Discminer
Parametric modelling of intensity channel maps from gas discs
Install / Use
/learn @andizq/DiscminerREADME
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<h2 align="center">The Channel Map Modelling Code</h2>
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Welcome to the discminer repository! Looking for quick examples and tutorials? Check out the <mark>example/</mark> folder.
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- 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
pip install discminer
To upgrade the code,
pip install -U discminer
Optional dependencies
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,
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,
@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}
}
