tess-locator 0.2.1

Installation

python -m pip install tess-locator

Example use

Converting celestial to pixel coordinates:

>>> from tess_locator import locate
>>> locate("Alpha Cen")
List of 2 coordinates
↳[TessCoord(sector=11, camera=2, ccd=2, column=1700.2, row=1860.3, time=None)
  TessCoord(sector=12, camera=2, ccd=1, column=360.7, row=1838.8, time=None)]

Obtaining pixel coordinates for a specific time:

>>> locate("Alpha Cen", time="2019-04-28")
List of 1 coordinates
↳[TessCoord(sector=11, camera=2, ccd=2, column=1700.2, row=1860.3, time=2019-04-28 00:00:00)]

Obtaining FFI image meta data:

>>> locate("Alpha Cen")[0].get_images()
List of 1248 images
↳[TessImage(filename='tess2019113062933-s0011-2-2-0143-s_ffic.fits', begin='2019-04-23 06:34:41', end='2019-04-23 07:04:41')
  TessImage(filename='tess2019113065933-s0011-2-2-0143-s_ffic.fits', begin='2019-04-23 07:04:41', end='2019-04-23 07:34:41')
  TessImage(filename='tess2019113072933-s0011-2-2-0143-s_ffic.fits', begin='2019-04-23 07:34:41', end='2019-04-23 08:04:41')
  TessImage(filename='tess2019113075933-s0011-2-2-0143-s_ffic.fits', begin='2019-04-23 08:04:41', end='2019-04-23 08:34:41')
  ...
  TessImage(filename='tess2019140065932-s0011-2-2-0143-s_ffic.fits', begin='2019-05-20 07:05:08', end='2019-05-20 07:35:08')
  TessImage(filename='tess2019140072932-s0011-2-2-0143-s_ffic.fits', begin='2019-05-20 07:35:08', end='2019-05-20 08:05:08')
  TessImage(filename='tess2019140075932-s0011-2-2-0143-s_ffic.fits', begin='2019-05-20 08:05:08', end='2019-05-20 08:35:08')
  TessImage(filename='tess2019140082932-s0011-2-2-0143-s_ffic.fits', begin='2019-05-20 08:35:08', end='2019-05-20 09:05:08')]

Documentation

Please visit the tutorial.

Similar packages

• tess-point uses a theoretical pointing model rather than the WCS data. It should agree with the WCS results to within 1-2 pixels. Compared to tess-point, we add a user-friendly API and the ability to specify the time, which is important for moving objects.

• astroquery.mast includes the excellent TesscutClass.get_sectors() method which queries a web API. This package provides an offline version of that service, and adds the ability to query by time.

• tess-waldo lets you visualize how a target moves over the detector across sectors. It queries the TessCut service to obtain this information. This package adds the ability to create such plots offline.