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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,150 @@ | ||
| #!/usr/bin/python3 | ||
| import scienceplots | ||
| import numpy as np | ||
| from scipy import interpolate | ||
| import matplotlib as mat | ||
| import matplotlib.pyplot as plt | ||
| from mpl_toolkits.axes_grid1.inset_locator import inset_axes | ||
|
|
||
| cdict = { | ||
| "blue" : "#0077BB", | ||
| "cyan" : "#33BBEE", | ||
| "teal" : "#009988", | ||
| "orange" : "#EE7733", | ||
| "red" : "#CC3311", | ||
| "magenta" : "#EE3377", | ||
| "grey" : "#BBBBBB", | ||
| } | ||
| plt.switch_backend("TkAgg") | ||
| plt.style.use(["science", "std-colors"]) | ||
| # mat.rcParams.update({'font.size': 28}) | ||
| # mat.rcParams.update({"font.size": 16}) | ||
| mat.rcParams["font.size"] = 16 | ||
| mat.rcParams["mathtext.fontset"] = "cm" | ||
| mat.rcParams["font.family"] = "Times New Roman" | ||
| # size = 36 | ||
| # sizein = 12 | ||
|
|
||
| points = ['o','^','s','v','p','<','h','>'] | ||
| # Colormap = ["blue", "red", "orange", "violet", "green", "black", "darkblue"] | ||
| # Color_beta = {0.125: "red", 0.25: "orange", 0.5: "violet", 1.0: "green", 2.0: "blue", 2.5:"darkblue", 16.0: "black"} | ||
| Colormap = [ | ||
| cdict["blue"], | ||
| cdict["red"], | ||
| cdict["orange"], | ||
| cdict["magenta"], | ||
| cdict["cyan"], | ||
| "black", | ||
| cdict["teal"], | ||
| ] | ||
| # pt_beta = {0.125: 'o', 0.25: '^', 0.5: 'h', 1.0: 'v', 2.0: 'd', 2.5:'p', 16.0: 's'} | ||
| pts = ['s', '^', 'v', 'p', 's', 'o', 'd'] | ||
| # fig, axes = plt.subplots(1,2, sharex='col')#, sharey=True, gridspec_kw={'wspace': 0}) | ||
| # fig, ax1 = plt.subplots(figsize=(6, 4.6)) | ||
| fig, ax1 = plt.subplots(figsize=(6, 4)) | ||
| # fig.set_size_inches(13,10) | ||
|
|
||
| # m_VDMC = [1.0, 0.95861, 0.9511, 0.9516, 0.9601, 0.968, 0.9782] | ||
| # m_VDMC_err = [0, 0.00089, 0.0021, 0.0031, 0.0022, 0.0021, 0.0025] | ||
| # rs_VDMC = [0, 0.5, 1, 2, 3, 4, 5] | ||
| m_VDMC = [1.0, 0.95893, 0.9514, 0.9516, 0.9597, 0.9692, 0.9771, 0.9842] | ||
| m_VDMC_err = [0, 0.00067, 0.0016, 0.0018, 0.0016, 0.0026, 0.0028, 0.0029] | ||
| rs_VDMC = [0, 0.5, 1, 2, 3, 4, 5, 6] | ||
|
|
||
| rs_VMC = [0, 1, 2, 4, 5, 10] | ||
| # m_BFVMC = [[1.00, 0.01], [0.98, 0.01], [1.00, 0.02], [1.09,0.03],[1.28, 0.03]] | ||
| m_BFVMC = [1.0, 1.00, 0.98, 1.00, 1.09, 1.28] | ||
| m_BFVMC_err = [0, 0.01, 0.01, 0.02, 0.03, 0.03] | ||
| # m_SJVMC = [[0.96,0.01], [0.94, 0.02], [0.94, 0.02], [1.02, 0.02], [1.13, 0.03]] | ||
| m_SJVMC = [1.0, 0.96, 0.94, 0.94, 1.02, 1.13] | ||
| m_SJVMC_err = [0, 0.01, 0.02, 0.02, 0.02, 0.03] | ||
|
|
||
| rs_DMC = [0, 1, 2, 3, 4, 5] | ||
| m_DMC = [1.0, 0.918, 0.879, 0.856, 0.842, 0.791] | ||
| m_DMC_err = [0, 0.006, 0.014, 0.014, 0.017, 0.01] | ||
|
|
||
| rs_RPA = [0, 1, 2, 3, 4, 5, 6] | ||
| # m_RPA = [[0.97, 0], [0.992,0], [1.016,0] [1.039,0], [1.059, 0]] | ||
| # m_Gp = [[0.952, 0], [0.951, 0], [0.956, 0], [0.962, 0], [0.968, 0]] | ||
| # m_Gpm = [[0.957, 0], [0.966, 0], [0.983, 0], [1.005, 0], [1.028,0]] | ||
| m_G0W0 = [1.0, 0.970, 0.992, 1.016, 1.039, 1.059, 1.078] | ||
| m_Gp = [1.0, 0.952, 0.951, 0.956, 0.962, 0.968, 0.973] | ||
| m_Gpm = [1.0, 0.957, 0.966, 0.983, 1.005, 1.028, 1.055] | ||
|
|
||
| def errorbar_mvsrs(rs, mdata, merr, idx, label, ax=ax1, zorder=None): | ||
| if zorder is not None: | ||
| handle = ax.errorbar(rs, mdata, merr, fmt=pts[idx], capthick=1, capsize=4, | ||
| ms=5, color=Colormap[idx], label=label, zorder=zorder) | ||
| else: | ||
| handle = ax.errorbar(rs, mdata, merr, fmt=pts[idx], capthick=1, capsize=4, | ||
| ms=5, color=Colormap[idx], label=label) | ||
| return handle | ||
|
|
||
| def plot_mvsrs(rs, mdata, idx, label, ls='-', ax=ax1): | ||
| # mfitfunc = interpolate.PchipInterpolator(rs, mdata) | ||
| mfitfunc = interpolate.Akima1DInterpolator(rs, mdata) | ||
| # xgrid = np.arange(0, 6.2, 0.02) | ||
| xgrid = np.arange(0, 6.2, 0.02) | ||
| # ax.plot(rs, mdata, 'o', ms=10, color=Colormap[idx]) | ||
| # ax.plot(xgrid, mfitfunc(xgrid), ls=ls, lw=2, color=Colormap[idx], label=label) | ||
| handle, = ax.plot(xgrid, mfitfunc(xgrid), ls=ls, color=Colormap[idx], label=label) | ||
|
|
||
| yfit = np.ma.masked_invalid(mfitfunc(xgrid)) | ||
| # print(yfit) | ||
| print("Turning point: rs = ", xgrid[np.argmin(yfit)]) | ||
| print("Effective mass ratio at turning point: ", np.min(yfit)) | ||
| return handle | ||
|
|
||
| # m_QMC = [m_DMC, m_SJVMC] | ||
| # m_QMC_errs = [m_DMC_err, m_SJVMC_err] | ||
| # labels = ["DMC (2021)", "VMC (2023)"] | ||
| # idx = 0 | ||
| # for (mdat, merr, label) in zip(m_QMC, m_QMC_errs, labels): | ||
| # errorbar_mvsrs(rs_VMC, mdat, merr, idx, label) | ||
| # idx = idx + 1 | ||
| handle1 = errorbar_mvsrs(rs_DMC, m_DMC, m_DMC_err, 0, "DMC [11]", zorder=10) | ||
| handle2 = errorbar_mvsrs(rs_VMC, m_SJVMC, m_SJVMC_err, 1, "VMC [12]", zorder=20) | ||
|
|
||
| l1_handles = [] | ||
| m_RPA = [m_G0W0, m_Gp, m_Gpm] | ||
| # merr = np.zeros(len(rs_RPA)) | ||
| labels = [r"$G_0W_0$", r"$G_+$", r"$G_+$\,\&\,$G_-$"] | ||
| # labels = [r"$G_0W_0$", r"$G_+$ [15]", r"$G_+$\,\&\,$G_-$ [15]"] | ||
| idx = 2 | ||
| for (mdat, label) in zip(m_RPA, labels): | ||
| print("\nPlotting ", label) | ||
| handle = plot_mvsrs(rs_RPA, mdat, idx, label, '--') | ||
| l1_handles.append(handle) | ||
| idx = idx + 1 | ||
|
|
||
| handle3 = errorbar_mvsrs(rs_VDMC, m_VDMC, m_VDMC_err, idx, "Our data", zorder=30) | ||
| # rs_VDMC.append(5.2) | ||
| # m_VDMC.append(0.98) | ||
| print("\nPlotting our data") | ||
| plot_mvsrs(rs_VDMC, m_VDMC, idx, "", '-') | ||
|
|
||
| ax1.set_xlabel(r"$r_s$") | ||
| ax1.set_ylabel(r"$m^*/m$") | ||
| ax1.set_xlim(0, 6.2) | ||
| ax1.set_ylim(0.745, 1.095) | ||
| # ax1.set_ylim(0.78, 1.065) | ||
| # ax1.set_ylim(0.94, 0.99) | ||
| # ax1.legend(loc="upper left", fontsize=14, ncol=2) | ||
|
|
||
| # Assemble legends | ||
| l2_handles = [handle1, handle2, handle3] | ||
| # top_legend = plt.legend(handles=l1_handles, loc="upper left", fontsize=14, title="Ref.[15]") | ||
| top_legend = plt.legend(handles=l1_handles, loc="upper left", fontsize=14) | ||
| bottom_legend = plt.legend(handles=l2_handles, loc="lower left", fontsize=14) | ||
| ax1.add_artist(top_legend) | ||
| ax1.add_artist(bottom_legend) | ||
| ax1.set_xticks([0, 1, 2, 3, 4, 5, 6]) | ||
| ax1.set_yticks([0.8, 0.85, 0.9, 0.95, 1.0, 1.05]) | ||
|
|
||
| # ax1.set_xlabel(r"$r_s$", size=34) | ||
| # ax1.set_ylabel(r"$m^*/m$", size=34) | ||
| # ax1.tick_params(labelsize=30) | ||
| # ax1.legend(loc=2, labelspacing=1) | ||
| # ax1.legend(loc=3, fontsize=26) | ||
|
|
||
| plt.savefig("meff_3DUEG.pdf") |
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