Stellar activity#

The activity common object stores hyperparameters that are shared by stellar-activity models. A model can still decide that some of these quantities are dataset-specific; for example, the rotation period and decay timescale are usually shared, while the covariance amplitude is often fitted independently for each dataset.

Note

The activity common object only defines the available parameters, boundaries, priors, spaces, and fixed values. The model listed in the models section decides which parameters are used and whether they are common to all datasets or local to one dataset.

Model definition#

  • common object name: activity

  • default common object for most Gaussian-process models of stellar activity

Shared stellar parameters#

Several activity models can take the stellar rotation period or the activity decay timescale from the star_parameters common object instead of from activity.

use_stellar_rotation_period

  • accepted values: True | False

  • replaces Prot with rotation_period from the star_parameters common object.

use_stellar_activity_decay

  • accepted values: True | False

  • replaces Pdec with activity_decay from the star_parameters common object.

The same flags can be activated either in the activity common object or in the individual model definition. See the simultaneous photometry and spectroscopy GP example for a complete configuration.

Example#

 1common:
 2  activity:
 3    boundaries:
 4      Prot: [10.0, 20.0]
 5      Pdec: [20.0, 1000.0]
 6      Oamp: [0.001, 1.0]
 7    priors:
 8      Prot: ['Gaussian', 14.0, 0.5]
 9  star:
10    star_parameters:
11      boundaries:
12        rotation_period: [10.0, 20.0]
13        activity_decay: [20.0, 1000.0]

Parameters#

Only the parameters required by the selected models have to be defined in the YAML file.

Name

Parameter

Typical use

Prot

Stellar rotation period

Quasi-periodic, rotation, and multidimensional activity kernels

Pdec

Decay timescale of active regions

Quasi-periodic and exponential-sine periodic kernels

Pcyc

Long-timescale cycle or squared-exponential timescale

Quasi-periodic plus squared-exponential kernels

Oamp

Coherence scale of the periodic component

Quasi-periodic and exponential-sine periodic kernels

Hamp

Covariance amplitude

Dataset-specific amplitude in trained GP models

Camp

Secondary covariance amplitude

Cosine, derivative, or cycle component depending on the model

rot_sigma

Amplitude of a celerite2 rotation term

celerite2 rotation kernels

rot_Q0

Base quality factor of the celerite2 rotation term

celerite2 rotation kernels

rot_deltaQ

Difference between the rotation-mode quality factors

celerite2 rotation kernels

rot_fmix

Fractional amplitude of the secondary rotation mode

celerite2 rotation kernels

grn_period

Granulation SHO timescale

celerite2 granulation plus rotation

grn_sigma

Granulation SHO amplitude

celerite2 granulation plus rotation

grn_k*_period

Timescale of the k-th granulation SHO term

configurable celerite2 granulation/oscillation/rotation

grn_k*_sigma

Amplitude of the k-th granulation SHO term

configurable celerite2 granulation/oscillation/rotation

osc_k*_period

Timescale of the k-th oscillation SHO term

configurable celerite2 granulation/oscillation/rotation

osc_k*_sigma

Amplitude of the k-th oscillation SHO term

configurable celerite2 granulation/oscillation/rotation

osc_k*_Q0

Quality factor of the k-th oscillation SHO term

configurable celerite2 granulation/oscillation/rotation

sho_scale

SHO undamped period, or rho

SHO kernels

sho_decay

SHO damping timescale, or tau

SHO kernels

sho_sigma

SHO process amplitude

SHO kernels

matern32_scale

Matern-3/2 scale, also accepted as matern32_rho in some models

Matern-3/2 kernels

matern32_sigma

Matern-3/2 covariance amplitude

Single-output Matern-3/2 kernels

rot_amp

Coefficient of the derivative component of a latent GP

Multidimensional GP models

con_amp

Coefficient of the latent GP itself

Multidimensional GP models

cos_amp

Coefficient of the cosine latent component

Multidimensional quasi-periodic plus cosine kernel

cos_der

Coefficient of the derivative of the cosine component

Multidimensional quasi-periodic plus cosine kernel

cyc_amp

Coefficient of the squared-exponential cycle component

Multidimensional quasi-periodic plus squared-exponential kernels

cyc_der

Coefficient of the derivative of the squared-exponential cycle component

Multidimensional quasi-periodic plus squared-exponential kernel

matern32_multigp_sigma

Coefficient of the Matern-3/2 latent GP

Multidimensional Matern-3/2 kernel

matern32_multigp_sigma_deriv

Coefficient of the derivative of the Matern-3/2 latent GP

Multidimensional Matern-3/2 kernel

Vc, Vr, Lc, Bc, Br

Original Rajpaul-framework coefficients

Legacy gp_framework_quasiperiodic model