thor
astropy
thor | astropy | |
---|---|---|
3 | 26 | |
34 | 4,218 | |
- | 1.2% | |
9.1 | 9.9 | |
2 months ago | 3 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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thor
- Tracklet-Less Heliocentric Orbit Recovery
- THOR: Tracklet-Less Heliocentric Orbit Recovery
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NASA’s Double Asteroid Redirection Test Is a Smashing Success
Hi, I work on N-body orbit determination software for asteroid detection and planetary defense (for example, https://github.com/moeyensj/thor). Ask me anything.
You're right that orbit determination is unstable over long runs, and very sensitive to initial conditions. But the good news is that the solar system is big. Most trajectories do not intersect with the earth's location. So perturbing an orbit that we think has a small chance of hitting us tends to be safe.
Also, of course, after deflection, any object is going to be monitored really closely for a long time.
astropy
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Julia 1.10 Released
Astropy [0] lives at the heart of most work. It has a Python interface, often backed by Fortran and C++ extension modules. If you use Astropy, you're indirectly using libraries like ERFA [6] and cfitsio [7] which are in C/Fortran.
I personally end up doing a lot of work that uses the HEALPix sky tesselation, so I use healpy [2] as well.
Openorb is perhaps a good example of a pure-Fortran package that I use quite. frequently for orbit propagation [3].
In C, there's Rebound [4] (for N-body simulations) and ASSIST [5] (which extends Rebound to use JPL's pre-calculated positions of major perturbers, and expands the force model to account for general relativity).
There are many more, these are just ones that come to mind from frequent usage in the last few months.
[0] https://www.astropy.org/
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Skyfield: Elegant Astronomy for Python
Users interested in a broader range of astronomical tools beyond coordinate transformations may be interested in https://www.astropy.org/ and its affiliated packages.
- Astropy: Common core package for Astronomy in Python
- [R] Astronomia ex machina: a history, primer and outlook on neural networks in astronomy
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License Adherence Help
I'm working on a pure Rust approximation of astropy. Up til now, I was able to recreate the intent by looking at an external API, but I'm moving on to functionality that I don't understand enough to implement without basically copying the code. Astropy uses the BSD-3 license, and it wraps the ERFA library which uses a custom license. My project currently uses the MIT license. My PR is here - my question is have I attributed everything correctly, or is there anything I need to change for everything to be above-board?
- Astro physics data analysis
- I'm a mechanical engineer with a solid background in Python and experience earlier in my career in natural science/physics. Are there any meaningful, active, open source opportunities in space science?
- OpenSource voltado à ciência
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Astronomical Calculations for Hard SF in Common Lisp
For folks who might be interested in astronomical calculations but who don't want to roll their own library, astropy (https://www.astropy.org/) is widely used by professional astronomers.
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Looking to study data from JWST's spectroscopy instruments
I agree with the other commenter. Check out their github. If you’re looking to build your skills long term (and have some experience with python) it’s worth checking out astropy and their fits file handling routines.