Constrain the search for partial eclipse semiduration to
within what we already found for the penumbral eclipse.
Same for total/partial. This is a very small improvement because
narrowing the search window does not improve quadratic interpolation
very much. But it is an extremely cheap and safe optimization.
It turns out that searching plus or minus 0.03 days around the
full moon is ample for finding minimum shadow distance.
This reduces CalcMoon() call count from 127155 to 112827.
Performance ratio with original algorithm = 5.13.
When the full moon's ecliptic latitude is larger than 1.8 degrees,
even a penumbral eclipse is not possible. Thus there is no need
to search for the minimum shadow distance in that case.
This decreased unit test CalcMoon() count to 127155.
Improvement ratio over original algorithm = 4.55.
Greatly reduced the number of CalcMoon() calls needed to find
the time of the minimum shadow distance, when searching for a lunar eclipse.
Use Astronomy_Search() instead of dumb search.
Added undocumented global variable for counting how manyh times CalcMoon()
is called.
The call count went from 578569 down to 207186 (ratio = 2.79).
Execution time likewise decreased from 2.9 seconds to 1.1.
I'm in the process of replacing how Astronomy Engine calculates
Delta T. Instead of a series of line segments based on canned data,
I'm switching over to use the Espenak/Meeus piecewise polynomials.
Also allowing the user to change the Delta T function to match
an external reference. I will use this in the unit tests that
reference JPL Horizons data, so that I can greatly tighten the
test tolerances.
I had to increase certain error tolerances in the unit tests.
Reworked the unit tests to make more sense by waiting until
each language step is done to check against each other.
That way I can run a single language step independently.
Using some trial and error, I found that using 85 km instead of 65.4 km
for the thickness of the Earth's atmosphere results in better overall
fit with the test data.
Increase type safety by making the enumerated type Body
derive from Enum rather than IntEnum, as recommended by
https://www.python.org/dev/peps/pep-0435/
Fixed places where I was treating Body values as integers.
Now when a Time object is evaluated and represented in
the Python interpreter, it results in a string of the form:
astronomy.Time(ut)
where ut is the numeric representation of the ut field.
This mimics the exact way such a Time value could be constructed.
That is, eval(repr(t)) results in a time value equal to t.
It turns out I was off by nearly 18 hours in the B1875 epoch.
This has a tiny effect on the orientation of the Earth's axis.
Instead of: ut = 1875-01-01T12:00:00.000Z
the correct epoch is: ut = 1874-12-31T18:12.21.950Z
See the comments in the Constellation functions in
each of the source files for more info.
Changed the units of the angles stored in the constellation
borders data so that the numbers can be represented more compactly.
This requires converting the numbers back at runtime, but this is
well worth the smaller size.
Instead of using decimal hours/degrees rounded to 4 decimal places,
I went back to the original constel.c and modified it to represent
both RA and DEC in degrees, and to round all values to the nearest
quarter arcminute. This seems closer to the original intent of the
constellation boundaries.
I'm using the HYG star database v3 from:
https://github.com/astronexus/HYG-Database
I compare the star constellations it reports against
what I calculate from the star RA/DEC it lists.
When I try this against all stars in the database, I
find 25 disagreements about which constellation contains
the star. Another person found 3 disagreements. See:
https://github.com/astronexus/HYG-Database/issues/21
For now, I'm testing only the stars brighter than mag 4.890,
which eliminates all the disagreements, and still gets me
over 1000 test cases.
Also, now I'm verifying ephemeris file and star database
checksums whether or not they have just been downloaded.
The idea is to catch corruption or unexpected changes
each time I run the unit test.
This unit test only exercises 8 different points.
I want to add a more thorough unit test soon, before
moving on to implementing the constellation finder in
the other supported programming languages.
Can now calculate the heliocentric Solar System Barycenter (SSB)
and Earth/Moon Barycenter (EMB).
Changes made in C, C#, JavaScript and Python:
Added new body codes SSB, EMB.
Added support for calculating both in HelioVector functions.
Verified that all calculations match NOVAS.
Verified that all calculations match each other across languages.