| Name | tesswcs JSON |
| Version |
1.1.7
JSON |
| download |
| home_page | None |
| Summary | None |
| upload_time | 2024-08-28 18:39:07 |
| maintainer | None |
| docs_url | None |
| author | Christina Hedges |
| requires_python | <4.0,>=3.9 |
| license | None |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
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No Travis.
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[](https://badge.fury.io/py/tesswcs)
<p align="center">
<img src="https://github.com/tessgi/tesswcs/blob/main/docs/images/logo.png?raw=true" width="350" alt="tesswcs logo">
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# tesswcs
This package will enable you to create an [`astropy` World Coordinate System](https://docs.astropy.org/en/stable/wcs/) 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
```python
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
```python
wcs.pixel_to_world(row, column)
```
or obtain row and column positions from sky positions (using the `astropy.coordinates.SkyCoord` object).
```python
from astropy.coordinates import SkyCoord
wcs.world_to_pixel(SkyCoord.from_name("HD 209458"))
```
You can also save these objects to fits files
```python
wcs.to_fits('wcs.fits')
```
If you have a RA, Dec and roll in degrees you can also predict a WCS
```python
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!
Raw data
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