-nskipstart)*nbits/8,SEEK_CUR);
Giant[i].clear();
}
nfileptr=nskipstart;
zoneplot=false;
Gsearched=false;
doperiod=-1;
button=NEXT;
}
if (button==SUBTRACTMEAN && nfiles>1) {
plotno = -1;
nstart = 0;
nplot=ngulp_original;
ngulp=ngulp_original;
button=PLOT;
// Skip to end of skipped data
for (int jj=0;jj<ngulp;jj++){
float sum;
sum=0.0;
for (i=1;i<nfiles;i++){
sum+=time_series[i][jj];
}
time_series[0][jj]-=sum/(float(nfiles-1));
}
Gsearched=false;
}
if (button==ZAPCOMMON && nfiles>1) {
plotno = -1;
nstart = 0;
nplot=ngulp_original;
ngulp=ngulp_original;
button=PLOT;
float pdfs[nfiles][MAXSIGMA];
// create pdfs for each beam
for (int i=0;i<nfiles;i++)
formpdf(pdfs[i],MAXSIGMA,ngulp,time_series[i]);
// for each point in each beam, mask if improbable
float thresh = 3.0;
int nbeammax = 5;
zap_improbables(pdfs,time_series,nfiles,ngulp,MAXSIGMA,thresh,nbeammax);
// Skip to end of skipped data
//for (int jj=0;jj<ngulp;jj++){
// float sum;
// sum=0.0;
// for (i=1;i<nfiles;i++){
// sum+=time_series[i][jj];
// }
// time_series[0][jj]-=sum/(float(nfiles-1));
//}
//Gsearched=false;
}
if (button==NEXT) {
ngulp=ngulp_original;
nstart=0;
nplot=ngulp_original;
// Read the data
int NActuallyRead;
// unsigned char *buffer;
char *buffer;
buffer = new char[ngulp*nbits/8];
//buffer = new char[ngulp*nbits/8];
for (i=0; i<nfiles; i++) {
// NActuallyRead = fread(time_series[i],sizeof(float),ngulp,inputfile[i]);
NActuallyRead = fread(buffer,nbits/8,ngulp,inputfile[i]);
if (nbits==32){
memcpy(time_series[i],buffer,sizeof(float)*ngulp);
} else {
for (int j=0;j<NActuallyRead;j++){
if (ssigned) time_series[i][j]=(float)buffer[j];
if (!ssigned) time_series[i][j]=(float)((unsigned char)buffer[j]);
}
}
puti(ngulp);
if (NActuallyRead!=ngulp){
fprintf(stderr,"Could not read %d floats from file\n",ngulp);
ngulp = NActuallyRead;
}
if(nfiles==1){
// Add fake pulsar here....
// for (int ii=0;ii<ngulp;ii++) time_series[i][ii]+= 10.0*pow(sin(float(ii*2.0*M_PI/60.0)),250.0);
}
//normalise(ngulp,time_series[i]);
}
nfileptr+=ngulp;
button = PLOT;
plotno= -1;
zoneplot=true;
}
if (button==RESET) {
button = plotno = -1;
nstart=0;
nplot=ngulp;
button=PLOT;
zoneplot=true;
Gsearched=false;
if (ans=='p'){
doperiod=-1;
}
}
if (plotno>0){
/* if (ans=='p'){ // hit p on a plot to type in a period
d->plotregions[plotno].reset();
//plot the thing;
fprintf(stderr,"Please enter a period in seconds: ");
cin>>trialperiod;
xperiod = x;
doperiod=plotno;
button=PLOT;
}*/
if (ans=='p'){ // hit p on a plot to type in a period
d->plotregions[plotno].reset();
//plot the thing;
fprintf(stderr,"Please enter a period in seconds: ");
cin>>trialperiod;
xperiod = (double)x;
doperiod=plotno;
button=PLOT;
}
if (ans=='m'){ // subtract 0.0000005 seconds from period
d->plotregions[plotno].reset();
trialperiod-=0.0000005;
fprintf(stderr,"Trial period is now %lf\n",trialperiod);
doperiod=plotno;
button=PLOT;
}
if (ans=='/'){ // add 0.0000005 seconds to period
d->plotregions[plotno].reset();
trialperiod+=0.0000005;
fprintf(stderr,"Trial period is now %lf\n",trialperiod);
doperiod=plotno;
button=PLOT;
}
if (ans==','){ // subtract 0.000005 seconds from period
d->plotregions[plotno].reset();
trialperiod-=0.000005;
fprintf(stderr,"Trial period is now %lf\n",trialperiod);
doperiod=plotno;
button=PLOT;
}
if (ans=='.'){ // add 0.000005 seconds to period
d->plotregions[plotno].reset();
trialperiod+=0.000005;
fprintf(stderr,"Trial period is now %lf\n",trialperiod);
doperiod=plotno;
button=PLOT;
}
if (ans=='<'){ // subtract 0.001 seconds from period
d->plotregions[plotno].reset();
trialperiod-=0.001;
fprintf(stderr,"Trial period is now %lf\n",trialperiod);
doperiod=plotno;
button=PLOT;
}
if (ans=='>'){ // add 0.001 seconds to period
d->plotregions[plotno].reset();
trialperiod+=0.001;
fprintf(stderr,"Trial period is now %lf\n",trialperiod);
doperiod=plotno;
button=PLOT;
}
if (ans=='X'){ // right click two points on a plot to calculate and plot a period
d->plotregions[plotno].reset();
cpgsci(3);
cpgmove(x,-1000);
cpgdraw(x,1000);
if (ngates==0){
xgate=x;
ngates++;
} else {
min_means_min(&x,&xgate);
printf("Period from %f to %f is %f\n",x,xgate,xgate-x);
doperiod=plotno;
xperiod = (double)x;
trialperiod=(double)(xgate-x);
ngates=0;
button=PLOT;
}
}
if (ans=='D'){
markers[nmarkers]=(int)(x/NPIXELS)*nplot+nstart+nfileptr-ngulp;
nmarkers++;
zoneplot=true;
}
if (ans=='A'){
d->plotregions[plotno].reset();
cpgsci(2);
cpgmove(x,-1000);
cpgdraw(x,1000);
if (ngates==0){
xgate=x;
ngates++;
} else {
min_means_min(&x,&xgate);
// printf("x %f xgate %f tstart %f\n",x,xgate,tstart);
nstart=(int)((x-tstart)/delta)+nstart;
nplot=(int)((xgate-x)/delta);
//if (nplot<NPIXELS) nplot=NPIXELS;
ngates=0;
button=PLOT;
zoneplot=true;
// printf("nplot %d nstart %d\n",nplot,nstart);
}
}
if (ans=='z'){
if (NPIXELS>nplot) {
nstart+=(int)x;
}else
nstart=(int)(x/(float)NPIXELS*nplot)+nstart;
printf("nstart %d\n",nstart);
nplot/=4;
printf("nplot %d\n",nplot);
nstart-=nplot/2;
printf("nstart %d\n",nstart);
//if (nplot<NPIXELS){nplot=NPIXELS;}
button=PLOT;
zoneplot=true;
}
}
int main()
{
char text[80];
int ci, crval1, crval2, ilat, ilng, j, k, latpole, lonpole, stat[361],
status;
float xr[512], yr[512];
double lat[181], lng[361], phi[361], theta[361], x[361], y[361];
struct celprm native, celestial;
printf(
"Testing WCSLIB celestial coordinate transformation routines (tcel1.c)\n"
"---------------------------------------------------------------------\n");
/* List status return messages. */
printf("\nList of cel status return values:\n");
for (status = 1; status <= 6; status++) {
printf("%4d: %s.\n", status, cel_errmsg[status]);
}
printf("\n");
/* Initialize. */
celini(&native);
/* Reference angles for the native graticule (in fact, the defaults). */
native.ref[0] = 0.0;
native.ref[1] = 0.0;
/* Set up Bonne's projection with conformal latitude at +35. */
strcpy(native.prj.code, "BON");
native.prj.pv[1] = 35.0;
/* Celestial graticule. */
celini(&celestial);
celestial.prj = native.prj;
/* PGPLOT initialization. */
strcpy(text, "/xwindow");
cpgbeg(0, text, 1, 1);
/* Define pen colours. */
cpgscr(0, 0.0f, 0.0f, 0.0f);
cpgscr(1, 1.0f, 1.0f, 0.0f);
cpgscr(2, 1.0f, 1.0f, 1.0f);
cpgscr(3, 0.5f, 0.5f, 0.8f);
cpgscr(4, 0.8f, 0.5f, 0.5f);
cpgscr(5, 0.8f, 0.8f, 0.8f);
cpgscr(6, 0.5f, 0.5f, 0.8f);
cpgscr(7, 0.8f, 0.5f, 0.5f);
cpgscr(8, 0.3f, 0.5f, 0.3f);
/* Define PGPLOT viewport. */
cpgenv(-180.0f, 180.0f, -90.0f, 140.0f, 1, -2);
/* Loop over CRVAL2, LONPOLE, and LATPOLE with CRVAL1 incrementing by */
/* 15 degrees each time (it has an uninteresting effect). */
crval1 = -180;
for (crval2 = -90; crval2 <= 90; crval2 += 30) {
for (lonpole = -180; lonpole <= 180; lonpole += 30) {
for (latpole = -1; latpole <= 1; latpole += 2) {
/* For the celestial graticule, set the celestial coordinates of
* the reference point of the projection (which for Bonne's
* projection is at the intersection of the native equator and
* prime meridian), the native longitude of the celestial pole,
* and extra information needed to determine the celestial
* latitude of the native pole. These correspond to FITS keywords
* CRVAL1, CRVAL2, LONPOLE, and LATPOLE.
*/
celestial.ref[0] = (double)crval1;
celestial.ref[1] = (double)crval2;
celestial.ref[2] = (double)lonpole;
celestial.ref[3] = (double)latpole;
/* Skip invalid values of LONPOLE. */
if (celset(&celestial)) {
continue;
}
/* Skip redundant values of LATPOLE. */
if (latpole == 1 && fabs(celestial.ref[3]) < 0.1) {
continue;
}
/* Buffer PGPLOT output. */
cpgbbuf();
cpgeras();
/* Write a descriptive title. */
sprintf(text, "Bonne's projection (BON) - 15 degree graticule");
printf("\n%s\n", text);
cpgtext(-180.0f, -100.0f, text);
sprintf(text, "centred on celestial coordinates (%7.2f,%6.2f)",
celestial.ref[0], celestial.ref[1]);
printf("%s\n", text);
cpgtext (-180.0f, -110.0f, text);
sprintf(text, "with north celestial pole at native coordinates "
"(%7.2f,%7.2f)", celestial.ref[2], celestial.ref[3]);
printf("%s\n", text);
cpgtext(-180.0f, -120.0f, text);
/* Draw the native graticule faintly in the background. */
cpgsci(8);
/* Draw native meridians of longitude. */
for (j = 0, ilat = -90; ilat <= 90; ilat++, j++) {
lat[j] = (double)ilat;
}
for (ilng = -180; ilng <= 180; ilng += 15) {
lng[0] = (double)ilng;
if (ilng == -180) lng[0] = -179.99;
if (ilng == 180) lng[0] = 179.99;
/* Dash the longitude of the celestial pole. */
if ((ilng-lonpole)%360 == 0) {
cpgsls(2);
cpgslw(5);
}
cels2x(&native, 1, 181, 1, 1, lng, lat, phi, theta, x, y, stat);
k = 0;
for (j = 0; j < 181; j++) {
if (stat[j]) {
if (k > 1) cpgline(k, xr, yr);
k = 0;
continue;
}
xr[k] = -x[j];
yr[k] = y[j];
k++;
}
cpgline(k, xr, yr);
cpgsls(1);
cpgslw(1);
}
/* Draw native parallels of latitude. */
lng[0] = -179.99;
lng[360] = 179.99;
for (j = 1, ilng = -179; ilng < 180; ilng++, j++) {
lng[j] = (double)ilng;
}
for (ilat = -90; ilat <= 90; ilat += 15) {
lat[0] = (double)ilat;
cels2x(&native, 361, 1, 1, 1, lng, lat, phi, theta, x, y, stat);
k = 0;
for (j = 0; j < 361; j++) {
if (stat[j]) {
if (k > 1) cpgline(k, xr, yr);
k = 0;
continue;
}
xr[k] = -x[j];
yr[k] = y[j];
k++;
}
cpgline(k, xr, yr);
}
/* Draw a colour-coded celestial coordinate graticule. */
ci = 1;
/* Draw celestial meridians of longitude. */
for (j = 0, ilat = -90; ilat <= 90; ilat++, j++) {
lat[j] = (double)ilat;
}
for (ilng = -180; ilng <= 180; ilng += 15) {
lng[0] = (double)ilng;
if (++ci > 7) ci = 2;
cpgsci(ilng?ci:1);
/* Dash the reference longitude. */
if ((ilng-crval1)%360 == 0) {
cpgsls(2);
cpgslw(5);
}
cels2x(&celestial, 1, 181, 1, 1, lng, lat, phi, theta, x, y, stat);
k = 0;
for (j = 0; j < 181; j++) {
if (stat[j]) {
if (k > 1) cpgline(k, xr, yr);
k = 0;
continue;
}
/* Test for discontinuities. */
if (j > 0) {
if (fabs(x[j]-x[j-1]) > 4.0 || fabs(y[j]-y[j-1]) > 4.0) {
if (k > 1) cpgline(k, xr, yr);
k = 0;
}
}
xr[k] = -x[j];
yr[k] = y[j];
k++;
}
cpgline(k, xr, yr);
cpgsls(1);
cpgslw(1);
}
/* Draw celestial parallels of latitude. */
for (j = 0, ilng = -180; ilng <= 180; ilng++, j++) {
lng[j] = (double)ilng;
}
ci = 1;
for (ilat = -90; ilat <= 90; ilat += 15) {
lat[0] = (double)ilat;
if (++ci > 7) ci = 2;
cpgsci(ilat?ci:1);
/* Dash the reference latitude. */
if (ilat == crval2) {
cpgsls(2);
cpgslw(5);
}
cels2x(&celestial, 361, 1, 1, 1, lng, lat, phi, theta, x, y, stat);
k = 0;
for (j = 0; j < 361; j++) {
if (stat[j]) {
if (k > 1) cpgline(k, xr, yr);
k = 0;
continue;
}
/* Test for discontinuities. */
if (j > 0) {
if (fabs(x[j]-x[j-1]) > 4.0 || fabs(y[j]-y[j-1]) > 4.0) {
if (k > 1) cpgline(k, xr, yr);
k = 0;
}
}
xr[k] = -x[j];
yr[k] = y[j];
k++;
}
cpgline(k, xr, yr);
cpgsls(1);
cpgslw(1);
}
/* Flush PGPLOT buffer. */
cpgebuf();
printf(" Type <RETURN> for next page: ");
getc(stdin);
/* Cycle through celestial longitudes. */
if ((crval1 += 15) > 180) crval1 = -180;
/* Skip boring celestial latitudes. */
if (crval2 == 0) break;
}
if (crval2 == 0) break;
}
}
cpgask(0);
cpgend();
return 0;
}
int radio::draw(){
if (on) fillcircle(x,y,2); else fillcircle(x,y,0);
cpgsci(1);
cpgtext(x+0.02,y-0.005,label);
return(0);
}
int main()
{
/* Set up a 2 x 2 lookup table. */
const int M = 2;
const int K[] = {K1, K2};
const int map[] = {0, 1};
const double crval[] = {0.0, 0.0};
char text[80];
int i, j, k, l, l1, l2, l3, lstep, m, stat[NP*NP], status;
float array[NP][NP], clev[31], v0, v1, w;
const float scl = 2.0f/(NP-1);
float ltm[6];
double x[NP][NP][2], world[NP][NP][2];
struct tabprm tab;
printf("Testing WCSLIB coordinate lookup table routines (ttab2.c)\n"
"---------------------------------------------------------\n");
/* List status return messages. */
printf("\nList of tab status return values:\n");
for (status = 1; status <= 5; status++) {
printf("%4d: %s.\n", status, tab_errmsg[status]);
}
printf("\n");
/* PGPLOT initialization. */
strcpy(text, "/xwindow");
cpgbeg(0, text, 1, 1);
cpgvstd();
cpgsch(0.7f);
/* The viewport is slightly oversized. */
cpgwnad(-0.65f, 1.65f, -0.65f, 1.65f);
for (l = 0; l <= 30; l++) {
clev[l] = 0.2f*(l-10);
}
ltm[0] = -scl*(1.0f + (NP-1)/4.0f);
ltm[1] = scl;
ltm[2] = 0.0f;
ltm[3] = -scl*(1.0f + (NP-1)/4.0f);
ltm[4] = 0.0f;
ltm[5] = scl;
/* Set up the lookup table. */
tab.flag = -1;
if ((status = tabini(1, M, K, &tab))) {
printf("tabini ERROR %d: %s.\n", status, tab_errmsg[status]);
return 1;
}
tab.M = M;
for (m = 0; m < tab.M; m++) {
tab.K[m] = K[m];
tab.map[m] = map[m];
tab.crval[m] = crval[m];
for (k = 0; k < tab.K[m]; k++) {
tab.index[m][k] = (double)k;
}
}
/* Subdivide the interpolation element. */
for (i = 0; i < NP; i++) {
for (j = 0; j < NP; j++) {
x[i][j][0] = j*(K1-1.0)*scl - 0.5 - crval[0];
x[i][j][1] = i*(K2-1.0)*scl - 0.5 - crval[1];
}
}
/* The first coordinate element is static. */
tab.coord[0] = 0.0;
tab.coord[2] = 0.0;
tab.coord[4] = 0.0;
tab.coord[6] = 0.0;
/* (k1,k2) = (0,0). */
tab.coord[1] = 0.0;
/* The second coordinate element varies in three of the corners. */
for (l3 = 0; l3 <= 100; l3 += 20) {
/* (k1,k2) = (1,1). */
tab.coord[7] = 0.01 * l3;
for (l2 = 0; l2 <= 100; l2 += 20) {
/* (k1,k2) = (0,1). */
tab.coord[5] = 0.01 * l2;
cpgpage();
for (l1 = 0; l1 <= 100; l1 += 2) {
/* (k1,k2) = (1,0). */
tab.coord[3] = 0.01 * l1;
/* Compute coordinates within the interpolation element. */
tab.flag = 0;
if ((status = tabx2s(&tab, NP*NP, 2, (double *)x, (double *)world,
stat))) {
printf("tabx2s ERROR %d: %s.\n", status, tab_errmsg[status]);
}
/* Start a new plot. */
cpgbbuf();
cpgeras();
cpgsci(1);
cpgslw(3);
cpgbox("BCNST", 0.0f, 0, "BCNSTV", 0.0f, 0);
cpgmtxt("T", 0.7f, 0.5f, 0.5f, "-TAB coordinates: "
"linear interpolation / extrapolation in 2-D");
/* Draw the boundary of the interpolation element in red. */
cpgsci(2);
cpgmove(-0.5f, 0.0f);
cpgdraw( 1.5f, 0.0f);
cpgmove( 1.0f, -0.5f);
cpgdraw( 1.0f, 1.5f);
cpgmove( 1.5f, 1.0f);
cpgdraw(-0.5f, 1.0f);
cpgmove( 0.0f, 1.5f);
cpgdraw( 0.0f, -0.5f);
/* Label the value of the coordinate element in each corner. */
sprintf(text, "%.1f", tab.coord[1]);
cpgtext(-0.09f, -0.05f, text);
sprintf(text, "%.2f", tab.coord[3]);
cpgtext( 1.02f, -0.05f, text);
sprintf(text, "%.1f", tab.coord[5]);
cpgtext(-0.13f, 1.02f, text);
sprintf(text, "%.1f", tab.coord[7]);
cpgtext( 1.02f, 1.02f, text);
cpgsci(1);
/* Contour labelling: bottom. */
v0 = world[0][0][1];
v1 = world[0][NP-1][1];
if (v0 != v1) {
lstep = (abs((int)((v1-v0)/0.2f)) < 10) ? 20 : 40;
for (l = -200; l <= 300; l += lstep) {
w = -0.5f + 2.0f * (l*0.01f - v0) / (v1 - v0);
if (w < -0.5 || w > 1.5) continue;
sprintf(text, "%4.1f", l*0.01f);
cpgptxt(w+0.04f, -0.56f, 0.0f, 1.0f, text);
}
}
/* Contour labelling: left. */
v0 = world[0][0][1];
v1 = world[NP-1][0][1];
if (v0 != v1) {
lstep = (abs((int)((v1-v0)/0.2f)) < 10) ? 20 : 40;
for (l = -200; l <= 300; l += lstep) {
w = -0.5f + 2.0f * (l*0.01f - v0) / (v1 - v0);
if (w < -0.5 || w > 1.5) continue;
sprintf(text, "%4.1f", l*0.01f);
cpgptxt(-0.52f, w-0.02f, 0.0f, 1.0f, text);
}
}
/* Contour labelling: right. */
v0 = world[0][NP-1][1];
v1 = world[NP-1][NP-1][1];
if (v0 != v1) {
lstep = (abs((int)((v1-v0)/0.2f)) < 10) ? 20 : 40;
for (l = -200; l <= 300; l += lstep) {
w = -0.5f + 2.0f * (l*0.01f - v0) / (v1 - v0);
if (w < -0.5 || w > 1.5) continue;
sprintf(text, "%.1f", l*0.01f);
cpgptxt(1.52f, w-0.02f, 0.0f, 0.0f, text);
}
}
/* Contour labelling: top. */
v0 = world[NP-1][0][1];
v1 = world[NP-1][NP-1][1];
if (v0 != v1) {
lstep = (abs((int)((v1-v0)/0.2f)) < 10) ? 20 : 40;
for (l = -200; l <= 300; l += lstep) {
w = -0.5f + 2.0f * (l*0.01f - v0) / (v1 - v0);
if (w < -0.5 || w > 1.5) continue;
sprintf(text, "%4.1f", l*0.01f);
cpgptxt(w+0.04f, 1.52f, 0.0f, 1.0f, text);
}
}
/* Draw contours for the second coordinate element. */
for (i = 0; i < NP; i++) {
for (j = 0; j < NP; j++) {
array[i][j] = world[i][j][1];
}
}
cpgsci(4);
cpgslw(2);
cpgcont(array[0], NP, NP, 1, NP, 1, NP, clev, 10, ltm);
cpgsci(7);
cpgcont(array[0], NP, NP, 1, NP, 1, NP, clev+10, 1, ltm);
cpgsci(5);
cpgcont(array[0], NP, NP, 1, NP, 1, NP, clev+11, 20, ltm);
cpgebuf();
}
}
}
cpgend();
tabfree(&tab);
return 0;
}
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();
}
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);
}
static void _pgtext (double *x, double *y, char *s)
{
cpgtext ((float) *x, (float) *y, s);
}
