Category Archives: news

January 2016 additions to the ASCL

Twenty-one codes were added to the ASCL in January, 2016:

BASCS: Bayesian Separation of Close Sources
CosmicPy: Interactive cosmology computations
ctools: Cherenkov Telescope Science Analysis Software
Fit Kinematic PA: Fit the global kinematic position-angle of galaxies
Hyper-Fit: Fitting routines for multidimensional data with multivariate Gaussian uncertainties

ImpactModel: Black Hole Accretion Disk Impact Model
ISO: Isochrone construction
K2fov: Field of view software for NASA’s K2 mission
LACEwING: LocAting Constituent mEmbers In Nearby Groups
LIRA: Low-counts Image Reconstruction and Analysis

MATPHOT: Stellar photometry and astrometry with discrete point spread functions
Nulike: Neutrino telescope likelihood tools
Odyssey: Ray tracing and radiative transfer in Kerr spacetime
PARAVT: Parallel Voronoi Tessellation code
ProC: Process Coordinator

QDPHOT: Quick & Dirty PHOTometry
SAGE: Semi-Analytic Galaxy Evolution
SavGolFilterCov: Savitzky Golay filter for data with error covariance
SCOUSE: Semi-automated multi-COmponent Universal Spectral-line fitting Engine
TRADES: TRAnsits and Dynamics of Exoplanetary Systems

WzBinned: Binned and uncorrelated estimates of dark energy EOS extractor

December 2015 additions to the ASCL

Twenty codes were added to the ASCL in December, 2015:

ALFA: Automated Line Fitting Algorithm
AstroBlend: Visualization package for use with Blender
Bisous model: Detecting filamentary pattern in point processes
CounterPoint: Zeeman-split absorption lines
CubeIndexer: Indexer for regions of interest in data cubes

DiffuseModel: Modeling the diffuse ultraviolet background
DRACULA: Dimensionality Reduction And Clustering for Unsupervised Learning in Astronomy
EDRS: Electronography Data Reduction System
EDRSX: Extensions to the EDRS package
ExoData: Open Exoplanet Catalogue exploration and analysis tool

FFTLog: Fast Fourier or Hankel transform
GetData: A filesystem-based, column-oriented database format for time-ordered binary data
GPC: General Polygon Clipper library
growl: Growth factor and growth rate of expanding universes
IRACpm: Distortion correction for IRAC astrometric data

Spirality: Spiral arm pitch angle measurement
TACT: The Action Computation Tool
TM: Torus Mapper
UPSILoN: AUtomated Classification of Periodic Variable Stars using MachIne LearNing
ZeldovichRecon: Halo correlation function using the Zeldovich approximation

ASCL at AAS 227

Posters! Sessions! Meetings! The upcoming AAS meeting in Kissimmee, Florida is shaping up to be the busiest ever! Here are the formal meeting activities the ASCL is participating in.


Special Session: Tools and Tips for Better Software (aka Pain Reduction for Code Authors)
Tuesday, January 05, 2:00 PM – 3:30 PM; Sanibel
Organizers: Astrophysics Source Code Library (ASCL)/Moore-Sloan Data Science Environment at NYU

Research in astronomy is increasingly dependent on software methods and astronomers are increasingly called upon to write, collaborate on, release, and archive research quality software, but how can these be more easily accomplished? Building on comments and questions from previous AAS special sessions, this session, organized by the Astrophysics Source Code Library (ASCL) and the Moore-Sloan Data Science Environment at NYU, explores methods for improving software by using available tools and best practices to ease the burden and increase the reward of doing so. With version control software such as git and svn and companion online sites such as GitHub and Bitbucket, documentation generators such as Doxygen and Sphinx, and Travis CI, Intern, and Jenkins available to aid in testing software, it is now far easier to write, document and test code. Presentations cover best practices, tools, and tips for managing the life cycle of software, testing software and creating documentation, managing releases, and easing software production and sharing. After the presentations, the floor will be open for discussion and questions.

The topics and panelists are:

Source code management with version control software, Kenza S. Arraki
Software testing, Adrian M. Price-Whelan
The importance of documenting code, and how you might make yourself do it, Erik J. Tollerud
Best practices for code release, G. Bruce Berriman
Community building and its impact on sustainable scientific software, Matthew Turk
What to do with a dead research code, Robert J. Nemiroff


Poster 247.07: Astronomy education and the Astrophysics Source Code Library
Wednesday, January 06, Exhibit Hall A

The Astrophysics Source Code Library (ASCL) is an online registry of source codes used in refereed astrophysics research. It currently lists nearly 1,200 codes and covers all aspects of computational astrophysics. How can this resource be of use to educators and to the graduate students they mentor? The ASCL serves as a discovery tool for codes that can be used for one’s own research. Graduate students can also investigate existing codes to see how common astronomical problems are approached numerically in practice, and use these codes as benchmarks for their own solutions to these problems. Further, they can deepen their knowledge of software practices and techniques through examination of others’ codes.


Poster 348.01: Making your code citable with the Astrophysics Source Code Library
Thursday, January 07, Exhibit Hall A

The Astrophysics Source Code Library (ASCL, ascl.net) is a free online registry of codes used in astronomy research. With nearly 1,200 codes, it is the largest indexed resource for astronomy codes in existence. Established in 1999, it offers software authors a path to citation of their research codes even without publication of a paper describing the software, and offers scientists a way to find codes used in refereed publications, thus improving the transparency of the research. Citations using ASCL IDs are accepted by major astronomy journals and if formatted properly are tracked by ADS and other indexing services. The number of citations to ASCL entries increased sharply from 110 citations in January 2014 to 456 citations in September 2015. The percentage of code entries in ASCL that were cited at least once rose from 7.5% in January 2014 to 17.4% in September 2015. The ASCL’s mid-2014 infrastructure upgrade added an easy entry submission form, more flexible browsing, search capabilities, and an RSS feeder for updates. A Changes/Additions form added this past fall lets authors submit links for papers that use their codes for addition to the ASCL entry even if those papers don’t formally cite the codes, thus increasing the transparency of that research and capturing the value of their software to the community.

SciCodes.net: Experiment with building your own software registry/repository

The ASCL is offering clones of its infrastructure for any group or discipline wanting to build a code registry or repository of its own, with control of the new resource residing with the requesting parties. If you would like to build your own software resource, you can take our infrastructure, configure it as you like, and use it.

Specifically, we’re offering to:

  • clone the ASCL infrastructure to your domain name
  • host the infrastructure for at least three years (if you’d like) at MTU
  • share innovations on ASCL with those who accept this offer
  • maintain the host
  • let you move your site elsewhere with data intact

We would expect you to:

  • pay for/provide a domain name
  • have control over the site and configure it for your own use
  • use the site for a software repository/registry
  • gather ye codes as ye may
  • share innovations on the site with the ASCL and others who accept this offer
  • not do anything harmful to MTU’s computing environment

ASCL.net is built using these open source tools:

  • mySQL
  • WordPress
  • phpbb
  • CodeIgniter

Interested? Let us know at editor@ascl.net or comment below.

October and November 2015 additions to the ASCL

Thirty codes were added to the ASCL in October and November 2015:

ASPIC: STARLINK image processing package
batman: BAsic Transit Model cAlculatioN in Python
ccdproc: CCD data reduction software
CCDtoRGB: RGB image production from three-band atronomical images
CosmoBolognaLib: Open source C++ libraries for cosmological calculations

DEBiL: Detached Eclipsing Binary Light curve fitter
DES exposure checker: Dark Energy Survey image quality control crowdsourcer
EPIC: E-field Parallel Imaging Correlator
GALFORM: Galactic modeling
Galileon-Solver: N-body code

George: Gaussian Process regression
GGADT: Generalized Geometry Anomalous Diffraction Theory
HumVI: Human Viewable Image creation
JKTLD: Limb darkening coefficients
JSPAM: Interacting galaxies modeller

LCD3: Three-parameter limb darkening coefficient sampling
MCAL: M dwarf metallicity and temperature calculator
Mercury-T: Tidally evolving multi-planet systems code
MHF: MLAPM Halo Finder
milkywayproject_triggering: Correlation functions for two catalog datasets

Pangloss: Reconstructing lensing mass
PromptNuFlux: Prompt atmospheric neutrino flux calculator
pyhrs: Spectroscopic data reduction package for SALT
PyLDTk: Python toolkit for calculating stellar limb darkening profiles and model-specific coefficients for arbitrary filters
SkyView Virtual Telescope

SparsePZ: Sparse Representation of Photometric Redshift PDFs
SuperFreq: Numerical determination of fundamental frequencies of an orbit
T-Matrix: Codes for Computing Electromagnetic Scattering by Nonspherical and Aggregated Particles
Xgremlin: Interferograms and spectra from Fourier transform spectrometers analysis
ZInCo: Zoomed Initial Conditions

Looking before Leaping: Creating a Software Registry

Judy Schmidt, our designer/developer, and I have a new paper, “Looking before Leaping: Creating a Software Registry,” in the Journal of Open Research Software. The article is open access and can be found here: http://doi.org/10.5334/jors.bv

When I started work on the ASCL in 2010, I wanted to understand why the original ASCL — started in 1999 — and other previous similar resources had not reached critical mass. I looked at these resources, what they offered, and how they were structured, and for some of them, talked with the people who had started them, to see what I could learn from their experiences. In addition, Robert Nemiroff and I have had many conversations about the early days of the ASCL, and I also talked with researchers who used some of these services. The lessons from this look back has informed our work on the ASCL. My background in change management has also been helpful in determining the ASCL’s path forward. In the paper, we share not only some of what was learned, but also specific steps we’ve taken, why we’ve taken them, how the ASCL has changed over time, and some of our future plans.

The first version of this paper was accepted for the 2nd Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2), which took place in New Orleans in November 2014, and was later revised for publication.

WSSSPE2 blog post
3rd Workshop on Sustainable Software for Science: Practice and Experiences

ASCL Advisory Committee changes

Earlier this month, Robert Hanisch stepped down as an adviser on the ASCL’s Advisory Committee (AC); we are grateful for his service to the ASCL and thank him for his assistance.

Thomas Robitaille from the Max Planck Institute for Astronomy (MPIA) has joined the AC. He brings with him a wealth of experience as a software author, having developed Hyperion and APLpy; he’s also work on Glue and AstroPy and other astronomy software. We are delighted to have his input!

Suggest a change or addition to a record

Have you found an error in an ASCL entry? Is there a paper using your code you’d like to add? Would you like to specify right in an ASCL entry how your code should be cited?

We have added a “Suggest a change or addition” link to every code entry in the ASCL. This link brings up a form that is similar to the Submissions form and allows you to not only request changes to fields currently displayed, but also enter information for fields we are considering adding.

For example, we would like to disambiguate the URLs for refereed papers into those that describe a code and those that use a code; we’d also like to add categories to make searching for codes easier.Fields for described in and used in

 

 

 

 

Something that’s been on our wish list for a while is a “see also” feature, one that identifies, for a particular code, codes having a similar function or that someone looking at that code would likely be interested in, too. All we need to do this are the data!

Last update: July 20, 2021

September 2015 additions to the ASCL

Ten codes were added to the ASCL in September 2015:

AFR (ASPFitsReader): A pulsar FITS file reader and analysis package
FalconIC: Initial conditions generator for cosmological N-body simulations in Newtonian, Relativistic and Modified theories
FARGO3D: Hydrodynamics/magnetohydrodynamics code
GFARGO: FARGO for GPU
OPERA: Objective Prism Enhanced Reduction Algorithms

Tempo: Pulsar timing data analysis
TRUVOT: True Background Technique for the Swift UVOT Grisms
pycola: N-body COLA method code
PyCS: Python Curve Shifting
XSHPipelineManager: Python Wrapper for the VLT/X-shooter Data Reduction Pipeline