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para_plot.py File Reference
Go to the source code of this file.
Namespaces
namespace
para_plot
Functions
para_plot.file_len
(fname)
Variables
para_plot.pi
= np.pi
float
para_plot.G
= 6.67408*1e-11
float
para_plot.M
= 0.15
int
para_plot.rho_c_ini
= 1
float
para_plot.rho_c0_value
= 1.8788*10**(-26)
float
para_plot.a_i
= 0.001
para_plot.parser
= argparse.ArgumentParser(description='Tracer_conversion')
para_plot.dest
para_plot.required
para_plot.type
para_plot.str
para_plot.help
para_plot.default
para_plot.choices
para_plot.action
para_plot.False
para_plot.args
= parser.parse_args()
para_plot.IfXunitInCode
= args.IfXunitInCode
list
para_plot.snapshots
= [10,30,50]
main code
int
para_plot.snapshot
= 0
list
para_plot.rho
= [[]];
list
para_plot.m_1
= [[]];
list
para_plot.E_t
= [[]]
list
para_plot.coor
= [[]]
para_plot.f
= open("para_"+
str
(snap)+".csv")
para_plot.dat
= f.readlines()[1:]
int
para_plot.count
= 0
para_plot.tem
= list(map(float,line.split(',')))
para_plot.sample_point
= len(
rho
[0])
int
para_plot.origin_point
= int(
sample_point
/2)+1
para_plot.q_id
= args.pq
para_plot.coor_data
= np.array(
coor
[
snapshot
])
para_plot.e_data
= np.array(
E_t
[
snapshot
])
para_plot.m1_data
= np.array(
m_1
[
snapshot
])
para_plot.m2_data
= np.array(m_2[
snapshot
])
para_plot.m3_data
= np.array(m_3[
snapshot
])
para_plot.rho_data
= np.array(
rho
[
snapshot
])
para_plot.q_data
= np.array(
rho
[
snapshot
])
list
para_plot.t_code
=
snapshots
[
snapshot
]
tuple
para_plot.t_real
= (0.1694*
a_i
**(-0.5)-
t_code
/11.8)**(-3)*10**15
float
para_plot.a_scale
= 0.0287*(0.1694*
a_i
**(-0.5)-
t_code
/11.8)**(-2)
int
para_plot.coor_data_physical
= 100*
a_scale
*
coor_data
str
para_plot.q_id_show
= "$"+
q_id
+"/(km/s)$"
int
para_plot.v_hubble
= 100*(2.057*10**17/
t_real
)*
coor_data_physical
float
para_plot.r_ta
=
a_i
*100*3.086*1e19*((3*
M
)/(4*
pi
*
rho_c_ini
))**(1/3)*(4/3/
pi
)**(8/9)*(
t_real
/6.505/1e12)**(8/9)
int
para_plot.rho_scaling
= 1/(6*
pi
*
G
*
t_real
**2)
float
para_plot.v_scaling
=
r_ta
/
t_real
int
para_plot.P_scaling
=
rho_scaling
*
r_ta
**2*1e6/(
t_real
**2)
para_plot.label
applications
exahype2
euler
selfgravitation
accretion-through-approximated-rhs
para_plot.py
Generated on Wed Nov 4 2026 08:20:47 for Peano by
1.9.8