Astronomy and Computing

Papers
(The TQCC of Astronomy and Computing is 3. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Astronomaly: Personalised active anomaly detection in astronomical data41
A robust model for flux density calculations of radio halos in galaxy clusters: Halo-FDCA25
TheHaloMod: An online calculator for the halo model22
HILIGT, upper limit servers I—Overview22
FlowPM: Distributed TensorFlow implementation of the FastPM cosmological N-body solver22
Galaxy morphology classification using neural ordinary differential equations21
Galaxy morphology classification using automated machine learning20
gwfish: A simulation software to evaluate parameter-estimation capabilities of gravitational-wave detector networks19
Machine learning techniques applied to solar flares forecasting19
DeepShadows: Separating low surface brightness galaxies from artifacts using deep learning17
Harnessing the power of CNNs for unevenly-sampled light-curves using Markov Transition Field16
Kernel-based emulator for the 3D matter power spectrum from CLASS16
HILIGT, Upper Limit Servers II — Implementing the data servers15
Modelling the projected separation of microlensing events using systematic time-series feature engineering15
Distinction of groups of gamma-ray bursts in the BATSE catalog through fuzzy clustering14
Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task?14
The astorb database at Lowell Observatory13
Robust Gaussian process regression based on iterative trimming13
Abelian–Higgs cosmic string evolution with multiple GPUs13
Data processing software for Chandrayaan-2 Solar X-ray Monitor13
A deep learning based astronomical target detection framework for multi-colour photometry sky survey projects11
Systematic biases when using deep neural networks for annotating large catalogs of astronomical images11
Astronomical source detection in radio continuum maps with deep neural networks11
MADLens, a python package for fast and differentiable non-Gaussian lensing simulations11
Exploring and interrogating astrophysical data in virtual reality11
Effectively using unsupervised machine learning in next generation astronomical surveys11
CoLiTecVS software for the automated reduction of photometric observations in CCD-frames10
BlaST - A machine-learning estimator for the synchrotron peak of blazars9
CELEBI: The CRAFT Effortless Localisation and Enhanced Burst Inspection pipeline9
An f(R,9
Data processing pipeline for Tianlai experiment8
DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images8
Interaction of bodies in the circular restricted 3-body problem with variable mass8
Apercal—The Apertif calibration pipeline8
A Real Time Processing system for big data in astronomy: Applications to HERA7
Monte Carlo simulation of Lane–Emden type equations arising in astrophysics7
Hierarchical clustering in astronomy7
Detection of a new crescent moon using the Maximally Stable Extremal Regions (MSER) technique6
Impact simulation of Starlink satellites on astronomical observation using worldwide telescope6
An exploration of how training set composition bias in machine learning affects identifying rare objects5
GriSPy: A Python package for fixed-radius nearest neighbors search5
Separating the blue cloud and the red sequence using Otsu’s method for image segmentation5
Evolution of CMB temperature in a Chaplygin gas model from deep learning perspective5
Using multiple instance learning for explainable solar flare prediction5
Station-keeping error analysis for halo orbits around Libration point 5
The Umbrella software suite for automated asteroid detection5
TULIPS: A Tool for Understanding the Lives, Interiors, and Physics of Stars5
A new python package for identifying celestial bodies trapped in mean-motion resonances5
Searching for young stellar objects through SEDs by machine learning5
Predicting cosmological observables with PyCosmo5
Classification algorithms applied to structure formation simulations5
Astronomical objects classification based on the Digitized First Byurakan Survey low-dispersion spectra4
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
Modified f(Q)4
A fuzzy Multi-Criteria Decision Making approach for Exo-Planetary Habitability4
Synthetic population of interstellar objects in the Solar System4
Data-driven satellite orbit prediction using two-line elements4
Photometric data-driven classification of Type Ia supernovae in the open Supernova Catalog4
Exploring the interpretability of deep neural networks used for gravitational lens finding with a sensitivity probe4
Estimating galaxy redshift in radio-selected datasets using machine learning4
A diffusion-based method for removing background stars from astronomical images4
Radio sources segmentation and classification with deep learning4
Description of a RFI mitigation pipeline for the FAST 19-beam receiver4
The constrained accelerating universe in f(4
Optimizing the hybrid parallelization of BHAC4
Processing system for coherent dedispersion of pulsar radio emission3
Multi Order Coverage data structure to plan multi-messenger observations3
Detection and segmentation of radio frequency interference from satellite images using attention-GANs3
Solar activity classification based on Mg II spectra: Towards classification on compressed data3
easyFermi: A graphical interface for performing Fermi-LAT data analyses3
Evaluation metrics for galaxy image generators3
sympy2c: From symbolic expressions to fast C/C++ functions and ODE solvers in Python3
DarpanX: A python package for modeling X-ray reflectivity of multilayer mirrors3
Physical publicly verifiable randomness from pulsars3
Detection of extragalactic Ultra-compact dwarfs and Globular Clusters using Explainable AI techniques3
Sensitivity estimation for dark matter subhalos in synthetic Gaia DR2 using deep learning3
Observational constraints in modified Chaplygin gas cosmological model3
Direction dependent point spread function reconstruction for multi-conjugate adaptive optics on giant segmented mirror telescopes3
Hubble constant by natural selection: Evolution chips in the Hubble tension3
Membership determination in open clusters using the DBSCAN Clustering Algorithm3
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
C 2-GaMe: Class3
The RTApipe framework for the gamma-ray real-time analysis software development3
Machine learning-based seeing estimation and prediction using multi-layer meteorological data at Dome A, Antarctica3
An investigation of the relationship between the CME and the Geomagnetic Storm3
Detection of radio frequency interference using an improved generative adversarial network3
Young lunar crescent detection based on video data with computer vision techniques3
A connectivity-based method for detecting clumpy structures in molecular clouds3
The bright side of the light curve: A general photometric model of non-transiting exorings3
The AGILE real-time analysis software system to detect short-transient events in the multi-messenger era3
Fast error-safe MOID computation involving hyperbolic orbits3
BayesicFitting, a PYTHON toolbox for Bayesian fitting and evidence calculation.3
Low mass X-ray binary simulation data release3
Symbolic implementation of extensions of the PyCosmo Boltzmann solver3
GPU-enabled searches for periodic signals of unknown shape3
A machine learning approach to the detection of ghosting and scattered light artifacts in dark energy survey images3
A fast and time-efficient glitch classification method: A deep learning-based visual feature extractor for machine learning algorithms3
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