[AstroPy] Python Functions for Horizontal to Equatorial and vice versa?
Wed Apr 21 20:19:50 CDT 2010
I may be wrong, but it looks like there are some fairly straightforward
methods on the web for both methods. Here are two that I've taken note
of. <http://www2.arnes.si/~gljsentvid10/sfera/chapter7.htm> and
Both give the details. Another,
<http://www.davincisworld.com/Satellites/OrbitalDynamics.htm>, gives the
details and performs an example calculation. See a few pages into it,
around Figure 1.1.2.
On 4/20/2010 8:46 PM, Anne Archibald wrote:
> On 19 April 2010 15:15, Wayne Watson<firstname.lastname@example.org> wrote:
>> I'm looking for two functions to do the coordinate transformations in
>> the Subject. Just those two. I don't need any others.
> I think you will find that you need many other functions than just
> horizontal to equatorial: the transformation depends on LST, for
> example, which you will need to convert to or from GMT, and on
> latitude/longitude; you'll probably want to convert various
> coordinates between sexagesimal and radians or degrees; you may even
> find galactic coordinates useful. Just go with something like a python
> wrapper for SLALIB.
> If you really want just those two functions, if it's really essential
> to keep dependencies down at the cost of debugging pain, you can write
> such a function fairly easily by converting to a 3D vector
> representation and back.
> Good luck,
>> According to a very recent article in USA Today, 47%
>> of households and individual do not pay federal taxes.
>> In better times, it's about 38%. It's allowed under
>> present laws. Google USA Today "when 47% don't"
> P.S. This is not a political forum. -A
Wayne Watson (Watson Adventures, Prop., Nevada City, CA)
(121.015 Deg. W, 39.262 Deg. N) GMT-8 hr std. time)
Obz Site: 39° 15' 7" N, 121° 2' 32" W, 2700 feet
According to a very recent article in USA Today, 47%
of households and individual do not pay federal taxes.
In better times, it's about 38%. It's allowed under
present laws. Google USA Today "when 47% don't"
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