Esempio n. 1
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fig = plt.figure(figsize=figsize)

##############
# left panel #
##############
ax = plt.subplot(121, projection=imap.wcs)
opts = {
    'cmap': 'magma',
    'norm': colors.LogNorm(vmin=1e-2, vmax=3),
}
plotstyle.setup_axis(ax, nticks=[5, 5], fmt=None)
P = np.sum(imap[1:]**2, axis=0)**0.5
im = ax.imshow(P, **opts)
ax.set_xlabel('$l$')
ax.set_ylabel('$b$')
cax = plotstyle.add_colorbar_hpad(ax, pad="1%", hpad="50%")
fig.colorbar(im, cax=cax, orientation='horizontal',
             shrink='50%').set_label(texify("P [MJy/sr]"), fontsize=12)
cax.xaxis.set_label_position('top')
cax.xaxis.set_ticks_position('top')
ax.text(0.15, 1.03, texify("f090"), transform=ax.transAxes, fontsize=14)
ax.tick_params(axis='x', colors='white', which='both', labelcolor='black')
ax.tick_params(axis='y', colors='white', which='both', labelcolor='black')
ax.set_aspect('equal')
for side in ['left', 'right', 'top', 'bottom']:
    ax.spines[side].set_visible(True)
    ax.spines[side].set_color('white')

###############
# right panel #
###############
Esempio n. 2
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# contour plot
# l_ = np.percentile(np.ravel(irmap), [70,80,90])
l_ = np.percentile(np.ravel(irmap), [50, 70, 90])
levels = [irmap.min(), l_[0], l_[1], l_[2], irmap.max()]
ax.contour(X_,
           Y_,
           irmap,
           levels=levels,
           cmap='gray',
           transform=ax.get_transform('world'))
ax.set_xlabel('$l$')
ax.set_ylabel('$b$')
# add colorbar
# cax = plotstyle.add_colorbar(fig, ax)
# cbar = fig.colorbar(im, cax=cax)
cax = plotstyle.add_colorbar_hpad(ax, hpad="50%", size="2%")
cbar = fig.colorbar(im, cax=cax, orientation="horizontal")
cbar.set_label(texify("I [MJy/sr]"), fontsize=10)
cbar.set_ticks([30, 40, 60, 80])
cbar.set_ticklabels([texify("30"), texify("40"), texify("60"), texify("80")])
cax.xaxis.set_ticks_position('top')
cax.xaxis.set_label_position('top')
ax.text(0.12, 1.02, texify("f220"), transform=ax.transAxes, fontsize=14)

# right panel
# ax = plt.subplot(122, projection=irmap.wcs)
ax = plt.subplot(122, projection=irmap.wcs)
plotstyle.setup_axis(ax, yticks=False, nticks=[5, 5], fmt=None)
opts.update({
    'vmin': None,
    'vmax': None,
Esempio n. 3
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    if title: label = f'{title}: ' + label
else:
    noise = lib.P_error(imap, ivar * s**2)
    label = "Noise (P)"
    if title: label = f'{title}: ' + label

# start plotting
opts = {'cmap': 'gray', 'vmin': args.min, 'vmax': args.max}
fig = plt.figure()
ax = plt.subplot(111, projection=imap.wcs)
plotstyle.setup_axis(ax, nticks=[5, 5], fmt=None)
im = ax.imshow(noise, **opts)
plt.xlabel('$l$')
plt.ylabel('$b$')

cax = plotstyle.add_colorbar_hpad(ax)
fig.colorbar(im, cax=cax, orientation='horizontal').set_label(
    texify(f"{label} {fcode} [MJy/sr]"), fontsize=12)
cax.xaxis.set_ticks_position('top')
cax.xaxis.set_label_position('top')
# save figure: make sure the output file has proper name
ofile = op.join(args.odir, args.oname)
print("Writing:", ofile)
plt.savefig(ofile, bbox_inches='tight')
# optionally save the snr map as a fits file
if args.save is not None:
    if not args.pol: ofile = f'snr_{fcode}.fits'
    else: ofile = f'snr_{fcode}_pol.fits'
    ofile = op.join(args.save, ofile)
    print("Writing:", ofile)
    enmap.write_map(ofile, snr)
Esempio n. 4
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Y_, X_ = irmap.posmap() / np.pi * 180
# contour plot
l_ = np.percentile(np.ravel(irmap), [50, 70, 90])
levels = [irmap.min(), l_[0], l_[1], l_[2], irmap.max()]
ax.contour(X_,
           Y_,
           irmap,
           levels=levels,
           cmap='gray',
           transform=ax.get_transform('world'))
ax.set_xlabel('$l$')
ax.set_ylabel('$b$')
# add colorbar
# cax = plotstyle.add_colorbar(fig, ax)
locator = ticker.MaxNLocator(nbins=5)
cax = plotstyle.add_colorbar_hpad(ax, hpad='50%', loc='top')
cb = fig.colorbar(im,
                  cax=cax,
                  orientation='horizontal',
                  ticks=locator,
                  ticklocation='top')
cb.set_label(texify("I [MJy/sr]"), fontsize=12)
ax.text(0.15, 1.03, texify("f220"), transform=ax.transAxes, fontsize=14)

# right panel
ax = plt.subplot(122, projection=irmap.wcs)
plotstyle.setup_axis(ax, yticks=False, nticks=[5, 5], fmt=None)
im = ax.imshow(irmap, **opts)
# polarization angle plot
# reload imap to get the original resolution
theta = lib.Bangle(imap[1], imap[2], toIAU=True)