def planetplot():
sun, planets = new_solar_system_for_mercury()
timerange = units.day(numpy.arange(0, 120 * 365.25, 12))
instance = MercuryWayWard()
instance.initialize_code()
instance.central_particle.add_particles(sun)
instance.orbiters.add_particles(planets)
instance.commit_particles()
channels = instance.orbiters.new_channel_to(planets)
for time in timerange:
err = instance.evolve_model(time)
channels.copy()
planets.savepoint(time)
instance.stop()
for planet in planets:
t, x = planet.get_timeline_of_attribute_as_vector("x")
t, y = planet.get_timeline_of_attribute_as_vector("y")
plot(x, y,'.')
native_plot.show()
def planetplot():
sun, planets = new_solar_system_for_mercury()
timerange = units.day(numpy.arange(0, 120 * 365.25, 12))
instance = MercuryWayWard()
instance.initialize_code()
instance.central_particle.add_particles(sun)
instance.orbiters.add_particles(planets)
instance.commit_particles()
channels = instance.orbiters.new_channel_to(planets)
for time in timerange:
err = instance.evolve_model(time)
channels.copy()
planets.savepoint(time)
instance.stop()
for planet in planets:
t, x = planet.get_timeline_of_attribute_as_vector("x")
t, y = planet.get_timeline_of_attribute_as_vector("y")
plot(x, y, '.')
native_plot.show()
def plottillagb():
sse = SSEWithMassEvolve()
sse.commit_parameters()
sun, planets = Solarsystem.new_solarsystem()
sse.particles.add_particles(sun)
sse.commit_particles()
channel = sse.particles.new_channel_to(sun)
channel.copy()
massrange = units.MSun(numpy.arange(1, 0.8, -0.001))
print massrange
masses = [] | units.MSun
timerange = [] | units.Myr
for mass in massrange:
#sse.evolve_model(time)
sse.evolve_mass(mass)
timerange.append(sse.evolve_mass(mass))
channel.copy()
masses.append(sse.particles[0].mass)
#print time.value_in(units.yr), sse.particles[0].mass.value_in(units.MSun)
sse.stop()
plot(massrange, timerange, '.')
native_plot.show()
def planetplot():
sun, planets = new_solar_system_for_mercury()
initial = 12.2138 | units.Gyr
final = 12.3300 | units.Gyr
step = 10000.0 | units.yr
timerange = VectorQuantity.arange(initial, final, step)
gd = MercuryWayWard()
gd.initialize_code()
#gd.stopping_conditions.timeout_detection.disable()
gd.central_particle.add_particles(sun)
gd.orbiters.add_particles(planets)
gd.commit_particles()
se = SSE()
#se.initialize_code()
se.commit_parameters()
se.particles.add_particles(sun)
se.commit_particles()
channelp = gd.orbiters.new_channel_to(planets)
channels = se.particles.new_channel_to(sun)
for time in timerange:
err = gd.evolve_model(time - initial)
channelp.copy()
#planets.savepoint(time)
err = se.evolve_model(time)
channels.copy()
gd.central_particle.mass = sun.mass
print sun[0].mass.value_in(units.MSun), time.value_in(
units.Myr), planets[4].x.value_in(units.AU), planets[4].y.value_in(
units.AU), planets[4].z.value_in(units.AU)
gd.stop()
se.stop()
for planet in planets:
t, x = planet.get_timeline_of_attribute_as_vector("x")
t, y = planet.get_timeline_of_attribute_as_vector("y")
plot(x, y, '.')
native_plot.gca().set_aspect('equal')
native_plot.show()
def planetplot():
sun, planets = new_solar_system_for_mercury()
initial = 12.2138 | units.Gyr
final = 12.3300 | units.Gyr
step = 10000.0 | units.yr
timerange = VectorQuantity.arange(initial, final, step)
gd = MercuryWayWard()
gd.initialize_code()
#gd.stopping_conditions.timeout_detection.disable()
gd.central_particle.add_particles(sun)
gd.orbiters.add_particles(planets)
gd.commit_particles()
se = SSE()
#se.initialize_code()
se.commit_parameters()
se.particles.add_particles(sun)
se.commit_particles()
channelp = gd.orbiters.new_channel_to(planets)
channels = se.particles.new_channel_to(sun)
for time in timerange:
err = gd.evolve_model(time-initial)
channelp.copy()
#planets.savepoint(time)
err = se.evolve_model(time)
channels.copy()
gd.central_particle.mass = sun.mass
print sun[0].mass.value_in(units.MSun), time.value_in(units.Myr), planets[4].x.value_in(units.AU), planets[4].y.value_in(units.AU),planets[4].z.value_in(units.AU)
gd.stop()
se.stop()
for planet in planets:
t, x = planet.get_timeline_of_attribute_as_vector("x")
t, y = planet.get_timeline_of_attribute_as_vector("y")
plot(x, y,'.')
native_plot.gca().set_aspect('equal')
native_plot.show()
def testsse():
sse = SSEWithMassEvolve()
sse.commit_parameters()
sun, planets = new_solar_system_for_mercury()
sse.particles.add_particles(sun)
sse.commit_particles()
channel = sse.particles.new_channel_to(sun)
channel.copy()
massrange = units.MSun(numpy.arange(1, 0.8, -0.001))
masses = [] | units.MSun
timerange = [] | units.Myr
for mass in massrange:
sse.evolve_mass(mass)
t, m = sse.evolve_mass(mass)
timerange.append(t)
channel.copy()
masses.append(sse.particles[0].mass)
sse.stop()
plot(massrange, timerange, '.')
native_plot.show()
def testsse():
sse = SSEWithMassEvolve()
sse.commit_parameters()
sun, planets = new_solar_system_for_mercury()
sse.particles.add_particles(sun)
sse.commit_particles()
channel = sse.particles.new_channel_to(sun)
channel.copy()
massrange = units.MSun(numpy.arange(1, 0.8 ,-0.001))
masses = []|units.MSun
timerange = [] | units.Myr
for mass in massrange:
sse.evolve_mass(mass)
t,m = sse.evolve_mass(mass)
timerange.append(t)
channel.copy()
masses.append(sse.particles[0].mass)
sse.stop()
plot(massrange, timerange,'.')
native_plot.show()
instance.commit_particles()
channelp = instance.particles.new_channel_to(particles)
start = 0 |units.yr
end = 150 | units.yr
step = 10|units.day
timerange = VectorQuantity.arange(start, end, step)
masses = []|units.MSun
for i, time in enumerate(timerange):
instance.evolve_model(time)
channelp.copy()
particles.savepoint(time)
if (i % 220 == 0):
instance.particles[0].mass = simulate_massloss(time)
masses.append(instance.particles[0].mass)
instance.stop()
particle = particles[1]
t, pos = particle.get_timeline_of_attribute_as_vector("position")
distances = pos.lengths().as_quantity_in(units.AU)
plot(timerange, distances , timerange, masses)
native_plot.show()
instance.particles.add_particles(particles)
channelp = instance.particles.new_channel_to(particles)
start = 0 |units.yr
end = 150 | units.yr
step = 10|units.day
timerange = VectorQuantity.arange(start, end, step)
masses = []|units.MSun
for i, time in enumerate(timerange):
instance.evolve_model(time)
channelp.copy()
particles.savepoint(time)
if (i % 220 == 0):
instance.particles[0].mass = simulate_massloss(time)
masses.append(instance.particles[0].mass)
instance.stop()
particle = particles[1]
t, pos = particle.get_timeline_of_attribute_as_vector("position")
distances = pos.lengths().as_quantity_in(units.AU)
plot(timerange, distances , timerange, masses)
native_plot.show()
"""
Creates a number of plots using the AMUSE unit aware plot functions.
"""
from amuse.lab import *
from amuse.plot import *
import numpy as np
if __name__ == "__main__":
#latex_support()
x = np.pi / 20.0 * (range(-10, 10) | units.m)
y1 = units.MSun.new_quantity(np.sin(x.number))
y2 = units.MSun.new_quantity(x.number)
native_plot.subplot(2, 2, 1)
plot(x, y2, label='model')
scatter(x, y1, label='data')
xlabel('x')
ylabel('mass [$M_\odot$]') #overrides auto unit!
native_plot.legend(loc=2)
x = range(50) | units.Myr
y1 = quantities.new_quantity(np.sin(np.arange(0, 1.5, 0.03)),
1e50 * units.erg)
y2 = -(1e43 | units.J) - y1
native_plot.subplot(2, 2, 2)
plot(x, y1, label='$E_\mathrm{kin}$')
plot(x, y2, label='$E_\mathrm{pot}$')
xlabel('t')
ylabel('E')
native_plot.legend()
"""
Creates a number of plots using the AMUSE unit aware plot functions.
"""
from amuse.lab import *
from amuse.plot import *
import numpy as np
if __name__ == "__main__":
#latex_support()
x = np.pi/20.0 * (range(-10,10) | units.m)
y1 = units.MSun.new_quantity(np.sin(x.number))
y2 = units.MSun.new_quantity(x.number)
native_plot.subplot(2,2,1)
plot(x, y2, label='model')
scatter(x, y1, label='data')
xlabel('x')
ylabel('mass [$M_\odot$]')#overrides auto unit!
native_plot.legend(loc=2)
x = range(50) | units.Myr
y1 = quantities.new_quantity(np.sin(np.arange(0,1.5,0.03)), 1e50*units.erg)
y2 = -(1e43 | units.J) - y1
native_plot.subplot(2,2,2)
plot(x, y1, label='$E_\mathrm{kin}$')
plot(x, y2, label='$E_\mathrm{pot}$')
xlabel('t')
ylabel('E')
native_plot.legend()
def plotdata(planets):
for planet in planets:
t, x = planet.get_timeline_of_attribute_as_vector("x")
t, y = planet.get_timeline_of_attribute_as_vector("y")
plot(x, y, '.')
native_plot.show()