Note
Click here to download the full example code
Shell spatial model#
This is a spatial model parametrizing a projected radiating shell.
The shell spatial model is defined by the following equations:
\[\begin{split}\phi(lon, lat) = \frac{3}{2 \pi (r_{out}^3 - r_{in}^3)} \cdot
\begin{cases}
\sqrt{r_{out}^2 - \theta^2} - \sqrt{r_{in}^2 - \theta^2} &
\text{for } \theta \lt r_{in} \\
\sqrt{r_{out}^2 - \theta^2} &
\text{for } r_{in} \leq \theta \lt r_{out} \\
0 & \text{for } \theta > r_{out}
\end{cases}\end{split}\]
where \(\theta\) is the sky separation and \(r_{\text{out}} = r_{\text{in}}\) + width
Note that the normalization is a small angle approximation, although that approximation is still very good even for 10 deg radius shells.
Example plot#
Here is an example plot of the model:
from gammapy.modeling.models import (
Models,
PowerLawSpectralModel,
ShellSpatialModel,
SkyModel,
)
model = ShellSpatialModel(
lon_0="10 deg",
lat_0="20 deg",
radius="2 deg",
width="0.5 deg",
frame="galactic",
)
model.plot(add_cbar=True)
YAML representation#
Here is an example YAML file using the model:
pwl = PowerLawSpectralModel()
shell = ShellSpatialModel()
model = SkyModel(spectral_model=pwl, spatial_model=shell, name="pwl-shell-model")
models = Models([model])
print(models.to_yaml())
Out:
components:
- name: pwl-shell-model
type: SkyModel
spectral:
type: PowerLawSpectralModel
parameters:
- name: index
value: 2.0
is_norm: false
- name: amplitude
value: 1.0e-12
unit: cm-2 s-1 TeV-1
is_norm: true
- name: reference
value: 1.0
unit: TeV
frozen: true
is_norm: false
spatial:
type: ShellSpatialModel
frame: icrs
parameters:
- name: lon_0
value: 0.0
unit: deg
is_norm: false
- name: lat_0
value: 0.0
unit: deg
is_norm: false
- name: radius
value: 1.0
unit: deg
is_norm: false
- name: width
value: 0.2
unit: deg
is_norm: false