Category Archives: news

November 2024 additions to the ASCL

Thirty codes were added to the ASCL in November, 2024:

Astrocats: Construct astronomical catalogs
atlas-fit: Python tool to fit solar spectra to a known atlas
BSAVI: Bayesian SAmple VIsualizer for cosmological likelihoods
CLASS LVDM: Cosmological model of Lorentz invariance violation in gravity and dark matter
DAMSPI: DArk Matter SPIkes in EAGLE simulations

DarkMatters: Multi-frequency emissions from Dark Matter annihilation and decay
DarkRayNet: Simulation tool for indirect Dark Matter searches
Diagnose: Spectral classification code
DustPOL-py: Numerical modeling of dust polarization
EFTofPNG: Effective Field Theory of Post-Newtonian Gravity

fits_warp: Warp catalogues and images to dedistort the effects of the ionosphere
flashcurve: Fast generation of adaptive-binning light curves with Fermi-LAT data
GAz: Genetic Algorithm for photometric redshift estimation
HBSGSep: Hierarchical Bayesian Star-Galaxy Separations
HIILines: Analytical ionized ISM emission line model

IcyDwarf: Coupled geophysical-geochemical-orbital evolution model of icy worlds
jaxspec: X-ray spectra Bayesian analysis
McFine: Muli-component hyperfine fitting tool
MMLPhoto-z: Cross-modal contrastive learning method for estimating photo-z of quasars
mochi_class: Modelling Optimization to Compute Horndeski in CLASS

Mosaic: Multibeamformed Observation Simulation And Interferometry Characterization
NE2001p: Python implementation of the NE2001 Galactic electron density model
NEMESISPY: Modeling exoplanet spectra
pycosmicstar: PYthon cosmic STar formAtion Rate
PyMerger: Einstein Telescope binary black hole merger detector

ReverseDiff: Reverse mode automatic Differentiation for Julia
SMINT: Structure Model INTerpolator
spectroflat: Generic Python calibration library for spectro-polarimetric data
threedhst: 3D-HST grism analysis software
unicorn: Full 3D-HST grism pipeline

ASCL poster on reasons to register your software with ASCL at ADASS XXXIV


This presentation covers the benefits of registering astronomy research software with the Astrophysics Source Code Library (ASCL, ascl.net), a free online registry for software used in astronomy research. Indexed by ADS and Clarivate’s Web of Science, the ASCL currently contains over 3500 codes, and its entries have been cited over 17,000 times. Registering your code with the ASCL is easy with our online submissions system. Making your software available for examination shows confidence in your research and makes your research more transparent, reproducible, and falsifiable. ASCL registration allows your software to be cited on its own merits and provides a citation that is trackable and accepted by all astronomy journals and journals such as Science and Nature. Adding your code to the ASCL also allows others to find your code more easily, as it can then be found not only in the ASCL itself, but also in ADS, Web of Science, and Google Scholar.

Download poster (PDF)

October 2024 additions to the ASCL

Twenty codes were added to the ASCL in October, 2024:

ARK: 3D hydrodynamics code for the study of convective problems
BayeSED: Bayesian SED synthesis and analysis of galaxies and AGNs
CloudCovErr.jl: Debias and improve error bar estimates for photometry
DGEM: 3D dust continuum radiative transfer code for method comparison
DIRTY: 3D dust radiative transfer for dusty astrophysical sources

Exo-REM: 1D self-consistent radiative-equilibrium model for exoplanetary atmospheres
Falcon-DM: N-body code for inspirals in DM spikes
fastPTA: Constraining power of PTA configurations forecaster
forcepho: Generative modeling galaxy photometry for JWST
GalCraft: Building integral-field spectrograph data cubes of the Milky Way

Gaspery: Radial velocity (RV) observing strategies
Heracles: Harmonic-space statistics on the sphere
iPIC3D: Multi-scale plasma simulations of plasma
Kamodo: Space weather data access, interpolation, and visualization
lensitbiases: rFFT-based flat-sky CMB lensing tools

measure_extinction: Measure interstellar dust extinction using pair method
pysymlog: Symmetric (signed) logarithm scale for Python plots
solar-vSI: Calculate solar antineutrino spectra
SSOF: Data-driven models for extremely precise radial velocity (EPRV) spectra
vortex-p: Helmholtz-Hodge and Reynolds decomposition algorithm for particle-based simulations

September 2024 additions to the ASCL

Twenty codes were added to the ASCL in September, 2024:

AMReX: Software framework for block structured AMR
BeyonCE: Beyond Common Eclipsers
ClassiPyGRB: Swift/BAT GRB visualizer and classifier
cloudyfsps: Python interface between FSPS and Cloudy
DarsakX: X-ray telescope design and imaging performance analyzer

FGCluster: ForeGround Clustering
GASTLI: GAS gianT modeL for Interiors
MCMole3D: Statistical model for galactic molecular clouds
Padé: Protoplanetary disk turbulence simulator
PICASSO: Inpainter for point-sources for synchrotron and dust polarization

planetMagFields: Routines to plot magnetic fields of planets in our solar system
PyExoCross: Molecular line lists post-processor
pyRRG: Weak lensing shape measurement code
PySR: High-Performance Symbolic Regression in Python and Julia
resonances: Mean-motion resonances in Solar system and other planetary systems identifier

Stardust: Composite template fitting software
SUSHI: Semi-blind Unmixing with Sparsity for Hyperspectral Images
symbolic_pofk: Precise symbolic emulators of the linear and nonlinear matter power spectrum
UltraDark: Cosmological scalar fields simulator
WISE2MBH: Mass of supermassive black holes estimator

August 2024 additions to the ASCL

Fifteen codes were added to the ASCL in August, 2024:

21cmFirstCLASS: Generate initial conditions at recombination
Astronify: Astronomical data sonification
BELTCROSS2: Calculate the closest approaches of asteroids to meteoroid streams
Cue: Nebular emission modeling
GRBoondi: AMR-based code to evolve generalized Proca fields on arbitrary fixed backgrounds

HaloFlow: Simulation-Based Inference (SBI) using forward modeled galaxy photometry
LADDER: Learning Algorithm for Deep Distance Estimation and Reconstruction
M_SMiLe: Magnification Statistics of Micro-Lensing
pySDR: Wrapper for sharpened dimensionality reduction
RadioSED: Radio SED fitting for AGN

Sailfish: GPU-accelerated grid-based astrophysics gas dynamics code
SAQQARA: Stochastic gravitational wave background analysis
SDR: Sharpened Dimensionality Reduction
SHARC: SHArpened Dimensionality Reduction and Classification
SonAD: Sonification of astronomical data

July 2024 additions to the ASCL

Twenty codes were added to the ASCL in July, 2024:

AstroCLIP: Multimodal contrastive pretraining for astronomical data
ATM: Asteroid Thermal Modeling
BaCoN: BAyesian COsmological Network
bigfile: A reproducible massively parallel IO library for hierarchical data
cola_halo: Parallel cosmological N-body simulator

Fof: Friends-of-friends code to find groups
Forklens: Deep learning weak lensing shear
GRDzhadzha: Evolve matter on curved spacetimes
Heimdall: GPU accelerated transient detection pipeline for radio astronomy
hipipe: VLT/HiRISE reduction pipeline

MAKEE: MAuna Kea Echelle Extraction
Package-X: Calculate Feynman loop integrals
PFFT: Parallel fast Fourier transforms
photGalIMF: Stellar mass and luminosity evolution calculator
pony3d: Efficient island-finding tool for radio spectral line imaging

provabgs: SED modeling tools for PROVABGS
pycosie: Python analysis code used on Technicolor Dawn
pyFAT: Python Fully Automated TiRiFiC
RealSim: Statistical observational realism for synthetic images from galaxy simulations
UFalcon: Ultra Fast Lightcone

New ASCL team member!

Dr. Oindabi Mukherjee joined the ASCL team in June. She recently received her Ph.D. in Physics from Michigan Technological University (MTU, home of the ASCL; go, Huskies!). She specializes in detecting similarities in the light curves of Gamma-ray Bursts, and is assisting the ASCL with a number of projects. She is also our Social Media Maven. Welcome, Oindabi!

June 2024 additions to the ASCL

Thirty codes were added to the ASCL in June, 2024:

AAD: ALeRCE Anomaly Detector
AARD: Automatic detection of solar active regions
anzu: Measurements and emulation of Lagrangian bias models for clustering and lensing cross-correlations
AutoPhOT: Rapid publication-quality photometry of transients
BiaPy: Bioimage analysis pipeline builder

candl: Differentiable likelihood framework for analyzing CMB power spectrum measurements
CARDiAC: Anisotropic Redshift Distributions in Angular Clustering
CBiRd: Bias tracers In Redshift space
CTC: Color transformations calculator
EVA: Excess Variability-based Age

Faceted-HyperSARA: Parallel faceted imaging in radio interferometry
FLORAH: Galaxy merger tree generator with machine learning
GAStimator: Python MCMC gibbs-sampler with adaptive stepping
GRINN: Gravity Informed Neural Network for studying hydrodynamical systems
LeHaMoC: Leptonic-Hadronic Modeling Code for high-energy astrophysical sources

Lenser: Measure weak gravitational flexion
MBE: Magnification bias estimation
phazap: Low-latency identification of strongly lensed signals
phi-GPU: Parallel Hermite Integration on GPU
photochem: Chemical model of planetary atmospheres

PowerSpecCovFFT: FFTLog-based computation of non-Gaussian analytic covariance of galaxy power spectrum multipoles
PRyMordial: Precise computations of BBN within and beyond the Standard Model
QMC: Quadratic Monte Carlo
Redback: Bayesian inference package for fitting electromagnetic transients
SMART: Spectral energy distributions Markov chain Analysis with Radiative Transfer models

sphereint: Integrate data on a grid within a sphere
SRF: Scaling Relations Finder
SuperLite: Spectral synthesis code for interacting transients
WinNet: Flexible, multi-purpose, single-zone nuclear reaction network
ytree: yt-based merger-tree code

May 2024 additions to the ASCL

Twenty-five codes were added to the ASCL in May, 2024:

ABBHI: Autoregressive binary black hole inference
AFINO: Automated Flare Inference of Oscillations
blackthorn: Spectra from right-handed neutrino decays
coronagraph_noise: Coronagraph noise modeling routines
coronagraph: Python noise model for directly imaging exoplanets

CosmoPower: Machine learning-accelerated Bayesian inference
DirectSHT: Direct spherical harmonic transform
EF-TIGRE: Effective Field Theory of Interacting dark energy with Gravitational REdshift
fitramp: Likelihood-based jump detection
GauPro: R package for Gaussian process modeling

i-SPin: Multicomponent Schrodinger-Poisson systems with self-interactions
ICPertFLRW: Cactus Code thorn for initial conditions
LTdwarfIndices: Variable brown dwarf identifier
morphen: Astronomical image analysis and processing functions
ndcube: Multi-dimensional contiguous and non-contiguous coordinate-aware arrays

nessai: Nested sampling with artificial intelligence
PALpy: Python positional astronomy library
pyADfit: Nested sampling approach to quasi-stellar object (QSO) accretion disc fitting
pySPEDAS: Python-based Space Physics Environment Data Analysis Software
raccoon: Radial velocities and Activity indicators from Cross-COrrelatiON with masks

raynest: Parallel nested sampling based on ray
riddler: Type Ia supernovae spectral time series fitter
SPEDAS: Space Physics Environment Data Analysis System
sunbather: Escaping exoplanet atmospheres and transit spectra simulator
tapify: Multitaper spectrum for time-series analysis

ApJ overtakes MNRAS in number of ASCL citations

In looking at the ASCL dashboard yesterday, I realized that the Astrophysical Journal (ApJ) now has the most citations to ASCL entries, having overtaken (by a hair) Monthly Notices of the Royal Astronomical Society (MNRAS), which has held the top spot since at least 2015. MNRAS‘s early (and enduring) lead in software citations was initially the result of one editor, Dr. Keith T. Smith (now a senior editor at Science), who strongly encouraged article authors to cite the software they had used to generate their results. (Though I obviously saw the effect of his work in MNRAS, I had no idea one person was responsible for it until I saw a post in the Astronomers Facebook group and later queried Keith, who was unknown to me at the time.)

AAS Journals, which publishes ApJ, has three data editors, Greg Schwarz, August Muench, and Katie Merrell, who, though primarily consumed with data work, also encourage software citation, obviously to good effect. And so it grows!
Pie chart showing number of citations to ASCL entries by journal: ApJ, 4158, 27% MNRAS, 4156, 27% A&A, 2022, 13% AJ, 1328, 9% arXiv, 1135, 8% Other, 2351, 16%