Skip to main content

No project description provided

Project description

Test status Generic badge PyPI version

tesswcs logo

tesswcs

This package will enable you to create an astropy World Coordinate System for any pointing of the TESS telescope. You can access both the true WCS from archival data, and predict the WCS for a given RA, Dec, and spacecraft roll.

Installation

You can install tesswcs using pip

pip install --upgrade tesswcs

Usage

Below is an example of how to obtain a WCS for archival data

import tesswcs

wcs = tesswcs.WCS.from_archive(sector=1, camera=1, ccd=1)

Using astropy's WCS interface you can now either work with this object, for example you can obtain the sky position of row and column positions

wcs.pixel_to_world(row, column)

or obtain row and column positions from sky positions (using the astropy.coordinates.SkyCoord object).

from astropy.coordinates import SkyCoord
wcs.world_to_pixel(SkyCoord.from_name("HD 209458"))

You can also save these objects to fits files

wcs.to_fits('wcs.fits')

If you have a RA, Dec and roll in degrees you can also predict a WCS

import tesswcs

wcs = tesswcs.WCS.predict(ra=0, dec=0, roll=0, camera=1, ccd=1)

You can use tesswcs to better understand what sources will be obervable on TESS pixels, or to make figures like the ones below!

Figure showing the predicted TESS WCS

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tesswcs-1.1.3.tar.gz (890.7 kB view details)

Uploaded Source

Built Distribution

tesswcs-1.1.3-py3-none-any.whl (890.5 kB view details)

Uploaded Python 3

File details

Details for the file tesswcs-1.1.3.tar.gz.

File metadata

  • Download URL: tesswcs-1.1.3.tar.gz
  • Upload date:
  • Size: 890.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.9.13 Darwin/23.5.0

File hashes

Hashes for tesswcs-1.1.3.tar.gz
Algorithm Hash digest
SHA256 8a84ccdcc03c08aba6a33f6cdf921c1656919d064befd386d81f9254769cf95d
MD5 1819c9aebb0d4153152d968e226e5e69
BLAKE2b-256 0f08b6d6eb5f707581ce4eb4c5e56a4ddb39509f3a1d11c166ad58e0c6411c51

See more details on using hashes here.

Provenance

File details

Details for the file tesswcs-1.1.3-py3-none-any.whl.

File metadata

  • Download URL: tesswcs-1.1.3-py3-none-any.whl
  • Upload date:
  • Size: 890.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.9.13 Darwin/23.5.0

File hashes

Hashes for tesswcs-1.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 9a183085b6dd5c6c660b765a315c35a92656129240d282dfbb60a1c0a24de469
MD5 a38a68423a6d288ca1f18448b9a89502
BLAKE2b-256 604542f1d6b7f115bb10c946934257e1ae56820a7a2a029d6e3512d76b8f58fd

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page