semvec/pypi-packages huggingface dataset:
tesscentroidvetting 1.4.0
TESS Centroid Vetting
Keywords: TESS, centroids, exoplanets, PRF, vetting, transits, python

# TESS centroid_vetting

Attempt to make a centroid vetting function graphically similar to the one used in the DV reports of TCE's produced by the TESS Science Processing Pipeline.<br/>
This centroid presentation allows to identify the source of the dips in a lightcurve, discarding eventual false positives and identifying possible sources of contamination.

![Img](https://github.com/exo-pt/TESS-Centroid_vetting/blob/main/tesscentroidvetting_example.png?raw=true)

## Installation
Since version 1.2.0, a package is available at PyPi.<br>
So, the simplest way of installing TESS-Centroid_Vetting is using pip:

`pip install tesscentroidvetting`

## Dependencies:
- numpy
- matplotlib
- astropy
- astroquery
- scipy
- lightkurve
- ipywidgets - only needed if interact=True in show_transit_margins()

## Usage
See the notebooks in Examples directory for usage.

## Acknowledgments
Sam Lee (https://github.com/orionlee) for implementing star's proper motion correction and transit margins display function, advising and testing. 
<br><br>
mkunimoto (https://github.com/mkunimoto) for writing **TESS-Plots**, whose code was used for the PRF centroid calculation.
<br><br>
Last but not least, Nora Eisner for [Planet Hunters Coffee Chat](https://github.com/noraeisner/PH_Coffee_Chat) series, introducing python for exoplanet detection (the difference image calculation was first borrowed from there), and for [Planet Hunters TESS](https://www.zooniverse.org/projects/nora-dot-eisner/planet-hunters-tess) citizen project, whose community [forum](https://www.zooniverse.org/projects/nora-dot-eisner/planet-hunters-tess/talk) is an invaluable source of knowledge and place to exchange views between amateurs and experts.

## Contributors
Rafael Rodrigues, Sam Lee
epsf 0.1.0
Bayesian effective PSF modelling
Requires Python: >=3.10

# epsf: Bayesian Effective PSF Modelling

`epsf` is a framework to easily build and model effective PSFs with Python.
It uses PSF models from [`JWST1PASS`](https://www.stsci.edu/~jayander/JWST1PASS/) and the [`simpple`](https://simpple.readthedocs.io) to build PSF models for JWST observations.

Take a look at the documentation for more information: <https://epsf.readthedocs.io>
plotlines 0.5.0
Create and display Story structure.
Requires Python: >=3.12

Plotlines
=========

`Plotlines` is a tool to help create online choice-based narratives.

Authors create a basic story structure in [Inkscape](https://inkscape.org/).
Plotlines will read the SVG file and generate templates for HTML5 output.

Works-in-progress can be saved in human-readable [TOML](https://toml.io/en/) files.
This format is better suited to collaborative editing.

Workflow
--------

Inkscape's *Connectors* tool makes it easy to design a branching narrative structure.

![Story board](./plotlines/test/data/spiki-demo_n51.svg)

You can capture ideas in the `title` and `description` fields of both nodes and edges using the *Object Properties*
editor.

When that phase is complete, you use **Plotlines** to save the structure as a `.toml` file where the serious process of writing and editing begins.

Finally, you can export to a template tree ready for [Spiki](https://pypi.org/project/spiki/) to generate the HTML
suitable for a static web site on the Internet.

Features
--------

Plotlines can import SVG from either of these editors:
+ [Dunnart](https://github.com/mjwybrow/dunnart)
+ [Inkscape](https://inkscape.org/)

Mode of use                                     | CLI options               |   Progress        |   Status
------------------------------------------------|---------------------------|-------------------|-------
Auto-generation of plot structures              | Omit `-i` option          |   Ongoing         | :x:
Convert Dunnart files to TOML format            | `-i <file>.svg -o .toml`  |   Complete        | :ok:
Convert Inkscape files to TOML format           | `-i <file>.svg -o .toml`  |   Complete        | :ok:
Load and plot a file in TOML format             | `-i <file>.toml`          |   Complete        | :ok:
Load file and generate a Spiki template tree    | `-i <file>.toml -o <dir>` |   Complete        | :ok:


Usage
-----

```
python3 -m plotlines.main --help
usage: python -m plotlines.main [-h] [--debug] [-i INPUT] [-o OUTPUT] [--ending ENDING] [--limit LIMIT] [--exits EXITS]

options:
  -h, --help            show this help message and exit
  --debug               Display debug information
  -i, --input INPUT     Specify an input file
  -o, --output OUTPUT   Specify an output file or directory
  --ending ENDING       Set the number of endings [4].
  --limit LIMIT         Limit the number of Nodes and Edges in the graph [100]
  --exits EXITS         Fix the number of exiting Edges from each Node [4]
```