Where are Solar System objects located in TESS FFI data?
Project description
Where are Solar System objects located in TESS FFI data?
tess-ephem is a user-friendly package which enables users to compute the positions of Solar System objects – asteroids, comets, and planets – in the data archive of NASA’s TESS Space Telescope.
Installation
python -m pip install tess-ephem
Example use
tess-ephem allows you to search the entire archive of TESS FFI’s for the presence of a known minor planet, and obtain the result as a Pandas DataFrame. For example:
>>> from tess_ephem import ephem
>>> ephem("Sedna")
sector camera ccd column row
time
2018-11-16 00:00:00.000 5 1 4 1543.312296 1102.821559
2018-11-17 00:00:00.000 5 1 4 1545.160910 1102.880825
2018-11-18 00:00:00.000 5 1 4 1547.011351 1102.934375
...
2018-12-09 00:00:00.000 5 1 4 1584.585407 1102.239292
2018-12-10 00:00:00.000 5 1 4 1586.245261 1102.132304
2018-12-11 00:00:00.000 5 1 4 1587.906380 1102.012091
You can also obtain the ephemeris for one or more specific times by passing the time parameter:
>>> ephem("Sedna", time="2018-11-21 17:35:00")
sector camera ccd column row
time
2018-11-21 17:35:00.000 5 1 4 1553.887838 1103.048431
Additional physical parameters can be obtained by passing the verbose=True parameter:
>>> ephem("Sedna", time="2018-11-21 17:35:00", verbose=True)
sector camera ccd column row pixels_per_hour ra dec vmag sun_distance obs_distance phase_angle
time
2018-11-21 17:35:00.000 5 1 4 1553.887838 1103.048431 0.074054 57.05786 7.63721 20.612 84.942885 83.975689 0.1419
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for tess_ephem-0.2.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ce48e0c528b95b652cbbe30ddcfbd9a6f701db9a3981cae0ef117941135208d4 |
|
MD5 | 7bfe14523fda57f7f273b603fb5c93ee |
|
BLAKE2b-256 | 6a8a581ad7fd91301081241faac18a58cff3fa72f390e73ee6953c773f3b8eb9 |