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()}')
"""Plot how beampatterns can change the IGM DM distribution."""
import numpy as np
import matplotlib.pyplot as plt
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
N_SRCS = [3e4, 3.5e4, 4e4]
N_DAYS = 100
RATE = [8, 9, 10] # per day
# Chime started in Aug 2018. Assuming 2/day for one-offs.
# Total of 9 repeaters published on 9 Aug 2019. = ~year
N_CHIME = {'rep': 9, 'one-offs': 365 * 2, 'time': 365}
for n in N_SRCS:
for ra in RATE:
print(f'# sources: {n}')
print(f'rate: {ra}')
r = CosmicPopulation(n, 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(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')