Astrophysics Source Code Library

Making codes discoverable since 1999

Welcome to the ASCL

The Astrophysics Source Code Library (ASCL) is a free online registry and repository for source codes of interest to astronomers and astrophysicists, including solar system astronomers, and lists codes that have been used in research that has appeared in, or been submitted to, peer-reviewed publications. The ASCL is indexed by the SAO/NASA Astrophysics Data System (ADS) and Web of Science and is citable by using the unique ascl ID assigned to each code. The ascl ID can be used to link to the code entry by prefacing the number with (i.e.,

Most Recently Added Codes

2024 May 20

[submitted] Swiftest

Swiftest is a software package designed to model the long-term dynamics of system of bodies in orbit around a dominant central body, such a planetary system around a star, or a satellite system around a planet. The main body of the program is written in Modern Fortran, taking advantage of the object-oriented capabilities included with Fortran 2003 and the parallel capabilities included with Fortran 2008 and Fortran 2018. Swiftest also includes a Python package that allows the user to quickly generate input, run simulations, and process output from the simulations. Swiftest uses a NetCDF output file format which makes data analysis with the Swiftest Python package a streamlined and flexible process for the user. Building off a strong legacy, including its predecessors Swifter and Swift, Swiftest takes the next step in modeling the dynamics of planetary systems by improving the performance and ease of use of software, and by introducing a new collisional fragmentation model. Currently, Swiftest includes the four main symplectic integrators included in its predecessors: WHM, RMVS, HELIO, and SyMBA. In addition, Swiftest also contains the Fraggle model for generating products of collisional fragmentation.

2024 May 15

[submitted] PypeIt-NIRSPEC: A PypeIt Module for Reducing Keck/NIRSPEC High Resolution Spectra

We present a module built into the PypeIt Python package to reduce high resolution Y, J, H, K, and L band spectra from the W. M. Keck Observatory NIRSPEC spectrograph. This data reduction pipeline is capable of spectral extraction, wavelength calibration, and telluric correction of data taken before and after the 2018 detector upgrade, all in a single package. The procedure for reducing data is thoroughly documented in an expansive tutorial.

2024 May 08

[submitted] pyADfit

A nested sampling approach to quasi-stellar object (QSO) accretion disc fitting.

This repository contains a Python module for modelling accretion discs around astrophysical objects. The module provides functions to calculate physical quantities related to accretion disks and perform parameter estimation using observational data. The accretion disc model is the alpha-disc model (see Shakura & Sunyaev 1976), while the parameter estimation can be performed either with Nessai, Raynest or CPnest.
See also Ighina et al. 2024, arXiv 2405.03741.

2024 May 02

[submitted] BFast

A fast GPU-based bispectrum estimator implemented using JAX.

2024 Apr 30

[ascl:2404.030] RhoPop: Small-planet populations identifier

RhoPop identifies compositionally distinct populations of small planets (R≲2R). It employs mixture models in a hierarchical framework and the dynesty (ascl:1809.013) nested sampler for parameter and evidence estimates. RhoPop includes a density-mass grid of water-rich compositions from water mass fraction (WMF) 0-1.0 and a grid of volatile-free rocky compositions over a core mass fraction (CMF) range of 0.006-0.95. Both grids were calculated using the ExoPlex mass-radius-composition calculator (ascl:2404.029).

[ascl:2404.029] ExoPlex: Thermodynamically self-consistent mass-radius-composition calculator

ExoPlex is a thermodynamically self-consistent mass-radius-composition calculator. Users input a bulk molar composition and a mass or radius, and ExoPlex will calculate the resulting radius or mass. Additionally, it will produce the planet's core mass fraction, interior mineralogy and the pressure, adiabatic temperature, gravity and density profiles as a function of depth.

[ascl:2404.028] binary_precursor: Light curve model of supernova precursors powered by compact object companions

binary_precursor models light curves of supernova (SN) precursors powered by a pre-SN outburst accompanying accretion onto a compact object companion. Though it is only one of the possible models, it is useful for interpretations of (bright) SN precursors highly exceeding the Eddington limit of massive stars, which are observed in a fraction of SNe with dense circumstellar matter (CSM) around the progenitor. It offers a number of editable parameters, including compact object mass, progenitor mass, progenitor radii, and opacity. Initial CSM velocity can be normalized by the progenitor escape velocity (xi parameter), and the CSM mass, ionization temperature, and binary separation can also be specified.

[ascl:2404.027] s2fft: Differentiable and accelerated spherical transforms

S2FFT computes Fourier transforms on the sphere and rotation group using JAX (ascl:2111.002) or PyTorch. It leverages autodiff to provide differentiable transforms, which are also deployable on hardware accelerators (e.g., GPUs and TPUs). More specifically, S2FFT provides support for spin spherical harmonic and Wigner transforms (for both real and complex signals), with support for adjoint transformations where needed, and comes with different optimisations (precompute or not) that one may select depending on available resources and desired angular resolution L.

[ascl:2404.026] LEO-vetter: Automated vetting for TESS planet candidates

LEO-vetter automatically vets transit signals found in light curve data. Inspired by the Kepler Robovetter (ascl:2012.006), LEO-vetter computes vetting metrics to be compared to a series of pass-fail thresholds. If a signal passes all tests, it is considered a planet candidate (PC). If a signal fails at least one test, it may be either an astrophysical false positive (FP; e.g., eclipsing binary, nearby eclipsing signal) or false alarm (FA; e.g., systematic, stellar variability). Pass-fail thresholds can be changed to suit individual research purposes, and LEO-vetter produces vetting reports for manual inspection of signals. Flux-level vetting can be applied to any light curve dataset (such as Kepler, K2, and TESS), including light curves with mixes of cadences, while pixel-level vetting has been implemented for TESS.

[ascl:2404.025] stringgen: Scattering based cosmic string emulation

stringgen creates emulations of cosmic string maps with statistics similar to those of a single (or small ensemble) of reference simulations. It uses wavelet phase harmonics to calculate a compressed representation of these reference simulations, which may then be used to synthesize new realizations with accurate statistical properties, e.g., 2 and 3 point correlations, skewness, kurtosis, and Minkowski functionals.