Support telescope position from EarthLocations for SubarrayDescription#2424
Support telescope position from EarthLocations for SubarrayDescription#2424
EarthLocations for SubarrayDescription#2424Conversation
StFroese
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Ignore the test for now, I'll write a new one as a regression test... |
| tel_positions : Dict[int, np.ndarray] | ||
| dict of x,y,z telescope positions on the ground by tel_id. These are | ||
| tel_positions : Dict[int, Union[np.ndarray, EarthLocation]] | ||
| dict of x,y,z telescope positions on the ground by tel_id or EarthLocation. These are |
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by tel_id or EarthLocation sounds like EarthLocation could be the key of the dictionary, not another format for the value.
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True, better with something like
dict of telescope positions by tel_id, given as x,y,z position or EarthLocation.
| """ | ||
| self.name = name | ||
| self.positions = tel_positions or dict() | ||
| self.positions: Dict[int, Union[np.ndarray, EarthLocation]] = ( |
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We shouldn't use mixed types for internal storage. We should accept EarthLocation or GroundFrame coordinates for the inputs, but then convert in __init__ to one common format.
I think for now, that should be the previous, so ground frame coordinas.
| pos_x = [p[0].to_value(u.m) for p in self.positions.values()] | ||
| pos_y = [p[1].to_value(u.m) for p in self.positions.values()] | ||
| pos_z = [p[2].to_value(u.m) for p in self.positions.values()] | ||
| positions = self.positions.values() |
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See above, internal representation should not be mixed.
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fixes #2162