85 lines
2.4 KiB
Python
Executable File
85 lines
2.4 KiB
Python
Executable File
#! /usr/bin/env python
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"""
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Plot fixed momentum DSF.
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Usage: python plot_dsf_k_fixed.py [omega file] [dsf file]
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"""
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import glob
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import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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import numpy as np
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import os
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import sys
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N = str(sys.argv[1])
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width = str(sys.argv[2])
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# Get the list of interactions which have been computed
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dirlist = os.listdir('../data/N_%s' % N)
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clist = sorted([float(c.lstrip('c_')) for c in dirlist])
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# Get the Omega file
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omegafile = glob.glob('../data/N_%s/c_%s*/Omega*' % (N, str(clist[0]).rstrip('.0')[:12]))[0]
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omega = np.loadtxt(omegafile)
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# Load all the available dsfs from the data store
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dsfs = {}
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for c in clist:
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# Do some black magic here: for matching the interaction,
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# first try for exact match, stripping '.0' to treat integer values, e.g. 4.0 into 4
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# and then (if it doesn't work) use only the first 12 characters, plus wildcard, to cover rounding errors
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try:
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dsffile = glob.glob('../data/N_%s/c_%s/*_w_%s.dsfs' % (N, str(c).rstrip('.0'), width))[0]
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except IndexError:
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dsffile = glob.glob('../data/N_%s/c_%s*/*_w_%s.dsfs' % (N, str(c).rstrip('.0')[:12], width))[0]
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dsfs[str(c)] = np.loadtxt(dsffile)
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# Read some useful parameters from (last) file name:
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elements = dsffile.rpartition('/')[2].split('_')
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L = elements[5]
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#N = elements[7]
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iK = elements[12]
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width = elements[20].rpartition('.')[0]
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# which leads to
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rho = int(N)/int(L)
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kokF = int(iK)*0.5/int(L)
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fig, ax = plt.subplots()
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ax.set_xlim(omega[0], omega[-1])
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# To determine the y axis limits, we look at the lowest value of c (sharpest peak)
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dsfsmax = max(dsfs[str(clist[0])])
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print('dsfsmax = ', dsfsmax)
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ymax = 1.01 * dsfsmax
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ymax=4
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xtext = 0.6 * omega[-1]
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ytext = 0.9 * ymax
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ax.set_ylim([0, ymax])
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ax.text(xtext, ytext, f'c = {clist[0]}')
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ax.plot(omega, dsfs[str(clist[0])])
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def animate(i):
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ax.clear()
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ax.set_xlim(omega[0], omega[-1])
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ax.set_ylim([0, ymax])
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ax.set_title(f'c scan, rho={rho} (N={N}), k={kokF}k_F, w={width}')
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ax.text(xtext, ytext, f'c = {clist[i]:10.6f}')
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ax.plot(omega, dsfs[str(clist[i])])
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ani = animation.FuncAnimation(fig, animate, frames=len(clist), interval=100, repeat=False)
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outfilename = (dsffile.partition('_c_')[0].rpartition('/')[2] + '_c_scan_' +
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dsffile.partition('_c_')[2].partition('_')[2].partition('.dsfs')[0])
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ani.save(outfilename + '.mp4')
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with open(outfilename + '.html', 'w') as file:
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file.write(ani.to_html5_video())
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#plt.show()
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