def get_data():
"""Get the population data."""
# Construct population
pop = CosmicPopulation(n_srcs=SIZE, n_days=1, name='standard_candle')
pop.set_dist(model='sfr', z_max=2.5, H_0=67.74, W_m=0.3089, W_v=0.6911)
pop.set_dm_host(model='constant', value=100)
pop.set_dm_igm(model='ioka', slope=1000, std=None)
pop.set_dm_mw(model='ne2001')
pop.set_emission_range(low=10e6, high=10e9)
pop.set_lum(model='constant', value=1e36)
pop.set_w(model='constant', value=1.)
pop.set_si(model='constant', value=0)
pop.generate()
# Survey population
pops = {}
for b in BEAMPATTERNS:
pprint(f'Surveying with {b} beampattern')
n_s = 0
bp = b
if b.startswith('airy'):
bp, n_s = b.split('-')
n_s = int(n_s)
survey = Survey(name='perfect-small')
# Prevent beam from getting larger than the sky
survey.set_beam(model=bp, n_sidelobes=n_s, size=10)
surv_pop = SurveyPopulation(pop, survey)
print(surv_pop.source_rate)
pops[b] = surv_pop
return pops
def iter_run(i):
r = CosmicPopulation(N_SRCS, n_days=N_DAYS, repeaters=True)
r.set_dist(model='vol_co', z_max=1.0)
r.set_dm_host(model='gauss', mean=100, std=200)
r.set_dm_igm(model='ioka', slope=1000, std=None)
r.set_dm(mw=True, igm=True, host=True)
r.set_emission_range(low=100e6, high=10e9)
r.set_lum(model='powerlaw',
per_source='different',
low=1e40,
high=1e45,
power=0)
r.set_si(model='gauss', mean=-1.4, std=1)
r.set_w(model='lognormal', per_source='different', mean=0.1, std=1)
rate = lognormal(RATE, 2, N_SRCS)
if LARGE_POP:
rate = lognormal(RATE, 2, int(MAX_SIZE)) # Not completely kosher
r.set_time(model='poisson', rate=rate)
# Set up survey
s = Survey('chime-frb', n_days=N_DAYS)
s.set_beam(model='chime-frb')
s.gen_pointings() # To ensure each sub pop has the same pointings
# Only generate FRBs in CHIME's survey region
r.set_direction(model='uniform',
min_ra=s.ra_min,
max_ra=s.ra_max,
min_dec=s.dec_min,
max_dec=s.dec_max)
if LARGE_POP:
surv_pop = LargePopulation(r, s, max_size=MAX_SIZE).pops[0]
else:
r.generate()
surv_pop = SurveyPopulation(r, s)
surv_pop.name = f'cosmic_chime_longer_{i}'
surv_pop.save()
print(surv_pop.source_rate)
print(surv_pop.burst_rate)
pprint(f'i: {i}')
pprint(f'# one-offs: {surv_pop.n_one_offs()}')
pprint(f'# repeaters: {surv_pop.n_repeaters()}')
"""Example of changing parameters."""
from frbpoppy import CosmicPopulation, Survey
import frbpoppy.gen_dists as gd
# Set up a population
cosmic_pop = CosmicPopulation(1e4, generate=False)
# ... or adapt the population per parameter, e.g.
cosmic_pop.set_dist(z_max=2.5)
# Or to adapt the luminosity
cosmic_pop.set_lum(model='powerlaw', low=1e44, high=1e45)
# Generate the population
cosmic_pop.generate()
# Setup a survey
survey = Survey('wsrt-apertif')
# and adapt the survey with
survey.set_beam('airy', n_sidelobes=2)
survey.snr_limit = 2
# For a full list of available arguments or parameters check the classes as
# defined in /frbpoppy/*.py
# Some more difficult examples
# Use a convolution of two distributions
cosmic_pop = CosmicPopulation.simple(n_srcs=1e4, repeaters=True)
# Draw the mean value per source from a normal distribution
mean_dist = gd.trunc_norm(mean=1, std=2, shape=int(1e4))
# And use those means as a _means_ to generate from a new Gaussian
# distribution per source
cosmic_pop.set_w(model='gauss',
from frbpoppy import CosmicPopulation, Survey, SurveyPopulation
from tests.convenience import plot_aa_style, rel_path
BEAMPATTERNS = ['perfect', 'airy', 'gaussian']
# Generate population with standard candles
pop = CosmicPopulation(n_srcs=5e4, n_days=1, name='standard')
pop.set_dist(model='sfr', z_max=2.5, H_0=67.74, W_m=0.3089, W_v=0.6911)
pop.set_dm_igm(model='ioka', slope=1200, std=0)
pop.set_dm(mw=False, host=False, igm=True)
pop.set_emission_range(low=10e6, high=10e9)
pop.set_lum(model='constant', value=1e36)
pop.set_w(model='constant', value=1)
pop.set_si(model='constant', value=0)
pop.generate()
pop_obs = {}
survey = Survey('perfect-small')
for pattern in BEAMPATTERNS:
survey.set_beam(model=pattern, n_sidelobes=0, size=90)
# Observe populations
pop_obs[pattern] = SurveyPopulation(pop, survey)
pop_obs[pattern].name = f'obs-{pattern}'
pop_obs[pattern].source_rate
print(pop_obs[pattern].source_rate)
pop_obs[pattern].save()
r.set_emission_range(low=100e6, high=10e9)
r.set_lum(model='powerlaw',
per_source='different',
low=1e40,
high=1e45,
power=0)
r.set_si(model='gauss', mean=-1.4, std=1)
r.set_w(model='lognormal', per_source='different', mean=0.1, std=1)
rate = lognormal(ra, 1, int(n))
r.set_time(model='poisson', rate=rate)
# Set up survey
s = Survey('chime-frb', n_days=N_DAYS)
s.set_beam(model='chime-frb')
# Only generate FRBs in CHIME's survey region
r.set_direction(model='uniform',
min_ra=s.ra_min,
max_ra=s.ra_max,
min_dec=s.dec_min,
max_dec=s.dec_max)
r.generate()
surv_pop = SurveyPopulation(r, s)
surv_pop.name = 'cosmic_chime'
print(surv_pop.source_rate)
print(surv_pop.burst_rate)
pprint(f'# one-offs: {surv_pop.n_one_offs()}')
pprint(f'# repeaters: {surv_pop.n_repeaters()}')