Update quantum code from matgwinc, and vectorize

See merge request !32

Christopher Wipf authored 6 years ago and Lee McCuller committed 6 years ago

The matgwinc updates include a new shotradSignalRecycled(), and minor
corrections to the previous code, which is still available as
shotradSignalRecycledBnC().

shotradSignalRecycled() has been vectorized for good performance,
with its two TF inversions pre-computed by sympy.

Speed up quad sus tf calculation 10x, by pre-solving the system symbolically

See merge request !31

made setup non zip-safe so that data files may be located

Closes #21

See merge request !33

Resolve "Newtonian.py: Overflow protection needed"

Closes #22

See merge request !30

moved fixes to sus in aLIGO.yaml to A+.yaml to fix sus noise curve

See merge request !24

modified quantum to ready for QN2mode

See merge request !22

This really doesn't need to be a part of precompIFO

matplotlib: use hex color names instead of the cool xkcd ones
When matplotlib >= 2.0 is ubiquitous, we can revert this.
numpy: use np.flipud in place of np.flip
np.flip only exists in numpy >= 1.12, and flipud is clearer anyway.

(addresses #23)

Suspension type BQuad changes the bottom stage material to silicon.
Reverse the SUS stage list in suspensionthermal.py to use the appropriate Temp.
Addresses #23

This is a port of the changes added to matgwinc in
gwinc/matgwinc@a83e5053b64e6e8d3176f8fc29df631972fec451

The new pygwinc quantum curve diverges slightly from the matgwinc
version at the highest frequencies, for reasons that are not clear
to me...

e.g. ifo['Sub.Element']

newtonian noise calculation was fixed in both py and mat gwinc, so
update matgwinc calculation cache in tests.

this was just a typo