allegrosoftwarerepo:index
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Table of Contents
Allegro Software Repository
Scientific exploration of ALMA observations does not stop when an image is produced: there exists a wide range of tools that can be used to further explore your ALMA data, plot and inspect parts of your ALMA data, and compare your ALMA data to models of astrophysical objects. Many of the tools that are developed by the scientific community are publicly available.
To help ALMA users navigate the many options and find tools that they may not even know exist, Allegro, with the help of the European ARC node network, has developed an interactive inventory to ALMA-related software. This inventory is not intended to be complete and will always keep growing. If you know of useful tools to be added, or find an inaccuracy, please contact us at alma@strw.leidenunv.nl.
For each piece of software we list the name of the piece of software along with a link to its website, a short description taken from the software's website, a description of experience with the software within the ARC nodes, a list of tags for the software and notes about the software. More information about the ARC Nodes experience field and the Tags field is provided below.
ARC Nodes experience
For each piece of software in the catalogue, a descriptor of the current status of how recently experience has been reported with the software by staff in the ARC Nodes is given in the “Status” column. The different statuses are as follows:
- Recent experience (<1 year ago) at the ARC nodes
- Experience 1-2 years ago at the ARC nodes
- Experience >2 years ago at the ARC nodes
- No or uncertain experience at the ARC nodes
Staff at the ARC nodes are less likely to have experience with software with a status further down this list.
List of software
This is a searchable and sortable table of software listed in the software repository. Click on the arrows next to column titles to sort by that column. You can also use the search box to filter the content, for example try searching Working recently to see only working software that is listed as working recently. Software is also tagged with a number of properties that you can search by, for example try searching #visualisation to see software that can be used for visualisation.
The full list of tags is: #analysis, #archive, #calibration, #CASA, #datacubes, #GILDAS, #GPU_computing, #modeling, #modelling, #moments, #observing, #polarisation, #polarization, #python, #simulation, #visibilities, #visualisation, #visualization, #VLBI
There are currently 42 pieces of software in the repository.
Filter:
| Software | Description | ARC Node experience Status | Tags | Notes |
|---|---|---|---|---|
| 3D-Barolo | 3D-Barolo (3D-Based Analysis of Rotating Object via Line Observations) or BBarolo is a tool for fitting 3D tilted-ring models to emission-line data-cubes. | No or uncertain experience | #analysis #datacubes #modeling #modelling #python | A paper on the tool can be found at https://ui.adsabs.harvard.edu/abs/2015MNRAS.451.3021D/abstract |
| ADMIT | The ALMA Data Mining Toolkit (ADMIT) is a value-added Python software package which integrates with the ALMA archive and CASA to provide scientists with quick access to traditional science data products such as moment maps, as well as with new innovative tools for exploring data cubes and their many derived products. | No or uncertain experience | #archive #CASA #python | |
| ALMA FITS Keywords filler | The ALMA Keywords Filler (AKF) CASA task is build to generate and eventually ingest in the headers the new FITS keywords that we suggest could be useful for a generic ALMA archive miner. | No or uncertain experience | #archive #CASA #python | The AKF command functions as a normal CASA function, typing inp(AKF) will show input options. A CASA memo on the tool can be accessed at https://www.alma.inaf.it/images/AKF_v1.2.pdf |
| ALMA Observing Tool | The ALMA Observing Tool (OT) is a Java desktop application used for the preparation and submission of ALMA Phase 1 proposals and, for those which are accepted, Phase 2 materials (Scheduling Blocks). It is also used for preparing and submitting Director's Discretionary Time (DDT) proposals and Supplemental Call (ACA stand-alone) proposals. | Recent experience | #observing | |
| ALminer | alminer is a Python-based code to effectively query, analyse, and visualize the ALMA science archive. It also allows users to directly download ALMA data products and/or raw data for further image processing. | Recent experience | #archive #python #visualisation #visualization | There is an online tutorial notebook that showcases alminer's various functions with examples. There is an I-TRAIN training avaliable for ALminer, with recording of the session avaliable as a YouTube video. Full details can be found on I-TRAIN website under the heading I-TRAIN #8: Exploring the ALMA Science Archive with ALminer |
| APSYNSIM | Aperture Synthesis Simulator for Radio Astronomy. Based on python/matplotlib, it is fully interactive and the plots are updated almost in real time. Antennas can be dragged with the mouse. Number of antennas, observing frequency, observatory-source coordinates, visibility weighting, etc. can be changed on the fly. | No or uncertain experience | #python #simulation | An arXiv paper on the tool can be found at https://ui.adsabs.harvard.edu/abs/2017arXiv170600936M/abstract |
| ARTIST | ARTIST (Adaptable Radiative Transfer Innovations for Submillimeter Telescopes) is a set of two CASA tools that allow you to select one of nine pre-coded astrophysical models describing young stellar objects, planet forming disks, or circumstellar shells; adapt the parameters of these models; calculate the excitation of a user-selected molecule using the LIME (LIne Modeling Engine) accelerated monte-carlo code; and calculate the (sub) millimeter line emission of this object at a specified distance and orientation. | Experience >2 years ago | #CASA #modeling #modelling #python | |
| ASTRO | Dedicated to ephemeris and observation preparation. | Recent experience | #GILDAS #observing | |
| Astroquery | Astroquery is a set of tools for querying astronomical web forms and databases. | Recent experience | #archive #python | |
| Better Moments | bettermoments creates moment maps of spectral line data and their associated uncertainties. The command-line interface makes it as seamless as possible to make all the traditional moment maps, in addition other, oftentimes more useful, maps. In addition to the many traditional statistical moments, bettermoments contains many alternative ways collapse the cube. | No or uncertain experience | #datacubes #moments #python | |
| CARTA | Cube Analysis and Rendering Tool for Astronomy, is a next generation image visualization and analysis tool designed for ALMA, VLA, and SKA pathfinders. | Recent experience | #datacubes #python #visualisation #visualization | There is an I-TRAIN training avaliable for LineStacker, with recording of the session avaliable as a YouTube video. Full details can be found on the I-TRAIN website under the heading I-TRAIN #12: CARTA tutorial |
| CASA | CASA, the Common Astronomy Software Applications, is the primary data processing software for the Atacama Large Millimeter/submillimeter Array (ALMA) and Karl G. Jansky Very Large Array (VLA), and is often used also for other radio telescopes. | Recent experience | #calibration #CASA #datacubes #moments #python #visibilities | |
| CASAIRING | Simple task to compute radial profiles of images (and image cubes). It generates plots and ascii files with the profile values. | Recent experience | #CASA #python | The casairing command functions as a normal CASA function, typing inp(casairing) will show input options and help casairing will some some example of how to use the function. |
| CASSIS | A free interactive spectrum analyser. | Recent experience | #modeling #modelling #simulation | Allegro has developed a simple cookbook that describes how to use CASSIS with a special emphasis on ALMA observations. It can be accessed from this link. |
| CHECKRES | CASA interactive task for a quick check of image residuals, but in Fourier space. It overplots the UV tracks of the baselines corresponding to selected antennas, so it should be easy to locate the antennas (and/or baselines) responsible of dynamic-range limitations. | Recent experience | #CASA #python | The checkres command functions as a normal CASA function, typing inp(checkres) will show input options. |
| closures | CASA task to plot closure phases (or amplitudes) vs. time or frequency. | Recent experience | #CASA #python | The closures command functions as a normal CASA function, typing inp(closures) will show input options. |
| FAKEOBS | FAKEOBS is a CASA task to generate model visibilities from already-existing measurement sets. | Recent experience | #CASA #python #simulation | The fakeobs command functions as a normal CASA function, typing inp(fakeobs) will show input options. |
| galario | galario is a library that exploits the computing power of modern graphic cards (GPUs) to accelerate the comparison of model predictions to radio interferometer observations. | No or uncertain experience | #GPU_computing #modeling #modelling #python #visibilities | |
| Glue | Glue is an open-source Python library to explore relationships within and between related datasets | No or uncertain experience | #python #visualisation #visualization | |
| GoFish | No or uncertain experience | #python | A paper on the tool can be found at https://ui.adsabs.harvard.edu/abs/2019JOSS....4.1632T/abstract | |
| Interferopy | A Python library of common tasks used in the observational radio/mm interferometry data analysis. The package was developed to aid in the studies of the interstellar medium in high-redshift quasar host galaxies using emission lines, as well as to create publication quality plots. | No or uncertain experience | #python #visualisation #visualization | |
| jupyter-casa | A Jupyter kernel for CASA. | No or uncertain experience | #CASA #python | |
| LIME | LIME is a 3D molecular excitation and radiation transfer code for far-infrared and (sub-)millimeter wavelength. LIME will calculate spectra of rotational transitions of atoms and molecules, given a user-supplied physical model. | Experience >2 years ago | #modeling #modelling | A paper on the tool can be found at https://ui.adsabs.harvard.edu/abs/2010A%26A...523A..25B/abstract |
| LineStacker | LineStacker is a new open access tool for stacking of spectral lines. LineStacker is an ensemble of both CASA tasks and native python tasks, and can stack both 3Dcubes or already extracted spectra. Additionaly a set of tools are included to help further analyse stacked spectra and stacked sample. | No or uncertain experience | #analysis #python | There is an I-TRAIN training avaliable for LineStacker, with a recording of the session avaliable as a YouTube video. Full details can be found on the I-TRAIN website under the heading I-TRAIN #9: Stacking spectra in the image domain with LineStacker. |
| MAPPING | Dedicated to imaging and deconvolution of aperture synthesis data; MAPPING also includes an ALMA simulator. | Recent experience | #GILDAS #visibilities #visualisation #visualization | |
| Molecular EMissiOn IdentifieR (MEMOIR) | MEMOIR detects the lines present in a spectrum and identifies them by comparing their frequencies against those of known-lines. | No or uncertain experience | #analysis #python | |
| Photutils | Photutils is an affiliated package of Astropy that primarily provides tools for detecting and performing photometry of astronomical sources. | No or uncertain experience | #analysis #python | |
| PolConvert | Advanced polarization calibration of linear feeds in VLBI observations. | No or uncertain experience | #calibration #polarisation #polarization #python #VLBI | |
| POLSIMULATE | CASA task for a basic simulator of ALMA/J-VLA full-polarization observations. | Recent experience | #CASA #polarisation #polarization #python #simulation | The polsimulate command functions as a normal CASA function, typing inp(polsimulate) will show input options. |
| Position-Velocity Slice Extractor | The concept of the pvextractor package is simple - given a path defined in sky coordinates, and a spectral cube, extract a slice of the cube along that path, and along the spectral axis, producing a position-velocity or position-frequency slice. | No or uncertain experience | #datacubes #python #visualisation #visualization | |
| pyuvdata | pyuvdata defines a pythonic interface to interferometric data sets. Currently pyuvdata supports reading and writing of miriad, uvfits, CASA measurement sets and uvh5 files and reading of FHD (Fast Holographic Deconvolution) visibility save files, SMA Mir files and MWA correlator FITS files. | No or uncertain experience | #python #visibilities | |
| RADEX | Radex is a computer program to calculate the strengths of atomic and molecular lines from interstellar clouds which are assumed to be homogeneous. | No or uncertain experience | #modeling #modelling #simulation | A paper on the tool can be found at https://ui.adsabs.harvard.edu/abs/2007A%26A...468..627V/abstract |
| Radio Beam | A simple toolkit for reading and manipulating beams from astrophysical radio spectral data cubes. | No or uncertain experience | #python | |
| RADMC3D | RADMC-3D is a code package for diagnostic radiative transfer calculations in astronomy and astrophysics. It calculates, for a given geometrical distribution of gas and/or dust, what its images and/or spectra look like when viewed from a certain angle, allowing modelers to compare their models with observed data. | No or uncertain experience | #python #simulation | |
| SD2vis | CASA task to generate synthetic visibilities based on a Total-Power (Single Dish) image. | Recent experience | #CASA #python #simulation #visibilities | The SD2vis command functions as a normal CASA function, typing inp(SD2vis) will show input options. |
| Spectral Cube | The spectral-cube package provides an easy way to read, manipulate, analyze, and write data cubes with two positional dimensions and one spectral dimension, optionally with Stokes parameters. | Recent experience | #datacubes #moments #python | |
| STACKER | STACKER is a library for stacking sources in interferometric data, i.e., averaging emission from different sources. The library allows stacking to be done directly on visibility data as well as in the image domain. | No or uncertain experience | #analysis #python #visibilities | |
| STATCONT | STATCONT is a python-based tool designed to determine the continuum emission level in line-rich spectral data. The tool inspects the intensity distribution of a given spectrum and automatically determines the continuum level by using different statistical approaches. | No or uncertain experience | #python | There is an I-TRAIN training avaliable for LineStacker, with a recording of the session avaliable as a YouTube video. Full details can be found on the I-TRAIN website under the heading I-TRAIN #11: Statistical continuum determination with STATCONT |
| uvmultifit | A CASA-based flexible visibility-fitting engine developed at the Nordic node of the ALMA Regional Center. | Recent experience | #CASA #python #visibilities | There is an I-TRAIN training avaliable for uvmultifit, with recording of the session avaliable as a YouTube video. Full details can be found on I-TRAIN website under the heading I-TRAIN #3: UVMultiFit |
| UVPLOT | A simple Python package to make nice plots of deprojected interferometric visibilities, often called uvplots. | No or uncertain experience | #python #visibilities | Some functionality is only available if imported within CASA |
| WVR Scaling Module | Software package to optimise the application of the WVR solutions for ALMA Observations. | No or uncertain experience | #calibration #CASA #python | Requires astropy version 1.3.3 and CASA < 5.0 (CASA 4.7.2 is the latest working version). A paper on the tool can be found at https://ui.adsabs.harvard.edu/abs/2017A%26A...605A.121M/abstract |
| XCLASS | A toolbox for the Common Astronomy Software Applications package (CASA) containing a couple of new functions for modelling interferometric and single dish data. | No or uncertain experience | #CASA #modeling #modelling #python #visibilities |
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