• Model channel maps from molecular line emission of discs by fitting intensity and rotation velocity
• Study 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
• Analyse the disc dynamical structure by modelling Keplerian motion + pressure support + self-gravity at once
• Identify velocity and intensity substructures; study their coherence and degree of localisation
• Non-axisymmetric models are possible; all attributes can be described as a function of $R,\phi,z$ disc coords

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

• 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 to brightness temperature units.
• Quickly visualise model versus data channels and interactively extract spectra.

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

• Identify small-scale velocity and intensity perturbations, and estimate their localisation degree.

• Customise intensity channels and residual maps, and highlight coherent and localised perturbations.
• Use sky or disc projections interchangeably for easier visualisation of features.
• Easily overlay the disc geometry (orientation and vertical structure) on any observable product.
• Overlay 1D profiles or 2D maps from external data to e.g. highlight the presence of dust substructures.

pip install discminer

To upgrade the code,

pip install -U discminer

• termtables
• termplotlib
• FilFinder
• schwimmbad
• ipython

The package documentation is still under construction, but you can find practical examples demonstrating the main functionality of the code in the ./template folder of this repository.

To run the examples on your local machine you can 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

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}
}