def plot_mass(loa_omegas, loa_omega_names, version_string, expl_string):
#plot stellar mass and total mass
vis_obj = visualize(loa_omegas, loa_omega_names, num_yaxes=2)
vis_obj.add_time_mass("locked", index_yaxis=0)
vis_obj.add_time_mass("total", index_yaxis=1)
vis_obj.add_datapoint(
(eris_data().mass["time"][0], eris_data().mass["total_mass"][0]),
index_yaxis=1,
label="M_b(z=0)")
vis_obj.add_datapoint(
(eris_data().mass["time"][1], eris_data().mass["total_mass"][1]),
index_yaxis=1,
label="M_b(z=1)")
vis_obj.finalize(show=False,
save="data/mass_parameters_%s_n%d" %
(version_string, num_steps))
#save "gas_mass" and "m_locked"
for i, mass_type in enumerate(["gas_mass", "m_locked", "m_tot"]):
save_obj = save_data(loa_omegas)
save_obj.make_filenames("data/mass_parameters_%s_%d_n%d" %
(version_string, i, num_steps))
save_obj.make_explanatory_file(
"mass arrays of %s \n%s" % (mass_type, expl_string),
["time"] + loa_omega_names,
"Applying mass parameters to 'Eris' parameters")
save_obj.make_numpy_file(["time", mass_type])
def plot_spectro(loa_omegas,
loa_omega_names,
version_string,
expl_string,
exclude_eu=False):
#Plot spectroscopic data for [O/H], [Fe/H], [Eu/H]
vis_obj = visualize(loa_omegas,
loa_omega_names,
num_yaxes=3,
loa_abu=[],
loa_spectro_abu=["[O/H]", "[Fe/H]", "[Eu/H]"])
vis_obj.add_time_relabu("[O/H]", index_yaxis=0)
vis_obj.add_time_relabu("[Fe/H]", index_yaxis=1)
vis_obj.add_time_relabu("[Eu/H]", index_yaxis=2)
vis_obj.finalize(show=False,
save="data/star_parameters_%s_n%d" %
(version_string, num_steps))
#save data from spectroscopic plots
for i, spectro_string in enumerate(["[O/H]", "[Fe/H]", "[Eu/H]"]):
save_obj = save_data(loa_omegas)
save_obj.make_filenames("data/star_parameters_%s_%d_n%d" %
(version_string, i, num_steps))
save_obj.make_explanatory_file(
"spectroscopic arrays of %s \n%s" % (spectro_string, expl_string),
["time"] + loa_omega_names,
"Applying star-parameters to 'Omega' with mass-parameters determined"
)
save_obj.make_numpy_file(["time", spectro_string])
def plot_spectro(loa_omegas, loa_omega_names, expl_string):
filename = "spectro_n%d" % (num_steps)
#Plot spectroscopic data for [O/H], [Fe/H], [Eu/H]
vis_obj = visualize(loa_omegas, loa_omega_names, num_yaxes=3)
vis_obj.add_time_relabu("[O/H]", index_yaxis=0)
vis_obj.add_time_relabu("[Fe/H]", index_yaxis=1)
vis_obj.add_time_relabu("[Eu/H]", index_yaxis=2)
vis_obj.finalize(show=False, save=filename + ".png")
#save data from spectroscopic plots
for i, spectro_string in enumerate(["[O/H]", "[Fe/H]", "[Eu/H]"]):
save_obj = save_data(loa_omegas)
save_obj.make_filenames(filename + "_param%d" % i)
save_obj.make_explanatory_file(
"spectroscopic arrays of %s \n%s" % (spectro_string, expl_string),
["time"] + loa_omega_names, "Final 'Eris'-bestfit of 'Omega'")
save_obj.make_numpy_file(["time", spectro_string])
def plot_rates(loa_omegas, loa_omega_names, expl_string):
filename = "rates_n%d" % (num_steps)
#plot star-formation, kilonova, and supernova rates
vis_obj = visualize(loa_omegas, loa_omega_names, num_yaxes=3)
vis_obj.add_time_rate("sf", index_yaxis=0)
vis_obj.add_time_rate("sn", index_yaxis=1)
vis_obj.add_time_rate("kn", index_yaxis=2)
vis_obj.finalize(show=False, save=filename + ".png")
#save data from rates
for i, rate_key in enumerate(["sf", "sn2", "nsns"]):
save_obj = save_data(loa_omegas)
save_obj.make_filenames(filename + "_param%d" % i)
save_obj.make_explanatory_file(
"Rate arrays of %s \n%s" % (rate_key, expl_string),
["time"] + loa_omega_names, "Final 'Eris'-bestfit of 'Omega'")
save_obj.make_numpy_file(["time", rate_key])
def plot_rates(loa_omegas, loa_omega_names, version_string, expl_string):
#plot star-formation, kilonova, and supernova rates
vis_obj = visualize(loa_omegas, loa_omega_names, num_yaxes=3)
vis_obj.add_time_rate("sf", index_yaxis=0)
vis_obj.add_time_rate("sn", index_yaxis=1)
vis_obj.add_time_rate("kn", index_yaxis=2)
vis_obj.finalize(show=False,
save="data/mass_parameters_%s_n%d" %
(version_string, num_steps))
#save data from rates
for i, rate_key in enumerate(["sf", "sn2", "nsns"]):
save_obj = save_data(loa_omegas)
save_obj.make_filenames("data/mass_parameters_%s_%d_n%d" %
(version_string, i, num_steps))
save_obj.make_explanatory_file(
"Rate arrays of %s \n%s" % (rate_key, expl_string),
["time"] + loa_omega_names,
"Applying mass parameters to 'Eris' parameters")
save_obj.make_numpy_file(["time", rate_key])
def plot_mass(loa_omegas, loa_omega_names, expl_string):
filename = "masses_n%d" % (num_steps)
#plot stellar mass and total mass
vis_obj = visualize(loa_omegas, loa_omega_names, num_yaxes=2)
vis_obj.add_time_mass("locked", index_yaxis=0)
vis_obj.add_time_mass("total", index_yaxis=1)
vis_obj.add_datapoint(
(eris_data().mass["time"][0], eris_data().mass["total_mass"][0]),
index_yaxis=1,
label="M_b(z=0)")
vis_obj.add_datapoint(
(eris_data().mass["time"][1], eris_data().mass["total_mass"][1]),
index_yaxis=1,
label="M_b(z=1)")
vis_obj.finalize(show=False, save=filename + ".png")
#save "gas_mass" and "m_locked"
for i, mass_type in enumerate(["gas_mass", "m_locked", "m_tot"]):
save_obj = save_data(loa_omegas)
save_obj.make_filenames(filename + "_param%d" % i)
save_obj.make_explanatory_file(
"mass arrays of %s \n%s" % (mass_type, expl_string),
["time"] + loa_omega_names, "Final 'Eris'-bestfit of 'Omega'")
save_obj.make_numpy_file(["time", mass_type])
#Make list of all 'Omega' instances and appr. names
loa_omegas = [eris_omega, clean_slate_omega,
milky_way_omega, milky_way_cte_omega]
loa_omega_names = ["'Eris'", "deafult", "Milky Way default",
"Milky Way cte default"]
if False:
#plot star-formation, kilonova, and supernova rates
vis_obj = visualize(loa_omegas, loa_omega_names, num_yaxes=3)
vis_obj.add_time_rate("sf", index_yaxis=0)
vis_obj.add_time_rate("sn", index_yaxis=1)
vis_obj.add_time_rate("kn", index_yaxis=2)
vis_obj.finalize(show=False, save="data/%seris_parameters_rates"%highres_string)
#save data from rates
for i,rate_key in enumerate(["sf", "sn2", "nsns"]):
save_obj = save_data(loa_omegas)
save_obj.make_filenames("data/%seris_parameters_rates%d"%(highres_string, i))
save_obj.make_explanatory_file("File contains rate-arrays of %s"%rate_key,
["time"]+loa_omega_names,
"Applying 'Eris' to default")
save_obj.make_numpy_file(["time", rate_key])
if False:
#Plot spectroscopic data for [O/H], [Fe/H], [Eu/H]
vis_obj = visualize(loa_omegas, loa_omega_names,
num_yaxes=3)
vis_obj.add_time_relabu("[O/H]", index_yaxis=0)
vis_obj.add_time_relabu("[Fe/H]", index_yaxis=1)
vis_obj.add_time_relabu("[Eu/H]", index_yaxis=2)
vis_obj.finalize(show=False, save="data/%seris_parameters_spectro"%highres_string)
#save data from spectroscopic plots
