Skeleton

class synthesizAR.Skeleton(loops)

Bases: object

Construct magnetic field skeleton fieldlines

Parameters:

loops (list) – List of Loop objects

Examples

>>> import synthesizAR
>>> import astropy.units as u
>>> loop = synthesizAR.Loop('loop', SkyCoord(x=[1,4]*u.Mm, y=[2,5]*u.Mm, z=[3,6]*u.Mm,frame='heliographic_stonyhurst', representation_type='cartesian'), [1e2,1e3] * u.G)
>>> field = synthesizAR.Skeleton([loop,])

Attributes Summary

all_coordinates	Coordinates for all loops in the skeleton.
all_coordinates_centers	Coordinates for all grid cell centers of all loops in the skeleton
all_cross_sectional_areas	Cross-sectional areas for all loops concatenated together.
all_widths	Widths for all loops concatenated together

Methods Summary

configure_loop_simulations(interface, **kwargs)	Configure hydrodynamic simulations for each loop object
from_asdf(filename)	Restore a Skeleton instance from an ASDF file
from_coordinates(coordinates[, field_strengths])	Construct Skeleton from list of coordinates and field strengths
load_ionization_fractions(emission_model[, ...])	Load the ionization fractions for each ion in the emission model.
load_loop_simulations(interface[, filename])	Load in loop parameters from hydrodynamic results.
peek(**kwargs)	Plot loop coordinates on the solar disk.
refine_loop(loop, delta_s, **kwargs)
refine_loops(delta_s, **kwargs)	Interpolate loop coordinates and field strengths to a specified spatial resolution and return a new Skeleton object.
to_asdf(filename)	Serialize this instance of Skeleton to an ASDF file

Attributes Documentation

all_coordinates

Coordinates for all loops in the skeleton.

Note

This should be treated as a collection of points and NOT a continuous structure.

all_coordinates_centers

Coordinates for all grid cell centers of all loops in the skeleton

Note

This should be treated as a collection of points and NOT a continuous structure.

all_cross_sectional_areas

Cross-sectional areas for all loops concatenated together.

Note

These are the cross-sectional areas evaluated at the center of the loop.

all_widths

Widths for all loops concatenated together

Methods Documentation

configure_loop_simulations(interface, **kwargs)

Configure hydrodynamic simulations for each loop object

classmethod from_asdf(filename)

Restore a Skeleton instance from an ASDF file

Examples

>>> import synthesizAR
>>> restored_field = synthesizAR.Skeleton.from_asdf('/path/to/skeleton.asdf') 

classmethod from_coordinates(coordinates, field_strengths=None, **kwargs)

Construct Skeleton from list of coordinates and field strengths

Parameters:

• coordinates (list) – List of SkyCoord loop coordinates

• field_strengths (list) – List of Quantity scalar magnetic field strength along the loop

load_ionization_fractions(emission_model, interface=None, **kwargs)

Load the ionization fractions for each ion in the emission model.

Parameters:

• emission_model (synthesizAR.atomic.EmissionModel) –

• interface (optional) – A model interface. Only necessary if loading the ionization fractions from the model

• fraction (If the model interface provides a method for loading the population) –

• model (from the) –

• Otherwise (use that to get the population fractions.) –

• compute –

• after (the ion population fractions in equilibrium. This should be done) –

• load_loop_simulations. (calling) –

load_loop_simulations(interface, filename=None, **kwargs)

Load in loop parameters from hydrodynamic results.

peek(**kwargs)

Plot loop coordinates on the solar disk.

See also

synthesizAR.visualize.plot_fieldlines

static refine_loop(loop, delta_s: Unit('cm'), **kwargs)

refine_loops(delta_s: Unit('cm'), **kwargs)

Interpolate loop coordinates and field strengths to a specified spatial resolution and return a new Skeleton object.

This can be important in order to ensure that an adequate number of points are used to represent each fieldline when binning intensities onto the instrument grid.

to_asdf(filename)

Serialize this instance of Skeleton to an ASDF file