Metadata-Version: 2.1
Name: discminer
Version: 0.4.22
Summary: Python package for parametric modelling of intensity channel maps from gas discs
Home-page: https://github.com/andizq/discminer
Author: Andres F. Izquierdo
Author-email: andres.izquierdo.c@gmail.com
Project-URL: Bug Reports, https://github.com/andizq/discminer/issues
Project-URL: Source, https://github.com/andizq/discminer/
Keywords: astronomy,discs,disks,planets,detection
Classifier: Development Status :: 4 - Beta
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6, <4
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.18
Requires-Dist: scipy>=1.5
Requires-Dist: matplotlib>=3.0
Requires-Dist: astropy>=3
Requires-Dist: emcee>=3
Requires-Dist: corner
Requires-Dist: cmasher
Requires-Dist: radio-beam
Requires-Dist: scikit-image
Requires-Dist: scikit-learn
Requires-Dist: spectral-cube>=0.6
Requires-Dist: packaging>=20.9
Requires-Dist: termtables
Requires-Dist: pathos

<p align="center">
<img src="https://raw.githubusercontent.com/andizq/andizq.github.io/master/discminer/discminer_logo.jpeg" width="500" height="" ></p>

<h2 align="center">The Channel Map Modelling Code</h2>

<div align="center">
<a href="https://github.com/andizq/discminer/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/badge/license-MIT-FEE440.svg?style=for-the-badge"></a>
<a href="https://github.com/andizq/discminer/pulls"><img alt="Pull request?" src="https://img.shields.io/badge/Become%20a-miner%20%e2%9a%92-00BBF9.svg?style=for-the-badge"></a>
<a href="https://github.com/andizq"><img alt="andizq" src="https://img.shields.io/badge/with%20%e2%99%a1%20by-andizq-ff1414.svg?style=for-the-badge"></a>
<a href="https://github.com/psf/black"><img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg?style=for-the-badge"></a>
</div>


<div align="center">
  Welcome to the discminer repository! Looking for quick examples and tutorials? Check out the <mark>example/</mark> folder.
  <br />
  <a href="https://github.com/andizq/discminer/issues/new?assignees=&labels=bug&title=bug%3A+">Report a Bug</a>
  ·
  <a href="https://github.com/andizq/discminer/issues/new?assignees=&labels=enhancement&title=feature%3A+">Request a Feature</a>
  ·
  <a href="https://github.com/andizq/discminer/issues/new?assignees=&labels=question&title=question%3A+">Ask a Question</a>
</div>

- Model channel maps from molecular line emission of discs by fitting intensity **and** rotation velocity
- Analyse the disc's dynamics by modelling Keplerian motion, and optionally pressure support + self-gravity
- Investigate the disc vertical structure by modelling front and back side emission surfaces
- Compute moment maps that accurately capture complex line profile morphologies
- Extract rotation curves, radial and meridional velocities, intensity, and line width profiles
- Identify velocity and intensity substructures, and examine their coherence and degree of localisation
- Support non-axisymmetric models; all attributes can be described in three-dimensional coordinates


<img
  src="images/discminer_outline.png"
  alt="Discminer workflow and capabilities"
  style="display: inline-block; margin: 0 auto; max-width: 500px">

## Mining tools

Discminer offers a wide range of analysis and visualisation tools to fully explore the physical and dynamical structure of discs.


### cube

- Compute moment maps that accurately capture complex line profile morphologies.
- Output moment maps include **peak intensity**, **line width**, **line slope**, and **centroid velocity**.
- Easily clip, downsample, and convert data to brightness temperature units.
- Quickly visualise model versus data channels and interactively extract spectra.

### rail

- Extract azimuthal and radial profiles of intensity, line width, and velocity from moment maps.
- Compute rotation curves and decompose disc velocities into their three-dimensional components.
- Identify large-scale structures and quantify their pitch angle, width, extent, and degree of coherence.

### pick

- Identify small-scale perturbations and estimate their degree of localisation.

### plottools

- Customise intensity channels, moments, and residual maps.
- Use sky or disc projections interchangeably for improved visualisation of features.
- Easily overlay disc geometry (considering orientation and vertical structure) onto any observable product.
- Load in 1D profiles or 2D maps from external data e.g. to highlight the presence of dust substructures.


## Installation

```bash
pip install discminer
```

To upgrade the code,

```bash
pip install -U discminer
```

#### Optional dependencies

- [termplotlib](https://pypi.org/project/termplotlib)
- [FilFinder](https://pypi.org/project/fil-finder)
- [bettermoments](https://bettermoments.readthedocs.io/en/latest/)
- [schwimmbad](https://pypi.org/project/schwimmbad)
- [ipython](https://ipython.readthedocs.io/en/stable)


## How to use

You can find practical examples demonstrating the main functionality of the code in the `./example` folder of this repository.

To run the examples on your local machine, clone this repository and follow the instructions provided in the README file,

```bash
git clone https://github.com/andizq/discminer.git
cd discminer/template
less README.rst
```

## Citation

If you find `discminer` useful for your research please cite the work of [Izquierdo et al. 2021](https://ui.adsabs.harvard.edu/abs/2021A%26A...650A.179I/abstract),

```latex
@ARTICLE{2021A&A...650A.179I,
       author = {{Izquierdo}, A.~F. and {Testi}, L. and {Facchini}, S. and {Rosotti}, G.~P. and {van Dishoeck}, E.~F.},
        title = "{The Disc Miner. I. A statistical framework to detect and quantify kinematical perturbations driven by young planets in discs}",
      journal = {\aap},
     keywords = {planet-disk interactions, planets and satellites: detection, protoplanetary disks, radiative transfer, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Solar and Stellar Astrophysics},
         year = 2021,
        month = jun,
       volume = {650},
          eid = {A179},
        pages = {A179},
          doi = {10.1051/0004-6361/202140779},
archivePrefix = {arXiv},
       eprint = {2104.09596},
 primaryClass = {astro-ph.EP},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2021A&A...650A.179I},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
```
