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View article: Content-based image retrieval using COSFIRE descriptors with application to radio astronomy
Content-based image retrieval using COSFIRE descriptors with application to radio astronomy Open
The morphologies of astronomical sources are highly complex, making it essential not only to classify the identified sources into their predefined categories but also to determine the sources that are most similar to a given query source. …
View article: CARA: convolutional autoencoders for the detection of radio anomalies
CARA: convolutional autoencoders for the detection of radio anomalies Open
With the advent of modern radio interferometers, a significant influx in data is expected. This influx will render the manual inspection of samples infeasible and thus necessitates the development of automated approaches to find radio sour…
View article: Insights into Low-Resource Language Modelling: Improving Model Performances for South African Languages
Insights into Low-Resource Language Modelling: Improving Model Performances for South African Languages Open
To address the gap in natural language processing for Southern African languages, our paper presents an in-depth analysis of language model development under resource-constrained conditions. We investigate the interplay between model size,…
View article: Content-Based Image Retrieval Using COSFIRE Descriptors with application to Radio Astronomy
Content-Based Image Retrieval Using COSFIRE Descriptors with application to Radio Astronomy Open
The morphologies of astronomical sources are highly complex, making it essential not only to classify the identified sources into their predefined categories but also to determine the sources that are most similar to a given query source. …
View article: Remove First Detect Later: a counter-intuitive approach for detecting radio frequency interference in radio sky imagery
Remove First Detect Later: a counter-intuitive approach for detecting radio frequency interference in radio sky imagery Open
The modern era has witnessed a rapid uptake of technological use – from air travel to mobile cellphones. Technological advancement has however come at the cost of radio spectrum crowding and as such the efficient detection of radio frequen…
View article: A comparison framework for deep learning RFI detection algorithms
A comparison framework for deep learning RFI detection algorithms Open
In the realm of radio astronomy, the detection of radio frequency interference (RFI) stands as a pivotal pursuit. This study performs a novel comparative analysis of deep learning methodologies and introduces a novel transfer learning meth…
View article: Classification of radio galaxies with trainable COSFIRE filters
Classification of radio galaxies with trainable COSFIRE filters Open
Radio galaxies exhibit a rich diversity of morphological characteristics, which make their classification into distinct types a complex challenge. To address this challenge effectively, we introduce an innovative approach for radio galaxy …
View article: Classification of Radio Galaxies with trainable COSFIRE filters
Classification of Radio Galaxies with trainable COSFIRE filters Open
Radio galaxies exhibit a rich diversity of characteristics and emit radio emissions through a variety of radiation mechanisms, making their classification into distinct types based on morphology a complex challenge. To address this challen…
View article: Deep supervised hashing for fast retrieval of radio image cubes
Deep supervised hashing for fast retrieval of radio image cubes Open
The shear number of sources that will be detected by next-generation radio surveys will be astronomical, which will result in serendipitous discoveries. Data-dependent deep hashing algorithms have been shown to be efficient at image retrie…
View article: Characterizing the calibration systematics in radio interferometry due to partially modelled extended emission
Characterizing the calibration systematics in radio interferometry due to partially modelled extended emission Open
Calibration is the process by which we try to remove atmospheric and instrumental errors that corrupt the observations made by interferometers. Calibration is however an imperfect process and when we calibrate with an incomplete sky model …
View article: A Comparison framework for deep learning RFI detection algorithms in radio astronomy
A Comparison framework for deep learning RFI detection algorithms in radio astronomy Open
These are the datasets used for the study titled: A Comparison framework for deep learning RFI detection algorithms in radio astronomy. These files are made publicly available as an additional resource to the submission of the author's Mas…
View article: A Comparison framework for deep learning RFI detection algorithms in radio astronomy
A Comparison framework for deep learning RFI detection algorithms in radio astronomy Open
These are the datasets used for the study titled: A Comparison framework for deep learning RFI detection algorithms in radio astronomy. These files are made publicly available as an additional resource to the submission of the author's Mas…
View article: Deep supervised hashing for fast retrieval of radio image cubes
Deep supervised hashing for fast retrieval of radio image cubes Open
The shear number of sources that will be detected by next-generation radio surveys will be astronomical, which will result in serendipitous discoveries. Data-dependent deep hashing algorithms have been shown to be efficient at image retrie…
View article: Advances on the classification of radio image cubes
Advances on the classification of radio image cubes Open
Modern radio telescopes will daily generate data sets on the scale of exabytes for systems like the Square Kilometre Array (SKA). Massive data sets are a source of unknown and rare astrophysical phenomena that lead to discoveries. Nonethel…
View article: Feature guided training and rotational standardization for the morphological classification of radio galaxies
Feature guided training and rotational standardization for the morphological classification of radio galaxies Open
State-of-the-art radio observatories produce large amounts of data which can be used to study the properties of radio galaxies. However, with this rapid increase in data volume, it has become unrealistic to manually process all of the inco…
View article: FRGMRC - FIRST Radio Galaxy Morphology Reference Catalogue
FRGMRC - FIRST Radio Galaxy Morphology Reference Catalogue Open
FRGMRC - FIRST Radio Galaxy Morphology Reference Catalogue - Version 1.0 Brand et al. 2023 - https://ui.adsabs.harvard.edu/abs/2023MNRAS.522..292B/abstract
View article: FRGMRC - FIRST Radio Galaxy Morphology Reference Catalogue
FRGMRC - FIRST Radio Galaxy Morphology Reference Catalogue Open
FRGMRC - FIRST Radio Galaxy Morphology Reference Catalogue - Version 1.0 Brand et al. 2023 - https://ui.adsabs.harvard.edu/abs/2023MNRAS.522..292B/abstract
View article: Search Algorithms for the Combinatorial Generation of Bordered Box Repetition-Free Words
Search Algorithms for the Combinatorial Generation of Bordered Box Repetition-Free Words Open
Four search algorithms to search for the longest box repetition-free word over a given alphabet are presented, giving an empirical result on the upper bound of the length of these words. A box repetition-free word is a finite word w where …
View article: Extended linear regression model for vessel trajectory prediction with <i>a-priori</i> AIS information
Extended linear regression model for vessel trajectory prediction with <i>a-priori</i> AIS information Open
DATA AVAILABILITY STATEMENT : The data that support the findings of this study are available
\nat https://doi.org/10.5281/zenodo.1167595 (Ray et al. 2019).
View article: CNN architecture comparison for radio galaxy classification
CNN architecture comparison for radio galaxy classification Open
The morphological classification of radio sources is important to gain a full understanding of galaxy evolution processes and their relation with local environmental properties. Furthermore, the complex nature of the problem, its appeal fo…
View article: Foreground modelling via Gaussian process regression: an application to HERA data
Foreground modelling via Gaussian process regression: an application to HERA data Open
The key challenge in the observation of the redshifted 21-cm signal from cosmic reionization is its separation from the much brighter foreground emission. Such separation relies on the different spectral properties of the two components, a…
View article: Radio Interferometric Calibration Using a Complex Student’s t-distribution and Wirtinger Derivatives
Radio Interferometric Calibration Using a Complex Student’s t-distribution and Wirtinger Derivatives Open
Radio interferometric gain calibration can be biased by incomplete sky models and radio frequency interference, resulting in calibration artefacts that can restrict the dynamic range of the resulting images. It has been suggested that cali…
View article: Visualization of Fractional Integrals
Visualization of Fractional Integrals Open
We presented a novel geometric interpretation of the Riemann-Liouville fractional integral. We found that a Riemann-Liouville integral can be thought of as the area obtained by summing together the area of an infinite number of non-rectang…
View article: cubical – fast radio interferometric calibration suite exploiting complex optimization
cubical – fast radio interferometric calibration suite exploiting complex optimization Open
It has recently been shown that radio interferometric gain calibration can be\nexpressed succinctly in the language of complex optimisation. In addition to\nproviding an elegant framework for further development, it exposes properties\nof …
View article: Revival of the Magnetar PSR J1622–4950: Observations with MeerKAT, Parkes, XMM-Newton, Swift, Chandra, and NuSTAR
Revival of the Magnetar PSR J1622–4950: Observations with MeerKAT, Parkes, XMM-Newton, Swift, Chandra, and NuSTAR Open
New radio (MeerKAT and Parkes) and X-ray ( XMM-Newton , Swift , Chandra , and NuSTAR ) observations of PSR J1622–4950 indicate that the magnetar, in a quiescent state since at least early 2015, reactivated between 2017 March 19 and April 5…
View article: Redundant interferometric calibration as a complex optimization problem
Redundant interferometric calibration as a complex optimization problem Open
Observations of the redshifted 21-cm line from the epoch of reionization have recently motivated the construction of low frequency radio arrays with highly redundant configurations. These configurations provide an alternative calibration s…
View article: Constraining Polarized Foregrounds for EoR Experiments. II. Polarization Leakage Simulations in the Avoidance Scheme
Constraining Polarized Foregrounds for EoR Experiments. II. Polarization Leakage Simulations in the Avoidance Scheme Open
A critical challenge in the observation of the redshifted 21 cm line is its separation from bright Galactic and extragalactic foregrounds. In particular, the instrumental leakage of polarized foregrounds, which undergo significant Faraday …