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tess-ephem

Where are Solar System objects located in TESS FFI data?

pypipytestblackflake8mypy

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. The output pixel coordinates (column and row) follow the TESS convention, with (1,1) being the middle of the pixel in the lower left corner of the FFI. For example:

>>>fromtess_ephemimportephem>>>ephem("Sedna")
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2458438.55141543.1040211102.94835169.182738 ... 7.6496120.8031.4984.94753683.9810600.14662458439.55141544.9789691103.00070169.182758 ... 7.6472420.8021.4984.94676083.9788700.14352458440.55141546.8660071103.02741569.182777 ... 7.6450020.8011.4984.94598583.9773350.14122458441.55141548.7508851103.04024269.182797 ... 7.6428420.8011.4984.94520983.9763340.13972458442.55141550.6271991103.04402069.182818 ... 7.6407420.8011.4984.94443383.9758020.1393
... ... ... ... ... ... ... ... ... ... ... ... ... ...
2460254.571241984.5785781003.55588869.182570 ... 8.3608920.7501.4983.59274082.6617710.24402460255.571241984.8084841001.73704769.182584 ... 8.3580320.7491.4983.59201782.6566070.23472460256.571241985.037223999.91109169.182599 ... 8.3551720.7471.4983.59129482.6519200.22572460257.571241985.258387998.08471869.182615 ... 8.3523520.7451.4983.59057282.6477500.21682460258.571241985.462457996.27963869.182631 ... 8.3496420.7441.4983.58984982.6441490.2083
[75rowsx14columns]

The time is in the UT scale. To convert this to the TDB timescale, the column tdb-ut (offset in seconds) should be used.

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")
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2018-11-2117:35:00.0005141553.8584041103.03502769.182854 ... 7.6372120.8021.4984.9430983.9758940.1409>>>fromastropy.timeimportTime>>>ephem("Sedna", time=Time([2458441.5,2460258.5], format='jd'))
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2458441.55141548.7508851103.04024269.182797 ... 7.6428420.8011.4984.94520983.9763340.13972460258.571241985.462457996.27963869.182631 ... 8.3496420.7441.4983.58984982.6441490.2083

Orbital elements can be obtained by passing the orbital_elements=True parameter. The function returns the average orbital elements of the target during the queried time. Perihelion distance is in AU and orbital inclination is in degrees.

>>>df_ephem, orbital_elements=ephem("Sedna", time="2018-11-21 17:35:00", orbital_elements=True)
>>>orbital_elements
{'perihelion_distance': 76.13306961191206, 'eccentricity': 0.8413469227223953, 'orbital_inclination': 11.929585162007143}

You can alternatively obtain the ephemeris during a specific sector by passing the sector parameter:

>>>ephem("Sedna", sector=70)
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2460208.570421965.9946391827.04967269.182409 ... 8.4948320.8151.4983.62600983.1719830.61842460209.570421966.3044671826.44241469.182402 ... 8.4924820.8141.4983.62528583.1561530.61372460210.570421966.6395791825.74319869.182395 ... 8.4898920.8131.4983.62456183.1402100.60852460211.570421966.9957171824.97590269.182389 ... 8.4871120.8121.4983.62383883.1244610.60292460212.570421967.3639621824.16006269.182383 ... 8.4842120.8111.4983.62311483.1089740.59702460213.570421967.7432471823.29943269.182377 ... 8.4812020.8101.4983.62239183.0937700.59082460214.570421968.1278561822.40226869.182372 ... 8.4781220.8091.4983.62166783.0788620.58452460215.570421968.5163591821.47063369.182367 ... 8.4749820.8081.4983.62094483.0642640.57792460216.570421968.9094791820.50791269.182363 ... 8.4717820.8061.4983.62022083.0499950.57122460217.570421969.3011391819.52067169.182359 ... 8.4685620.8051.4983.61949783.0360820.56442460218.570421969.6906291818.51436469.182355 ... 8.4653320.8041.4983.61877383.0225620.55752460219.570421970.0700961817.50477569.182353 ... 8.4621520.8031.4983.61805083.0094810.55042460220.570421970.4134471816.52739869.182350 ... 8.4592020.8021.4983.61732682.9967740.54352460221.570421970.6855941815.59304069.182349 ... 8.4566820.8001.4983.61660382.9836810.53692460222.570421970.9450961814.59045369.182347 ... 8.4541520.7991.4983.61587982.9698910.53012460223.570421971.2281101813.50506869.182347 ... 8.4514020.7981.4983.61515682.9561130.52282460224.570421971.5285841812.36114469.182347 ... 8.4484920.7961.4983.61443382.9425890.51522460225.570421971.8400951811.17239769.182347 ... 8.4454720.7951.4983.61370982.9293770.50742460226.570421972.1601451809.94465069.182348 ... 8.4423620.7941.4983.61298682.9164950.49932460227.570421972.4840841808.68240469.182350 ... 8.4391920.7921.4983.61226382.9039560.49112460228.570421972.8115651807.39280969.182352 ... 8.4359720.7911.4983.61153982.8917740.48272460229.570421973.1390071806.07660569.182354 ... 8.4327220.7901.4983.61081682.8799680.47422460230.570421973.4674941804.73887669.182358 ... 8.4294420.7881.4983.61009382.8685660.46572460231.570421973.7913051803.38789069.182361 ... 8.4261720.7871.4983.60937082.8576090.45702460232.570421974.1022221802.03774769.182365 ... 8.4229720.7851.4983.60864682.8471500.4483

When passing the sector parameter, the time_step is by default 1 day. This can be changed as follows:

>>>ephem("Sedna", sector=70, time_step=0.1)
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2460207.670421965.6984671827.54320369.182416 ... 8.49697720.8159731.4983.62666083.1855190.6224232460207.770421965.7346581827.48731769.182415 ... 8.49672020.8160021.4983.62658883.1840490.6219562460207.870421965.7699861827.43201869.182415 ... 8.49646820.8160451.4983.62651583.1825730.6214972460207.970421965.8044111827.37718769.182414 ... 8.49622120.8160581.4983.62644383.1810910.6210462460208.070421965.8378891827.32270569.182413 ... 8.49598020.8160001.4983.62637083.1795990.620600
... ... ... ... ... ... ... ... ... ... ... ... ... ...
2460233.070421974.2483801801.37166769.182368 ... 8.42143020.7850001.4983.60828582.8421100.4440002460233.170421974.2756951801.24032069.182368 ... 8.42113420.7848861.4983.60821282.8411150.4431372460233.270421974.3021281801.10981569.182369 ... 8.42084420.7847071.4983.60814082.8401220.4422752460233.370421974.3276591800.98017669.182369 ... 8.42056020.7844861.4983.60806882.8391290.4414142460233.470421974.3522681800.85143069.182370 ... 8.42028220.7842431.4983.60799582.8381360.440555
[259rowsx14columns]

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Where are Solar System objects located in TESS data?

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Skip to content
BranchesTags
Repository files navigation
tess-ephem
Where are Solar System objects located in TESS FFI data?
pypipytestblackflake8mypy
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. The output pixel coordinates (column and row) follow the TESS convention, with (1,1) being the middle of the pixel in the lower left corner of the FFI. For example:
>>>fromtess_ephemimportephem>>>ephem("Sedna")
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2458438.55141543.1040211102.94835169.182738 ... 7.6496120.8031.4984.94753683.9810600.14662458439.55141544.9789691103.00070169.182758 ... 7.6472420.8021.4984.94676083.9788700.14352458440.55141546.8660071103.02741569.182777 ... 7.6450020.8011.4984.94598583.9773350.14122458441.55141548.7508851103.04024269.182797 ... 7.6428420.8011.4984.94520983.9763340.13972458442.55141550.6271991103.04402069.182818 ... 7.6407420.8011.4984.94443383.9758020.1393
... ... ... ... ... ... ... ... ... ... ... ... ... ...
2460254.571241984.5785781003.55588869.182570 ... 8.3608920.7501.4983.59274082.6617710.24402460255.571241984.8084841001.73704769.182584 ... 8.3580320.7491.4983.59201782.6566070.23472460256.571241985.037223999.91109169.182599 ... 8.3551720.7471.4983.59129482.6519200.22572460257.571241985.258387998.08471869.182615 ... 8.3523520.7451.4983.59057282.6477500.21682460258.571241985.462457996.27963869.182631 ... 8.3496420.7441.4983.58984982.6441490.2083
[75rowsx14columns]
The time is in the UT scale. To convert this to the TDB timescale, the column tdb-ut (offset in seconds) should be used.
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")
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2018-11-2117:35:00.0005141553.8584041103.03502769.182854 ... 7.6372120.8021.4984.9430983.9758940.1409>>>fromastropy.timeimportTime>>>ephem("Sedna", time=Time([2458441.5,2460258.5], format='jd'))
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2458441.55141548.7508851103.04024269.182797 ... 7.6428420.8011.4984.94520983.9763340.13972460258.571241985.462457996.27963869.182631 ... 8.3496420.7441.4983.58984982.6441490.2083
Orbital elements can be obtained by passing the orbital_elements=True parameter. The function returns the average orbital elements of the target during the queried time. Perihelion distance is in AU and orbital inclination is in degrees.
>>>df_ephem, orbital_elements=ephem("Sedna", time="2018-11-21 17:35:00", orbital_elements=True)
>>>orbital_elements
{'perihelion_distance': 76.13306961191206, 'eccentricity': 0.8413469227223953, 'orbital_inclination': 11.929585162007143}
You can alternatively obtain the ephemeris during a specific sector by passing
the sector parameter:
>>>ephem("Sedna", sector=70)
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2460208.570421965.9946391827.04967269.182409 ... 8.4948320.8151.4983.62600983.1719830.61842460209.570421966.3044671826.44241469.182402 ... 8.4924820.8141.4983.62528583.1561530.61372460210.570421966.6395791825.74319869.182395 ... 8.4898920.8131.4983.62456183.1402100.60852460211.570421966.9957171824.97590269.182389 ... 8.4871120.8121.4983.62383883.1244610.60292460212.570421967.3639621824.16006269.182383 ... 8.4842120.8111.4983.62311483.1089740.59702460213.570421967.7432471823.29943269.182377 ... 8.4812020.8101.4983.62239183.0937700.59082460214.570421968.1278561822.40226869.182372 ... 8.4781220.8091.4983.62166783.0788620.58452460215.570421968.5163591821.47063369.182367 ... 8.4749820.8081.4983.62094483.0642640.57792460216.570421968.9094791820.50791269.182363 ... 8.4717820.8061.4983.62022083.0499950.57122460217.570421969.3011391819.52067169.182359 ... 8.4685620.8051.4983.61949783.0360820.56442460218.570421969.6906291818.51436469.182355 ... 8.4653320.8041.4983.61877383.0225620.55752460219.570421970.0700961817.50477569.182353 ... 8.4621520.8031.4983.61805083.0094810.55042460220.570421970.4134471816.52739869.182350 ... 8.4592020.8021.4983.61732682.9967740.54352460221.570421970.6855941815.59304069.182349 ... 8.4566820.8001.4983.61660382.9836810.53692460222.570421970.9450961814.59045369.182347 ... 8.4541520.7991.4983.61587982.9698910.53012460223.570421971.2281101813.50506869.182347 ... 8.4514020.7981.4983.61515682.9561130.52282460224.570421971.5285841812.36114469.182347 ... 8.4484920.7961.4983.61443382.9425890.51522460225.570421971.8400951811.17239769.182347 ... 8.4454720.7951.4983.61370982.9293770.50742460226.570421972.1601451809.94465069.182348 ... 8.4423620.7941.4983.61298682.9164950.49932460227.570421972.4840841808.68240469.182350 ... 8.4391920.7921.4983.61226382.9039560.49112460228.570421972.8115651807.39280969.182352 ... 8.4359720.7911.4983.61153982.8917740.48272460229.570421973.1390071806.07660569.182354 ... 8.4327220.7901.4983.61081682.8799680.47422460230.570421973.4674941804.73887669.182358 ... 8.4294420.7881.4983.61009382.8685660.46572460231.570421973.7913051803.38789069.182361 ... 8.4261720.7871.4983.60937082.8576090.45702460232.570421974.1022221802.03774769.182365 ... 8.4229720.7851.4983.60864682.8471500.4483
When passing the sector parameter, the time_step is by default 1 day.
This can be changed as follows:
>>>ephem("Sedna", sector=70, time_step=0.1)
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2460207.670421965.6984671827.54320369.182416 ... 8.49697720.8159731.4983.62666083.1855190.6224232460207.770421965.7346581827.48731769.182415 ... 8.49672020.8160021.4983.62658883.1840490.6219562460207.870421965.7699861827.43201869.182415 ... 8.49646820.8160451.4983.62651583.1825730.6214972460207.970421965.8044111827.37718769.182414 ... 8.49622120.8160581.4983.62644383.1810910.6210462460208.070421965.8378891827.32270569.182413 ... 8.49598020.8160001.4983.62637083.1795990.620600
... ... ... ... ... ... ... ... ... ... ... ... ... ...
2460233.070421974.2483801801.37166769.182368 ... 8.42143020.7850001.4983.60828582.8421100.4440002460233.170421974.2756951801.24032069.182368 ... 8.42113420.7848861.4983.60821282.8411150.4431372460233.270421974.3021281801.10981569.182369 ... 8.42084420.7847071.4983.60814082.8401220.4422752460233.370421974.3276591800.98017669.182369 ... 8.42056020.7844861.4983.60806882.8391290.4414142460233.470421974.3522681800.85143069.182370 ... 8.42028220.7842431.4983.60799582.8381360.440555
[259rowsx14columns]
About
Where are Solar System objects located in TESS data?
Resources
Readme
MIT license
Activity
Custom properties
Stars
2 stars
Watchers
4 watching
Forks
2 forks
Report repository
Releases
Packages
Contributors
Languages

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Skip to content
BranchesTags
Repository files navigation
tess-ephem
Where are Solar System objects located in TESS FFI data?
pypipytestblackflake8mypy
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. The output pixel coordinates (column and row) follow the TESS convention, with (1,1) being the middle of the pixel in the lower left corner of the FFI. For example:
>>>fromtess_ephemimportephem>>>ephem("Sedna")
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2458438.55141543.1040211102.94835169.182738 ... 7.6496120.8031.4984.94753683.9810600.14662458439.55141544.9789691103.00070169.182758 ... 7.6472420.8021.4984.94676083.9788700.14352458440.55141546.8660071103.02741569.182777 ... 7.6450020.8011.4984.94598583.9773350.14122458441.55141548.7508851103.04024269.182797 ... 7.6428420.8011.4984.94520983.9763340.13972458442.55141550.6271991103.04402069.182818 ... 7.6407420.8011.4984.94443383.9758020.1393
... ... ... ... ... ... ... ... ... ... ... ... ... ...
2460254.571241984.5785781003.55588869.182570 ... 8.3608920.7501.4983.59274082.6617710.24402460255.571241984.8084841001.73704769.182584 ... 8.3580320.7491.4983.59201782.6566070.23472460256.571241985.037223999.91109169.182599 ... 8.3551720.7471.4983.59129482.6519200.22572460257.571241985.258387998.08471869.182615 ... 8.3523520.7451.4983.59057282.6477500.21682460258.571241985.462457996.27963869.182631 ... 8.3496420.7441.4983.58984982.6441490.2083
[75rowsx14columns]
The time is in the UT scale. To convert this to the TDB timescale, the column tdb-ut (offset in seconds) should be used.
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")
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2018-11-2117:35:00.0005141553.8584041103.03502769.182854 ... 7.6372120.8021.4984.9430983.9758940.1409>>>fromastropy.timeimportTime>>>ephem("Sedna", time=Time([2458441.5,2460258.5], format='jd'))
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2458441.55141548.7508851103.04024269.182797 ... 7.6428420.8011.4984.94520983.9763340.13972460258.571241985.462457996.27963869.182631 ... 8.3496420.7441.4983.58984982.6441490.2083
Orbital elements can be obtained by passing the orbital_elements=True parameter. The function returns the average orbital elements of the target during the queried time. Perihelion distance is in AU and orbital inclination is in degrees.
>>>df_ephem, orbital_elements=ephem("Sedna", time="2018-11-21 17:35:00", orbital_elements=True)
>>>orbital_elements
{'perihelion_distance': 76.13306961191206, 'eccentricity': 0.8413469227223953, 'orbital_inclination': 11.929585162007143}
You can alternatively obtain the ephemeris during a specific sector by passing
the sector parameter:
>>>ephem("Sedna", sector=70)
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2460208.570421965.9946391827.04967269.182409 ... 8.4948320.8151.4983.62600983.1719830.61842460209.570421966.3044671826.44241469.182402 ... 8.4924820.8141.4983.62528583.1561530.61372460210.570421966.6395791825.74319869.182395 ... 8.4898920.8131.4983.62456183.1402100.60852460211.570421966.9957171824.97590269.182389 ... 8.4871120.8121.4983.62383883.1244610.60292460212.570421967.3639621824.16006269.182383 ... 8.4842120.8111.4983.62311483.1089740.59702460213.570421967.7432471823.29943269.182377 ... 8.4812020.8101.4983.62239183.0937700.59082460214.570421968.1278561822.40226869.182372 ... 8.4781220.8091.4983.62166783.0788620.58452460215.570421968.5163591821.47063369.182367 ... 8.4749820.8081.4983.62094483.0642640.57792460216.570421968.9094791820.50791269.182363 ... 8.4717820.8061.4983.62022083.0499950.57122460217.570421969.3011391819.52067169.182359 ... 8.4685620.8051.4983.61949783.0360820.56442460218.570421969.6906291818.51436469.182355 ... 8.4653320.8041.4983.61877383.0225620.55752460219.570421970.0700961817.50477569.182353 ... 8.4621520.8031.4983.61805083.0094810.55042460220.570421970.4134471816.52739869.182350 ... 8.4592020.8021.4983.61732682.9967740.54352460221.570421970.6855941815.59304069.182349 ... 8.4566820.8001.4983.61660382.9836810.53692460222.570421970.9450961814.59045369.182347 ... 8.4541520.7991.4983.61587982.9698910.53012460223.570421971.2281101813.50506869.182347 ... 8.4514020.7981.4983.61515682.9561130.52282460224.570421971.5285841812.36114469.182347 ... 8.4484920.7961.4983.61443382.9425890.51522460225.570421971.8400951811.17239769.182347 ... 8.4454720.7951.4983.61370982.9293770.50742460226.570421972.1601451809.94465069.182348 ... 8.4423620.7941.4983.61298682.9164950.49932460227.570421972.4840841808.68240469.182350 ... 8.4391920.7921.4983.61226382.9039560.49112460228.570421972.8115651807.39280969.182352 ... 8.4359720.7911.4983.61153982.8917740.48272460229.570421973.1390071806.07660569.182354 ... 8.4327220.7901.4983.61081682.8799680.47422460230.570421973.4674941804.73887669.182358 ... 8.4294420.7881.4983.61009382.8685660.46572460231.570421973.7913051803.38789069.182361 ... 8.4261720.7871.4983.60937082.8576090.45702460232.570421974.1022221802.03774769.182365 ... 8.4229720.7851.4983.60864682.8471500.4483
When passing the sector parameter, the time_step is by default 1 day.
This can be changed as follows:
>>>ephem("Sedna", sector=70, time_step=0.1)
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2460207.670421965.6984671827.54320369.182416 ... 8.49697720.8159731.4983.62666083.1855190.6224232460207.770421965.7346581827.48731769.182415 ... 8.49672020.8160021.4983.62658883.1840490.6219562460207.870421965.7699861827.43201869.182415 ... 8.49646820.8160451.4983.62651583.1825730.6214972460207.970421965.8044111827.37718769.182414 ... 8.49622120.8160581.4983.62644383.1810910.6210462460208.070421965.8378891827.32270569.182413 ... 8.49598020.8160001.4983.62637083.1795990.620600
... ... ... ... ... ... ... ... ... ... ... ... ... ...
2460233.070421974.2483801801.37166769.182368 ... 8.42143020.7850001.4983.60828582.8421100.4440002460233.170421974.2756951801.24032069.182368 ... 8.42113420.7848861.4983.60821282.8411150.4431372460233.270421974.3021281801.10981569.182369 ... 8.42084420.7847071.4983.60814082.8401220.4422752460233.370421974.3276591800.98017669.182369 ... 8.42056020.7844861.4983.60806882.8391290.4414142460233.470421974.3522681800.85143069.182370 ... 8.42028220.7842431.4983.60799582.8381360.440555
[259rowsx14columns]
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})();
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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tess-ephem
Where are Solar System objects located in TESS FFI data?
pypipytestblackflake8mypy
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. The output pixel coordinates (column and row) follow the TESS convention, with (1,1) being the middle of the pixel in the lower left corner of the FFI. For example:
>>>fromtess_ephemimportephem>>>ephem("Sedna")
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2458438.55141543.1040211102.94835169.182738 ... 7.6496120.8031.4984.94753683.9810600.14662458439.55141544.9789691103.00070169.182758 ... 7.6472420.8021.4984.94676083.9788700.14352458440.55141546.8660071103.02741569.182777 ... 7.6450020.8011.4984.94598583.9773350.14122458441.55141548.7508851103.04024269.182797 ... 7.6428420.8011.4984.94520983.9763340.13972458442.55141550.6271991103.04402069.182818 ... 7.6407420.8011.4984.94443383.9758020.1393
... ... ... ... ... ... ... ... ... ... ... ... ... ...
2460254.571241984.5785781003.55588869.182570 ... 8.3608920.7501.4983.59274082.6617710.24402460255.571241984.8084841001.73704769.182584 ... 8.3580320.7491.4983.59201782.6566070.23472460256.571241985.037223999.91109169.182599 ... 8.3551720.7471.4983.59129482.6519200.22572460257.571241985.258387998.08471869.182615 ... 8.3523520.7451.4983.59057282.6477500.21682460258.571241985.462457996.27963869.182631 ... 8.3496420.7441.4983.58984982.6441490.2083
[75rowsx14columns]
The time is in the UT scale. To convert this to the TDB timescale, the column tdb-ut (offset in seconds) should be used.
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")
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2018-11-2117:35:00.0005141553.8584041103.03502769.182854 ... 7.6372120.8021.4984.9430983.9758940.1409>>>fromastropy.timeimportTime>>>ephem("Sedna", time=Time([2458441.5,2460258.5], format='jd'))
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2458441.55141548.7508851103.04024269.182797 ... 7.6428420.8011.4984.94520983.9763340.13972460258.571241985.462457996.27963869.182631 ... 8.3496420.7441.4983.58984982.6441490.2083
Orbital elements can be obtained by passing the orbital_elements=True parameter. The function returns the average orbital elements of the target during the queried time. Perihelion distance is in AU and orbital inclination is in degrees.
>>>df_ephem, orbital_elements=ephem("Sedna", time="2018-11-21 17:35:00", orbital_elements=True)
>>>orbital_elements
{'perihelion_distance': 76.13306961191206, 'eccentricity': 0.8413469227223953, 'orbital_inclination': 11.929585162007143}
You can alternatively obtain the ephemeris during a specific sector by passing
the sector parameter:
>>>ephem("Sedna", sector=70)
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2460208.570421965.9946391827.04967269.182409 ... 8.4948320.8151.4983.62600983.1719830.61842460209.570421966.3044671826.44241469.182402 ... 8.4924820.8141.4983.62528583.1561530.61372460210.570421966.6395791825.74319869.182395 ... 8.4898920.8131.4983.62456183.1402100.60852460211.570421966.9957171824.97590269.182389 ... 8.4871120.8121.4983.62383883.1244610.60292460212.570421967.3639621824.16006269.182383 ... 8.4842120.8111.4983.62311483.1089740.59702460213.570421967.7432471823.29943269.182377 ... 8.4812020.8101.4983.62239183.0937700.59082460214.570421968.1278561822.40226869.182372 ... 8.4781220.8091.4983.62166783.0788620.58452460215.570421968.5163591821.47063369.182367 ... 8.4749820.8081.4983.62094483.0642640.57792460216.570421968.9094791820.50791269.182363 ... 8.4717820.8061.4983.62022083.0499950.57122460217.570421969.3011391819.52067169.182359 ... 8.4685620.8051.4983.61949783.0360820.56442460218.570421969.6906291818.51436469.182355 ... 8.4653320.8041.4983.61877383.0225620.55752460219.570421970.0700961817.50477569.182353 ... 8.4621520.8031.4983.61805083.0094810.55042460220.570421970.4134471816.52739869.182350 ... 8.4592020.8021.4983.61732682.9967740.54352460221.570421970.6855941815.59304069.182349 ... 8.4566820.8001.4983.61660382.9836810.53692460222.570421970.9450961814.59045369.182347 ... 8.4541520.7991.4983.61587982.9698910.53012460223.570421971.2281101813.50506869.182347 ... 8.4514020.7981.4983.61515682.9561130.52282460224.570421971.5285841812.36114469.182347 ... 8.4484920.7961.4983.61443382.9425890.51522460225.570421971.8400951811.17239769.182347 ... 8.4454720.7951.4983.61370982.9293770.50742460226.570421972.1601451809.94465069.182348 ... 8.4423620.7941.4983.61298682.9164950.49932460227.570421972.4840841808.68240469.182350 ... 8.4391920.7921.4983.61226382.9039560.49112460228.570421972.8115651807.39280969.182352 ... 8.4359720.7911.4983.61153982.8917740.48272460229.570421973.1390071806.07660569.182354 ... 8.4327220.7901.4983.61081682.8799680.47422460230.570421973.4674941804.73887669.182358 ... 8.4294420.7881.4983.61009382.8685660.46572460231.570421973.7913051803.38789069.182361 ... 8.4261720.7871.4983.60937082.8576090.45702460232.570421974.1022221802.03774769.182365 ... 8.4229720.7851.4983.60864682.8471500.4483
When passing the sector parameter, the time_step is by default 1 day.
This can be changed as follows:
>>>ephem("Sedna", sector=70, time_step=0.1)
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2460207.670421965.6984671827.54320369.182416 ... 8.49697720.8159731.4983.62666083.1855190.6224232460207.770421965.7346581827.48731769.182415 ... 8.49672020.8160021.4983.62658883.1840490.6219562460207.870421965.7699861827.43201869.182415 ... 8.49646820.8160451.4983.62651583.1825730.6214972460207.970421965.8044111827.37718769.182414 ... 8.49622120.8160581.4983.62644383.1810910.6210462460208.070421965.8378891827.32270569.182413 ... 8.49598020.8160001.4983.62637083.1795990.620600
... ... ... ... ... ... ... ... ... ... ... ... ... ...
2460233.070421974.2483801801.37166769.182368 ... 8.42143020.7850001.4983.60828582.8421100.4440002460233.170421974.2756951801.24032069.182368 ... 8.42113420.7848861.4983.60821282.8411150.4431372460233.270421974.3021281801.10981569.182369 ... 8.42084420.7847071.4983.60814082.8401220.4422752460233.370421974.3276591800.98017669.182369 ... 8.42056020.7844861.4983.60806882.8391290.4414142460233.470421974.3522681800.85143069.182370 ... 8.42028220.7842431.4983.60799582.8381360.440555
[259rowsx14columns]
About
Where are Solar System objects located in TESS data?
Resources
Readme
MIT license
Activity
Custom properties
Stars
2 stars
Watchers
4 watching
Forks
2 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
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var __m = "youtube.com";
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Skip to content
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tess-ephem
Where are Solar System objects located in TESS FFI data?
pypipytestblackflake8mypy
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. The output pixel coordinates (column and row) follow the TESS convention, with (1,1) being the middle of the pixel in the lower left corner of the FFI. For example:
>>>fromtess_ephemimportephem>>>ephem("Sedna")
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2458438.55141543.1040211102.94835169.182738 ... 7.6496120.8031.4984.94753683.9810600.14662458439.55141544.9789691103.00070169.182758 ... 7.6472420.8021.4984.94676083.9788700.14352458440.55141546.8660071103.02741569.182777 ... 7.6450020.8011.4984.94598583.9773350.14122458441.55141548.7508851103.04024269.182797 ... 7.6428420.8011.4984.94520983.9763340.13972458442.55141550.6271991103.04402069.182818 ... 7.6407420.8011.4984.94443383.9758020.1393
... ... ... ... ... ... ... ... ... ... ... ... ... ...
2460254.571241984.5785781003.55588869.182570 ... 8.3608920.7501.4983.59274082.6617710.24402460255.571241984.8084841001.73704769.182584 ... 8.3580320.7491.4983.59201782.6566070.23472460256.571241985.037223999.91109169.182599 ... 8.3551720.7471.4983.59129482.6519200.22572460257.571241985.258387998.08471869.182615 ... 8.3523520.7451.4983.59057282.6477500.21682460258.571241985.462457996.27963869.182631 ... 8.3496420.7441.4983.58984982.6441490.2083
[75rowsx14columns]
The time is in the UT scale. To convert this to the TDB timescale, the column tdb-ut (offset in seconds) should be used.
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")
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2018-11-2117:35:00.0005141553.8584041103.03502769.182854 ... 7.6372120.8021.4984.9430983.9758940.1409>>>fromastropy.timeimportTime>>>ephem("Sedna", time=Time([2458441.5,2460258.5], format='jd'))
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2458441.55141548.7508851103.04024269.182797 ... 7.6428420.8011.4984.94520983.9763340.13972460258.571241985.462457996.27963869.182631 ... 8.3496420.7441.4983.58984982.6441490.2083
Orbital elements can be obtained by passing the orbital_elements=True parameter. The function returns the average orbital elements of the target during the queried time. Perihelion distance is in AU and orbital inclination is in degrees.
>>>df_ephem, orbital_elements=ephem("Sedna", time="2018-11-21 17:35:00", orbital_elements=True)
>>>orbital_elements
{'perihelion_distance': 76.13306961191206, 'eccentricity': 0.8413469227223953, 'orbital_inclination': 11.929585162007143}
You can alternatively obtain the ephemeris during a specific sector by passing
the sector parameter:
>>>ephem("Sedna", sector=70)
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2460208.570421965.9946391827.04967269.182409 ... 8.4948320.8151.4983.62600983.1719830.61842460209.570421966.3044671826.44241469.182402 ... 8.4924820.8141.4983.62528583.1561530.61372460210.570421966.6395791825.74319869.182395 ... 8.4898920.8131.4983.62456183.1402100.60852460211.570421966.9957171824.97590269.182389 ... 8.4871120.8121.4983.62383883.1244610.60292460212.570421967.3639621824.16006269.182383 ... 8.4842120.8111.4983.62311483.1089740.59702460213.570421967.7432471823.29943269.182377 ... 8.4812020.8101.4983.62239183.0937700.59082460214.570421968.1278561822.40226869.182372 ... 8.4781220.8091.4983.62166783.0788620.58452460215.570421968.5163591821.47063369.182367 ... 8.4749820.8081.4983.62094483.0642640.57792460216.570421968.9094791820.50791269.182363 ... 8.4717820.8061.4983.62022083.0499950.57122460217.570421969.3011391819.52067169.182359 ... 8.4685620.8051.4983.61949783.0360820.56442460218.570421969.6906291818.51436469.182355 ... 8.4653320.8041.4983.61877383.0225620.55752460219.570421970.0700961817.50477569.182353 ... 8.4621520.8031.4983.61805083.0094810.55042460220.570421970.4134471816.52739869.182350 ... 8.4592020.8021.4983.61732682.9967740.54352460221.570421970.6855941815.59304069.182349 ... 8.4566820.8001.4983.61660382.9836810.53692460222.570421970.9450961814.59045369.182347 ... 8.4541520.7991.4983.61587982.9698910.53012460223.570421971.2281101813.50506869.182347 ... 8.4514020.7981.4983.61515682.9561130.52282460224.570421971.5285841812.36114469.182347 ... 8.4484920.7961.4983.61443382.9425890.51522460225.570421971.8400951811.17239769.182347 ... 8.4454720.7951.4983.61370982.9293770.50742460226.570421972.1601451809.94465069.182348 ... 8.4423620.7941.4983.61298682.9164950.49932460227.570421972.4840841808.68240469.182350 ... 8.4391920.7921.4983.61226382.9039560.49112460228.570421972.8115651807.39280969.182352 ... 8.4359720.7911.4983.61153982.8917740.48272460229.570421973.1390071806.07660569.182354 ... 8.4327220.7901.4983.61081682.8799680.47422460230.570421973.4674941804.73887669.182358 ... 8.4294420.7881.4983.61009382.8685660.46572460231.570421973.7913051803.38789069.182361 ... 8.4261720.7871.4983.60937082.8576090.45702460232.570421974.1022221802.03774769.182365 ... 8.4229720.7851.4983.60864682.8471500.4483
When passing the sector parameter, the time_step is by default 1 day.
This can be changed as follows:
>>>ephem("Sedna", sector=70, time_step=0.1)
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2460207.670421965.6984671827.54320369.182416 ... 8.49697720.8159731.4983.62666083.1855190.6224232460207.770421965.7346581827.48731769.182415 ... 8.49672020.8160021.4983.62658883.1840490.6219562460207.870421965.7699861827.43201869.182415 ... 8.49646820.8160451.4983.62651583.1825730.6214972460207.970421965.8044111827.37718769.182414 ... 8.49622120.8160581.4983.62644383.1810910.6210462460208.070421965.8378891827.32270569.182413 ... 8.49598020.8160001.4983.62637083.1795990.620600
... ... ... ... ... ... ... ... ... ... ... ... ... ...
2460233.070421974.2483801801.37166769.182368 ... 8.42143020.7850001.4983.60828582.8421100.4440002460233.170421974.2756951801.24032069.182368 ... 8.42113420.7848861.4983.60821282.8411150.4431372460233.270421974.3021281801.10981569.182369 ... 8.42084420.7847071.4983.60814082.8401220.4422752460233.370421974.3276591800.98017669.182369 ... 8.42056020.7844861.4983.60806882.8391290.4414142460233.470421974.3522681800.85143069.182370 ... 8.42028220.7842431.4983.60799582.8381360.440555
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tess-ephem
Where are Solar System objects located in TESS FFI data?
pypipytestblackflake8mypy
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. The output pixel coordinates (column and row) follow the TESS convention, with (1,1) being the middle of the pixel in the lower left corner of the FFI. For example:
>>>fromtess_ephemimportephem>>>ephem("Sedna")
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2458438.55141543.1040211102.94835169.182738 ... 7.6496120.8031.4984.94753683.9810600.14662458439.55141544.9789691103.00070169.182758 ... 7.6472420.8021.4984.94676083.9788700.14352458440.55141546.8660071103.02741569.182777 ... 7.6450020.8011.4984.94598583.9773350.14122458441.55141548.7508851103.04024269.182797 ... 7.6428420.8011.4984.94520983.9763340.13972458442.55141550.6271991103.04402069.182818 ... 7.6407420.8011.4984.94443383.9758020.1393
... ... ... ... ... ... ... ... ... ... ... ... ... ...
2460254.571241984.5785781003.55588869.182570 ... 8.3608920.7501.4983.59274082.6617710.24402460255.571241984.8084841001.73704769.182584 ... 8.3580320.7491.4983.59201782.6566070.23472460256.571241985.037223999.91109169.182599 ... 8.3551720.7471.4983.59129482.6519200.22572460257.571241985.258387998.08471869.182615 ... 8.3523520.7451.4983.59057282.6477500.21682460258.571241985.462457996.27963869.182631 ... 8.3496420.7441.4983.58984982.6441490.2083
[75rowsx14columns]
The time is in the UT scale. To convert this to the TDB timescale, the column tdb-ut (offset in seconds) should be used.
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")
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2018-11-2117:35:00.0005141553.8584041103.03502769.182854 ... 7.6372120.8021.4984.9430983.9758940.1409>>>fromastropy.timeimportTime>>>ephem("Sedna", time=Time([2458441.5,2460258.5], format='jd'))
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2458441.55141548.7508851103.04024269.182797 ... 7.6428420.8011.4984.94520983.9763340.13972460258.571241985.462457996.27963869.182631 ... 8.3496420.7441.4983.58984982.6441490.2083
Orbital elements can be obtained by passing the orbital_elements=True parameter. The function returns the average orbital elements of the target during the queried time. Perihelion distance is in AU and orbital inclination is in degrees.
>>>df_ephem, orbital_elements=ephem("Sedna", time="2018-11-21 17:35:00", orbital_elements=True)
>>>orbital_elements
{'perihelion_distance': 76.13306961191206, 'eccentricity': 0.8413469227223953, 'orbital_inclination': 11.929585162007143}
You can alternatively obtain the ephemeris during a specific sector by passing
the sector parameter:
>>>ephem("Sedna", sector=70)
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2460208.570421965.9946391827.04967269.182409 ... 8.4948320.8151.4983.62600983.1719830.61842460209.570421966.3044671826.44241469.182402 ... 8.4924820.8141.4983.62528583.1561530.61372460210.570421966.6395791825.74319869.182395 ... 8.4898920.8131.4983.62456183.1402100.60852460211.570421966.9957171824.97590269.182389 ... 8.4871120.8121.4983.62383883.1244610.60292460212.570421967.3639621824.16006269.182383 ... 8.4842120.8111.4983.62311483.1089740.59702460213.570421967.7432471823.29943269.182377 ... 8.4812020.8101.4983.62239183.0937700.59082460214.570421968.1278561822.40226869.182372 ... 8.4781220.8091.4983.62166783.0788620.58452460215.570421968.5163591821.47063369.182367 ... 8.4749820.8081.4983.62094483.0642640.57792460216.570421968.9094791820.50791269.182363 ... 8.4717820.8061.4983.62022083.0499950.57122460217.570421969.3011391819.52067169.182359 ... 8.4685620.8051.4983.61949783.0360820.56442460218.570421969.6906291818.51436469.182355 ... 8.4653320.8041.4983.61877383.0225620.55752460219.570421970.0700961817.50477569.182353 ... 8.4621520.8031.4983.61805083.0094810.55042460220.570421970.4134471816.52739869.182350 ... 8.4592020.8021.4983.61732682.9967740.54352460221.570421970.6855941815.59304069.182349 ... 8.4566820.8001.4983.61660382.9836810.53692460222.570421970.9450961814.59045369.182347 ... 8.4541520.7991.4983.61587982.9698910.53012460223.570421971.2281101813.50506869.182347 ... 8.4514020.7981.4983.61515682.9561130.52282460224.570421971.5285841812.36114469.182347 ... 8.4484920.7961.4983.61443382.9425890.51522460225.570421971.8400951811.17239769.182347 ... 8.4454720.7951.4983.61370982.9293770.50742460226.570421972.1601451809.94465069.182348 ... 8.4423620.7941.4983.61298682.9164950.49932460227.570421972.4840841808.68240469.182350 ... 8.4391920.7921.4983.61226382.9039560.49112460228.570421972.8115651807.39280969.182352 ... 8.4359720.7911.4983.61153982.8917740.48272460229.570421973.1390071806.07660569.182354 ... 8.4327220.7901.4983.61081682.8799680.47422460230.570421973.4674941804.73887669.182358 ... 8.4294420.7881.4983.61009382.8685660.46572460231.570421973.7913051803.38789069.182361 ... 8.4261720.7871.4983.60937082.8576090.45702460232.570421974.1022221802.03774769.182365 ... 8.4229720.7851.4983.60864682.8471500.4483
When passing the sector parameter, the time_step is by default 1 day.
This can be changed as follows:
>>>ephem("Sedna", sector=70, time_step=0.1)
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2460207.670421965.6984671827.54320369.182416 ... 8.49697720.8159731.4983.62666083.1855190.6224232460207.770421965.7346581827.48731769.182415 ... 8.49672020.8160021.4983.62658883.1840490.6219562460207.870421965.7699861827.43201869.182415 ... 8.49646820.8160451.4983.62651583.1825730.6214972460207.970421965.8044111827.37718769.182414 ... 8.49622120.8160581.4983.62644383.1810910.6210462460208.070421965.8378891827.32270569.182413 ... 8.49598020.8160001.4983.62637083.1795990.620600
... ... ... ... ... ... ... ... ... ... ... ... ... ...
2460233.070421974.2483801801.37166769.182368 ... 8.42143020.7850001.4983.60828582.8421100.4440002460233.170421974.2756951801.24032069.182368 ... 8.42113420.7848861.4983.60821282.8411150.4431372460233.270421974.3021281801.10981569.182369 ... 8.42084420.7847071.4983.60814082.8401220.4422752460233.370421974.3276591800.98017669.182369 ... 8.42056020.7844861.4983.60806882.8391290.4414142460233.470421974.3522681800.85143069.182370 ... 8.42028220.7842431.4983.60799582.8381360.440555
[259rowsx14columns]
About
Where are Solar System objects located in TESS data?
Resources
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MIT license
Activity
Custom properties
Stars
2 stars
Watchers
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Forks
2 forks
Report repository
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Skip to content
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tess-ephem
Where are Solar System objects located in TESS FFI data?
pypipytestblackflake8mypy
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. The output pixel coordinates (column and row) follow the TESS convention, with (1,1) being the middle of the pixel in the lower left corner of the FFI. For example:
>>>fromtess_ephemimportephem>>>ephem("Sedna")
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2458438.55141543.1040211102.94835169.182738 ... 7.6496120.8031.4984.94753683.9810600.14662458439.55141544.9789691103.00070169.182758 ... 7.6472420.8021.4984.94676083.9788700.14352458440.55141546.8660071103.02741569.182777 ... 7.6450020.8011.4984.94598583.9773350.14122458441.55141548.7508851103.04024269.182797 ... 7.6428420.8011.4984.94520983.9763340.13972458442.55141550.6271991103.04402069.182818 ... 7.6407420.8011.4984.94443383.9758020.1393
... ... ... ... ... ... ... ... ... ... ... ... ... ...
2460254.571241984.5785781003.55588869.182570 ... 8.3608920.7501.4983.59274082.6617710.24402460255.571241984.8084841001.73704769.182584 ... 8.3580320.7491.4983.59201782.6566070.23472460256.571241985.037223999.91109169.182599 ... 8.3551720.7471.4983.59129482.6519200.22572460257.571241985.258387998.08471869.182615 ... 8.3523520.7451.4983.59057282.6477500.21682460258.571241985.462457996.27963869.182631 ... 8.3496420.7441.4983.58984982.6441490.2083
[75rowsx14columns]
The time is in the UT scale. To convert this to the TDB timescale, the column tdb-ut (offset in seconds) should be used.
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")
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2018-11-2117:35:00.0005141553.8584041103.03502769.182854 ... 7.6372120.8021.4984.9430983.9758940.1409>>>fromastropy.timeimportTime>>>ephem("Sedna", time=Time([2458441.5,2460258.5], format='jd'))
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2458441.55141548.7508851103.04024269.182797 ... 7.6428420.8011.4984.94520983.9763340.13972460258.571241985.462457996.27963869.182631 ... 8.3496420.7441.4983.58984982.6441490.2083
Orbital elements can be obtained by passing the orbital_elements=True parameter. The function returns the average orbital elements of the target during the queried time. Perihelion distance is in AU and orbital inclination is in degrees.
>>>df_ephem, orbital_elements=ephem("Sedna", time="2018-11-21 17:35:00", orbital_elements=True)
>>>orbital_elements
{'perihelion_distance': 76.13306961191206, 'eccentricity': 0.8413469227223953, 'orbital_inclination': 11.929585162007143}
You can alternatively obtain the ephemeris during a specific sector by passing
the sector parameter:
>>>ephem("Sedna", sector=70)
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2460208.570421965.9946391827.04967269.182409 ... 8.4948320.8151.4983.62600983.1719830.61842460209.570421966.3044671826.44241469.182402 ... 8.4924820.8141.4983.62528583.1561530.61372460210.570421966.6395791825.74319869.182395 ... 8.4898920.8131.4983.62456183.1402100.60852460211.570421966.9957171824.97590269.182389 ... 8.4871120.8121.4983.62383883.1244610.60292460212.570421967.3639621824.16006269.182383 ... 8.4842120.8111.4983.62311483.1089740.59702460213.570421967.7432471823.29943269.182377 ... 8.4812020.8101.4983.62239183.0937700.59082460214.570421968.1278561822.40226869.182372 ... 8.4781220.8091.4983.62166783.0788620.58452460215.570421968.5163591821.47063369.182367 ... 8.4749820.8081.4983.62094483.0642640.57792460216.570421968.9094791820.50791269.182363 ... 8.4717820.8061.4983.62022083.0499950.57122460217.570421969.3011391819.52067169.182359 ... 8.4685620.8051.4983.61949783.0360820.56442460218.570421969.6906291818.51436469.182355 ... 8.4653320.8041.4983.61877383.0225620.55752460219.570421970.0700961817.50477569.182353 ... 8.4621520.8031.4983.61805083.0094810.55042460220.570421970.4134471816.52739869.182350 ... 8.4592020.8021.4983.61732682.9967740.54352460221.570421970.6855941815.59304069.182349 ... 8.4566820.8001.4983.61660382.9836810.53692460222.570421970.9450961814.59045369.182347 ... 8.4541520.7991.4983.61587982.9698910.53012460223.570421971.2281101813.50506869.182347 ... 8.4514020.7981.4983.61515682.9561130.52282460224.570421971.5285841812.36114469.182347 ... 8.4484920.7961.4983.61443382.9425890.51522460225.570421971.8400951811.17239769.182347 ... 8.4454720.7951.4983.61370982.9293770.50742460226.570421972.1601451809.94465069.182348 ... 8.4423620.7941.4983.61298682.9164950.49932460227.570421972.4840841808.68240469.182350 ... 8.4391920.7921.4983.61226382.9039560.49112460228.570421972.8115651807.39280969.182352 ... 8.4359720.7911.4983.61153982.8917740.48272460229.570421973.1390071806.07660569.182354 ... 8.4327220.7901.4983.61081682.8799680.47422460230.570421973.4674941804.73887669.182358 ... 8.4294420.7881.4983.61009382.8685660.46572460231.570421973.7913051803.38789069.182361 ... 8.4261720.7871.4983.60937082.8576090.45702460232.570421974.1022221802.03774769.182365 ... 8.4229720.7851.4983.60864682.8471500.4483
When passing the sector parameter, the time_step is by default 1 day.
This can be changed as follows:
>>>ephem("Sedna", sector=70, time_step=0.1)
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2460207.670421965.6984671827.54320369.182416 ... 8.49697720.8159731.4983.62666083.1855190.6224232460207.770421965.7346581827.48731769.182415 ... 8.49672020.8160021.4983.62658883.1840490.6219562460207.870421965.7699861827.43201869.182415 ... 8.49646820.8160451.4983.62651583.1825730.6214972460207.970421965.8044111827.37718769.182414 ... 8.49622120.8160581.4983.62644383.1810910.6210462460208.070421965.8378891827.32270569.182413 ... 8.49598020.8160001.4983.62637083.1795990.620600
... ... ... ... ... ... ... ... ... ... ... ... ... ...
2460233.070421974.2483801801.37166769.182368 ... 8.42143020.7850001.4983.60828582.8421100.4440002460233.170421974.2756951801.24032069.182368 ... 8.42113420.7848861.4983.60821282.8411150.4431372460233.270421974.3021281801.10981569.182369 ... 8.42084420.7847071.4983.60814082.8401220.4422752460233.370421974.3276591800.98017669.182369 ... 8.42056020.7844861.4983.60806882.8391290.4414142460233.470421974.3522681800.85143069.182370 ... 8.42028220.7842431.4983.60799582.8381360.440555
[259rowsx14columns]
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tess-ephem
Where are Solar System objects located in TESS FFI data?
pypipytestblackflake8mypy
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. The output pixel coordinates (column and row) follow the TESS convention, with (1,1) being the middle of the pixel in the lower left corner of the FFI. For example:
>>>fromtess_ephemimportephem>>>ephem("Sedna")
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2458438.55141543.1040211102.94835169.182738 ... 7.6496120.8031.4984.94753683.9810600.14662458439.55141544.9789691103.00070169.182758 ... 7.6472420.8021.4984.94676083.9788700.14352458440.55141546.8660071103.02741569.182777 ... 7.6450020.8011.4984.94598583.9773350.14122458441.55141548.7508851103.04024269.182797 ... 7.6428420.8011.4984.94520983.9763340.13972458442.55141550.6271991103.04402069.182818 ... 7.6407420.8011.4984.94443383.9758020.1393
... ... ... ... ... ... ... ... ... ... ... ... ... ...
2460254.571241984.5785781003.55588869.182570 ... 8.3608920.7501.4983.59274082.6617710.24402460255.571241984.8084841001.73704769.182584 ... 8.3580320.7491.4983.59201782.6566070.23472460256.571241985.037223999.91109169.182599 ... 8.3551720.7471.4983.59129482.6519200.22572460257.571241985.258387998.08471869.182615 ... 8.3523520.7451.4983.59057282.6477500.21682460258.571241985.462457996.27963869.182631 ... 8.3496420.7441.4983.58984982.6441490.2083
[75rowsx14columns]
The time is in the UT scale. To convert this to the TDB timescale, the column tdb-ut (offset in seconds) should be used.
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")
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2018-11-2117:35:00.0005141553.8584041103.03502769.182854 ... 7.6372120.8021.4984.9430983.9758940.1409>>>fromastropy.timeimportTime>>>ephem("Sedna", time=Time([2458441.5,2460258.5], format='jd'))
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2458441.55141548.7508851103.04024269.182797 ... 7.6428420.8011.4984.94520983.9763340.13972460258.571241985.462457996.27963869.182631 ... 8.3496420.7441.4983.58984982.6441490.2083
Orbital elements can be obtained by passing the orbital_elements=True parameter. The function returns the average orbital elements of the target during the queried time. Perihelion distance is in AU and orbital inclination is in degrees.
>>>df_ephem, orbital_elements=ephem("Sedna", time="2018-11-21 17:35:00", orbital_elements=True)
>>>orbital_elements
{'perihelion_distance': 76.13306961191206, 'eccentricity': 0.8413469227223953, 'orbital_inclination': 11.929585162007143}
You can alternatively obtain the ephemeris during a specific sector by passing
the sector parameter:
>>>ephem("Sedna", sector=70)
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2460208.570421965.9946391827.04967269.182409 ... 8.4948320.8151.4983.62600983.1719830.61842460209.570421966.3044671826.44241469.182402 ... 8.4924820.8141.4983.62528583.1561530.61372460210.570421966.6395791825.74319869.182395 ... 8.4898920.8131.4983.62456183.1402100.60852460211.570421966.9957171824.97590269.182389 ... 8.4871120.8121.4983.62383883.1244610.60292460212.570421967.3639621824.16006269.182383 ... 8.4842120.8111.4983.62311483.1089740.59702460213.570421967.7432471823.29943269.182377 ... 8.4812020.8101.4983.62239183.0937700.59082460214.570421968.1278561822.40226869.182372 ... 8.4781220.8091.4983.62166783.0788620.58452460215.570421968.5163591821.47063369.182367 ... 8.4749820.8081.4983.62094483.0642640.57792460216.570421968.9094791820.50791269.182363 ... 8.4717820.8061.4983.62022083.0499950.57122460217.570421969.3011391819.52067169.182359 ... 8.4685620.8051.4983.61949783.0360820.56442460218.570421969.6906291818.51436469.182355 ... 8.4653320.8041.4983.61877383.0225620.55752460219.570421970.0700961817.50477569.182353 ... 8.4621520.8031.4983.61805083.0094810.55042460220.570421970.4134471816.52739869.182350 ... 8.4592020.8021.4983.61732682.9967740.54352460221.570421970.6855941815.59304069.182349 ... 8.4566820.8001.4983.61660382.9836810.53692460222.570421970.9450961814.59045369.182347 ... 8.4541520.7991.4983.61587982.9698910.53012460223.570421971.2281101813.50506869.182347 ... 8.4514020.7981.4983.61515682.9561130.52282460224.570421971.5285841812.36114469.182347 ... 8.4484920.7961.4983.61443382.9425890.51522460225.570421971.8400951811.17239769.182347 ... 8.4454720.7951.4983.61370982.9293770.50742460226.570421972.1601451809.94465069.182348 ... 8.4423620.7941.4983.61298682.9164950.49932460227.570421972.4840841808.68240469.182350 ... 8.4391920.7921.4983.61226382.9039560.49112460228.570421972.8115651807.39280969.182352 ... 8.4359720.7911.4983.61153982.8917740.48272460229.570421973.1390071806.07660569.182354 ... 8.4327220.7901.4983.61081682.8799680.47422460230.570421973.4674941804.73887669.182358 ... 8.4294420.7881.4983.61009382.8685660.46572460231.570421973.7913051803.38789069.182361 ... 8.4261720.7871.4983.60937082.8576090.45702460232.570421974.1022221802.03774769.182365 ... 8.4229720.7851.4983.60864682.8471500.4483
When passing the sector parameter, the time_step is by default 1 day.
This can be changed as follows:
>>>ephem("Sedna", sector=70, time_step=0.1)
sectorcameraccdcolumnrowtdb-ut ... decvmaghmagsun_distanceobs_distancesto_angletime ...
2460207.670421965.6984671827.54320369.182416 ... 8.49697720.8159731.4983.62666083.1855190.6224232460207.770421965.7346581827.48731769.182415 ... 8.49672020.8160021.4983.62658883.1840490.6219562460207.870421965.7699861827.43201869.182415 ... 8.49646820.8160451.4983.62651583.1825730.6214972460207.970421965.8044111827.37718769.182414 ... 8.49622120.8160581.4983.62644383.1810910.6210462460208.070421965.8378891827.32270569.182413 ... 8.49598020.8160001.4983.62637083.1795990.620600
... ... ... ... ... ... ... ... ... ... ... ... ... ...
2460233.070421974.2483801801.37166769.182368 ... 8.42143020.7850001.4983.60828582.8421100.4440002460233.170421974.2756951801.24032069.182368 ... 8.42113420.7848861.4983.60821282.8411150.4431372460233.270421974.3021281801.10981569.182369 ... 8.42084420.7847071.4983.60814082.8401220.4422752460233.370421974.3276591800.98017669.182369 ... 8.42056020.7844861.4983.60806882.8391290.4414142460233.470421974.3522681800.85143069.182370 ... 8.42028220.7842431.4983.60799582.8381360.440555
[259rowsx14columns]
About
Where are Solar System objects located in TESS data?
Resources
Readme
MIT license
Activity
Custom properties
Stars
2 stars
Watchers
4 watching
Forks
2 forks
Report repository
Releases
Packages
Contributors
Languages