Repository navigation
Expand file tree
/
Copy pathP1_fig3_ftop.py
More file actions
152 lines (143 loc) · 7.81 KB
/
Copy pathP1_fig3_ftop.py
File metadata and controls
152 lines (143 loc) · 7.81 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 26 01:04:03 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','#3CB371','#4682B4','#CD5C5C','#97795D','#414F67','#4198B9','#3CB371']
header_list = ['time_Gyr','Prad','Ptidal','Fcore','Pint','Hint','conv',
'melt','P','zbot','%vol','Tbot','Tm','Fbot','Ftop','dlid','T_core']
fig,(ax3,ax4) = plt.subplots(1,2,figsize=(17,7))
label_list=['vol = 0.%','vol = 1.5%','vol = 3.0%']
# ---------------------------------------- figure 3 --------------------------------
# model_list = ['Europa-tidal1_eta1.0d14_P1.2TW_0.0wt%-NH3',
# 'Europa-tidal1_eta1.0d14_P1.2TW_1.5wt%-NH3',
# 'Europa-tidal1_eta1.0d14_P1.2TW_3.0wt%-NH3',
# ]
# for i, model in enumerate(model_list):
# 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.Ftop, mask = data.conv).mask
# zbot_cond = ma.array(data.Ftop, mask = mask_cond)
# zbot_conv = ma.array(data.Ftop, mask = mask_conv)
# ax3.plot(x,zbot_conv,color=colors[i],label=label_list[i],lw=3)
# ax3.plot(x,zbot_cond,color='darkred')
# # ---------------------------------------- figure 3 dash --------------------------------
# model_list = ['Europa-tidal1_eta1.0d14_P0.8TW_0.0wt%-NH3',
# 'Europa-tidal1_eta1.0d14_P0.8TW_1.5wt%-NH3',
# 'Europa-tidal1_eta1.0d14_P0.8TW_3.0wt%-NH3',
# ]
# for i, model in enumerate(model_list):
# 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.Ftop, mask = data.conv).mask
# zbot_cond = ma.array(data.Ftop, mask = mask_cond)
# zbot_conv = ma.array(data.Ftop, mask = mask_conv)
# ax3.plot(x,zbot_conv,color=colors[i],lw=3,linestyle='dashed')
# ax3.plot(x,zbot_cond,color='darkred')
# print(zbot_conv)
# ---------------------------------------- figure 3 dash 1.0 TW --------------------------------
model_list = ['Europa-tidal1_eta1.0d14_P1.0TW_0.0wt%-NH3',
'Europa-tidal1_eta1.0d14_P1.0TW_1.5wt%-NH3',
'Europa-tidal1_eta1.0d14_P1.0TW_3.0wt%-NH3',
]
for i, model in enumerate(model_list):
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.Ftop, mask = data.conv).mask
zbot_cond = ma.array(data.Ftop, mask = mask_cond)
zbot_conv = ma.array(data.Ftop, mask = mask_conv)
ax3.plot(x,zbot_conv,color=colors[i],lw=3,label=label_list[i])
ax3.plot(x,zbot_cond,color='darkred')
# print(zbot_conv)
# ---------------------------------------- figure 4 --------------------------------
# model_list = ['Europa-tidal5_period0.14Gyr_emx10%_eta1.0d14_P1.2TW_0.0wt%_D5.0km-NH3',# composition
# 'Europa-tidal5_period0.14Gyr_emx10%_eta1.0d14_P1.2TW_1.5wt%_D5.0km-NH3',
# 'Europa-tidal5_period0.14Gyr_emx10%_eta1.0d14_P1.2TW_3.0wt%_D5.0km-NH3',
# ]
# for i, model in enumerate(model_list):
# 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.Ftop, mask = data.conv).mask
# zbot_cond = ma.array(data.Ftop, mask = mask_cond)
# zbot_conv = ma.array(data.Ftop, mask = mask_conv)
# ax4.plot(x,zbot_conv,color=colors[i],label=label_list[i],lw=3)
# ax4.plot(x,zbot_cond,color='darkred')
# print(np.max(data.zbot[data.time_Gyr>2.5]),np.mean(data.zbot[data.time_Gyr>2.5]),np.min(data.zbot[data.time_Gyr>2.5]))
# # ---------------------------------------- figure 4 dashed --------------------------------
# model_list = ['Europa-tidal5_period0.14Gyr_emx10%_eta1.0d14_P0.8TW_0.0wt%_D5.0km-NH3',# composition
# 'Europa-tidal5_period0.14Gyr_emx10%_eta1.0d14_P0.8TW_1.5wt%_D5.0km-NH3',
# 'Europa-tidal5_period0.14Gyr_emx10%_eta1.0d14_P0.8TW_3.0wt%_D5.0km-NH3',
# ]
# for i, model in enumerate(model_list):
# 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.Ftop, mask = data.conv).mask
# zbot_cond = ma.array(data.Ftop, mask = mask_cond)
# zbot_conv = ma.array(data.Ftop, mask = mask_conv)
# ax4.plot(x,zbot_conv,color=colors[i],linestyle='dashed',lw=1)
# ax4.plot(x,zbot_cond,color='darkred',linestyle='dashed')
# print(np.max(data.zbot[data.time_Gyr>2.5]),np.mean(data.zbot[data.time_Gyr>2.5]),np.min(data.zbot[data.time_Gyr>2.5]))
# ---------------------------------------- figure 4 dashed 1.0 TW--------------------------------
model_list = ['Europa-tidal5_period0.14Gyr_emx10%_eta1.0d14_P1.0TW_0.0wt%_D5.0km-NH3',# composition
'Europa-tidal5_period0.14Gyr_emx10%_eta1.0d14_P1.0TW_1.5wt%_D5.0km-NH3',
'Europa-tidal5_period0.14Gyr_emx10%_eta1.0d14_P1.0TW_3.0wt%_D5.0km-NH3',
]
for i, model in enumerate(model_list):
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.Ftop, mask = data.conv).mask
zbot_cond = ma.array(data.Ftop, mask = mask_cond)
zbot_conv = ma.array(data.Ftop, mask = mask_conv)
ax4.plot(x,zbot_conv,color=colors[i],lw=2)
ax4.plot(x,zbot_cond,color='darkred')
print(np.max(data.Ftop[data.time_Gyr>0.5]),np.mean(data.Ftop[data.time_Gyr>0.5]),np.min(data.Ftop[data.time_Gyr>2.5]))
# ------------------------------ figure setting ------------------------------
ax3.legend(fontsize=labelsize)
ax3.set_xlabel('Time (Gyr)',fontsize=labelsize)
ax4.set_xlabel('Time (Gyr)',fontsize=labelsize)
for aa in [ax3,ax4]:
aa.set_ylim(30,60)
aa.set_ylabel('Surface heat flux',fontsize = labelsize)
aa.minorticks_on()
aa.tick_params(which='minor', length=5, width=2, direction='in')
aa.tick_params(labelsize=labelsize,width=3,length=10,right=True, top=True,direction='in',pad=15)
aa.set_xlim(0,4.55)
aa.grid()
for axis in ['top','bottom','left','right']:
aa.spines[axis].set_linewidth(bwith)
ax3.set_title('Viscosity = 10$^{14}$ with constant total power = 1.0 TW',fontsize=labelsize-2)
ax4.set_title('Viscosity = 10$^{14}$ with varying total power = 1.0 TW ',fontsize=labelsize-2)
# fig.savefig('/Users/chingchen/Desktop/StagYY_Works/paper_europa_ice_shell/figureSSS1_v2_ftop.pdf')