From 9276bc8008569bb09560a4a91e610a8b64710828 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jean-S=C3=A9bastien?= Date: Tue, 14 Dec 2021 10:18:20 +0100 Subject: [PATCH] Add scripts for c scan with k_range --- scripts/build_LiebLin_c_scan_k_range.sh | 87 ++++++++++++++++++ scripts/build_LiebLin_c_scan_k_range_dsfs.sh | 92 +++++++++++++++++++ .../build_LiebLin_c_scan_k_range_dsfs_plot.sh | 90 ++++++++++++++++++ scripts/plot_c_scan_k_fixed_dsfs.py | 1 - scripts/plot_c_scan_k_range_dsfs.py | 83 +++++++++++++++++ 5 files changed, 352 insertions(+), 1 deletion(-) create mode 100755 scripts/build_LiebLin_c_scan_k_range.sh create mode 100755 scripts/build_LiebLin_c_scan_k_range_dsfs.sh create mode 100755 scripts/build_LiebLin_c_scan_k_range_dsfs_plot.sh create mode 100755 scripts/plot_c_scan_k_range_dsfs.py diff --git a/scripts/build_LiebLin_c_scan_k_range.sh b/scripts/build_LiebLin_c_scan_k_range.sh new file mode 100755 index 0000000..1f1abdd --- /dev/null +++ b/scripts/build_LiebLin_c_scan_k_range.sh @@ -0,0 +1,87 @@ +#! /bin/zsh + +# For given N (L), this +# computes the required DSF (up to required sumrule) +# over a range of values of c_int. + +if [[ $# -ne 5 ]]; then + echo "Arguments needed: whichDSF, kBT, target_sumrule, N, nkmax (max momentum in units of kF/4)." + exit 1 +fi + +if [[ $1 != 'd' && $1 != 'g' && $1 != 'o' ]]; then + echo "Only the d, g and o scanning options are implemented." + exit 1 +fi + +if [[ $2 -lt 0 ]]; then + echo "Temperature kBT must be > 0." + exit 1 +fi + +if [[ $3 -lt 0 || $3 -gt 1 ]]; then + echo "Requirement: 0 < target_sumrule < 1." + exit 1 +fi + +if [[ $4 -lt 0 ]]; then + echo "N must be > 0." + exit 1 +fi + +if [[ $5 -lt 0 ]]; then + echo "nkmax must be > 0." + exit 1 +fi + + +whichDSF=$1 +kBT=$2 +target_sumrule=$3 +N=$4 +nkmax=$5 + +correlator='rho-rho' +if [[ $whichDSF == 'o' ]]; then + correlator='psidag-psi' +elif [[ $whichDSF == 'g' ]]; then + correlator='psi-psidag' +fi + +iKmax=$(($nkmax * $N/8)) + +Max_Secs=3600 +refine=0 + +#clist=(1024 512 256 128 64 32 16 8 4 2 1 0.5 0.25 0.125 0.0625 0.03125 0.015625) + +# List of interactions: fractional powers of 2 +clist_raw=() +for nc in {-128..128} +do + clist_raw=($clist_raw $(( 4 * 2**($nc/16.) ))) +done +# Now cast the integer values to true integers +zmodload zsh/mathfunc +clist=() +for c in $clist_raw +do + if [[ $((floor($c))) == $((ceil($c))) ]]; then + clist=($clist $((int($c)))) + else + clist=($clist $c) + fi +done + +basedir="$(pwd)" + +for c in $clist +do + echo '** Starting run for c =' $c', N = '$N + dir='Lieb-Liniger/'$correlator'/T_'$kBT'/c_scan/k_range/k_0_to_'${(l:2::0:)nkmax}'kFo4/sr_'$target_sumrule'/store/data/N_'$N'/c_'$c + mkdir -p $dir + cd $dir + LiebLin_DSF $whichDSF $c $N $N 0 $iKmax $kBT $Max_Secs $target_sumrule $refine + cd $basedir + echo ' Successfully computed DSFs for c =' $c', N = '$N'.\n' +done diff --git a/scripts/build_LiebLin_c_scan_k_range_dsfs.sh b/scripts/build_LiebLin_c_scan_k_range_dsfs.sh new file mode 100755 index 0000000..52657b8 --- /dev/null +++ b/scripts/build_LiebLin_c_scan_k_range_dsfs.sh @@ -0,0 +1,92 @@ +#! /bin/zsh + +# For given N (L) this +# computes the smoothened dsfs for a `build_LiebLin_c_scan_k_range` run. + +if [[ $# -ne 6 ]]; then + echo "Arguments needed: whichDSF, kBT, target_sumrule, N, nkmax (max momentum in units of kF/4), width." + exit 1 +fi + +if [[ $1 != 'd' && $1 != 'g' && $1 != 'o' ]]; then + echo "Only the d, g and o scanning options are implemented." + exit 1 +fi + +if [[ $2 -lt 0 ]]; then + echo "Temperature kBT must be > 0." + exit 1 +fi + +if [[ $3 -lt 0 || $3 -gt 1 ]]; then + echo "Requirement: 0 < target_sumrule < 1." + exit 1 +fi + +if [[ $4 -lt 0 ]]; then + echo "N must be > 0." + exit 1 +fi + +if [[ $5 -lt 0 ]]; then + echo "nkmax must be > 0." + exit 1 +fi + +if [[ $6 -lt 0 ]]; then + echo "width must be > 0." + exit 1 +fi + + +whichDSF=$1 +kBT=$2 +target_sumrule=$3 +N=$4 +nkmax=$5 +width=$6 + +correlator='rho-rho' +if [[ $whichDSF == 'o' ]]; then + correlator='psidag-psi' +elif [[ $whichDSF == 'g' ]]; then + correlator='psi-psidag' +fi + +iKmax=$(($nkmax * $N/8)) + +ommin=0 +ommax=$(($nkmax*($nkmax - 8))) # use lower branch of 1ph continuum +Nom=1000 + +#clist=(1024 512 256 128 64 32 16 8 4 2 1 0.5 0.25 0.125 0.0625 0.03125 0.015625) + +# List of interactions: fractional powers of 2 +clist_raw=() +for nc in {-128..128} +do + clist_raw=($clist_raw $(( 4 * 2**($nc/16.) ))) +done +# Now cast the integer values to true integers +zmodload zsh/mathfunc +clist=() +for c in $clist_raw +do + if [[ $((floor($c))) == $((ceil($c))) ]]; then + clist=($clist $((int($c)))) + else + clist=($clist $c) + fi +done + +basedir="$(pwd)" + +for c in $clist +do + echo '** Starting computation of DSFs for c =' $c', N = '$N + dir='Lieb-Liniger/'$correlator'/T_'$kBT'/c_scan/k_range/k_0_to_'${(l:2::0:)nkmax}'kFo4/sr_'$target_sumrule'/store/data/N_'$N'/c_'$c + cd $dir + Smoothen_LiebLin_DSF_Scaled $whichDSF $c $N $N 0 $iKmax $kBT 0 $ommin $ommax $Nom $width + cd $basedir + echo ' Successfully computed DSFs for c =' $c', N = '$N'.\n' +done diff --git a/scripts/build_LiebLin_c_scan_k_range_dsfs_plot.sh b/scripts/build_LiebLin_c_scan_k_range_dsfs_plot.sh new file mode 100755 index 0000000..7860c03 --- /dev/null +++ b/scripts/build_LiebLin_c_scan_k_range_dsfs_plot.sh @@ -0,0 +1,90 @@ +#! /bin/zsh + +# For given N (L) this +# produces an interactive (tunable c_int) plot for S(k, \omega) +# from data produced from `build_LiebLin_c_scan_k_range[_dsfs]` scripts. + +if [[ $# -ne 6 ]]; then + echo "Arguments needed: whichDSF, kBT, target_sumrule, N, nkmax (max momentum in units of kF/4), width." + exit 1 +fi + +if [[ $1 != 'd' && $1 != 'g' && $1 != 'o' ]]; then + echo "Only the d, g and o scanning options are implemented." + exit 1 +fi + +if [[ $2 -lt 0 ]]; then + echo "Temperature kBT must be > 0." + exit 1 +fi + +if [[ $3 -lt 0 || $3 -gt 1 ]]; then + echo "Requirement: 0 < target_sumrule < 1." + exit 1 +fi + +if [[ $4 -lt 0 ]]; then + echo "N must be > 0." + exit 1 +fi + +if [[ $5 -lt 0 ]]; then + echo "nkmax must be > 0." + exit 1 +fi + +if [[ $6 -lt 0 ]]; then + echo "width must be > 0." + exit 1 +fi + + +whichDSF=$1 +kBT=$2 +target_sumrule=$3 +N=$4 +nkmax=$5 +width=$6 + +correlator='rho-rho' +if [[ $whichDSF == 'o' ]]; then + correlator='psidag-psi' +elif [[ $whichDSF == 'g' ]]; then + correlator='psi-psidag' +fi + +iKmax=$(($nkmax * $N/8)) + +Max_Secs=3600 +refine=0 + +#clist=(1024 512 256 128 64 32 16 8 4 2 1 0.5 0.25 0.125 0.0625 0.03125 0.015625) + +# List of interactions: fractional powers of 2 +clist_raw=() +for nc in {-128..128} +do + clist_raw=($clist_raw $(( 4 * 2**($nc/16.) ))) +done +# Now cast the integer values to true integers +zmodload zsh/mathfunc +clist=() +for c in $clist_raw +do + if [[ $((floor($c))) == $((ceil($c))) ]]; then + clist=($clist $((int($c)))) + else + clist=($clist $c) + fi +done + +basedir="$(pwd)" + +echo '** Starting run for N = '$N +dir='Lieb-Liniger/'$correlator'/T_'$kBT'/c_scan/k_range/k_0_to_'${(l:2::0:)nkmax}'kFo4/sr_'$target_sumrule'/store/plots' +mkdir -p $dir +cd $dir +plot_c_scan_k_range_dsfs.py $N $width +cd $basedir +echo ' Successfully computed DSFs for N = '$N'.\n' diff --git a/scripts/plot_c_scan_k_fixed_dsfs.py b/scripts/plot_c_scan_k_fixed_dsfs.py index f46eec7..b58b989 100755 --- a/scripts/plot_c_scan_k_fixed_dsfs.py +++ b/scripts/plot_c_scan_k_fixed_dsfs.py @@ -53,7 +53,6 @@ fig, ax = plt.subplots() ax.set_xlim(omega[0], omega[-1]) # To determine the y axis limits, we look at the lowest value of c (sharpest peak) dsfsmax = max(dsfs[str(clist[0])]) -print('dsfsmax = ', dsfsmax) ymax = 1.01 * dsfsmax ymax=4 diff --git a/scripts/plot_c_scan_k_range_dsfs.py b/scripts/plot_c_scan_k_range_dsfs.py new file mode 100755 index 0000000..f188a0c --- /dev/null +++ b/scripts/plot_c_scan_k_range_dsfs.py @@ -0,0 +1,83 @@ +#! /usr/bin/env python + +""" +Plot DSF. + +Usage: python plot_dsf_k_range.py [omega file] [dsf file] +""" + +import glob +import matplotlib.pyplot as plt +import matplotlib.animation as animation +import numpy as np +import os +import sys + +N = str(sys.argv[1]) +width = str(sys.argv[2]) + + +# Get the list of interactions which have been computed +dirlist = os.listdir('../data/N_%s' % N) +clist = sorted([float(c.lstrip('c_')) for c in dirlist]) + +# Get the K file +kfile = glob.glob('../data/N_%s/c_%s*/K_*' % (N, str(clist[0]).rstrip('.0')[:12]))[0] +k = np.loadtxt(kfile) + +# Get the Omega file +omegafile = glob.glob('../data/N_%s/c_%s*/Omega*' % (N, str(clist[0]).rstrip('.0')[:12]))[0] +omega = np.loadtxt(omegafile) + +# Load all the available dsfs from the data store +dsfs = {} +for c in clist: + # Do some black magic here: for matching the interaction, + # first try for exact match, stripping '.0' to treat integer values, e.g. 4.0 into 4 + # and then (if it doesn't work) use only the first 12 characters, plus wildcard, to cover rounding errors + try: + dsffile = glob.glob('../data/N_%s/c_%s/*_w_%s.dsfs' % (N, str(c).rstrip('.0'), width))[0] + except IndexError: + dsffile = glob.glob('../data/N_%s/c_%s*/*_w_%s.dsfs' % (N, str(c).rstrip('.0')[:12], width))[0] + dsfs[str(c)] = np.loadtxt(dsffile) + +# Read some useful parameters from (last) file name: +elements = dsffile.rpartition('/')[2].split('_') +L = elements[5] +#N = elements[7] +iKmax = elements[14] +width = elements[22].rpartition('.')[0] +# which leads to +rho = int(N)/int(L) +#kokF = int(iK)*0.5/int(L) + + +fig, ax = plt.subplots() + +# To determine the y axis limits, we look at the lowest value of c (sharpest peak) +dsfsmax = 0.5 + +ymax = omega[-1] +xtext = 0.05 * k[-1] +ytext = 0.9 * ymax + +ax.text(xtext, ytext, f'c = {clist[0]:10.6f}', color='white', fontsize='large') +pcm = ax.pcolormesh(k, omega, dsfs[str(clist[0])], vmax=dsfsmax) +fig.colorbar(pcm, ax=ax) +def animate(i): + ax.clear() + ax.set_title(f'c scan, rho={rho} (N={N}), w={width}', fontsize='x-large') + ax.text(xtext, ytext, f'c = {clist[i]:10.6f}', color='white', fontsize='x-large') + ax.pcolormesh(k, omega, dsfs[str(clist[i])], vmax=dsfsmax) + +ani = animation.FuncAnimation(fig, animate, frames=len(clist), interval=100, repeat=False) + +outfilename = (dsffile.partition('_c_')[0].rpartition('/')[2] + '_c_scan_' + + dsffile.partition('_c_')[2].partition('_')[2].partition('.dsfs')[0]) + +ani.save(outfilename + '.mp4') + +with open(outfilename + '.html', 'w') as file: + file.write(ani.to_html5_video()) + +#plt.show()