Pylint discovered that I was raising Exception,
which was overly general. I didn't mean to do that;
it was supposed to be my custom exception type
astronomy.Error instead. So I fixed that case.
There were also some deprecated settings in the
pylint configuration file, so I fixed those too.
More work standardizing the nomenclature of the
orientation systems across all language documents.
Added C functions to calculate rotation matrices
for EQJ/ECT and ECT/EQJ.
Define ECT = True Ecliptic of Date in the documentation.
I will soon convert the Ecliptic() functions to return ECT instead of
ECL, but I will retain ECL support via rotation matrix functions.
Added EclipticGeoMoon as output to the temp/*_check.txt files as 'm' lines.
This ensures that all the languages calculate nearly identical values.
Optimized EclipticGeoMoon a little more by eliminating a redundant
call to mean_obliq.
I bootstrapped based on the pretty good optimizations that
codegen did for the Python version of the (now truncated)
IAU2000B nutation formula. I will do the same for the other
nutation formulas.
While trying to convert ecliptic coordinates from mean
equinox of date to true equinox of date, I ran into excessive
overhead from the IAU2000B nutation model. The fact that it
uses 77 trigonometric terms made the calculations a lot slower.
https://apps.dtic.mil/sti/pdfs/AD1112517.pdf
Page 4 in the above document mentions a shorter series
“NOD version 2” that has 13 terms instead of 77 as used in IAU2000B.
I had not noticed NOD2 before, because it appears only in
the FORTRAN version of NOVAS 3.x, not the C version.
After reading the FORTRAN code, I realized NOD2 is the same
as IAU2000B, only it keeps the first 13 of 77 terms.
The terms are already arranged in descending order of
significance, so it is easy to truncate the series.
Based on this discovery, I realized I could achieve all of
the required accuracy needed for Astronomy Engine by
keeping only the first 5 terms of the nutation series.
This tremendously speeds up nutation calculations while
sacrificing only a couple of arcseconds of accuracy.
It also makes the minified JavaScript code smaller:
Before: 119500 bytes.
After: 116653 bytes.
So that's what I did here. Most of the work was updating
unit tests for accepting slightly different calculation
results.
The nutation formula change did trigger detection of a
lurking bug in the inverse_terra functions, which convert
a geocentric vector into latitude, longitude, and elevation
(i.e. an Observer object). The Newton's Method loop in
this function was not always converging, resulting in
an infinite loop. I fixed that by increasing the
convergence threshold and throwing an exception
if the loop iterates more than 10 times.
I also fixed a couple of bugs in the `demotest` scripts.
The documentation for SearchRiseSet and SearchAltitude needed
clarification about refraction and the part of the body solved
for (center versus limb). The JavaScript version was especially
lacking compared to documentation for the other languages.
Also documented SearchAltitude's limitations; it does not
work at or near maximum/minimum altitude.
Mention that user-defined stars are allowed for
SearchRiseSet, SearchAltitude, and SearchHourAngle.
Fixed a couple places where the Kotlin documentation had
broken links to other functions.
I had a copy-n-paste typo in the `dec` parameters
for all of the DefineStar functions. Fixed it.
The TypeScript version of HelioState did not handle
user-defined stars. Added support there.
Because we instantly know the heliocentric
distance of a user-defined star, there is no
need to convert it into a vector and then take
the length of the vector.
All of the HelioDistance functions now return
the distance directly, as an optimization.
Also, I decided it didn't make sense to have a
default definition for user-defined stars.
If the caller doesn't define a star, it should
be treated as an invalid body.
Added Python support for user-defined stars.
Defined new StateVector methods: Position and Velocity.
Defined division operator: Vector / float.
Bumped version number to 2.1.12.
Made sure all the altitude search functions
verify that the geographic latitude and target altitude
are valid numbers in the range [-90, +90].
Reworked the C version of the code to be clearer:
eliminated goofy ALTDIFF macro, split out max
altitude derivative into its own function MaxAltitudeSlope,
just like the other language implementations do.
Minor rewording of comments in MaxAltitudeSlope functions.
Python InvalidBodyError now includes the invalid body
in the diagnostic message.
This is a whole new algorithm that efficiently finds
all rise/set events, even near the poles.
It uses a recursive bisection search that limits
recursion depth by knowing the maximum possible
|da/dt| = change in altitude with respect to time.
Updated the version number so I can create a new
npm package to test the pull request from @matheo
that should allow TypeScript types to be exported correctly.
Updated CodeQL config to ignore source templates,
because they are not syntactically valid source code.
Ignore other stuff that is irrelevant to published
code quality.
Made various fixes based on helpful CodeQL analysis.
This is my second attempt to release eclipse obscuration.
I discovered there was a missing unit test for obscuration
for lunar eclipses in the Kotlin library. It has been added.
I ported the NOVAS C 3.1 functions julian_date and cal_date to Python,
and removed the dependence on the standard datetime class for calculating UT.
Now we can create Time objects for a much wider range of year values.
Simplified the julian_date formula in C and C#.
In the Python version, I had to account for a difference
in the way integer division works for negative numbers.
In Python, integer division always rounds down, not toward
zero like it does in C/C#. So I reworked the formulas to
avoid dividing a negative integer (month-14), dividing the
positive quantity (14-month) instead and toggling addition
of the term with subtraction of the term.
I use the reworked (14-month) version in C and C# for consistency.
Also, the formatting of the formula was wacky and didn't make sense,
so now it easier to read and understand.
The Python regex for parsing dates has been expanded to allow
years before 0 and after 9999.
Allow converting Python Time to string for years before 0 and after 9999.
The following Python functions now support searching
in forward or reverse chronological order:
SearchRiseSet
SearchAltitude
SearchHourAngle
Made some minor performance improvements to the
other implementations: return sooner if we
go past time window.
