Note
Click here to download the full example code or to run this example in your browser via Binder
Phase curve temporal model#
This model parametrises a PhaseCurve time model, i.e. with a template phasogram and timing parameters
import astropy.units as u
from astropy.time import Time
from gammapy.modeling.models import (
Models,
PowerLawSpectralModel,
SkyModel,
TemplatePhaseCurveTemporalModel,
)
path = "$GAMMAPY_DATA/tests/phasecurve_LSI_DC.fits"
t_ref = 43366.275 * u.d
f0 = 1.0 / (26.7 * u.d)
phase_model = TemplatePhaseCurveTemporalModel.read(path, t_ref, 0.0, f0)
time_range = [Time("59100", format="mjd"), Time("59200", format="mjd")]
phase_model.plot(time_range, n_points=400)
<AxesSubplot: xlabel='Time [iso]', ylabel='Norm / A.U.'>
YAML representation#
Here is an example YAML file using the model:
model = SkyModel(
spectral_model=PowerLawSpectralModel(),
temporal_model=phase_model,
name="phase_curve_model",
)
models = Models([model])
print(models.to_yaml())
components:
- name: phase_curve_model
type: SkyModel
spectral:
type: PowerLawSpectralModel
parameters:
- name: index
value: 2.0
- name: amplitude
value: 1.0e-12
unit: cm-2 s-1 TeV-1
- name: reference
value: 1.0
unit: TeV
temporal:
type: TemplatePhaseCurveTemporalModel
parameters:
- name: t_ref
value: 43366.275
unit: d
- name: phi_ref
value: 0.0
- name: f0
value: 0.03745318352059925
unit: d-1
- name: f1
value: 0.0
unit: s-2
- name: f2
value: 0.0
unit: s-3
filename: /home/runner/work/gammapy-docs/gammapy-docs/gammapy-datasets/1.0/tests/phasecurve_LSI_DC.fits