Constraint

class astroplan.Constraint

Bases: object

Abstract class for objects defining observational constraints.

Methods Summary

__call__(observer, targets[, times, …])	Compute the constraint for this class
compute_constraint(times, observer, targets)	Actually do the real work of computing the constraint.

Methods Documentation

__call__(observer, targets, times=None, time_range=None, time_grid_resolution=<Quantity 0.5 h>, grid_times_targets=False)

Compute the constraint for this class

Parameters:

observer : Observer

the observation location from which to apply the constraints

targets : sequence of Target

The targets on which to apply the constraints.

times : Time

The times to compute the constraint. WHAT HAPPENS WHEN BOTH TIMES AND TIME_RANGE ARE SET?

time_range : Time (length = 2)

Lower and upper bounds on time sequence.

time_grid_resolution : quantity

Time-grid spacing

grid_times_targets : bool

if True, grids the constraint result with targets along the first index and times along the second. Otherwise, we rely on broadcasting the shapes together using standard numpy rules.

Returns

——-

constraint_result : 1D or 2D array of float or bool

The constraints. If 2D with targets along the first index and times along the second.

compute_constraint(times, observer, targets)

Actually do the real work of computing the constraint. Subclasses override this.

Parameters:

times : Time

The times to compute the constraint

observer : Observer

the observaton location from which to apply the constraints

targets : sequence of Target

The targets on which to apply the constraints.

Returns:

constraint_result : 2D array of float or bool

The constraints, with targets along the first index and times along the second.