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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 19 14:17:28 2024
@author: chingchen
"""
import pandas as pd
import numpy as np
import numpy.ma as ma
from matplotlib import cm
import matplotlib as mpl
from scipy.misc import derivative
import matplotlib.pyplot as plt
labelsize = 20
bwith = 3
### PATH ###
path = '/Users/chingchen/Desktop/data/'
workpath = '/Users/chingchen/Desktop/StagYY_Works/thermal_evolution_v2/'
modelpath = '/Users/chingchen/Desktop/model/'
figpath = '/Users/chingchen/Desktop/figure/'
colors=['#282130','#849DAB','#35838D','#CD5C5C','#97795D','#414F67','#4198B9','#2F4F4F']
colors=['#B22222','#849DAB','#4B0082','#282130','#D2691E']
header_list = ['time_Gyr','Prad','Ptidal','Fcore','Pint','Hint','conv',
'melt','P','zbot','%vol','Tbot','Tm','Fbot','Ftop','dlid','T_core']
#
fig,(aa1,aa2) = plt.subplots(2,1,figsize=(11,18))
ax=aa1
# ---------------------------------------- figure --------------------------------
model_list = ['Europa-tidal5_period0.14Gyr_emx10%_eta1.0d14_P0.6TW_1.5wt%_D5.0km-NH3',
'Europa-tidal5_period0.14Gyr_emx10%_eta1.0d14_P1.0TW_1.5wt%_D5.0km-NH3',
'Europa-tidal5_period0.14Gyr_emx5%_eta1.0d14_P1.0TW_1.5wt%_D5.0km-NH3'
]
label_list = ['5%','10%','20%','30%','50%']
label_list = ['161 km','138 km','10%','15%','20%']
min_zbot = []
max_zbot = []
amplitude_zbot=[]
i = 0
model = model_list[0]
data = pd.read_csv(workpath+model+'_Hvar_2_thermal-evolution.dat',
header=None,names=header_list,delim_whitespace=True)[2:].reset_index(drop=True)
data = data.replace('D','e',regex=True).astype(float) # data convert to float
x = data.time_Gyr
mask_cond = data.conv
mask_conv = ~ma.array(data.zbot, mask = data.conv).mask
zbot_cond = ma.array(data.Ptidal, mask = mask_cond)
zbot_conv = ma.array(data.Ptidal, mask = mask_conv)
# ax.plot(x,zbot_conv,color=colors[i],label=label_list[2],lw=3)
model = 'Europa-tidal1_eta1.0d14_P1.0TW_1.5wt%-NH3'
data = pd.read_csv(workpath+model+'_Hvar_2_thermal-evolution.dat',
header=None,names=header_list,delim_whitespace=True)[2:].reset_index(drop=True)
data = data.replace('D','e',regex=True).astype(float) # data convert to float
x = data.time_Gyr
ax.plot(x,data.Prad,color=colors[3],lw=3)
Radio = data.Fcore*4*np.pi**3/3/1000
# ax.plot(x,Radio,color=colors[3],lw=3)
aa2.plot(x,data.Fcore,color=colors[i],lw=3)
# model = model_list[1]
# data = pd.read_csv(workpath+model+'_Hvar_2_thermal-evolution.dat',
# header=None,names=header_list,delim_whitespace=True)[2:].reset_index(drop=True)
# data = data.replace('D','e',regex=True).astype(float) # data convert to float
# Radio = data.Fcore*4*np.pi**3/3/1000
# ax.plot(x,Radio,color=colors[2],lw=3)
# model = model_list[2]
# data = pd.read_csv(workpath+model+'_Hvar_2_thermal-evolution.dat',
# header=None,names=header_list,delim_whitespace=True)[2:].reset_index(drop=True)
# data = data.replace('D','e',regex=True).astype(float) # data convert to float
# Radio = data.Fcore*4*np.pi**3/3/1000
# ax.plot(x,Radio,color=colors[3],lw=3)
model_list = ['Europa-tidal5_period0.14Gyr_emx10%_eta1.0d14_P0.6TW_1.5wt%_D5.0km-NH3',
'Europa-tidal5_period0.14Gyr_emx5%_eta1.0d14_P1.0TW_1.5wt%_D5.0km-NH3',
'Europa-tidal5_period0.14Gyr_emx10%_eta1.0d14_P1.0TW_1.5wt%_D5.0km-NH3',
'Europa-tidal5_period0.14Gyr_emx20%_eta1.0d14_P1.0TW_1.5wt%_D5.0km-NH3',
'Europa-tidal5_period0.14Gyr_emx50%_eta1.0d14_P1.0TW_1.5wt%_D5.0km-NH3',
]
model_list = ['Europa-tidal5_period0.14Gyr_emx10%_eta1.0d14_P0.6TW_1.5wt%_D5.0km-NH3',
'Europa-tidal5_period0.14Gyr_emx5%_eta1.0d14_P0.6TW_1.5wt%_D5.0km-NH3',
'Europa-tidal5_period0.14Gyr_emx10%_eta1.0d14_P0.6TW_1.5wt%_D5.0km-NH3',
'Europa-tidal5_period0.14Gyr_emx20%_eta1.0d14_P0.6TW_1.5wt%_D5.0km-NH3',
'Europa-tidal5_period0.14Gyr_emx50%_eta1.0d14_P0.6TW_1.5wt%_D5.0km-NH3',
]
for i, model in enumerate(model_list):
i = i
data = pd.read_csv(workpath+model+'_Hvar_2_thermal-evolution.dat',
header=None,names=header_list,delim_whitespace=True)[2:].reset_index(drop=True)
data = data.replace('D','e',regex=True).astype(float) # data convert to float
x = data.time_Gyr
mask_cond = data.conv
mask_conv = ~ma.array(data.zbot, mask = data.conv).mask
zbot_cond = ma.array(data.Pint, mask = mask_cond)
zbot_conv = ma.array(data.Pint, mask = mask_conv)
# kk = ma.array(data.Pint+data.Prad, mask = mask_conv)
ax.plot(x,zbot_conv,color=colors[i],label=label_list[i],lw=3)
ax.plot(x,zbot_cond,color=colors[i],label=label_list[i],lw=3)
if i ==2:
ax.plot(x,data.Pint+data.Prad,color=colors[i],label=label_list[i],lw=3)
# for kk in range(1,700):
print(np.max(data.Pint))
aa2_min = aa2.twinx()
aa2_min.plot(x,data.T_core,color='gray',linestyle='dashed',lw=3)
# ------------------------------ figure setting ------------------------------
ax.set_ylim(0,2)
aa2_min.set_ylim(0,1600)
aa2.set_ylim(0,20)
ax.set_ylabel('Total Power (TW)',fontsize = labelsize)
aa2.yaxis.label.set_color(colors[0])
aa2_min.set_ylabel('Core temperature (K)',fontsize = labelsize)
aa2.set_ylabel('Surface heat flux ',fontsize = labelsize)
aa2.set_xlabel('Time (Gyr)',fontsize=labelsize)
aa2.tick_params(axis='y',colors=colors[0])
aa2_min.tick_params(labelsize=labelsize,width=3,length=10,left=False, top=True,direction='in',pad=15)
for aa in [ax,aa2]:
aa.tick_params(which='minor', length=5, width=2, direction='in')
aa.tick_params(labelsize=labelsize,width=3,length=10,right=False, top=True,direction='in',pad=15)
aa.minorticks_on()
aa.grid()
for aa in [ax,aa2,aa2_min]:
aa.set_xlim(0,4.55)
for axis in ['top','bottom','left','right']:
aa.spines[axis].set_linewidth(bwith)
# fig.savefig('/Users/chingchen/Desktop/StagYY_Works/paper_europa_ice_shell/figureS1_v5.pdf')