def tpv(thermo):
thermo['pActual'] = thermo['Pressure']
T0 = ideal.tpv(thermo)
thermtuple = 'LK tpv',thermo
#print (thermtuple, type(thermtuple))
T = scipy.optimize.newton(tfpv, T0, None, thermtuple)
return T
def vtp(thermo):
thermo['pActual'] = thermo['Pressure']
v0 = ideal.vtp(thermo)
thermtuple = 'LK vtp',thermo
#print (thermtuple, type(thermtuple))
v = scipy.optimize.newton(vftp, v0, None, thermtuple)
return v
@author: sthalabard
"""
#%% Startup File
startup_file='init_python.py'
exec(open(startup_file).read())
%matplotlib qt
import IdealGas as IG
FigFolder='PerfectGas'
if not os.path.exists(FigFolder): os.mkdir(FigFolder)
SAVEFIG=False
#Set initial distribution
g=IG.GP(N=800,L=1,beta=1)
g.t=-50
output=os.path.join(FigFolder,'Exp1_N%d' %(g.N,))
if SAVEFIG and not os.path.exists(output):
os.mkdir(output); os.mkdir(os.path.join(output,'FULL')); os.mkdir(os.path.join(output,'REVERSED'))
#%% Define Frame
fig,axs=newfig(1,3,num='Paradoxical Mixing 1',clear=True,tight_layout=True)
bins_P=np.linspace(-4,4,25)
x=np.linspace(-6,6,1000)
dx=x[2]-x[1]
ax=axs[0] #Positions
ax.set_xlim(-3,3)
ax.set_ylim(-3,3)
@author: sthalabard """ #%% Startup File startup_file='init_python.py' exec(open(startup_file).read()) %matplotlib qt import IdealGas as IG FigFolder='PerfectGas' if not os.path.exists(FigFolder): os.mkdir(FigFolder) SAVEFIG=False #Set initial distribution by patching gas together ga1=IG.GP(N=800,L=1,beta=0.1); ga1.steps(M=1000,h=1e-2); ga1.q[:,0]+=-1; ga1.q[:,1]+=1 ga2=IG.GP(N=ga1.N,L=1,beta=0.1); ga2.steps(M=1000,h=1e-2);ga2.q[:,0]+=-1; ga2.q[:,1]+=-1 gb1=IG.GP(N=ga1.N,L=1,beta=4); gb1.steps(M=1000,h=1e-2);gb1.q[:,0]+=1; gb1.q[:,1]+=1 gb2=IG.GP(N=ga1.N,L=1,beta=4) ; gb2.steps(M=1000,h=1e-2);gb2.q[:,0]+=1; gb2.q[:,1]+=-1 #COLD GAS gb=IG.GP(N=ga1.N*2,L=2,beta=gb1.beta) gb.p[:ga1.N,:]=gb1.p gb.p[ga1.N:2*ga1.N,:]=gb2.p gb.q[:ga1.N,:]=gb1.q gb.q[ga1.N:2*ga1.N,:]=gb2.q #HOT GAS ga=IG.GP(N=ga1.N*2,L=2,beta=ga1.beta) ga.p[:ga1.N,:]=ga1.p
