Astronomy and Computing

Papers
(The TQCC of Astronomy and Computing is 4. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
SKIRT 9: Redesigning an advanced dust radiative transfer code to allow kinematics, line transfer and polarization by aligned dust grains71
Astroalign: A Python module for astronomical image registration50
Astronomaly: Personalised active anomaly detection in astronomical data36
CosmoHub: Interactive exploration and distribution of astronomical data on Hadoop29
DeepMerge: Classifying high-redshift merging galaxies with deep neural networks27
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
Machine learning techniques applied to solar flares forecasting17
Classification of galaxy color images using quaternion polar complex exponential transform and binary Stochastic Fractal Search16
Mask galaxy: Morphological segmentation of galaxies16
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
Modelling the projected separation of microlensing events using systematic time-series feature engineering13
Harnessing the power of CNNs for unevenly-sampled light-curves using Markov Transition Field13
Data processing software for Chandrayaan-2 Solar X-ray Monitor13
gwfish: A simulation software to evaluate parameter-estimation capabilities of gravitational-wave detector networks13
Comparison of automatic methods to detect sunspots in the Coimbra Observatory spectroheliograms12
HILIGT, Upper Limit Servers II — Implementing the data servers12
Abelian–Higgs cosmic string evolution with multiple GPUs11
Distinction of groups of gamma-ray bursts in the BATSE catalog through fuzzy clustering11
A versatile smoothed particle hydrodynamics code for graphic cards10
MADLens, a python package for fast and differentiable non-Gaussian lensing simulations10
Systematic biases when using deep neural networks for annotating large catalogs of astronomical images10
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
Predictive ARIMA Model for coronal index solar cyclic data10
Space target extraction and detection for wide-field surveillance10
The astorb database at Lowell Observatory10
Efficient Fermi source identification with machine learning methods9
Exploring and interrogating astrophysical data in virtual reality9
CoLiTecVS software for the automated reduction of photometric observations in CCD-frames9
Robust Gaussian process regression based on iterative trimming9
Abelian-Higgs cosmic string evolution with CUDA9
Optical follow-up of gravitational wave triggers with DECam during the first two LIGO/VIRGO observing runs8
Radio-astronomical imaging on graphics processors8
Apercal—The Apertif calibration pipeline8
Effectively using unsupervised machine learning in next generation astronomical surveys8
Data Lab—A community science platform7
BlaST - A machine-learning estimator for the synchrotron peak of blazars7
DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images6
Astro Space Locator — A software package for VLBI data processing and reduction6
A Real Time Processing system for big data in astronomy: Applications to HERA6
Astronomical source detection in radio continuum maps with deep neural networks6
Data processing pipeline for Tianlai experiment6
Towards an astronomical science platform: Experiences and lessons learned from Chinese Virtual Observatory6
CELEBI: The CRAFT Effortless Localisation and Enhanced Burst Inspection pipeline6
Interaction of bodies in the circular restricted 3-body problem with variable mass5
Station-keeping error analysis for halo orbits around Libration point 5
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
Predicting cosmological observables with PyCosmo5
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
An f(R,5
GriSPy: A Python package for fixed-radius nearest neighbors search5
Estimating galaxy redshift in radio-selected datasets using machine learning4
A fuzzy Multi-Criteria Decision Making approach for Exo-Planetary Habitability4
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
Monte Carlo simulation of Lane–Emden type equations arising in astrophysics4
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
Searching for young stellar objects through SEDs by machine learning4
Synthetic population of interstellar objects in the Solar System4
A diffusion-based method for removing background stars from astronomical images4
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
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