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Adapted spectra plots as per Olivers wishes: changed end to z=0; adapted y-label for power plot; added fine background grid; also slightly shifted positions of wavelet and time labels to keep them symmetric and out of other content as much as possible

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glatterf42 2022-08-10 12:09:50 +02:00
parent 630e6e86b2
commit 60bd933469
2 changed files with 14 additions and 4 deletions
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4
2d.py
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@ -1,3 +1,7 @@
"""
Looks like this file takes one snapshot (line 26) and visualises specified halos (line 28) as a 2d-projection. Might not be accurate, hasn't been changed in a long time.
"""
from pathlib import Path
import matplotlib.pyplot as plt

14
spectra_plot.py
View file

@ -94,7 +94,7 @@ def create_plot(mode):
# TODO: better names
ax_ics: "ics",
ax_z1: "z=1",
ax_end: "end"
ax_end: "z=0"
}
bottom_row = i == len(waveforms) - 1
top_row = i == 0
@ -103,7 +103,7 @@ def create_plot(mode):
if bottom_row:
ax.set_xlabel("k [Mpc$^{-1}$]")
ax.text(
0.02,
0.01,
0.85,
f"{waveform}",
horizontalalignment="left",
@ -111,7 +111,7 @@ def create_plot(mode):
transform=ax.transAxes,
)
ax.text(
0.98,
0.99,
0.85,
axes_names[ax],
horizontalalignment="right",
@ -129,7 +129,7 @@ def create_plot(mode):
# ax.set_yticklabels([])
if mode == "power":
ax_ics.set_ylabel("P")
ax_ics.set_ylabel("$\\mathrm{{P}}_\\mathrm{{X}}$ / $\\mathrm{{P}}_{{1024}}$")
for j, resolution in enumerate(resolutions):
ics_data = spectra_data(waveform, resolution, resolution, Lbox, "ics")
ics_k = ics_data["k [Mpc]"]
@ -157,6 +157,8 @@ def create_plot(mode):
ax_end.semilogx(end_k, end_p1, color=colors[j])
for ax in [ax_ics, ax_z1, ax_end]:
ax.set_ylim(0.9, 1.10)
ax.set_axisbelow(True)
ax.grid(color='black', linestyle=':', linewidth=0.5, alpha=0.5)
# fig.suptitle(f"Power Spectra {time}") #Not needed for paper
@ -190,6 +192,10 @@ def create_plot(mode):
crossing_value = end_pcross[crossing_index] # and here
crossings[i][j] = crossing_value
for ax in [ax_ics, ax_z1, ax_end]:
ax.set_axisbelow(True)
ax.grid(color='black', linestyle=':', linewidth=0.5, alpha=0.5)
ax_end.set_xlim(right=k0 * resolutions[-1])
ax_end.set_ylim(0.8, 1.02)
if bottom_row: