def calc_mass_sed(dmin, dmax, dgr, dcr, rhog, l, mu, fr):
#D = [[dmin, dth], [dth, dgr], [dgr, dcr], [dcr, dmax]]
D = [[dmin, dth], [dth, min(dgr,dmax)], [min(dgr,dmax), min(dcr,dmax)], [min(dcr,dmax), dmax]]
a = b = np.zeros(4)
b[0] = 3.0
b[1] = bva
b[2] = 3.0
b[3] = bva
a[0] = pisxth*rhoi
a[1] = ava
a[2] = pisxth*rhog
a[3] = 1/(1-fr)*ava
gamma = pifrth
sigma = bva
# f = lambda x, alpha, beta, gamma, sigma: tv.calc_vt_simple(x, alpha, beta, gamma, sigma)*gp.gammapdf(x, mu, l)*alpha*x**beta
f = lambda x, alpha, beta, gamma, sigma: gp.gammapdf(x, mu, l)*alpha*x**beta
integral = 0
for i in range(4):
#if(D[i][0] < dmax):
if(1):
tmp = quad(f, D[i][0], min(dmax, D[i][1]), args=(a[i], b[i], gamma, sigma))
print tmp[0]
integral += tmp[0]
return integral
def integrate(rhor, fr, nitot, qitot, ttot, dt, dtout):
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.set_xlabel('log(D) in m')
ax.set_ylabel('t in s')
ax.set_zlabel('dN/dlog(D)')
qifrac = qitot/nitot
status = s.set_properties_from_env(rhor, fr, qifrac)
D = np.logspace(-5, -2, 100)
tt = np.ones_like(D)
if(status != 1):
print '-'
else:
print '+'
t = 0.0
while(t < ttot):
if(t%dtout == 0):
ax.plot(np.log10(D), tt*t, D*gammapdf(D, s.mu, s.l)*nitot, color=(0,0,0))
rate = collision_rate_pyt(s.dgr, s.dcr, s.rhog, fr, s.mu, s.l)*nitot**2
nitot = nitot - dt*rate
t += dt
qifrac = qitot/nitot
status = s.set_properties_from_env(rhor, fr, qifrac)
print 'step %i/%i: %s'%(t/dt, float(ttot)/dt, status)
print 'N_i = %i'%(nitot)
def collision_integrand(Ds, Dl, dgr, dcr, rhog, fr, mu, l):
Nl = gp.gammapdf(Dl, mu, l)
Ns = gp.gammapdf(Ds, mu, l)
K = calc.calc_kernel(Dl, Ds, dgr, dcr, rhog, fr)
return Nl*Ns*K
