def test_rsp1d_delta_no_pha_zero_energy_bin():
"What happens when the first bin starts at 0, with replacement"
ethresh = 1.0e-9
exposure = 0.1
egrid = np.asarray([0.0, 0.1, 0.2, 0.4, 0.5, 0.7, 0.8])
elo = egrid[:-1]
ehi = egrid[1:]
specresp = np.asarray([10.2, 9.8, 10.0, 12.0, 8.0, 10.0])
with warnings.catch_warnings(record=True) as ws:
warnings.simplefilter("always")
adata = create_arf(elo,
ehi,
specresp,
exposure=exposure,
ethresh=ethresh)
validate_zero_replacement(ws, 'ARF', 'user-arf', ethresh)
with warnings.catch_warnings(record=True) as ws:
warnings.simplefilter("always")
rdata = create_delta_rmf(elo, ehi, ethresh=ethresh)
validate_zero_replacement(ws, 'RMF', 'delta-rmf', ethresh)
mdl = MyPowLaw1D()
tmdl = PowLaw1D()
wrapped = RSPModelNoPHA(adata, rdata, mdl)
out = wrapped([0.1, 0.2])
elo[0] = ethresh
expected = specresp * tmdl(elo, ehi)
assert_allclose(out, expected)
assert not np.isnan(out[0])
def test_rmf1d_delta_pha_zero_energy_bin():
"What happens when the first bin starts at 0, with replacement"
ethresh = 2e-7
egrid = np.asarray([0.0, 0.1, 0.2, 0.4, 0.5, 0.7, 0.8])
elo = egrid[:-1]
ehi = egrid[1:]
with warnings.catch_warnings(record=True) as ws:
warnings.simplefilter("always")
rdata = create_delta_rmf(elo, ehi, ethresh=ethresh)
validate_zero_replacement(ws, 'RMF', 'delta-rmf', ethresh)
exposure = 2.4
channels = np.arange(1, 7, dtype=np.int16)
counts = np.ones(6, dtype=np.int16)
pha = DataPHA('test-pha',
channel=channels,
counts=counts,
exposure=exposure)
pha.set_rmf(rdata)
pha.set_analysis('energy')
mdl = MyPowLaw1D()
tmdl = PowLaw1D()
wrapped = RMFModelPHA(rdata, pha, mdl)
out = wrapped([0.1, 0.2])
elo[0] = ethresh
expected = tmdl(elo, ehi)
assert_allclose(out, expected)
assert not np.isnan(out[0])
def setup_covar(make_data_path):
print("A")
ui.load_data(make_data_path('sim.poisson.1.dat'))
ui.set_model(PowLaw1D("p1"))
y = pha.get_y(filter=True)
dplot.plot(xlog=True, ylog=True)
plt.plot(x, y)
savefig('pha_data_compare.png')
pha.set_analysis('wave')
dump("pha.get_x().max()")
wplot = DataPlot()
wplot.prepare(pha)
wplot.plot()
savefig('pha_data_wave.png')
pha.set_analysis('energy')
from sherpa.models.basic import PowLaw1D
from sherpa.astro.xspec import XSphabs
pl = PowLaw1D()
gal = XSphabs()
mdl = gal * pl
pl.gamma = 1.7
gal.nh = 0.2
report("mdl")
egrid = np.arange(0.1, 10, 0.01)
elo, ehi = egrid[:-1], egrid[1:]
emid = (elo + ehi) / 2
plt.clf()
plt.plot(emid, mdl(elo, ehi), label='Absorbed')
plt.plot(emid, pl(elo, ehi), ':', label='Unabsorbed')
plt.xscale('log')
def savefig(name):
outfile = os.path.join(savedir, name)
plt.savefig(outfile)
print("# Created: {}".format(name))
os.chdir('../../../../sherpa-test-data/sherpatest/')
from sherpa.astro.io import read_arf, read_rmf
arf = read_arf('3c273.arf')
rmf = read_rmf('3c273.rmf')
dump("rmf.detchans")
from sherpa.models.basic import PowLaw1D
mdl = PowLaw1D()
from sherpa.astro.instrument import RSPModelNoPHA
inst = RSPModelNoPHA(arf, rmf, mdl)
dump("inst")
report("inst")
from sherpa.models.model import ArithmeticModel
dump("isinstance(inst, ArithmeticModel)")
dump("inst.pars")
dump("inst(np.arange(1, 1025))")
dump("inst([0.1, 0.2, 0.3])")
dump("inst([0.1, 0.2, 0.3]).size")
dump("inst([10, 20]) == inst([])")