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"Although traditionally double
precision has been considered enough for high-precision applica-
tions in astrodynamics and celestial mechanics, in recent times our
understanding of the physics of the Solar System has progressed to
the point that the use of double-precision arithmetic can become the
limiting factor in achieving the desired level of accuracy"
Thanks for pointing out heyoka, it looks like a neat library.
There are a number of higher precision libraries (up to 128bit quad precision) that I don't think would be difficult to use with Ascent, but I haven't tried, and I'm not sure which one would be best to implement.
That is an interesting competition. I have run high order Taylor solvers (like heyoka) in the past and I can see their appeal for this problem, but I feel like a custom implicit solver would be a better approach for this kind of problem where the equations are all known.
If you try to tackle this problem with Ascent I would be happy to give feedback. Another option is looking into boost's odeint implicit solvers.
Do you have any idea of how heyoka implements 128bit floating point support?
Ascent integrators are templated, so you should be able to use the real128 type in https://github.com/bluescarni/mppp (this is the library that heyoka uses)
Would be nice if Ascent could support 80-bit precision as
https://github.com/bluescarni/heyoka already does.
From https://arxiv.org/abs/2105.00800 :
"Although traditionally double
precision has been considered enough for high-precision applica-
tions in astrodynamics and celestial mechanics, in recent times our
understanding of the physics of the Solar System has progressed to
the point that the use of double-precision arithmetic can become the
limiting factor in achieving the desired level of accuracy"
There is an ongoing competition https://kelvins.esa.int/space-debris-the-origin/challenge/ where I think Ascent is a good alternative to Heyoka, but possibly requires high accuracy (30 years orbit propagation).
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