Baselines#

class pyvisgen.simulation.Baselines(st1: Tensor, st2: Tensor, u: Tensor, v: Tensor, w: Tensor, valid: Tensor, time: Tensor, q1: Tensor, q2: Tensor, el1: Tensor, el2: Tensor)[source]#

Bases: object

The Baselines dataclass comprises of data on station combinations, the u, v, and w coverage, validity of the measured data points (i.e. whether the source is visible for the antenna pairs, or not), observation time and parallactic angles for each baseline pair.

Attributes:

st1Tensor(): Station IDs for antenna pairs.
st2Tensor(): Station IDs for antenna pairs.
uTensor(): u coordinate coverage.
vTensor(): v coordinate coverage.
wTensor(): w coordinate coverage.
validTensor(): Mask of valid values, i.e. where the source is visible to the antenna pairs.
timeTensor(): Tensor of observation time steps.
q1Tensor(): Tensor of parallactic angle values.
q2Tensor(): Tensor of parallactic angle values.
el1Tensor(): Tensor of elevations for ant 1
el2Tensor(): Tensor of elevations for ant 2

Attributes Summary

`el1`
`el2`
`q1`
`q2`
`st1`
`st2`
`time`
`u`
`v`
`valid`
`w`

Methods Summary

`add_baseline`(baselines)	Adds a new baseline to the dataclass object.
`get_valid_subset`(num_baselines, device)	Returns a valid subset of the baselines using the information stored in the `valid` field.

Attributes Documentation

el1: Tensor = <dataclasses._MISSING_TYPE object>#

el2: Tensor = <dataclasses._MISSING_TYPE object>#

q1: Tensor = <dataclasses._MISSING_TYPE object>#

q2: Tensor = <dataclasses._MISSING_TYPE object>#

st1: Tensor = <dataclasses._MISSING_TYPE object>#

st2: Tensor = <dataclasses._MISSING_TYPE object>#

time: Tensor = <dataclasses._MISSING_TYPE object>#

u: Tensor = <dataclasses._MISSING_TYPE object>#

v: Tensor = <dataclasses._MISSING_TYPE object>#

valid: Tensor = <dataclasses._MISSING_TYPE object>#

w: Tensor = <dataclasses._MISSING_TYPE object>#

Methods Documentation

add_baseline(baselines) → None[source]#

Adds a new baseline to the dataclass object.

Parameters:

baselinesBaselines: Baselines dataclass object that is added to the fields of this dataclass.

get_valid_subset(num_baselines: int, device: str)[source]#

Returns a valid subset of the baselines using the information stored in the valid field.

Parameters:

num_baselinesint: Number of baselines used in the observation.
devicestr: Name of the device to run the operation on, e.g. 'cuda' or 'cpu'.

Returns:

ValidBaselineSubset: ValidBaselineSubset dataclass object containing valid u, v, and w coverage, observation time steps, numbers of baselines, and parallactic angles.