# Licensed under a 3-clause BSD style license - see LICENSE.rst
import numpy as np
import astropy.units as u
from astropy.table import Table
from gammapy.maps import MapAxis, RegionGeom
from gammapy.modeling.models import Model, Models, SkyModel
from gammapy.utils.gauss import Gauss2DPDF
from gammapy.utils.scripts import make_path
from .core import SourceCatalog, SourceCatalogObject
__all__ = [
"SourceCatalogObject1LHAASO",
"SourceCatalog1LHAASO",
]
[docs]
class SourceCatalogObject1LHAASO(SourceCatalogObject):
"""One source from the 1LHAASO catalog.
Catalog is represented by `~gammapy.catalog.SourceCatalog1LHAASO`.
"""
_source_name_key = "Source_Name"
def _parse(self, name, which):
if which in self.data["Model_a"]:
tag = ""
elif which in self.data["Model_b"]:
tag = "_b"
else:
raise ValueError("Invalid model component name")
is_ul = False
value = u.Quantity(self.data[f"{name}{tag}"])
if (
np.isnan(value) or value == 0 * value.unit
) and f"{name}_ul{tag}" in self.data:
value = self.data[f"{name}_ul{tag}"]
is_ul = True
return value, is_ul
def _get(self, name, which):
value, _ = self._parse(name, which)
return value
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def spectral_model(self, which):
"""Spectral model as a `~gammapy.modeling.models.PowerLawSpectralModel` object.
* ``which="KM2A"`` - Sky model for KM2A analysis only.
* ``which="WCDA"`` - Sky model for WCDA analysis only.
"""
pars = {
"reference": self._get("E0", which),
"amplitude": self._get("N0", which),
"index": self._get("gamma", which),
}
errs = {
"amplitude": self._get("N0_err", which),
"index": self._get("gamma_err", which),
}
model = Model.create("PowerLawSpectralModel", "spectral", **pars)
for name, value in errs.items():
model.parameters[name].error = value
return model
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def spatial_model(self, which):
"""Spatial model as a `~gammapy.modeling.models.SpatialModel` object.
* ``which="KM2A"`` - Sky model for KM2A analysis only.
* ``which="WCDA"`` - Sky model for WCDA analysis only.
"""
lat_0 = self._get("DECJ2000", which)
pars = {"lon_0": self._get("RAJ2000", which), "lat_0": lat_0, "frame": "fk5"}
pos_err = self._get("pos_err", which)
scale_r95 = Gauss2DPDF().containment_radius(0.95)
errs = {
"lat_0": pos_err / scale_r95,
"lon_0": pos_err / scale_r95 / np.cos(lat_0),
}
r39, is_ul = self._parse("r39", which)
if not is_ul:
pars["sigma"] = r39
model = Model.create("GaussianSpatialModel", "spatial", **pars)
else:
model = Model.create("PointSpatialModel", "spatial", **pars)
for name, value in errs.items():
model.parameters[name].error = value
return model
@staticmethod
def _get_components_geom(models):
energy_axis = MapAxis.from_energy_bounds(
"0.1 TeV", "2000 TeV", nbin=10, per_decade=True, name="energy"
)
regions = [m.spatial_model.evaluation_region for m in models]
geom = RegionGeom.from_regions(
regions, binsz_wcs="0.05 deg", axes=[energy_axis]
)
return geom.to_wcs_geom()
[docs]
def sky_model(self, which="both"):
"""Sky model as a `~gammapy.modeling.models.SkyModel` object.
* ``which="both"`` - Create a composite template if both models are available, or, use the available one
if only one is present.
* ``which="KM2A"`` - Sky model for KM2A analysis if available.
* ``which="WCDA"`` - Sky model for WCDA analysis if available.
"""
if which == "both":
wcda = self.sky_model(which="WCDA")
km2a = self.sky_model(which="KM2A")
models = [m for m in [wcda, km2a] if m is not None]
if len(models) == 2:
geom = self._get_components_geom(models)
mask = geom.energy_mask(energy_max=25 * u.TeV)
geom = geom.as_energy_true
wcda_map = Models(wcda).to_template_sky_model(geom).spatial_model.map
model = Models(km2a).to_template_sky_model(geom, name=km2a.name)
model.spatial_model.map.data[mask] = wcda_map.data[mask]
model.spatial_model.filename = f"{model.name}.fits"
return model
else:
return models[0]
else:
_, is_ul = self._parse("N0", which)
if is_ul:
return None
else:
return SkyModel(
spatial_model=self.spatial_model(which),
spectral_model=self.spectral_model(which),
name=self.name,
)
[docs]
class SourceCatalog1LHAASO(SourceCatalog):
"""First LHAASO catalog.
One source is represented by `~gammapy.catalog.SourceCatalogObject1LHAASO`.
The data is from table 1 in the paper [1]_.
The catalog table contains 90 rows / sources.
References
----------
.. [1] 1LHAASO: The First LHAASO Catalog of Gamma-Ray Sources,
https://ui.adsabs.harvard.edu/abs/2023arXiv230517030C/abstract
"""
tag = "1LHAASO"
"""Catalog name"""
description = "1LHAASO catalog from the LHAASO observatory"
"""Catalog description"""
source_object_class = SourceCatalogObject1LHAASO
def __init__(self, filename="$GAMMAPY_DATA/catalogs/1LHAASO_catalog.fits"):
table = Table.read(make_path(filename))
source_name_key = "Source_Name"
super().__init__(table=table, source_name_key=source_name_key)
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def to_models(self, which="both"):
"""Create Models object from catalog.
* ``which="both"`` - Use first model or create a composite template if both models are available.
* ``which="KM2A"`` - Sky model for KM2A analysis if available.
* ``which="WCDA"`` - Sky model for WCDA analysis if available.
"""
models = Models()
for _ in self:
model = _.sky_model(which)
if model:
models.append(model)
return models