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  • Predicting pulsar stars using a random tree boosting voting classifier (RTB-VC)
    Astron. Comput. (IF 1.854) Pub Date : 2020-08-12
    F. Rustam; A. Mehmood; S. Ullah; M. Ahmed; D. Muhammad Khan; G.S. Choi; B.-W. On

    The recent exponential growth in the data volume and number of identified pulsar stars is due to pulsar candidate search experiments and surveys. In this study, we investigated the existing methods and techniques used for pulsar prediction, such as applying filters based on pulsar observations, which can adversely affect the success of accurate pulsar prediction. Some of the existing methods are not

    更新日期:2020-08-12
  • Modeling transit and reflected light curves for non-spherical exoplanets
    Astron. Comput. (IF 1.854) Pub Date : 2020-07-23
    B. Carado; K.H. Knuth

    Newton was the first to provide a mathematical framework to describe the oblateness of the Earth, a framework later expended by Maclaurin, Jacobi, and Poincaré and applied to other astronomical objects. In the Solar System, the Jacobi triaxial ellipsoid has successfully described the shape of Haumea and Chariklo, while Ceres appears to be an oblate spheroid of the Maclaurin type. Beyond the Solar System

    更新日期:2020-08-09
  • Space target extraction and detection for wide-field surveillance
    Astron. Comput. (IF 1.854) Pub Date : 2020-08-01
    D. Liu; X. Wang; Z. Xu; Y. Li; W. Liu

    A wide-field surveillance system with a long exposure time has a stronger capability of space target detection. However, it also produces some complicated situations that make it difficult to detect space targets; some stars appear as streak-like sources, countless object points, and possible discontinuous or nonlinear target trajectories. We present a space target detection method with high detection

    更新日期:2020-08-09
  • A cuBLAS-based GPU correlation engine for a low-frequency radio telescope
    Astron. Comput. (IF 1.854) Pub Date : 2020-07-18
    N. Ragoomundun; G.K. Beeharry

    A low-frequency array is being set up to observe the Deuterium hyperfine line at 327.4 MHz in Mauritius, in the southern hemisphere. The array will be used to measure the total power of the Deuterium emission in the local galaxy in order to determine the D/H abundance ratio. Radio astronomy is a compute intensive discipline. With the advent of large interferometers the digital processing is predominantly

    更新日期:2020-07-27
  • Predictive ARIMA Model for coronal index solar cyclic data
    Astron. Comput. (IF 1.854) Pub Date : 2020-07-18
    M.F. Akhter; D. Hassan; S. Abbas

    Many solar activities, e.g. sunspots, Mg II indices, coronal index of solar activity, etc., are produced by solar magnetic fields that affect both, the solar atmosphere and heliosphere, including the terrestrial environment. The atmosphere of the sun is recognized by photosphere, as a visible solar disk and layers above it: chromosphere, transition zone and corona. The nature of solar activity can

    更新日期:2020-07-24
  • PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing
    Astron. Comput. (IF 1.854) Pub Date : 2020-06-25
    S. Farrens; A. Grigis; L. El Gueddari; Z. Ramzi; Chaithya G.R.; S. Starck; B. Sarthou; H. Cherkaoui; P. Ciuciu; J.-L. Starck

    We present the open-source image processing software package PySAP (Python Sparse data Analysis Package) developed for the COmpressed Sensing for Magnetic resonance Imaging and Cosmology (COSMIC) project. This package provides a set of flexible tools that can be applied to a variety of compressed sensing and image reconstruction problems in various research domains. In particular, PySAP offers fast

    更新日期:2020-07-01
  • Performance of CUDA-SHAPE on complex synthetic shapes and real data of asteroid (341843) 2008 EV5
    Astron. Comput. (IF 1.854) Pub Date : 2020-06-24
    M. Engels; S. Hudson; C. Magri

    CUDA-SHAPE is a GPU-accelerated algorithm for asteroid shape modeling based on the SHAPE modeling software which has been used in radar-based asteroid research over the past two decades. The new algorithm has been shown to be up to 19x faster on synthetic datasets of two scale model asteroids. In this paper, we apply CUDA-SHAPE to a third synthetic dataset of a more complex shape and to the dataset

    更新日期:2020-06-29
  • A redistribution tool for long-term archive of astronomical observation data
    Astron. Comput. (IF 1.854) Pub Date : 2020-06-08
    C. Sun; C. Yu; C. Cui; B. He; J. Xiao; Z. Li; S. Tang; J. Sun

    Astronomical observation data require long-term preservation, and the rapid accumulation of observation data makes it necessary to consider the cost of long-term archive storage. In addition to low-speed disk-based online storage, optical disk or tape-based offline storage can be used to save costs. However, for astronomical research that requires historical data (particularly time-domain astronomy)

    更新日期:2020-06-08
  • Towards an astronomical science platform: Experiences and lessons learned from Chinese Virtual Observatory
    Astron. Comput. (IF 1.854) Pub Date : 2020-05-26
    C. Cui; Y. Tao; C. Li; D. Fan; J. Xiao; B. He; S. Li; C. Yu; L. Mi; Y. Xu; J. Han; S. Yang; Y. Zhao; Y. Xue; J. Hao; L. Liu; X. Chen; J. Chen; H. Zhang

    In the era of big data astronomy, next generation telescopes and large sky surveys produce data sets at the TB or even PB level. Due to their large data volumes, these astronomical data sets are extremely difficult to transfer and analyze using personal computers or small clusters. In order to offer better access to data, data centers now generally provide online science platforms that enable analysis

    更新日期:2020-05-26
  • Efficient Fermi source identification with machine learning methods
    Astron. Comput. (IF 1.854) Pub Date : 2020-05-22
    H.B. Xiao; H.T. Cao; J.H. Fan; D. Costantin; G.Y. Luo; Z.Y. Pei

    In this work, Machine Learning (ML) methods are used to efficiently identify the unassociated sources and the Blazar Candidate of Uncertain types (BCUs) in the Fermi-LAT Third Source Catalog (3FGL). The aims are twofold: (1) to distinguish the Active Galactic Nuclei (AGNs) from others (non-AGNs) in the unassociated sources; (2) to identify BCUs into BL Lacertae objects (BL Lacs) or Flat Spectrum Radio

    更新日期:2020-05-22
  • CosmoHub: Interactive exploration and distribution of astronomical data on Hadoop
    Astron. Comput. (IF 1.854) Pub Date : 2020-05-16
    P. Tallada; J. Carretero; J. Casals; C. Acosta-Silva; S. Serrano; M. Caubet; F.J. Castander; E. César; M. Crocce; M. Delfino; M. Eriksen; P. Fosalba; E. Gaztañaga; G. Merino; C. Neissner; N. Tonello

    We present CosmoHub (https://cosmohub.pic.es), a web application based on Hadoop to perform interactive exploration and distribution of massive cosmological datasets. Recent Cosmology seeks to unveil the nature of both dark matter and dark energy mapping the large-scale structure of the Universe, through the analysis of massive amounts of astronomical data, progressively increasing during the last

    更新日期:2020-05-16
  • DeepMerge: Classifying high-redshift merging galaxies with deep neural networks
    Astron. Comput. (IF 1.854) Pub Date : 2020-05-16
    A. Ćiprijanović; G.F. Snyder; B. Nord; J.E.G. Peek

    We investigate and demonstrate the use of convolutional neural networks (CNNs) for the task of distinguishing between merging and non-merging galaxies in simulated images, and for the first time at high redshifts (i.e., z=2). We extract images of merging and non-merging galaxies from the Illustris-1 cosmological simulation and apply observational and experimental noise that mimics that from the Hubble

    更新日期:2020-05-16
  • Development and application of an HDF5 schema for SKA-scale image cube visualization
    Astron. Comput. (IF 1.854) Pub Date : 2020-05-15
    A. Comrie; A. Pińska; R. Simmonds; A.R. Taylor

    In this paper, we describe an HDF5 schema created to support the efficient visualization of the large image cubes that will be produced by SKA Phase 1 and precursor radio telescopes. We demonstrate how the “HDF5-IDIA” schema’s features can improve the performance of visualization software, using both low-level metrics and real-world tests of the schema’s implementation in CARTA, an image viewer that

    更新日期:2020-05-15
  • Radio-astronomical imaging on graphics processors
    Astron. Comput. (IF 1.854) Pub Date : 2020-05-13
    B. Veenboer; J.W. Romein

    Realizing the next generation of radio telescopes such as the Square Kilometre Array (SKA) requires both more efficient hardware and algorithms than today’s technology provides. The image-domain gridding (IDG) algorithm is a novel approach towards solving the most compute-intensive parts of creating sky images: gridding and degridding. It alleviates the performance bottlenecks of traditional AW-projection

    更新日期:2020-05-13
  • Abelian-Higgs cosmic string evolution with CUDA
    Astron. Comput. (IF 1.854) Pub Date : 2020-05-12
    J.R.C.C.C. Correia; C.J.A.P. Martins

    Topological defects form at cosmological phase transitions by the Kibble mechanism, with cosmic strings—one-dimensional defects—being the most studied example. A rigorous analysis of their astrophysical consequences is limited by the availability of accurate numerical simulations, and therefore by hardware resources and computation time. Improving the speed and efficiency of existing codes is therefore

    更新日期:2020-05-12
  • Comparison of automatic methods to detect sunspots in the Coimbra Observatory spectroheliograms
    Astron. Comput. (IF 1.854) Pub Date : 2020-05-06
    S. Carvalho; S. Gomes; T. Barata; A. Lourenço; N. Peixinho

    The Astronomical Observatory of the University of Coimbra has a huge collection of solar images, acquired daily since 1926. From the beginning, only spectroheliograms in the CaiiK line have been recorded, and since 1989 in the Hα line also. Such dataset requires efficient tools to detect and analyze solar activity features. The objective of this work is to create a tool that allows to automatically

    更新日期:2020-05-06
  • Introducing PyCross: PyCloudy Rendering Of Shape Software for pseudo 3D ionisation modelling of nebulae
    Astron. Comput. (IF 1.854) Pub Date : 2020-04-29
    K. Fitzgerald; E.J. Harvey; N. Keaveney; M.P. Redman

    Research into the processes of photoionised nebulae plays a significant part in our understanding of stellar evolution. It is extremely difficult to visually represent or model ionised nebula, requiring astronomers to employ sophisticated modelling code to derive temperature, density and chemical composition. Existing codes are available that often require steep learning curves and produce models derived

    更新日期:2020-04-29
  • Classification of galaxy color images using quaternion polar complex exponential transform and binary Stochastic Fractal Search
    Astron. Comput. (IF 1.854) Pub Date : 2020-04-28
    K.M. Hosny; M.A. Elaziz; I.M. Selim; M.M. Darwish

    Galaxies’ studies play an important role in the astronomic. Accurate classification of these galaxies enables scientists to understand the formation and evolution of the Universe. During the last decades, there have been several methods applied to classify the galaxy images. However, these methods encounter three big challenges. First, most existing methods converted the color images of galaxies into

    更新日期:2020-04-28
  • Astroalign: A Python module for astronomical image registration
    Astron. Comput. (IF 1.854) Pub Date : 2020-04-28
    M. Beroiz; J.B. Cabral; B. Sanchez

    We present an algorithm implemented in the Astroalign Python module for image registration in astronomy. Our module does not rely on WCS information and instead matches three-point asterisms (triangles) on the images to find the most accurate linear transformation between them. It is especially useful in the context of aligning images prior to stacking or performing difference image analysis. Astroalign

    更新日期:2020-04-28
  • IVOA HiPS implementation in the framework of WorldWide Telescope
    Astron. Comput. (IF 1.854) Pub Date : 2020-03-20
    Y. Xu; C. Cui; D. Fan; S. Li; C. Li; J. Han; L. Mi; B. He; H. Yang; Y. Tao; S. Yang; L. He

    The WorldWide Telescope(WWT) is a scientific visualization platform which can browse deep space images, star catalogs, and planetary remote sensing data from different observation facilities in a three-dimensional virtual scene. First launched and then open-sourced by Microsoft Research, the WWT is now managed by the American Astronomical Society (AAS). Hierarchical Progressive Survey (HiPS) is an

    更新日期:2020-04-20
  • Exo-MerCat: A merged exoplanet catalog with Virtual Observatory connection
    Astron. Comput. (IF 1.854) Pub Date : 2020-02-12
    E. Alei; R. Claudi; A. Bignamini; M. Molinaro

    The heterogeneity of papers dealing with the discovery and characterization of exoplanets makes every attempt to maintain a uniform exoplanet catalog almost impossible. Four sources currently available online (NASA Exoplanet Archive, Exoplanet Orbit Database, Exoplanet Encyclopaedia, and Open Exoplanet Catalogue) are commonly used by the community, but they can hardly be compared, due to discrepancies

    更新日期:2020-04-20
  • SKIRT 9: Redesigning an advanced dust radiative transfer code to allow kinematics, line transfer and polarization by aligned dust grains
    Astron. Comput. (IF 1.854) Pub Date : 2020-04-08
    P. Camps; M. Baes

    The open source SKIRT Monte Carlo radiative transfer code has been used for more than 15 years to model the interaction between radiation and dust in various astrophysical systems. In this work, we present version 9 of the code, which has been substantially redesigned to support long-term objectives. We invite interested readers to participate in the development, testing and application of new features

    更新日期:2020-04-20
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