Astronomy and Computing

Papers
(The median citation count of Astronomy and Computing is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
SKIRT 9: Redesigning an advanced dust radiative transfer code to allow kinematics, line transfer and polarization by aligned dust grains68
Astroalign: A Python module for astronomical image registration49
Astronomaly: Personalised active anomaly detection in astronomical data36
CosmoHub: Interactive exploration and distribution of astronomical data on Hadoop28
DeepMerge: Classifying high-redshift merging galaxies with deep neural networks26
SciServer: A science platform for astronomy and beyond23
A robust model for flux density calculations of radio halos in galaxy clusters: Halo-FDCA23
Predicting pulsar stars using a random tree boosting voting classifier (RTB-VC)22
FlowPM: Distributed TensorFlow implementation of the FastPM cosmological N-body solver19
PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing19
HILIGT, upper limit servers I—Overview18
Galaxy morphology classification using neural ordinary differential equations17
Classification of galaxy color images using quaternion polar complex exponential transform and binary Stochastic Fractal Search16
Mask galaxy: Morphological segmentation of galaxies16
Machine learning techniques applied to solar flares forecasting16
DeepShadows: Separating low surface brightness galaxies from artifacts using deep learning16
TheHaloMod: An online calculator for the halo model15
Galaxy morphology classification using automated machine learning15
Data processing software for Chandrayaan-2 Solar X-ray Monitor13
Modelling the projected separation of microlensing events using systematic time-series feature engineering13
HILIGT, Upper Limit Servers II — Implementing the data servers12
gwfish: A simulation software to evaluate parameter-estimation capabilities of gravitational-wave detector networks12
Harnessing the power of CNNs for unevenly-sampled light-curves using Markov Transition Field12
Comparison of automatic methods to detect sunspots in the Coimbra Observatory spectroheliograms11
Abelian–Higgs cosmic string evolution with multiple GPUs11
Distinction of groups of gamma-ray bursts in the BATSE catalog through fuzzy clustering11
Space target extraction and detection for wide-field surveillance10
Systematic biases when using deep neural networks for annotating large catalogs of astronomical images10
A versatile smoothed particle hydrodynamics code for graphic cards10
MADLens, a python package for fast and differentiable non-Gaussian lensing simulations10
Predictive ARIMA Model for coronal index solar cyclic data10
Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task?10
Kernel-based emulator for the 3D matter power spectrum from CLASS10
Efficient Fermi source identification with machine learning methods9
Abelian-Higgs cosmic string evolution with CUDA9
CoLiTecVS software for the automated reduction of photometric observations in CCD-frames9
The astorb database at Lowell Observatory9
Exploring and interrogating astrophysical data in virtual reality8
Apercal—The Apertif calibration pipeline8
Optical follow-up of gravitational wave triggers with DECam during the first two LIGO/VIRGO observing runs8
Effectively using unsupervised machine learning in next generation astronomical surveys8
Robust Gaussian process regression based on iterative trimming8
Radio-astronomical imaging on graphics processors8
Data Lab—A community science platform7
BlaST - A machine-learning estimator for the synchrotron peak of blazars7
Data processing pipeline for Tianlai experiment6
A Real Time Processing system for big data in astronomy: Applications to HERA6
Astronomical source detection in radio continuum maps with deep neural networks6
Astro Space Locator — A software package for VLBI data processing and reduction6
Towards an astronomical science platform: Experiences and lessons learned from Chinese Virtual Observatory6
CELEBI: The CRAFT Effortless Localisation and Enhanced Burst Inspection pipeline6
DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images6
A deep learning based astronomical target detection framework for multi-colour photometry sky survey projects5
Exo-MerCat: A merged exoplanet catalog with Virtual Observatory connection5
Detection of a new crescent moon using the Maximally Stable Extremal Regions (MSER) technique5
Development and application of an HDF5 schema for SKA-scale image cube visualization5
Station-keeping error analysis for halo orbits around Libration point 5
Interaction of bodies in the circular restricted 3-body problem with variable mass5
An f(R,4
Estimating galaxy redshift in radio-selected datasets using machine learning4
A diffusion-based method for removing background stars from astronomical images4
Astronomical objects classification based on the Digitized First Byurakan Survey low-dispersion spectra4
Understanding the human in the design of cyber-human discovery systems for data-driven astronomy4
Photometric data-driven classification of Type Ia supernovae in the open Supernova Catalog4
GriSPy: A Python package for fixed-radius nearest neighbors search4
Optimizing the hybrid parallelization of BHAC4
Impact simulation of Starlink satellites on astronomical observation using worldwide telescope4
The Umbrella software suite for automated asteroid detection4
Classification algorithms applied to structure formation simulations4
Evolution of CMB temperature in a Chaplygin gas model from deep learning perspective4
Monte Carlo simulation of Lane–Emden type equations arising in astrophysics4
Searching for young stellar objects through SEDs by machine learning4
A fuzzy Multi-Criteria Decision Making approach for Exo-Planetary Habitability4
Synthetic population of interstellar objects in the Solar System4
Fast period searches using the Lomb–Scargle algorithm on Graphics Processing Units for large datasets and real-time applications4
Automatic classification of eclipsing binary stars using deep learning methods4
easyFermi: A graphical interface for performing Fermi-LAT data analyses3
Detection of extragalactic Ultra-compact dwarfs and Globular Clusters using Explainable AI techniques3
Solar activity classification based on Mg II spectra: Towards classification on compressed data3
Direction dependent point spread function reconstruction for multi-conjugate adaptive optics on giant segmented mirror telescopes3
An investigation of the relationship between the CME and the Geomagnetic Storm3
TULIPS: A Tool for Understanding the Lives, Interiors, and Physics of Stars3
Development of a high throughput cloud-based data pipeline for 21 cm cosmology3
1-DREAM: 1D Recovery, Extraction and Analysis of Manifolds in noisy environments3
Physical publicly verifiable randomness from pulsars3
A connectivity-based method for detecting clumpy structures in molecular clouds3
Low mass X-ray binary simulation data release3
The bright side of the light curve: A general photometric model of non-transiting exorings3
Exploring the interpretability of deep neural networks used for gravitational lens finding with a sensitivity probe3
Using multiple instance learning for explainable solar flare prediction3
Modeling transit and reflected light curves for non-spherical exoplanets2
Rosetta: A container-centric science platform for resource-intensive, interactive data analysis2
Introducing PyCross: PyCloudy Rendering Of Shape Software for pseudo 3D ionisation modelling of nebulae2
BayesicFitting, a PYTHON toolbox for Bayesian fitting and evidence calculation.2
A cuBLAS-based GPU correlation engine for a low-frequency radio telescope2
Symbolic implementation of extensions of the PyCosmo Boltzmann solver2
Hubble constant by natural selection: Evolution chips in the Hubble tension2
Lightweight HI source finding for next generation radio surveys2
Hierarchical clustering in astronomy2
GPU-enabled searches for periodic signals of unknown shape2
Detection of radio frequency interference using an improved generative adversarial network2
Evaluation metrics for galaxy image generators2
Fast error-safe MOID computation involving hyperbolic orbits2
Predicting cosmological observables with PyCosmo2
The Locus Algorithm: A novel technique for identifying optimised pointings for differential photometry2
Mitigating satellite trails: A study of residual light after masking2
The Locus Algorithm: The design, implementation and performance characterisation of a software and grid computing system to optimise the quality of fields of view for differential photometry2
Description of a RFI mitigation pipeline for the FAST 19-beam receiver2
A machine learning approach to the detection of ghosting and scattered light artifacts in dark energy survey images2
IVOA HiPS implementation in the framework of WorldWide Telescope2
The RTApipe framework for the gamma-ray real-time analysis software development2
Radio sources segmentation and classification with deep learning2
Deep learning for crescent detection and recognition: Implementation of Mask R-CNN to the observational Lunar dataset collected with the Robotic Lunar Telescope System2
Clustering-informed cinematic astrophysical data visualization with application to the Moon-forming terrestrial synestia2
A fast and time-efficient glitch classification method: A deep learning-based visual feature extractor for machine learning algorithms1
A new python package for identifying celestial bodies trapped in mean-motion resonances1
Observational constraints in modified Chaplygin gas cosmological model1
Sidestepping the inversion of the weak-lensing covariance matrix with Approximate Bayesian Computation1
DUG Insight: A software package for big-data analysis and visualisation, and its demonstration for passive radar space situational awareness using radio telescopes1
Modelling Lane–Emden type equations using Physics-Informed Neural Networks1
Asteroseismic determination of fundamental parameters for exoplanet host stars with deep learning1
SPARTAN: Maximizing the use of spectro-photometric observational data during template fitting1
Cosmic Ray rejection with attention augmented deep learning1
Astronomical source finding services for the CIRASA visual analytic platform1
Detecting dispersed radio transients in real time using convolutional neural networks1
Polytropic wind solutions via the Complex Plane Strategy1
Analysis tool for lunar crescent visibility criterion based on integrated lunar crescent database1
Dark Matter Subhalo interpretations using machine learning: The fourth Fermi-LAT catalog1
Pytearcat: PYthon TEnsor AlgebRa calCulATor A python package for general relativity and tensor calculus1
Cosmic voids in GAN-generated maps of large-scale structure1
The Gaia AVU–GSR parallel solver: Preliminary studies of a LSQR-based application in perspective of exascale systems1
The data center construction of the Xinjiang Astronomical Observatory based on virtual observatory standards1
An exploration of how training set composition bias in machine learning affects identifying rare objects1
Search for the edge-on galaxies using an artificial neural network1
Modified f(Q)1
FitsMap: A simple, lightweight tool for displaying interactive astronomical image and catalog data1
RUNMON-RIFT: Adaptive configuration and healing for large-scale parameter inference1
Transient simulations for radio surveys1
Study on outliers in the big stellar spectral dataset of the fifth data release (DR5) of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST)1
Stochastic approach to Markovian interrelationship assessment of solar activity indices1
A novel greedy approach to harmonic summing using GPUs1
New tool in python for spectroscopic data analysis: Application to variable stars data from the Oukaimden and OHP observatories1
Easy asteroid phase curve fitting for the Python ecosystem: Pyedra1
Analysis of thermal geometries on slowly rotating black holes in 4D Gauss–Bonnet gravity1
C 2-GaMe: Clas1
DarpanX: A python package for modeling X-ray reflectivity of multilayer mirrors1
sympy2c: From symbolic expressions to fast C/C++ functions and ODE solvers in Python1
Stellar parameter estimation in O-type stars using artificial neural networks1
Spectroscopic redshift determination with Bayesian convolutional networks1
TATTER: A hypothesis testing tool for multi-dimensional data1
Sengi: A small, fast, interactive viewer for spectral outputs from stellar population synthesis models1
HiSS-Cube: A scalable framework for Hierarchical Semi-Sparse Cubes preserving uncertainties1
DeepForge for astronomy: Deep learning SDSS redshifts from images1
Development of a new hybrid cloud cover detection method for all sky mapping1
Sensitivity estimation for dark matter subhalos in synthetic Gaia DR2 using deep learning1
Young lunar crescent detection based on video data with computer vision techniques1
Towards asteroid detection in microlensing surveys with deep learning1
Multi Order Coverage data structure to plan multi-messenger observations1
Bulirsh–Stoer algorithm in the planar restricted three-body problem1
The AGILE real-time analysis software system to detect short-transient events in the multi-messenger era1
The NASA Multi-Messenger Astrophysics Science Support Center (MOSSAIC)1
Removing aliases in time-series photometry1
Machine learning-based seeing estimation and prediction using multi-layer meteorological data at Dome A, Antarctica1
Photometry+: Development of a photometric pipeline for the Great Basin Observatory robotic telescope1
Wavelet based tone mapping (TM) enhancement to a detection system for faint and compact sources in HDR and large FOV radio scenes1
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