Beispiel #1
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def test_annulus(answer_store, answer_dir):

    tmpdir = tempfile.mkdtemp()
    curdir = os.getcwd()
    os.chdir(tmpdir)

    r_in = 10.0
    r_out = 30.0

    ann_pos = AnnulusModel(ra0, dec0, r_in, r_out)

    ann_src = SimputPhotonList.from_models("ann", spec, ann_pos,
                                           exp_time, area, prng=prng)
    sim_cat = SimputCatalog.from_source("ann_simput.fits", ann_src,
                                        overwrite=True)

    instrument_simulator("ann_simput.fits", "ann_evt.fits", exp_time,
                         "lynx_hdxi", [ra0, dec0], ptsrc_bkgnd=False,
                         instr_bkgnd=False, foreground=False, prng=prng)

    write_radial_profile("ann_evt.fits", "ann_evt_profile.fits", [ra0, dec0],
                         1.1*r_in, 0.9*r_out, 100, ctr_type="celestial",
                         emin=0.5, emax=7.0, overwrite=True)

    file_answer_testing("EVENTS", "ann_evt.fits", answer_store, answer_dir)
    file_answer_testing("PROFILE", "ann_evt_profile.fits", answer_store, 
                        answer_dir)

    os.chdir(curdir)
    shutil.rmtree(tmpdir)
Beispiel #2
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def test_beta_model_flux(answer_store, answer_dir):
    tmpdir = tempfile.mkdtemp()
    curdir = os.getcwd()
    os.chdir(tmpdir)

    r_c = 20.0
    beta = 1.0

    prng = 34

    beta_src_pos = BetaModel(ra0, dec0, r_c, beta)
    sim_cat = SimputCatalog.from_models("beta", "beta", spec, beta_src_pos,
                                        exp_time, area, prng=prng)
    sim_cat.write_catalog(overwrite=True)

    instrument_simulator("beta_simput.fits", "beta_flux_evt.fits", exp_time,
                         "acisi_cy0", [ra0, dec0], ptsrc_bkgnd=False,
                         instr_bkgnd=False, foreground=False, 
                         roll_angle=37.0, prng=prng)

    wspec = spec.new_spec_from_band(0.5, 7.0)

    make_exposure_map("beta_flux_evt.fits", "beta_expmap.fits", wspec.emid.value,
                      weights=wspec.flux.value, overwrite=True)

    write_radial_profile("beta_flux_evt.fits", "beta_flux_evt_profile.fits",
                         [ra0, dec0], 0.0, 100.0, 200, ctr_type="celestial",
                         emin=0.5, emax=7.0, expmap_file="beta_expmap.fits",
                         overwrite=True)

    file_answer_testing("EVENTS", "beta_flux_evt.fits", answer_store, answer_dir)
    file_answer_testing("PROFILE", "beta_flux_evt_profile.fits", answer_store, answer_dir)

    os.chdir(curdir)
    shutil.rmtree(tmpdir)
Beispiel #3
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def test_beta_model(answer_store, answer_dir):
    tmpdir = tempfile.mkdtemp()
    curdir = os.getcwd()
    os.chdir(tmpdir)

    prng = 32

    r_c = 20.0
    beta = 1.0

    exp_time = Quantity(500.0, "ks")

    beta_src_pos = BetaModel(ra0, dec0, r_c, beta)
    beta_src = SimputPhotonList.from_models("beta", spec, beta_src_pos,
                                            exp_time, area, prng=prng)
    sim_cat = SimputCatalog.from_source("beta_simput.fits", beta_src,
                                        overwrite=True)

    instrument_simulator("beta_simput.fits", "beta_evt.fits", exp_time,
                         "chandra_acisi_cy0", [ra0, dec0], ptsrc_bkgnd=False,
                         instr_bkgnd=False, foreground=False, prng=prng)

    write_radial_profile("beta_evt.fits", "beta_evt_profile.fits", [ra0, dec0],
                         0.0, 100.0, 200, ctr_type="celestial", emin=0.5,
                         emax=7.0, overwrite=True)

    file_answer_testing("EVENTS", "beta_evt.fits", answer_store, 
                        answer_dir)
    file_answer_testing("PROFILE", "beta_evt_profile.fits", answer_store,
                        answer_dir)

    os.chdir(curdir)
    shutil.rmtree(tmpdir)
Beispiel #4
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def test_annulus(answer_store, answer_dir):

    tmpdir = tempfile.mkdtemp()
    curdir = os.getcwd()
    os.chdir(tmpdir)

    r_in = 10.0
    r_out = 30.0

    ann_pos = AnnulusModel(ra0, dec0, r_in, r_out)

    sim_cat = SimputCatalog.from_models("ann", "ann", spec, ann_pos,
                                        exp_time, area, prng=prng)
    sim_cat.write_catalog(overwrite=True)

    instrument_simulator("ann_simput.fits", "ann_evt.fits", exp_time,
                         "hdxi", [ra0, dec0], ptsrc_bkgnd=False, 
                         instr_bkgnd=False, foreground=False, prng=prng)

    write_radial_profile("ann_evt.fits", "ann_evt_profile.fits", [ra0, dec0],
                         1.1*r_in, 0.9*r_out, 100, ctr_type="celestial",
                         emin=0.5, emax=7.0, overwrite=True)

    file_answer_testing("EVENTS", "ann_evt.fits", answer_store, answer_dir)
    file_answer_testing("PROFILE", "ann_evt_profile.fits", answer_store, answer_dir)

    os.chdir(curdir)
    shutil.rmtree(tmpdir)
Beispiel #5
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def test_thermal(answer_store, answer_dir):

    prng = RandomState(71)

    tmpdir = tempfile.mkdtemp()
    curdir = os.getcwd()
    os.chdir(tmpdir)

    spectrum_answer_testing(spec, "thermal_spec.h5", answer_store, answer_dir)

    pt_src_pos = PointSourceModel(30.0, 45.0)
    sim_cat = SimputCatalog.from_models("thermal_model", "thermal_model", spec,
                                        pt_src_pos, exp_time, area, prng=prng)
    sim_cat.write_catalog(overwrite=True)

    instrument_simulator("thermal_model_simput.fits", "thermal_model_evt.fits", exp_time, 
                         inst_name, [30.0, 45.0], ptsrc_bkgnd=False, foreground=False,
                         instr_bkgnd=False, prng=prng)

    write_spectrum("thermal_model_evt.fits", "thermal_model_evt.pha", overwrite=True)

    file_answer_testing("EVENTS", "thermal_model_evt.fits", answer_store, answer_dir)
    file_answer_testing("SPECTRUM", "thermal_model_evt.pha", answer_store, answer_dir)

    os.chdir(curdir)
    shutil.rmtree(tmpdir)
Beispiel #6
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def test_beta_model(answer_store, answer_dir):
    tmpdir = tempfile.mkdtemp()
    curdir = os.getcwd()
    os.chdir(tmpdir)

    prng = 32

    r_c = 20.0
    beta = 1.0

    exp_time = Quantity(500.0, "ks")

    beta_src_pos = BetaModel(ra0, dec0, r_c, beta)
    sim_cat = SimputCatalog.from_models("beta", "beta", spec, beta_src_pos,
                                        exp_time, area, prng=prng)
    sim_cat.write_catalog(overwrite=True)

    instrument_simulator("beta_simput.fits", "beta_evt.fits", exp_time,
                         "acisi_cy0", [ra0, dec0], ptsrc_bkgnd=False,
                         instr_bkgnd=False, foreground=False, prng=prng)

    write_radial_profile("beta_evt.fits", "beta_evt_profile.fits", [ra0, dec0],
                         0.0, 100.0, 200, ctr_type="celestial", emin=0.5,
                         emax=7.0, overwrite=True)

    file_answer_testing("EVENTS", "beta_evt.fits", answer_store, answer_dir)
    file_answer_testing("PROFILE", "beta_evt_profile.fits", answer_store, answer_dir)

    os.chdir(curdir)
    shutil.rmtree(tmpdir)
Beispiel #7
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def test_absorption_line(answer_store, answer_dir):
    tmpdir = tempfile.mkdtemp()
    curdir = os.getcwd()
    os.chdir(tmpdir)

    const_flux = 1.0e-3
    line_pos = 1.0
    line_width = 0.02
    line_amp = 1.0e-5

    exp_time = (100.0, "ks")
    inst_name = "lynx_xgs"

    spec = Spectrum.from_constant(const_flux, 0.1, 3.0, 100000)
    spec.add_absorption_line(line_pos, line_width, line_amp)

    spectrum_answer_testing(spec, "absorption_line_test.h5", answer_store,
                            answer_dir)

    simulate_spectrum(spec,
                      inst_name,
                      exp_time,
                      "absorption_line_evt.pha",
                      overwrite=True,
                      prng=prng)

    file_answer_testing("SPECTRUM", "absorption_line_evt.pha", answer_store,
                        answer_dir)

    os.chdir(curdir)
    shutil.rmtree(tmpdir)
Beispiel #8
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def test_beta_model_flux(answer_store, answer_dir):
    tmpdir = tempfile.mkdtemp()
    curdir = os.getcwd()
    os.chdir(tmpdir)

    r_c = 20.0
    beta = 1.0

    prng = 34

    beta_src_pos = BetaModel(ra0, dec0, r_c, beta)
    sim_cat = SimputCatalog.from_models("beta",
                                        "beta",
                                        spec,
                                        beta_src_pos,
                                        exp_time,
                                        area,
                                        prng=prng)
    sim_cat.write_catalog(overwrite=True)

    instrument_simulator("beta_simput.fits",
                         "beta_flux_evt.fits",
                         exp_time,
                         "acisi_cy0", [ra0, dec0],
                         ptsrc_bkgnd=False,
                         instr_bkgnd=False,
                         foreground=False,
                         roll_angle=37.0,
                         prng=prng)

    wspec = spec.new_spec_from_band(0.5, 7.0)

    make_exposure_map("beta_flux_evt.fits",
                      "beta_expmap.fits",
                      wspec.emid.value,
                      weights=wspec.flux.value,
                      overwrite=True)

    write_radial_profile("beta_flux_evt.fits",
                         "beta_flux_evt_profile.fits", [ra0, dec0],
                         0.0,
                         100.0,
                         200,
                         ctr_type="celestial",
                         emin=0.5,
                         emax=7.0,
                         expmap_file="beta_expmap.fits",
                         overwrite=True)

    file_answer_testing("EVENTS", "beta_flux_evt.fits", answer_store,
                        answer_dir)
    file_answer_testing("PROFILE", "beta_flux_evt_profile.fits", answer_store,
                        answer_dir)

    os.chdir(curdir)
    shutil.rmtree(tmpdir)
Beispiel #9
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def plaw_fit(alpha_sim, answer_store, answer_dir):

    tmpdir = tempfile.mkdtemp()
    curdir = os.getcwd()
    os.chdir(tmpdir)

    nH_sim = 0.02
    norm_sim = 1.0e-4
    redshift = 0.01

    exp_time = (50.0, "ks")
    area = 40000.0
    inst_name = "new_hdxi"

    spec = Spectrum.from_powerlaw(alpha_sim, redshift, norm_sim, 0.1, 10.0,
                                  20000)
    spec.apply_foreground_absorption(nH_sim, model="tbabs")

    spectrum_answer_testing(spec, f"power_law_{alpha_sim}.h5", answer_store,
                            answer_dir)

    pt_src_pos = PointSourceModel(30.0, 45.0)
    pt_src = SimputPhotonList.from_models("plaw_model",
                                          spec,
                                          pt_src_pos,
                                          exp_time,
                                          area,
                                          prng=prng)
    cat = SimputCatalog.from_source("plaw_model_simput.fits",
                                    pt_src,
                                    overwrite=True)

    instrument_simulator("plaw_model_simput.fits",
                         f"plaw_model_{alpha_sim}_evt.fits",
                         exp_time,
                         inst_name, [30.0, 45.0],
                         instr_bkgnd=False,
                         ptsrc_bkgnd=False,
                         foreground=False,
                         prng=prng)

    write_spectrum(f"plaw_model_{alpha_sim}_evt.fits",
                   f"plaw_model_{alpha_sim}_evt.pha",
                   overwrite=True)

    file_answer_testing("EVENTS", f"plaw_model_{alpha_sim}_evt.fits",
                        answer_store, answer_dir)
    file_answer_testing("SPECTRUM", f"plaw_model_{alpha_sim}_evt.pha",
                        answer_store, answer_dir)

    os.chdir(curdir)
    shutil.rmtree(tmpdir)
Beispiel #10
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def test_emission_line(answer_store, answer_dir):
    tmpdir = tempfile.mkdtemp()
    curdir = os.getcwd()
    os.chdir(tmpdir)

    const_flux = 1.0e-4
    line_pos = 5.0
    line_width = 0.02
    line_amp = 1.0e-5

    exp_time = (100.0, "ks")
    area = 30000.0
    inst_name = "lynx_lxm"

    spec = Spectrum.from_constant(const_flux, 1.0, 10.0, 20000)
    spec.add_emission_line(line_pos, line_width, line_amp)

    spectrum_answer_testing(spec, "emission_line_test.h5", answer_store,
                            answer_dir)

    pt_src_pos = PointSourceModel(30.0, 45.0)
    sim_cat = SimputCatalog.from_models("emission_line",
                                        "emission_line",
                                        spec,
                                        pt_src_pos,
                                        exp_time,
                                        area,
                                        prng=prng)
    sim_cat.write_catalog(overwrite=True)

    instrument_simulator("emission_line_simput.fits",
                         "emission_line_evt.fits",
                         exp_time,
                         inst_name, [30.0, 45.0],
                         instr_bkgnd=False,
                         ptsrc_bkgnd=False,
                         foreground=False,
                         prng=prng)

    write_spectrum("emission_line_evt.fits",
                   "emission_line_evt.pha",
                   overwrite=True)

    file_answer_testing("EVENTS", "emission_line_evt.fits", answer_store,
                        answer_dir)
    file_answer_testing("SPECTRUM", "emission_line_evt.pha", answer_store,
                        answer_dir)

    os.chdir(curdir)
    shutil.rmtree(tmpdir)
Beispiel #11
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def test_thermal_from_spectrum(answer_store, answer_dir):

    prng = RandomState(89)

    tmpdir = tempfile.mkdtemp()
    curdir = os.getcwd()
    os.chdir(tmpdir)

    inst = get_instrument_from_registry(inst_name)

    simulate_spectrum(spec, inst["name"], exp_time,
                      "thermal_model_spec_evt.pha", prng=prng)

    file_answer_testing("SPECTRUM", "thermal_model_spec_evt.pha", answer_store, answer_dir)

    os.chdir(curdir)
    shutil.rmtree(tmpdir)
Beispiel #12
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def test_thermal_nei(answer_store, answer_dir):

    prng = RandomState(71)

    tmpdir = tempfile.mkdtemp()
    curdir = os.getcwd()
    os.chdir(tmpdir)

    spectrum_answer_testing(spec_nei, "thermal_spec_nei.h5", answer_store,
                            answer_dir)

    pt_src_pos = PointSourceModel(30.0, 45.0)
    pt_src = SimputPhotonList.from_models("thermal_model_nei",
                                          spec_nei,
                                          pt_src_pos,
                                          exp_time,
                                          area,
                                          prng=prng)
    sim_cat = SimputCatalog.from_source("thermal_model_nei_simput.fits",
                                        pt_src,
                                        overwrite=True)

    instrument_simulator("thermal_model_nei_simput.fits",
                         "thermal_model_nei_evt.fits",
                         exp_time,
                         inst_name, [30.0, 45.0],
                         ptsrc_bkgnd=False,
                         foreground=False,
                         instr_bkgnd=False,
                         prng=prng)

    write_spectrum("thermal_model_nei_evt.fits",
                   "thermal_model_nei_evt.pha",
                   overwrite=True)

    file_answer_testing("EVENTS", "thermal_model_nei_evt.fits", answer_store,
                        answer_dir)
    file_answer_testing("SPECTRUM", "thermal_model_nei_evt.pha", answer_store,
                        answer_dir)

    os.chdir(curdir)
    shutil.rmtree(tmpdir)
Beispiel #13
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def test_nolines_thermal_from_spectrum(answer_store, answer_dir):

    prng = RandomState(101)

    tmpdir = tempfile.mkdtemp()
    curdir = os.getcwd()
    os.chdir(tmpdir)

    inst = get_instrument_from_registry(inst_name)

    simulate_spectrum(spec_nolines,
                      inst["name"],
                      exp_time,
                      "nolines_thermal_model_evt.pha",
                      prng=prng)

    file_answer_testing("SPECTRUM", "nolines_thermal_model_evt.pha",
                        answer_store, answer_dir)

    os.chdir(curdir)
    shutil.rmtree(tmpdir)
Beispiel #14
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def plaw_fit(alpha_sim, answer_store, answer_dir):

    tmpdir = tempfile.mkdtemp()
    curdir = os.getcwd()
    os.chdir(tmpdir)

    nH_sim = 0.02
    norm_sim = 1.0e-4
    redshift = 0.01

    exp_time = (50.0, "ks")
    area = 40000.0
    inst_name = "new_hdxi"

    spec = Spectrum.from_powerlaw(alpha_sim, redshift, norm_sim, 0.1, 10.0, 20000)
    spec.apply_foreground_absorption(nH_sim, model="tbabs")

    spectrum_answer_testing(spec, "power_law_%s.h5" % alpha_sim, answer_store, 
                            answer_dir)

    pt_src_pos = PointSourceModel(30.0, 45.0)
    sim_cat = SimputCatalog.from_models("plaw_model", "plaw_model", spec, pt_src_pos,
                                        exp_time, area, prng=prng)
    sim_cat.write_catalog(overwrite=True)

    instrument_simulator("plaw_model_simput.fits", "plaw_model_%s_evt.fits" % alpha_sim,
                         exp_time, inst_name, [30.0, 45.0], instr_bkgnd=False,
                         ptsrc_bkgnd=False, foreground=False, prng=prng)

    write_spectrum("plaw_model_%s_evt.fits" % alpha_sim,
                   "plaw_model_%s_evt.pha" % alpha_sim,
                   overwrite=True)

    file_answer_testing("EVENTS", "plaw_model_%s_evt.fits" % alpha_sim,
                        answer_store, answer_dir)
    file_answer_testing("SPECTRUM", "plaw_model_%s_evt.pha" % alpha_sim,
                        answer_store, answer_dir)

    os.chdir(curdir)
    shutil.rmtree(tmpdir)