textbook example code: 2017arXiv170307029H_Fig3.pyΒΆ

[source code]

import numpy
from amuse.lab import *
from matplotlib import pyplot

R_young_stars = [ 0.1012221753955787, 0.2968660204589863,
                  0.5017430508551541, 0.7046418772801384, 0.8984687805821738,
                  1.1087212228990806, 1.296848150063784]
S_young_stars = [ 69.68021137071266, 21.28302762211248 ,
                  8.871846723535821 , 4.634361707743547 , 0.842276996426784 ,
                  0.35283784451473543, 0.32284672967371486]

R_all_stars = [ 0.09966839700574376, 0.29542608638995443,
                0.4910636790322119, 0.6989696157755654, 0.9093883458890231,
                1.1027718150669223, 1.3041555749011087]

S_all_stars = [246.4266804633498 , 108.52660553059054,
               59.62962877617595 , 22.170446486030563
               , 6.83698178212555 , 2.8123977037860786
               , 0.28189901519958876]



R_dense_gas = [ 0.10160842129883879, 0.30957902551862887,
                0.5005420834356191, 0.6940641257773106,
                0.8993648870413651, 1.107381682315753,
                1.2954901330586175]


S_dense_gas = [587.057496278814, 193.757708949030, 81.05652212929158,
               25.83103135675521, 13.72720495792530,
               4.161094960653975, 3.939217817754274]

R_all_gas = [ 0.09890162549942522, 0.2971536318319011,
              0.5047269929821525, 0.6955052866807527,
              0.8934247174201266, 1.0960741121502846,
              1.296349286674131]
S_all_gas = [ 1011.82389615108 , 382.3950057709804, 262.3523868909657
              , 154.2500699106347,
              107.5704842567941,
              88.9640154049995 ,
              68.72257895441606]

pyplot.rcParams.update({'font.size': 30})
fig, ax = pyplot.subplots(figsize=[16,10])
ax.minorticks_on() # switch on the minor ticks
ax.tick_params('both', length=15, width=2, which='major')
ax.tick_params('both', length=6, width=1, which='minor')
from distinct_colours import get_distinct
colors = get_distinct(10)

pyplot.scatter(R_young_stars, S_young_stars, s=100, marker='s', c=colors[6], lw=0)
pyplot.scatter(R_all_stars, S_all_stars, s=100, marker='s', c=colors[0], lw=0)
#pyplot.scatter(R_dense_gas, S_dense_gas, s=100, marker='s', c=colors[7], lw=0)
pyplot.scatter(R_all_gas, S_all_gas, s=100, marker='s', c=colors[3], lw=0)

def plot_radial_distribution(gas, nbin, c, lw):
    X = []
    Ymean = []
    Ystd = []
    for gi in range(len(gas)-nbin):
        X.append(gas[gi: gi+nbin].r.value_in(units.parsec).mean())
        S = (gas[gi+nbin].r**2-gas[gi].r**2)
        rho = gas[gi: gi+nbin].mass.sum()/S
        #if hasattr(gas, "rho"):
        #rho = gas[gi: gi+nbin].rho.max()*S.sqrt()
        Ymean.append(rho.value_in(units.MSun/units.parsec**2))
    pyplot.plot(X, Ymean, c=colors[c], lw=lw)

def plot_radial_density_distribution(gas, stars):

    com = stars.center_of_mass()

    gas.r = ((gas.x-com[0])**2 + (gas.y-com[1])**2).sqrt()
    gas = gas.sorted_by_attributes("r")

    stars.r = ((stars.x-com[0])**2 + (stars.y-com[1])**2).sqrt()
    stars = stars.sorted_by_attributes("r")

    max_age = stars.birth_age.max()
    young_stars = stars[max_age-stars.birth_age<1.5|units.Myr]

    mN2H = 2*29.02134
    cutoff_density = 1e5 * mN2H * constants.atomic_unit_of_mass/(1|units.cm**3)
    dense_gas = gas[gas.density>cutoff_density]

    plot_radial_distribution(gas, 100, c=3, lw=4)

#    plot_radial_distribution(dense_gas, 100, c=7, lw=2)
    plot_radial_distribution(stars, 60, c=0, lw=4)
    plot_radial_distribution(young_stars, 10, c=6, lw=4)
    pyplot.xlim(0, 1.1)
    pyplot.ylim(1, 1100)
    pyplot.semilogy()
    pyplot.xlabel("R [pc]")
    pyplot.ylabel("$\Sigma$ [M$_\odot$ pc$^{-2}]$")
#    pyplot.show()
    pyplot.savefig("2017arXiv170307029H_Fig3")

def main(filename=None):

    disk = Particles(0)
    stars = Particles(0)
    bodies = read_set_from_file(filename, "amuse")
    for bi in bodies.history:
      #print bi
      if len(bi)>0:
        if hasattr(bi, "name") and "gas" in bi.name:
            disk.add_particles(bi.copy())
        elif "Star" in bi.name:
            stars.add_particles(bi.copy())

    print "Stellar masses:", stars.mass.min().in_(units.MSun), stars.mass.mean().in_(units.MSun), stars.mass.max().in_(units.MSun), stars.mass.median().in_(units.MSun)

    #plot_age_gasdensity(disk, stars)
    plot_radial_density_distribution(disk, stars)

def new_option_parser():
    from amuse.units.optparse import OptionParser
    result = OptionParser()
    result.add_option("-f",
                      dest="filename", default ="GMC_R2pcN20k_SE_T45Myr.amuse",
                      help="output filename [%default]")
    return result

if __name__ in ('__main__', '__plot__'):
    o, arguments  = new_option_parser().parse_args()
    main(**o.__dict__)

Keywords: python, amuse, astrophysics, matplotlib, pylab, example, codex (see how-to-search-examples)