File:Gliese 12b temperature as rotation in 2 3 resonance 1 r 1 1 1 1.png
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[edit]DescriptionGliese 12b temperature as rotation in 2 3 resonance 1 r 1 1 1 1.png |
English: Gliese 12 b temperature if it is desert planet and rotation in 2 3 resonance |
Date | |
Source | Own work |
Author | Merikanto |
Python3 source code
- coding: utf-8
- EBM for trappist-1e
- based on Bell's energy balance model
- 27.05.2023 v 0000.0001c
-
- you must pip install . from directory or so on Bell EBM from github
- https://github.com/taylorbell57/Bell_EBM
- you must have Python 3
- copy directory to your computer, go the directoty, then "pip install ."
-
import numpy as np
import scipy.ndimage
import matplotlib.pyplot as plt
import matplotlib as mpl
import astropy.constants as const
import Bell_EBM as ebm
- params of planet
- albedo=0.32
- albedo=0.70
- Trappist-1e
- rad=0.920
- mass=0.692
- a=0.02925
- Trappist-1c
- rad=1.097
- mass=1.308
- a=0.0158
- S=2.214
- Teq 339.7 K 66.6 C
- Trappist-1f
- rad=1.045
- mass=1.039
- a=0.03949
- S=0.242
- Teq=217.7, -55.5
- e=0.0
- argp=0
- obliquity=0
- star_teff=2550.
- star_rad=0.114
- star_mass=0.089
- star_teff=2511.
- star_rad=0.121
- star_mass=0.08
def simulate_ebm(groundtype1):
## gliese 12
albedo=0.3
star_teff=3296.
star_rad=0.2617
star_mass=0.2414
rad=0.96
mass=0.85
a=0.0668
e=0.1
argp=0.0
simulen=1000
simustepj=1000
cp_N2 = 1.039e3 # J/(kg K)
cp_H2O = 4.2e6 # J/(kg K)
cp_rock = .800e6 # J/(kg K)
# We'll pretend the whole atmosphere absorbs and radiates
P0 = const.atm.value
## quite flat, maybe greenhouse model!
planet = ebm.Planet(groundtype1, rad=const.R_earth.value*rad, mass=const.M_earth.value*mass,a=a*const.au.value, e=e, argp=argp, albedo=albedo)
#planet = ebm.Planet('rock', rad=const.R_earth.value*rad, mass=const.M_earth.value*mass,a=a*const.au.value, e=e, argp=argp, albedo=albedo)
#planet = ebm.Planet('gas', rad=const.R_earth.value*rad, mass=const.M_earth.value*mass,a=a*const.au.value, e=e, argp=argp,cp=cp_N2, mlDepth=P0, albedo=albedo)
#star = ebm.Star()
star = ebm.Star(teff=star_teff, rad=star_rad, mass=star_mass)
system = ebm.System(star, planet)
#system.planet.Prot = system.planet.Porb*(2./3.)
system.planet.Prot = system.planet.Porb*(2./3.)
Teq = np.median(system.get_teq(np.linspace(0.,system.planet.Porb,simustepj, endpoint=False)))
T0 = Teq*np.ones_like(system.planet.map.values)
t0 = 0
t1 = t0+system.planet.Porb*simulen
dt = system.planet.Porb/simustepj
times, maps = system.run_model(T0, t0, t1, dt, verbose=False)
T0 = maps[-1]
t0 = times[-1]
t1 = t0+system.planet.Porb
dt = system.planet.Porb/simustepj
print("Running please wait ...")
times, maps = system.run_model(T0, t0, t1, dt, verbose=False, intermediates=True)
phases = system.get_phase(times)
phasePeri = system.get_phase_periastron()
indexPeri = np.argmin(np.abs(phases-phasePeri))
subStellLon = system.planet.orbit.get_ssp(system.planet.orbit.t_peri)[0]
#mapp1=maps[indexPeri]-273.15
#mapps1=maps[indexPeri]
## take last orbit to average
mapps1=maps[-simustepj:]
#print(np.shape(mapps1))
mappa1=np.mean(mapps1, axis=0)
mapp1=mappa1-273.15
tmean1=round(np.mean(mapp1),2)
tmin1=round(np.min(mapp1),2)
tmax1=round(np.max(mapp1),2)
#print(" Temperature degC mean(grid) min max " , tmean1, tmin1, tmax1)
return(mapp1)
- mapp1=simulate_ebm("water")
mapp2=simulate_ebm("rock")
- mapp3=simulate_ebm("gas")
- mappc1=(mapp1+mapp2+mapp3)/3
plotmapp1=mapp2
def fmt(x):
s = f"{x:.2f}"
return rf"{s} "
plt.title("Gliese 12 b temperature", fontsize=16)
plt.xticks(fontsize=14)
plt.yticks(fontsize=14)
plotmapp2 = scipy.ndimage.zoom(plotmapp1, 4)
levels1=[-300,-200,-180,-150,-120,-110,-100,-90,-80,-70,-60,-50,-40,-20,-10,-5,0,5,10,15,20,25,30,35,40,45,50,60,70,80,90,100,110,120,130,140,150,200,250,300,400,500,600,700,800,1000,2000,3000,4000]
contourcolours1=["#00003f"]
vmin1=-150
vmax1=150
cmap1="coolwarm"
cmap1="jet"
cmap1="bwr"
cmap1="RdBu_r"
cmap1="seismic"
cmap1="RdYlBu_r"
cmap1="Spectral_r"
cmap1="hsv_r"
cmap1="turbo"
- cmap1="rainbow"
- cmap1="gist_rainbow_r"
plt.imshow(plotmapp2,interpolation= "bicubic", cmap=cmap1, origin="lower", vmin=vmin1, vmax=vmax1, extent=[-180, 180, -90, 90])
CS=plt.contour(plotmapp2,alpha=0.5, extent=[-180, 180, -90, 90], levels=levels1 ,origin='lower', colors=contourcolours1)
plt.clabel(CS, fontsize=14)
plt.show()
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