def calculate_collision_rates(rhor, fr, save=True, pyt=False, full_output=False):
start = time.time()
cnt = 0
rates = np.zeros(len(qifracs))
ls = np.zeros(len(qifracs))
for i,qifrac in enumerate(qifracs):
print 'step %s/%s: %s'%(i, len(qifracs), qifrac)
status = s.set_properties_from_env(rhor, fr, qifrac)
ls[i] = s.l
if(status != 1):
print '-'
cnt += 1
else:
print '+'
got_sol = True
if(pyt):
rates[i] = collision_rate_pyt(s.dgr, s.dcr, s.rhog, fr, s.mu, s.l)
else:
rates[i] = collision_rate(s.dgr, s.dcr, s.rhog, fr, s.mu, s.l)
if(save and cnt<3):
path = pathbase%(fr*100, rhor)
np.save(path, rates)
print 'file saved as %s.npy'%(path)
end = time.time()
print 'time elapsed for computing rates: %s'%(end-start)
if(full_output):
return rates, cnt, ls
else:
return rates, cnt
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)