plotSolarModel.py

#Tom O'Shea 2024

# plot solar model

import numpy as np
from numpy import loadtxt
from matplotlib import pyplot as plt

plt.style.use("style.txt")	# import plot style

# setup plot
fig2 = plt.figure(1)	# display is 1920 x 1080 (16:9)
ax2 = fig2.subplots()
ax2.set(xlim=(1e-2,1.01), ylim=(1e-3,1.01))
#ax2.set(xlim=(0,1), ylim=(0,3.05e3))


# radius (fraction)
r = loadtxt("data/rFrac.dat")

# plasma freq
dat = loadtxt("data/wp.dat")
dat = dat / np.nanmax(dat)
ax2.plot(r,dat, label='Plasma frequency', ls='--')

# density
dat = loadtxt("data/rho.dat")
dat = dat / np.nanmax(dat)
ax2.plot(r,dat, label='Density', ls='--')

# temperature
dat = loadtxt("data/T.dat")
dat = dat / np.nanmax(dat)
ax2.plot(r,dat,label="Temperature",ls=':')

# B-field
dat = loadtxt("data/Bfields-R.dat")
dat[:,1] = dat[:,1] / np.nanmax(dat[:,1])
ax2.plot(dat[:,0],dat[:,1],label="Magnetic field strength",ls='-')


# electron number density
#dat = loadtxt("data/ne.dat")
#dat = dat / np.nanmax(dat)
#ax2.plot(r,dat,label="Electron number density")

# H number density
#dat = loadtxt("data/nH.dat")
#dat = dat / np.nanmax(dat)
#ax2.plot(r,dat,label="H number density")

# 3He number density
#dat = loadtxt("data/nHe3.dat")
#dat = dat / np.nanmax(dat)
#ax2.plot(r,dat,label="3He number density")

# 4He number density
#dat = loadtxt("data/nHe4.dat")
#dat = dat / np.nanmax(dat)
#ax2.plot(r,dat,label="4He number density")

# 57Fe number density
#dat = loadtxt("data/n57Fe.dat")
#dat = dat / np.nanmax(dat)
#ax2.plot(r,dat,label="57Fe number density",ls='-.')

# axes
ax2.set_xlabel("Solar radius fraction")
#ax2.set_ylabel("Solar parameters (normalised)")
ax2.set_ylabel("B-field strength [T]")
#ax2.set_xscale('log')
#ax2.set_yscale('log')
#ax2.legend()

plt.tight_layout()
name = "solarmodel-lin"
plt.savefig('plots/{}.jpg'.format(name))
plt.savefig('plots/pdfs/{}.pdf'.format(name))
plt.show()
plt.show()