CCompositePotential

class gala.potential.CCompositePotential

Bases: gala.potential.CPotentialBase, gala.potential.CompositePotential

Attributes Summary

parameters
units

Methods Summary

__call__(q)
acceleration(q[, t]) Compute the acceleration due to the potential at the given position(s).
clear(() -> None.  Remove all items from od.)
copy(() -> a shallow copy of od)
density(q[, t]) Compute the density value at the given position(s).
fromkeys((S[, ...) If not specified, the value defaults to None.
get((k[,d]) -> D[k] if k in D, ...)
gradient(q[, t]) Compute the gradient of the potential at the given position(s).
has_key((k) -> True if D has a key k, else False)
hessian(q[, t]) Compute the Hessian of the potential at the given position(s).
integrate_orbit(w0[, Integrator, ...]) Integrate an orbit in the current potential using the integrator class provided.
items(() -> list of (key, value) pairs in od)
iteritems() od.iteritems -> an iterator over the (key, value) pairs in od
iterkeys(() -> an iterator over the keys in od)
itervalues() od.itervalues -> an iterator over the values in od
keys(() -> list of keys in od)
mass_enclosed(q, t) Estimate the mass enclosed within the given position by assuming the potential is spherical.
plot_contours(grid[, ax, labels, subplots_kw]) Plot equipotentials contours.
plot_densty_contours(grid[, ax, labels, ...]) Plot density contours.
pop((k[,d]) -> v, ...) value. If key is not found, d is returned if given, otherwise KeyError
popitem(() -> (k, v), ...) Pairs are returned in LIFO order if last is true or FIFO order if false.
save(f) Save the potential to a text file.
setdefault((k[,d]) -> od.get(k,d), ...)
total_energy(x, v) Compute the total energy (per unit mass) of a point in phase-space in this potential.
update(([E, ...) If E present and has a .keys() method, does: for k in E: D[k] = E[k]
value(q[, t]) Compute the value of the potential at the given position(s).
values(() -> list of values in od)
viewitems(...)
viewkeys(...)
viewvalues(...)

Attributes Documentation

parameters
units

Methods Documentation

__call__(q)
acceleration(q, t=0.0)

Compute the acceleration due to the potential at the given position(s).

Parameters:

q : array_like, numeric

Position to compute the acceleration at.

Returns:

acc : ndarray

The acceleration. Will have the same shape as the input position array, q.

clear() → None. Remove all items from od.
copy() → a shallow copy of od
density(q, t=0.0)

Compute the density value at the given position(s).

Parameters:

q : Quantity, array_like

The position to compute the value of the potential. If the input position object has no units (i.e. is an ndarray), it is assumed to be in the same unit system as the potential.

Returns:

dens : Quantity

The potential energy or value of the potential. If the input position has shape q.shape, the output energy will have shape q.shape[1:].

fromkeys(S[, v]) → New ordered dictionary with keys from S.

If not specified, the value defaults to None.

get(k[, d]) → D[k] if k in D, else d. d defaults to None.
gradient(q, t=0.0)

Compute the gradient of the potential at the given position(s).

Parameters:

q : Quantity, array_like

The position to compute the value of the potential. If the input position object has no units (i.e. is an ndarray), it is assumed to be in the same unit system as the potential.

Returns:

grad : Quantity

The gradient of the potential. Will have the same shape as the input position array, q.

has_key(k) → True if D has a key k, else False
hessian(q, t=0.0)

Compute the Hessian of the potential at the given position(s).

Parameters:

q : Quantity, array_like

The position to compute the value of the potential. If the input position object has no units (i.e. is an ndarray), it is assumed to be in the same unit system as the potential.

Returns:

hess : Quantity

TODO:

integrate_orbit(w0, Integrator=<class 'gala.integrate.pyintegrators.leapfrog.LeapfrogIntegrator'>, Integrator_kwargs={}, cython_if_possible=True, **time_spec)

Integrate an orbit in the current potential using the integrator class provided. Uses same time specification as Integrator.run() – see the documentation for gala.integrate for more information.

Parameters:

w0 : PhaseSpacePosition, array_like

Initial conditions.

Integrator : Integrator (optional)

Integrator class to use.

Integrator_kwargs : dict (optional)

Any extra keyword argumets to pass to the integrator class when initializing. Only works in non-Cython mode.

cython_if_possible : bool (optional)

If there is a Cython version of the integrator implemented, and the potential object has a C instance, using Cython will be much faster.

**time_spec

Specification of how long to integrate. See documentation for parse_time_specification.

Returns:

orbit : CartesianOrbit

items() → list of (key, value) pairs in od
iteritems()

od.iteritems -> an iterator over the (key, value) pairs in od

iterkeys() → an iterator over the keys in od
itervalues()

od.itervalues -> an iterator over the values in od

keys() → list of keys in od
mass_enclosed(q, t)

Estimate the mass enclosed within the given position by assuming the potential is spherical. This is not so good!

Parameters:

q : array_like, numeric

Position to compute the mass enclosed.

plot_contours(grid, ax=None, labels=None, subplots_kw={}, **kwargs)

Plot equipotentials contours. Computes the potential value on a grid (specified by the array grid).

Warning

Right now the grid input must be arrays and must already be in the unit system of the potential. Quantity support is coming...

Parameters:

grid : tuple

Coordinate grids or slice value for each dimension. Should be a tuple of 1D arrays or numbers.

ax : matplotlib.Axes (optional)

labels : iterable (optional)

List of axis labels.

subplots_kw : dict

kwargs passed to matplotlib’s subplots() function if an axes object is not specified.

kwargs : dict

kwargs passed to either contourf() or plot().

Returns:

fig : Figure

plot_densty_contours(grid, ax=None, labels=None, subplots_kw={}, **kwargs)

Plot density contours. Computes the density on a grid (specified by the array grid).

Warning

Right now the grid input must be arrays and must already be in the unit system of the potential. Quantity support is coming...

Parameters:

grid : tuple

Coordinate grids or slice value for each dimension. Should be a tuple of 1D arrays or numbers.

ax : matplotlib.Axes (optional)

labels : iterable (optional)

List of axis labels.

subplots_kw : dict

kwargs passed to matplotlib’s subplots() function if an axes object is not specified.

kwargs : dict

kwargs passed to either contourf() or plot().

Returns:

fig : Figure

pop(k[, d]) → v, remove specified key and return the corresponding

value. If key is not found, d is returned if given, otherwise KeyError is raised.

popitem() → (k, v), return and remove a (key, value) pair.

Pairs are returned in LIFO order if last is true or FIFO order if false.

save(f)

Save the potential to a text file. See save() for more information.

Parameters:

f : str, file_like

A filename or file-like object to write the input potential object to.

setdefault(k[, d]) → od.get(k,d), also set od[k]=d if k not in od
total_energy(x, v)

Compute the total energy (per unit mass) of a point in phase-space in this potential. Assumes the last axis of the input position / velocity is the dimension axis, e.g., for 100 points in 3-space, the arrays should have shape (100,3).

Parameters:

x : array_like, numeric

Position.

v : array_like, numeric

Velocity.

update([E, ]**F) → None. Update D from mapping/iterable E and F.

If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v

value(q, t=0.0)

Compute the value of the potential at the given position(s).

Parameters:

q : Quantity, array_like

The position to compute the value of the potential. If the input position object has no units (i.e. is an ndarray), it is assumed to be in the same unit system as the potential.

Returns:

E : Quantity

The potential energy per unit mass or value of the potential. If the input position has shape q.shape, the output energy will have shape q.shape[1:].

values() → list of values in od
viewitems() → a set-like object providing a view on od's items
viewkeys() → a set-like object providing a view on od's keys
viewvalues() → an object providing a view on od's values