def make_plot(Nmu=4):
"""Does the work of making the real-space xi(r) and b(r) figure."""
mubins = np.linspace(0, 1, Nmu + 1)
mus = 0.5 * (mubins[1:] + mubins[:-1])
fig, axar = plt.subplots(2, 3, figsize=(9, 6), sharex=True, sharey=True)
#fits
linestyle = ['-', '--']
colors = ['C0', 'C1', 'C2']
lww = 2
for ia, aa in enumerate([0.3333, 0.2000, 0.1429]):
zz = 1 / aa - 1
for iw, wopt in enumerate(['opt', 'pess']):
lss = linestyle[iw]
#for it, thopt in enumerate(['opt', 'pess', 'reas']):
for it, thopt in enumerate(['reas']):
if rank == 0: print(aa, wopt, thopt)
cc = colors[ia]
try:
angle = np.round(mapn.wedge(zz, att=wopt, angle=True), 0)
dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_%s/' % (
aa, 0.03, wopt)
dpath += 'L%04d-N%04d-R//thermal-%s-hex/ZA/opt_s999_h1massA_fourier_rsdpos/' % (
bs, nc, thopt)
ofolder = '../../data/ZArecon-rsd/kmin-003_wedge-%s/thermal-%s-hex/Nmu%d/' % (
wopt, thopt, Nmu)
if args.pp: suff = '-up'
else: suff = ''
k2d = np.loadtxt(ofolder + 'recon-L%04d_%0.4f%s-k.txt' %
(bs, aa, suff))
pxr = np.loadtxt(ofolder + 'recon-L%04d_%0.4f%s-xs.txt' %
(bs, aa, suff))
pr = np.loadtxt(ofolder + 'recon-L%04d_%0.4f%s-ps1.txt' %
(bs, aa, suff))
ps = np.loadtxt(ofolder + 'recon-L%04d_%0.4f%s-ps2.txt' %
(bs, aa, suff))
pstd = np.loadtxt(ofolder + 'std-L%04d_%0.4f%s.txt' %
(bs, aa, suff))
pxstd = np.loadtxt(ofolder + 'xstd-L%04d_%0.4f%s.txt' %
(bs, aa, suff))
rcc2d = pxr / (pr * ps)**0.5
rccstd2d = pxstd / (pstd * ps)**0.5
ofolder = '../../data/ZArecon-rsd/kmin-003_wedge-%s/thermal-%s-hex/' % (
wopt, thopt)
if args.pp: suff = '-up'
else: suff = ''
recon = np.loadtxt(ofolder + 'recon-L%04d_%0.4f%s.txt' %
(bs, aa, suff))
pstd = np.loadtxt(ofolder + 'std-L%04d_%0.4f%s.txt' %
(bs, aa, suff))[:, 1]
pxstd = np.loadtxt(ofolder + 'xstd-L%04d_%0.4f%s.txt' %
(bs, aa, suff))[:, 1]
k = recon[:, 0]
rcc = recon[:, 2] / (recon[:, 6] * recon[:, 7])**0.5
rccstd = pxstd / (pstd * recon[:, 7])**0.5
lbl, lbl1, lbl2 = None, None, None
if iw == 0:
lbl1 = 'z = %0.1f' % zz
if ia == 0:
lbl2 = 'Wedge = %s' % wopt
ax = axar.T
ax[0, 0].plot(k, rcc, ls=lss, lw=lww, color=cc, label=lbl1)
ax[0, 1].plot(k,
rccstd,
ls=lss,
lw=lww,
color=cc,
label=lbl2)
ax[1, 0].plot(k,
rcc2d[:, 0],
ls=lss,
lw=lww,
color=cc,
label=lbl)
ax[1, 1].plot(k,
rccstd2d[:, 0],
ls=lss,
lw=lww,
color=cc,
label=lbl)
ax[2, 0].plot(k,
rcc2d[:, -1],
ls=lss,
lw=lww,
color=cc,
label=lbl)
ax[2, 1].plot(k,
rccstd2d[:, -1],
ls=lss,
lw=lww,
color=cc,
label=lbl)
ax[1, 0].text(0.01,
0.4,
'Iterative\nRecon',
color='black',
ha='left',
va='top',
fontdict=font)
ax[1, 1].text(0.01,
0.8,
'Standard\nRecon',
color='black',
ha='left',
va='top',
fontdict=font)
ax[0, 0].text(1.5,
1,
r'1D',
color='black',
ha='right',
va='bottom',
fontdict=font)
ax[1,
0].text(1.5,
1,
r'$\mu=%0.3f-%0.3f$' % (mubins[0], mubins[1]),
color='black',
ha='right',
va='bottom',
fontdict=font)
ax[2,
0].text(1.5,
1,
r'$\mu=%0.3f-%0.3f$' % (mubins[-2], mubins[-1]),
color='black',
ha='right',
va='bottom',
fontdict=font)
except Exception as e:
if rank == 0: print(e)
#axar[0, 0].set_title('Iterative', fontdict=font)
#axar[0, 1].set_title('Standard', fontdict=font)
for axis in axar[:, 0]:
axis.set_ylabel('$r_{cc}$', fontdict=font)
axis.set_ylim(-0.1, 1.15)
axis.legend(prop=fontmanage, loc=0)
for axis in axar[1, :]:
axis.set_xlabel(r'$k\quad [h\,{\rm Mpc}^{-1}]$', fontdict=font)
for axis in axar.flatten():
axis.axhline(1, color='k', ls=':', lw=0.5)
axis.set_xscale('log')
axis.grid(which='both', lw=0.2, alpha=0.2, color='gray')
# Put on some more labels.
for axis in axar.flatten():
for tick in axis.xaxis.get_major_ticks():
tick.label.set_fontproperties(fontmanage)
for tick in axis.yaxis.get_major_ticks():
tick.label.set_fontproperties(fontmanage)
##and finish
plt.tight_layout(rect=[0, 0, 1, 0.95])
if rank == 0 and not args.pp:
plt.savefig(figpath + '/rccstd12d_L%04d-Nmu%d-hex.pdf' % (bs, Nmu))
if rank == 0 and args.pp:
plt.savefig(figpath + '/rccstd12d_L%04d-Nmu%d-hexup.pdf' % (bs, Nmu))
def make_rep_plot():
"""Does the work of making the real-space xi(r) and b(r) figure."""
fig, axar = plt.subplots(3, 2, figsize=(9, 9), sharex=True)
#fits
linestyle = ['-', '--']
colors = ['C0', 'C1', 'C2']
lww = 2
for ia, aa in enumerate([0.3333, 0.2000, 0.1429]):
#for ia, aa in enumerate([0.3333]):
zz = 1 / aa - 1
for iw, wopt in enumerate(['opt', 'pess']):
lss = linestyle[iw]
for it, thopt in enumerate(['opt', 'pess', 'reas']):
if rank == 0: print(aa, wopt, thopt)
cc = colors[it]
ax = axar[ia]
try:
angle = np.round(mapn.wedge(zz, att=wopt, angle=True), 0)
#dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_ang%0.1f/'%(aa, 0.03, angle)
dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_%s/' % (
aa, 0.03, wopt)
dpath += 'L%04d-N%04d-R//thermal-%s-hex/ZA/opt_s999_h1massA_fourier_rsdpos/' % (
bs, nc, thopt)
datapp = mapp.Observable.load(dpath + '/datap')
bfit = mapp.Observable.load(dpath + '/dataw')
#bfit = mapp.Observable.load(dpath+'ZA/opt_s999_h1massA_fourier_rsdpos/best-fit/')
rpfit = rp.evaluate1(bfit, datapp, field='mapp')[:-2]
if ia == 0 and iw == 0:
lbl = 'Noise - %s' % thopt
elif ia == 1 and it == 0:
lbl = 'Wedge = %s' % wopt
else:
lbl = None
ax[0].plot(rpfit[0]['k'],
rpfit[0]['power'] /
(rpfit[1]['power'] * rpfit[2]['power'])**0.5,
ls=lss,
lw=lww,
color=cc,
label=lbl)
ax[1].plot(rpfit[0]['k'],
(rpfit[1]['power'] / rpfit[2]['power'])**0.5,
ls=lss,
lw=lww,
color=cc)
ax[1].text(1,
0.4,
r'$z = %.2f$' % zz,
color='black',
ha='right',
va='bottom',
fontdict=font)
except Exception as e:
if rank == 0: print(e)
for axis in axar[:, 0]:
axis.set_ylabel('$r_{cc}$', fontdict=font)
axis.set_ylim(0, 1.05)
#for axis in axar[:, 1]: axis.set_ylabel(r'$\sqrt{P_{\rm mod}/P_{hh}}$', fontdict=font)
for axis in axar[:, 1]:
axis.set_ylabel(r'$T_f$', fontdict=font)
for axis in axar[2, :]:
axis.set_xlabel(r'$k\quad [h\,{\rm Mpc}^{-1}]$', fontdict=font)
for axis in axar.flatten():
axis.axhline(1, color='k', ls=':')
axis.set_xscale('log')
axis.grid(which='both')
axis.legend(prop=fontmanage)
# Put on some more labels.
for axis in axar.flatten():
for tick in axis.xaxis.get_major_ticks():
tick.label.set_fontproperties(fontmanage)
for tick in axis.yaxis.get_major_ticks():
tick.label.set_fontproperties(fontmanage)
##and finish
plt.tight_layout(rect=[0, 0, 1, 0.95])
if rank == 0: plt.savefig(figpath + '/allcomparedata_L%04d-hex.pdf' % (bs))
def fishintrep1d():
'''1D'''
A0 = 0.4529
silk = 7.76
vol = bs**3
fac = vol * A0**2
for ia, aa in enumerate([0.3333, 0.2000, 0.1429]):
zz = 1 / aa - 1
for iw, wopt in enumerate(['opt', 'pess']):
#for iw, wopt in enumerate([ 'opt']):
#for it, thopt in enumerate(['opt', 'pess', 'reas']):
for it, thopt in enumerate(['reas']):
if rank == 0: print(aa, wopt, thopt)
angle = np.round(mapn.wedge(zz, att=wopt, angle=True), 0)
dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_%s/' % (
aa, 0.03, wopt)
dpath += 'L%04d-N%04d-R//thermal-%s-hex/ZA/opt_s999_h1massA_fourier_rsdpos/' % (
bs, nc, thopt)
ofolder = '../../data/ZArecon-rsd/kmin-003_wedge-%s/thermal-%s-hex/' % (
wopt, thopt)
if args.pp:
suff = '-up'
else:
suff = ''
recon = np.loadtxt(ofolder + 'recon-L%04d_%0.4f%s.txt' %
(bs, aa, suff))
k = recon[:, 0]
pxr, pr, ps = recon[:, 2], recon[:, 6], recon[:, 7]
rccr, tfr = pxr / (pr * ps)**0.5, (pr / ps)**0.5
biasr = tfr[1:5].mean()
pstd = np.loadtxt(ofolder + 'std-L%04d_%0.4f%s.txt' %
(bs, aa, suff))[:, 1]
pxstd = np.loadtxt(ofolder + 'xstd-L%04d_%0.4f%s.txt' %
(bs, aa, suff))[:, 1]
rccstd, tfstd = pxstd / (pstd * ps)**0.5, (pstd / ps)**0.5
biasstd = tfstd[1:5].mean()
#biasr, biasstd = 1, 1
#print(biasr, biasstd)
fid, std = [rccr, tfr, biasr,
pr], [rccstd, tfstd, biasstd, pstd]
sig = []
for rcc, tf, bias, pkr in [fid, std]:
p02 = np.interp(0.2, k, ps).real
ck = rcc * tf / bias
# pmc = pkr - ck**2 * pkd
pmc = pkr - bias**2 * ck**2 * ps
# den = (pkd * ck**2 + pmc)/p02
den = (ps * (bias * ck)**2 + pmc) / p02
num = np.exp(-2 * (k * silk)**1.4) * (bias * ck)**4
#integ = fac*np.array([np.trapz(k[:i]**2 * num[:i]/den[:i]**2, k[:i]) for i in np.arange(k.size)])
fish = fac * np.trapz(k[1:]**2 * num[1:] / den[1:]**2,
k[1:])
sig.append(fish**-0.5)
#print(sig, sig[1]/sig[0])
print(sig[1] / sig[0])
def make_1d_plot():
"""Does the work of making the real-space xi(r) and b(r) figure."""
fig, axar = plt.subplots(3, 2, figsize=(9, 9), sharex=True)
#fits
linestyle = ['-', '--']
colors = ['C0', 'C1', 'C2']
lww = 2
for ia, aa in enumerate([0.3333, 0.2000, 0.1429]):
zz = 1 / aa - 1
for iw, wopt in enumerate(['opt', 'pess']):
lss = linestyle[iw]
for it, thopt in enumerate(['opt', 'pess', 'reas']):
if rank == 0: print(aa, wopt, thopt)
cc = colors[it]
ax = axar[ia]
try:
angle = np.round(mapn.wedge(zz, att=wopt, angle=True), 0)
dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_%s/' % (
aa, 0.03, wopt)
dpath += 'L%04d-N%04d-R//thermal-%s-hex/ZA/opt_s999_h1massA_fourier_rsdpos/' % (
bs, nc, thopt)
ofolder = '../../data/ZArecon-rsd/kmin-003_wedge-%s/thermal-%s-hex/' % (
wopt, thopt)
if args.pp: suff = '-up'
else: suff = ''
recon = np.loadtxt(ofolder + 'recon-L%04d_%0.4f%s.txt' %
(bs, aa, suff))
k = recon[:, 0]
pxr = recon[:, 2]
pr = recon[:, 6]
ps = recon[:, 7]
pstd = np.loadtxt(ofolder + 'std-L%04d_%0.4f%s.txt' %
(bs, aa, suff))[:, 1]
pxstd = np.loadtxt(ofolder + 'xstd-L%04d_%0.4f%s.txt' %
(bs, aa, suff))[:, 1]
if ia == 0 and iw == 0:
if thopt == 'reas': thopt = 'fid'
lbl = 'Noise - %s' % thopt
elif ia == 1 and it == 0:
lbl = 'Wedge = %s' % wopt
else:
lbl = None
ax[0].plot(k,
pxr / (pr * ps)**0.5,
ls=lss,
lw=lww,
color=cc,
label=lbl)
ax[1].plot(k,
pxstd / (pstd * ps)**0.5,
ls=lss,
lw=lww,
color=cc)
ax[1].text(0.6,
0.8,
r'$z = %.2f$' % zz,
color='black',
ha='left',
va='bottom',
fontdict=font)
except Exception as e:
if rank == 0: print(e)
axar[0, 0].set_title('Iterative', fontdict=font)
axar[0, 1].set_title('Standard', fontdict=font)
for axis in axar[:, 0]:
axis.set_ylabel('$r_{cc}$', fontdict=font)
axis.set_ylim(-0.05, 1.1)
for axis in axar[:, 1]:
axis.set_ylabel(r'$T_f$', fontdict=font)
axis.set_ylim(-0.05, 1.1)
for axis in axar[2, :]:
axis.set_xlabel(r'$k\quad [h\,{\rm Mpc}^{-1}]$', fontdict=font)
for axis in axar.flatten():
axis.axhline(1, color='k', ls=':')
axis.set_xscale('log')
axis.grid(which='both', lw=0.2, alpha=0.2, color='gray')
axis.legend(prop=fontmanage, loc=4)
# Put on some more labels.
for axis in axar.flatten():
for tick in axis.xaxis.get_major_ticks():
tick.label.set_fontproperties(fontmanage)
for tick in axis.yaxis.get_major_ticks():
tick.label.set_fontproperties(fontmanage)
##and finish
plt.tight_layout(rect=[0, 0, 1, 0.95])
if rank == 0 and not args.pp:
plt.savefig(figpath + '/rccstd_L%04d-hex.pdf' % (bs))
if rank == 0 and args.pp:
plt.savefig(figpath + '/rccstd_L%04d-hexup.pdf' % (bs))
def make_mu_plot(Nmu=8, nx=2, ny=2):
"""Does the work of making the real-space xi(r) and b(r) figure."""
mub = np.linspace(0, 1, Nmu + 1)
linestyle = ['-', '--']
markers = ['o', 'x']
colors = ['C0', 'C1', 'C2']
fig, ax = plt.subplots(2, 3, figsize=(11, 6), sharex=True, sharey=True)
for ia, aa in enumerate([0.3333, 0.2000, 0.1429]):
zz = 1 / aa - 1
for iw, wopt in enumerate(['opt', 'pess']):
#for iw, wopt in enumerate(['opt']):
lss = linestyle[iw]
mm = markers[iw]
#for it, thopt in enumerate(['opt', 'pess', 'reas']):
for it, thopt in enumerate(['reas']):
if rank == 0: print(aa, wopt, thopt)
cc = colors[ia]
try:
angle = np.round(mapn.wedge(zz, att=wopt, angle=True), 0)
dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_%s/' % (
aa, 0.03, wopt)
dpath += 'L%04d-N%04d-R//thermal-%s-hex/ZA/opt_s999_h1massA_fourier_rsdpos/' % (
bs, nc, thopt)
fname = './tmpdata/mapp%d-L%04d_%0.4f_kmin%0.2f_%s-th%shex' % (
Nmu, bs, aa, 0.03, wopt, thopt)
if args.pp: fname = fname[:] + '-up'
try:
rpfit = [{
'k': np.loadtxt(fname + '-k.txt'),
'power': np.loadtxt(fname + '-p%d.txt' % i)
} for i in range(3)]
except:
if args.pp:
datapp = mapp.Observable.load(dpath + '/datap_up')
bpaths = [
dpath + 'upsample2/%d-0.00//best-fit' % nc2
] + [
dpath + 'upsample2/%d-0.00//%04d/fit_p/' %
(nc2, i) for i in range(100, 50, -20)
]
else:
datapp = mapp.Observable.load(dpath + '/datap')
bpaths = [dpath + '%d-0.00//best-fit' % nc] + [
dpath + '%d-0.00//%04d/fit_p/' % (nc, i)
for i in range(100, 50, -20)
]
for path in bpaths:
if os.path.isdir(path): break
if rank == 0: print(path)
bfit = mapp.Observable.load(path)
rpfit = rp.evaluate2d1(bfit,
datapp,
Nmu=Nmu,
field='mapp')
#
mus = np.linspace(0, 1, Nmu)
k = rpfit[0]['k'].mean(axis=1)
k[np.isnan(k)] = -1
kk = np.logspace(np.log10(0.05), 0, 6)
for i in range(kk.size):
axis = ax.flatten()[i]
if i == 0 and iw == 0:
lbl = 'z = %.1f' % (1 / aa - 1)
elif i == 1 and ia == 0:
lbl = 'Wedge = %s' % wopt
else:
lbl = None
ik = np.where(k > kk[i])[0][0]
#if rank == 0: print(k, kk[i], ik)
#ik = ik[0][0]
rcc = (rpfit[0]['power'][ik, :] /
(rpfit[1]['power'][ik, :] *
rpfit[2]['power'][ik, :])**0.5).real
axis.plot(mus,
rcc,
ls=lss,
lw=2,
color=cc,
label=lbl,
marker=mm)
if args.pp:
axis.text(0.7,
0.41,
r'$k = %.3f$' % (kk[i]),
color='black',
ha='left',
va='bottom',
fontdict=font)
else:
axis.text(0.75,
0.15,
r'$k = %.3f$' % (kk[i]),
color='black',
ha='left',
va='bottom',
fontdict=font)
amu = np.sin(angle * np.pi / 180.)
print(angle, amu)
axis.axvline(amu, color=cc, ls=lss, lw=1, alpha=0.5)
except Exception as e:
if rank == 0: print(e)
##
for axis in ax[:, 0]:
axis.set_ylabel('$r_{cc}$', fontdict=font)
for axis in ax[1]:
axis.set_xlabel(r'$\mu$', fontdict=font)
for axis in ax.flatten():
axis.axhline(1, ls="--", color='k')
axis.set_xlim(-0.05, 1.05)
axis.grid(which='both', lw=0.2, alpha=0.2, color='gray')
axis.legend(loc=3, prop=fontmanage)
#axis.set_ylim(0.5, 1.05)
# Put on some more labels.
for axis in ax.flatten():
for tick in axis.xaxis.get_major_ticks():
tick.label.set_fontproperties(fontmanage)
for tick in axis.yaxis.get_major_ticks():
tick.label.set_fontproperties(fontmanage)
##and finish
plt.tight_layout(rect=[0, 0, 1, 0.95])
if rank == 0 and not args.pp:
plt.savefig(figpath + '/rep2dmu_L%04d_mu%d.pdf' % (bs, Nmu))
if rank == 0 and args.pp:
plt.savefig(figpath + '/rep2dmu_L%04d_mu%d_up.pdf' % (bs, Nmu))
def make_rep_plot(Nmu=4, nx=2, ny=2):
"""Does the work of making the real-space xi(r) and b(r) figure."""
mub = np.linspace(0, 1, Nmu + 1)
linestyle = ['-', '--']
colors = ['C0', 'C1', 'C2']
fig, ax = plt.subplots(nx,
ny,
figsize=(ny * 3 + 2, nx * 3 + 0),
sharex=True,
sharey=True)
for ia, aa in enumerate([0.3333, 0.2000, 0.1429]):
zz = 1 / aa - 1
for iw, wopt in enumerate(['opt', 'pess']):
#for iw, wopt in enumerate(['opt']):
lss = linestyle[iw]
#for it, thopt in enumerate(['opt', 'pess', 'reas']):
for it, thopt in enumerate(['reas']):
if rank == 0: print(aa, wopt, thopt)
cc = colors[ia]
try:
angle = np.round(mapn.wedge(zz, att=wopt, angle=True), 0)
dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_%s/' % (
aa, 0.03, wopt)
dpath += 'L%04d-N%04d-R//thermal-%s-hex/ZA/opt_s999_h1massA_fourier_rsdpos/' % (
bs, nc, thopt)
fname = './tmpdata/mapp%d-L%04d_%0.4f_kmin%0.2f_%s-th%shex' % (
Nmu, bs, aa, 0.03, wopt, thopt)
if args.pp: fname = fname[:] + '-up'
try:
rpfit = [{
'k': np.loadtxt(fname + '-k.txt'),
'power': np.loadtxt(fname + '-p%d.txt' % i)
} for i in range(3)]
except:
if args.pp:
datapp = mapp.Observable.load(dpath + '/datap_up')
bpaths = [
dpath + 'upsample2/%d-0.00//best-fit' % nc2
] + [
dpath + 'upsample2/%d-0.00//%04d/fit_p/' %
(nc2, i) for i in range(100, 50, -20)
]
else:
datapp = mapp.Observable.load(dpath + '/datap')
bpaths = [dpath + '%d-0.00//best-fit' % nc] + [
dpath + '%d-0.00//%04d/fit_p/' % (nc, i)
for i in range(100, 50, -20)
]
for path in bpaths:
if os.path.isdir(path):
break
if rank == 0: print(path)
bfit = mapp.Observable.load(path)
rpfit = rp.evaluate2d1(bfit,
datapp,
Nmu=Nmu,
field='mapp')
if rank == 0:
np.savetxt(fname + '-k.txt', rpfit[0]['k'])
for ip in range(3):
np.savetxt(fname + '-p%d.txt' % ip,
rpfit[ip]['power'].real)
#
k = rpfit[0]['k'].mean(axis=1)
for i in range(Nmu):
axis = ax.flatten()[i]
if i == 0 and iw == 0:
lbl = 'z = %.1f' % (1 / aa - 1)
elif i == 1 and ia == 0:
lbl = 'Wedge = %s' % wopt
else:
lbl = None
rcc = rpfit[0]['power'][:, i] / (
rpfit[1]['power'][:, i] *
rpfit[2]['power'][:, i])**0.5
axis.plot(k, rcc, ls=lss, lw=2, color=cc, label=lbl)
if Nmu == 4:
axis.text(0.1,
0.3,
r'$\mu = %.2f-%.2f$' %
(mub[i], mub[i + 1]),
color='black',
ha='left',
va='bottom',
fontdict=font)
#if Nmu == 8: axis.text(0.05, 0.41, r'$\mu = %.2f$'%mus[i],color='black',ha='left',va='bottom', fontdict=font)
if Nmu == 8:
axis.text(0.1,
0.3,
r'$\mu = %.2f-%.2f$' %
(mub[i], mub[i + 1]),
color='black',
ha='left',
va='bottom',
fontdict=font)
except Exception as e:
if rank == 0: print(e)
##
for axis in ax[:, 0]:
axis.set_ylabel('$r_{cc}$', fontdict=font)
for axis in ax[1]:
axis.set_xlabel(r'$k\quad [h\,{\rm Mpc}^{-1}]$', fontdict=font)
for axis in ax.flatten():
axis.set_xscale('log')
axis.axhline(1, ls="--", color='k')
axis.set_xlim(0.02, 1.1)
axis.grid(which='both', lw=0.2, alpha=0.2, color='gray')
axis.legend(loc='center left', prop=fontmanage)
#axis.set_ylim(0.5, 1.05)
# Put on some more labels.
for axis in ax.flatten():
for tick in axis.xaxis.get_major_ticks():
tick.label.set_fontproperties(fontmanage)
for tick in axis.yaxis.get_major_ticks():
tick.label.set_fontproperties(fontmanage)
##and finish
plt.tight_layout(rect=[0, 0, 1, 0.95])
if rank == 0 and not args.pp:
plt.savefig(figpath + '/rep2d_L%04d_mu%d.pdf' % (bs, Nmu))
if rank == 0 and args.pp:
plt.savefig(figpath + '/rep2d_L%04d_mu%d_up.pdf' % (bs, Nmu))
def make_rep_plot():
"""Does the work of making the real-space xi(r) and b(r) figure."""
fig, axar = plt.subplots(1, 2, figsize=(9, 4), sharex=True)
#fits
linestyle = ['-', '--']
colors = ['C%d' % i for i in range(7)]
lww = 2
wopt = 'opt'
thopt = 'reas'
lss = '-'
for ia, aa in enumerate([0.2000]):
zz = 1 / aa - 1
for ik, kmin in enumerate([0.001, 0.01, 0.03, 0.05]):
cc = colors[ik]
angle = np.round(mapn.wedge(zz, att=wopt, angle=True), 0)
#dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_ang%0.1f/'%(aa, 0.03, angle)
dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_%s/' % (
aa, kmin, wopt)
dpath += 'L%04d-N%04d-R//thermal-%s-hex/ZA/opt_s999_h1massA_fourier_rsdpos/' % (
bs, nc, thopt)
datapp = mapp.Observable.load(dpath + '/datap')
bpaths = [dpath + '%d-0.00//best-fit' % nc] + [
dpath + '%d-0.00//%04d/fit_p/' % (nc, i)
for i in range(100, 30, -20)
]
for path in bpaths:
if os.path.isdir(path):
break
if rank == 0: print(path)
bfit = mapp.Observable.load(path)
rpfit = rp.evaluate1(bfit, datapp, field='mapp')[:-2]
lbl = '$k_\parallel = %.2f$' % kmin
axar[0].plot(rpfit[0]['k'],
rpfit[0]['power'] /
(rpfit[1]['power'] * rpfit[2]['power'])**0.5,
ls=lss,
lw=lww,
color=cc,
label=lbl)
axar[1].plot(rpfit[0]['k'],
(rpfit[1]['power'] / rpfit[2]['power'])**0.5,
ls=lss,
lw=lww,
color=cc)
ik += 1
cc = colors[ik]
dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_ang%0.2f/' % (
aa, 0, 0)
dpath += 'L%04d-N%04d-R//thermal-%s-hex/ZA/opt_s999_h1massA_fourier_rsdpos/' % (
bs, nc, thopt)
datapp = mapp.Observable.load(dpath + '/datap')
bpaths = [dpath + '%d-0.00//best-fit' % nc] + [
dpath + '%d-0.00//%04d/fit_p/' % (nc, i) for i in range(100, 30, -20)
]
for path in bpaths:
if os.path.isdir(path):
break
if rank == 0: print(path)
bfit = mapp.Observable.load(path)
rpfit = rp.evaluate1(bfit, datapp, field='mapp')[:-2]
lbl = 'All modes'
axar[0].plot(rpfit[0]['k'],
rpfit[0]['power'] /
(rpfit[1]['power'] * rpfit[2]['power'])**0.5,
ls='--',
lw=lww,
color=cc,
label=lbl)
axar[1].plot(rpfit[0]['k'], (rpfit[1]['power'] / rpfit[2]['power'])**0.5,
ls='--',
lw=lww,
color=cc)
axis = axar[0]
axis.set_ylabel('$r_{cc}$', fontdict=font)
axis.set_ylim(-0.05, 1.1)
#for axis in axar[:, 1]: axis.set_ylabel(r'$\sqrt{P_{\rm mod}/P_{hh}}$', fontdict=font)
axis = axar[1]
axis.set_ylabel(r'$T_f$', fontdict=font)
axis.set_ylim(-0.05, 2)
for axis in axar[:]:
axis.set_xlabel(r'$k\quad [h\,{\rm Mpc}^{-1}]$', fontdict=font)
for axis in axar.flatten():
axis.axhline(1, color='k', ls=':')
axis.set_xscale('log')
axis.grid(which='both', lw=0.2, alpha=0.2, color='gray')
axis.legend(prop=fontmanage)
# Put on some more labels.
for axis in axar.flatten():
for tick in axis.xaxis.get_major_ticks():
tick.label.set_fontproperties(fontmanage)
for tick in axis.yaxis.get_major_ticks():
tick.label.set_fontproperties(fontmanage)
##and finish
plt.tight_layout(rect=[0, 0, 1, 0.95])
if rank == 0: plt.savefig(figpath + '/kmin_L%04d-hex.pdf' % (bs))
def make_rep_plot(Nmu=4,):
"""Does the work of making the real-space xi(r) and b(r) figure."""
mub = np.linspace(0, 1, Nmu+1)
linestyle = ['-', '-.', ':', '--']
colors = ['C0', 'C1', 'C2']
fig, ax = plt.subplots(1, 3, figsize=(12, 4), sharex=True, sharey=True)
for ia, aa in enumerate([0.3333, 0.2000, 0.1429]):
zz = 1/aa-1
#for iw, wopt in enumerate(['opt', 'pess']):
for iw, wopt in enumerate(['opt']):
for it, thopt in enumerate(['opt', 'pess', 'reas']):
#for it, thopt in enumerate([ 'reas']):
if rank == 0: print(aa, wopt, thopt)
cc = colors[it]
try:
angle = np.round(mapn.wedge(zz, att=wopt, angle=True), 0)
dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_%s/'%(aa, 0.03, wopt)
dpath += 'L%04d-N%04d-R//thermal-%s-hex/ZA/opt_s999_h1massA_fourier_rsdpos/'%(bs, nc, thopt)
ofolder = '../../data/ZArecon-rsd/kmin-003_wedge-%s/thermal-%s-hex/Nmu%d/'%(wopt, thopt, Nmu)
data = ofolder + 'dataw-L%04d_%0.4f.txt'%(bs, aa)
noise = ofolder + 'pnoise-L%04d_%0.4f.txt'%(bs, aa)
if args.pp :
data = data[:-4] + '-up'
noise = noise[:-4] + '-up'
k = np.loadtxt(data+'-k.txt').T
dfit = np.loadtxt(data+'-pm2.txt').T
nfit = np.loadtxt(noise+'.txt').T
for i in range(0, k.shape[0]):
lss = linestyle[i%len(linestyle)]
axis = ax.flatten()[ia]
if ia==2 and it==0:
lbl = r'$\mu = %.2f-%.2f$'%(mub[i], mub[i+1])
elif ia == 1 and i == 1:
if thopt == 'reas': thopt = 'fid'
lbl = 'Noise = %s'%thopt
else: lbl = None
axis.plot(k[i], dfit[i]/(dfit[i] + nfit[i]), ls=lss, lw=2, color=cc, label=lbl)
#axis.plot(k[i], nfit[i], ls=lss, lw=2, color=cc, label=lbl)
#axis.set_yscale('log')
#axis.set_ylim(10, 1e4)
#
axis.text(0.22, 0.0, 'z = %.1f'%(1/aa-1),color='black',ha='left',va='bottom', fontdict=font)
except Exception as e:
if rank == 0: print(e)
##
ax[0].set_ylabel(r'$S/(S+N)$', fontdict=font)
for axis in ax[:]: axis.set_xlabel(r'$k\quad [h\,{\rm Mpc}^{-1}]$', fontdict=font)
for axis in ax.flatten():
axis.axhline(1, ls="--", color='k')
#axis.set_xscale('log')
axis.set_xlim(0.008, 1.3)
#axis.set_yscale('log')
#axis.set_ylim(1e-3, 1.3)
axis.grid(which='both', lw=0.2, alpha=0.2, color='gray')
#axis.legend(loc='center left', prop=fontmanage)
axis.legend(loc=0, prop=fontmanage)
# Put on some more labels.
for axis in ax.flatten():
for tick in axis.xaxis.get_major_ticks():
tick.label.set_fontproperties(fontmanage)
for tick in axis.yaxis.get_major_ticks():
tick.label.set_fontproperties(fontmanage)
##and finish
plt.tight_layout(rect=[0, 0, 1, 0.95])
if rank == 0 and not args.pp: plt.savefig(figpath + '/noise2d_L%04d_mu%d.pdf'%(bs, Nmu))
if rank == 0 and args.pp: plt.savefig(figpath + '/noise2d_L%04d_mu%d_up.pdf'%(bs, Nmu))
for axis in ax.flatten():
axis.set_xscale('log')
if rank == 0 and not args.pp: plt.savefig(figpath + '/noise2d_L%04d_mu%d_log.pdf'%(bs, Nmu))
if rank == 0 and args.pp: plt.savefig(figpath + '/noise2d_L%04d_mu%d_up_log.pdf'%(bs, Nmu))
def save2dphoto(Nmu=4, numd=1e-2, aa=None, scatter=False):
if numd > 1e-2:
print('Too high number density')
sys.exit()
num = int(numd * bs**3)
if aa is None: aas = [0.3333, 0.2000, 0.1429]
else: aas = [aa]
for ia, aa in enumerate(aas):
zz = 1 / aa - 1
sigz = lambda z: 120 * ((1 + z) / 5)**-0.5
##
cat = BigFileCatalog(
'/global/cscratch1/sd/chmodi/m3127/H1mass/highres/10240-9100/fastpm_%0.4f/Hcat-Numd-%04d/'
% (aa, 1e-2 * 1e4))
if scatter:
pos = cat['Position'][:num].compute()
dz = np.random.normal(0, sigz(zz), size=pos[:, -1].size)
pos[:, -1] += dz
layout = pm.decompose(pos)
hmesh = pm.paint(pos, layout=layout)
else:
pos = cat['Position'][:num].compute()
layout = pm.decompose(pos)
hmesh = pm.paint(pos, layout=layout)
def tf(k): #Photoz smoothing
kmesh = sum(ki**2 for ki in k)**0.5
kmesh[kmesh == 0] = 1
mumesh = k[2] / kmesh
weights = np.exp(-kmesh**2 * mumesh**2 * sigz(zz)**2 / 2.)
return weights
hmesh /= hmesh.cmean()
if not scatter:
hmeshc = hmesh.r2c()
hmeshc.apply(lambda k, v: nyquist_mask(tf(k), v) * v, out=Ellipsis)
hmesh = hmeshc.c2r()
ph = FFTPower(hmesh, mode='2d', Nmu=Nmu).power
#
for iw, wopt in enumerate(['opt', 'pess']):
#for iw, wopt in enumerate(['opt']):
for it, thopt in enumerate(['opt', 'pess', 'reas']):
#for it, thopt in enumerate([ 'reas']):
if rank == 0: print(aa, wopt, thopt)
angle = np.round(mapn.wedge(zz, att=wopt, angle=True), 0)
#dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_ang%0.1f/'%(aa, 0.03, angle)
dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_%s/' % (
aa, 0.03, wopt)
dpath += 'L%04d-N%04d-R//thermal-%s-hex/ZA/opt_s999_h1massA_fourier_rsdpos/' % (
bs, nc, thopt)
if scatter:
ofolder = '../../data/ZArecon-rsd/kmin-003_wedge-%s/thermal-%s-hex/photog-Numd%04d-Nmu%d/' % (
wopt, thopt, numd * 1e4, Nmu)
else:
ofolder = '../../data/ZArecon-rsd/kmin-003_wedge-%s/thermal-%s-hex/photo-Numd%04d-Nmu%d/' % (
wopt, thopt, numd * 1e4, Nmu)
try:
os.makedirs(ofolder)
except:
pass
if rank == 0: print(ofolder)
if args.pp:
datapp = BigFileMesh(dpath + '/dataw_up/', 'mapp').paint()
bpaths = [dpath + 'upsample2/%d-0.00//best-fit' % nc2] + [
dpath + 'upsample2/%d-0.00//%04d/fit_p/' % (nc2, i)
for i in range(100, 50, -20)
]
else:
datapp = BigFileMesh(dpath + '/dataw/', 'mapp').paint()
bpaths = [dpath + '%d-0.00//best-fit' % nc] + [
dpath + '%d-0.00//%04d/fit_p/' % (nc, i)
for i in range(100, 50, -20)
]
for path in bpaths:
if os.path.isdir(path):
break
if rank == 0: print(path)
bfit = BigFileMesh(path, 'mapp').paint()
pxrh = FFTPower(hmesh, second=bfit, mode='2d', Nmu=Nmu).power
pxwh = FFTPower(hmesh, second=datapp, mode='2d', Nmu=Nmu).power
fname = ofolder + 'photo-L%04d_%0.4f.txt' % (bs, aa)
if args.pp: fname = fname[:-4] + '-up.txt'
np.savetxt(fname, ph['power'].real)
fname = ofolder + 'xdataw-L%04d_%0.4f.txt' % (bs, aa)
if args.pp: fname = fname[:-4] + '-up.txt'
np.savetxt(fname, pxwh['power'].real)
fname = ofolder + 'xrecon-L%04d_%0.4f.txt' % (bs, aa)
if args.pp: fname = fname[:-4] + '-up.txt'
np.savetxt(fname, pxrh['power'].real)
def make_rep_plot():
"""Does the work of making the real-space xi(r) and b(r) figure."""
fig, axar = plt.subplots(3, 2, figsize=(9, 9), sharex=True)
#fits
linestyle = ['-', '--']
colors = ['C0', 'C1', 'C2']
lww = 2
for ia, aa in enumerate([0.3333, 0.2000, 0.1429]):
zz = 1 / aa - 1
for iw, wopt in enumerate(['opt', 'pess']):
lss = linestyle[iw]
for it, thopt in enumerate(['opt', 'pess', 'reas']):
if rank == 0: print(aa, wopt, thopt)
cc = colors[it]
ax = axar[ia]
try:
angle = np.round(mapn.wedge(zz, att=wopt, angle=True), 0)
#dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_ang%0.1f/'%(aa, 0.03, angle)
dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_%s/' % (
aa, 0.03, wopt)
dpath += 'L%04d-N%04d-R//thermal-%s-hex/ZA/opt_s999_h1massA_fourier_rsdpos/' % (
bs, nc, thopt)
fname = './tmpdata/mapp-L%04d_%0.4f_kmin%0.2f_%s-th%shex.txt' % (
bs, aa, 0.03, wopt, thopt)
if args.pp: fname = fname[:-4] + '-up.txt'
try:
rep = np.loadtxt(fname).T
rpfit = [{
'k': rep[0],
'power': rep[i + 1]
} for i in range(3)]
except:
if args.pp:
datapp = mapp.Observable.load(dpath + '/datap_up')
bpaths = [
dpath + 'upsample2/%d-0.00//best-fit' % nc2
] + [
dpath + 'upsample2/%d-0.00//%04d/fit_p/' %
(nc2, i) for i in range(100, 50, -20)
]
else:
datapp = mapp.Observable.load(dpath + '/datap')
bpaths = [dpath + '%d-0.00//best-fit' % nc] + [
dpath + '%d-0.00//%04d/fit_p/' % (nc, i)
for i in range(100, 50, -20)
]
for path in bpaths:
if os.path.isdir(path):
break
if rank == 0: print(path)
bfit = mapp.Observable.load(path)
#bfit = mapp.Observable.load(dpath+'ZA/opt_s999_h1massA_fourier_rsdpos/best-fit/')
rpfit = rp.evaluate1(bfit, datapp, field='mapp')[:-2]
if rank == 0:
np.savetxt(fname,
np.stack([rpfit[0]['k']] + [
rpfit[i]['power'].real
for i in range(len(rpfit))
]).T,
header='k, pr, pd, px')
if ia == 0 and iw == 0:
if thopt == 'reas': thopt = 'fid'
lbl = 'Noise - %s' % thopt
elif ia == 1 and it == 0:
lbl = 'Wedge = %s' % wopt
else:
lbl = None
ax[0].plot(rpfit[0]['k'],
rpfit[0]['power'] /
(rpfit[1]['power'] * rpfit[2]['power'])**0.5,
ls=lss,
lw=lww,
color=cc,
label=lbl)
ax[1].plot(rpfit[0]['k'],
(rpfit[1]['power'] / rpfit[2]['power'])**0.5,
ls=lss,
lw=lww,
color=cc)
ax[1].text(0.02,
2,
r'$z = %.2f$' % zz,
color='black',
ha='left',
va='bottom',
fontdict=font)
except Exception as e:
if rank == 0: print(e)
for axis in axar[:, 0]:
axis.set_ylabel('$r_{cc}$', fontdict=font)
axis.set_ylim(-0.05, 1.1)
#for axis in axar[:, 1]: axis.set_ylabel(r'$\sqrt{P_{\rm mod}/P_{hh}}$', fontdict=font)
for axis in axar[:, 1]:
axis.set_ylabel(r'$T_f$', fontdict=font)
axis.set_ylim(-0.05, 3)
for axis in axar[2, :]:
axis.set_xlabel(r'$k\quad [h\,{\rm Mpc}^{-1}]$', fontdict=font)
for axis in axar.flatten():
axis.axhline(1, color='k', ls=':')
axis.set_xscale('log')
axis.grid(which='both', lw=0.2, alpha=0.2, color='gray')
axis.legend(prop=fontmanage)
# Put on some more labels.
for axis in axar.flatten():
for tick in axis.xaxis.get_major_ticks():
tick.label.set_fontproperties(fontmanage)
for tick in axis.yaxis.get_major_ticks():
tick.label.set_fontproperties(fontmanage)
##and finish
plt.tight_layout(rect=[0, 0, 1, 0.95])
if rank == 0 and not args.pp:
plt.savefig(figpath + '/allcompare_L%04d-hex.pdf' % (bs))
if rank == 0 and args.pp:
plt.savefig(figpath + '/allcompare_L%04d-hexup.pdf' % (bs))
def make_repwd_plot():
"""Does the work of making the real-space xi(r) and b(r) figure."""
for ia, aa in enumerate([0.3333, 0.2000, 0.1429]):
zz = 1 / aa - 1
for iw, wopt in enumerate(['opt', 'pess']):
for it, thopt in enumerate(['opt', 'pess', 'reas']):
if rank == 0: print(aa, wopt, thopt)
angle = np.round(mapn.wedge(zz, att=wopt, angle=True), 0)
#dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_ang%0.1f/'%(aa, 0.03, angle)
dpath = '/global/cscratch1/sd/chmodi/m3127/21cm_cleaning/recon/fastpm_%0.4f/wedge_kmin%0.2f_%s/' % (
aa, 0.03, wopt)
dpath += 'L%04d-N%04d-R//thermal-%s-hex/ZA/opt_s999_h1massA_fourier_rsdpos/' % (
bs, nc, thopt)
ofolder = '../../data/ZArecon-rsd/kmin-003_wedge-%s/thermal-%s-hex/' % (
wopt, thopt)
try:
os.makedirs(ofolder)
except:
pass
fname = ofolder + 'recon-L%04d_%0.4f.txt' % (bs, aa)
if args.pp: fname = fname[:-4] + '-up.txt'
header = 'k, xm.power, xs.power, xd.power, pm1.power, pm2.power, ps1.power, ps2.power, pd1.power, pd2.power'
try:
rep = np.loadtxt(fname).T
rpfit = [{
'k': rep[0],
'power': rep[i + 1]
} for i in range(3)]
except:
if args.pp:
datapp = mapp.Observable.load(dpath + '/datap_up')
bpaths = [
dpath + 'upsample2/%d-0.00//best-fit' % nc2
] + [
dpath + 'upsample2/%d-0.00//%04d/fit_p/' % (nc2, i)
for i in range(100, 50, -20)
]
else:
datapp = mapp.Observable.load(dpath + '/datap')
bpaths = [dpath + '%d-0.00//best-fit' % nc] + [
dpath + '%d-0.00//%04d/fit_p/' % (nc, i)
for i in range(100, 50, -20)
]
for path in bpaths:
if os.path.isdir(path):
break
if rank == 0: print(path)
bfit = mapp.Observable.load(path)
#bfit = mapp.Observable.load(dpath+'ZA/opt_s999_h1massA_fourier_rsdpos/best-fit/')
rpfit = rp.evaluate(bfit, datapp)[:-2]
if rank == 0:
np.savetxt(fname,
np.stack([rpfit[0]['k']] + [
rpfit[i]['power'].real
for i in range(len(rpfit))
]).T,
header=header)
fname = ofolder + 'dataw-L%04d_%0.4f.txt' % (bs, aa)
if args.pp: fname = fname[:-4] + '-up.txt'
try:
rep = np.loadtxt(fname).T
rpfit = [{
'k': rep[0],
'power': rep[i + 1]
} for i in range(3)]
except:
if args.pp:
datapp = mapp.Observable.load(dpath + '/datap_up')
bfit = mapp.Observable.load(dpath + '/dataw_up')
else:
datapp = mapp.Observable.load(dpath + '/datap')
bfit = mapp.Observable.load(dpath + '/dataw')
#bfit = mapp.Observable.load(dpath+'ZA/opt_s999_h1massA_fourier_rsdpos/best-fit/')
rpfit = rp.evaluate(bfit, datapp)[:-2]
if rank == 0:
np.savetxt(fname,
np.stack([rpfit[0]['k']] + [
rpfit[i]['power'].real
for i in range(len(rpfit))
]).T,
header=header)
