-
Galmoss: A package for GPU-accelerated galaxy profile fitting Astron. Comput. (IF 2.5) Pub Date : 2024-04-16 Mi Chen, Rafael S. de Souza, Quanfeng Xu, Shiyin Shen, Ana L. Chies-Santos, Renhao Ye, Marco A. Canossa-Gosteinski, Yanping Cong
We introduce , a -based, -powered tool for two-dimensional fitting of galaxy profiles. By seamlessly enabling GPU parallelization, meets the high computational demands of large-scale galaxy surveys, placing galaxy profile fitting in the CSST/LSST-era. It incorporates widely used profiles such as the Sérsic, Exponential disk, Ferrer, King, Gaussian, and Moffat profiles, and allows for the easy integration
-
Reconstructing the mid-infrared spectra of galaxies using ultraviolet to submillimeter photometry and Deep Generative Networks Astron. Comput. (IF 2.5) Pub Date : 2024-04-14 Agapi Rissaki, O. Pavlou, D. Fotakis, V. Papadopoulou Lesta, A. Efstathiou
The mid-infrared spectra of galaxies are rich in features such as the Polycyclic Aromatic Hydrocarbon (PAH) and silicate dust features which give valuable information about the physics of galaxies and their evolution. For example they can provide information about the relative contribution of star formation and accretion from a supermassive black hole to the power output of galaxies. However, the mid-infrared
-
Rotation and flipping invariant self-organizing maps with astronomical images: A cookbook and application to the VLA Sky Survey QuickLook images Astron. Comput. (IF 2.5) Pub Date : 2024-04-04 A.N. Vantyghem, T.J. Galvin, B. Sebastian, C.P. O’Dea, Y.A. Gordon, M. Boyce, L. Rudnick, K. Polsterer, H. Andernach, M. Dionyssiou, P. Venkataraman, R. Norris, S.A. Baum, X.R. Wang, M. Huynh
Modern wide field radio surveys typically detect millions of objects. Manual determination of the morphologies is impractical for such a large number of radio sources. Techniques based on machine learning are proving to be useful for classifying large numbers of objects. The self-organizing map (SOM) is an unsupervised machine learning algorithm that projects a many-dimensional dataset onto a two-
-
RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference—Application to pulsar observations Astron. Comput. (IF 2.5) Pub Date : 2024-03-27 X. Zhang, I. Cognard, N. Dobigeon
Radio frequency interference (RFI) has been an enduring concern in radio astronomy, particularly for the observations of pulsars which require high timing precision and data sensitivity. In most works of the literature, RFI mitigation has been formulated as a detection task that consists of localizing possible RFI in dynamic spectra. This strategy inevitably leads to a potential loss of information
-
Probing Weyl-type [formula omitted] gravity: Cosmological implications and constraints Astron. Comput. (IF 2.5) Pub Date : 2024-03-19 A.H.A. Alfedeel, M. Koussour, N. Myrzakulov
In this paper, we investigate the cosmological implications and constraints of Weyl-type gravity. This theory introduces a coupling between the non-metricity and the trace of the energy–momentum tensor, using the principles of proper Weyl geometry. In this geometry, the scalar non-metricity , which characterizes the deviations from Riemannian geometry, is expressed in its standard Weyl form and is
-
Orbit classification in a galaxy model with a biaxial dark matter halo Astron. Comput. (IF 2.5) Pub Date : 2024-03-16 H.I. Alrebdi, K.E. Papadakis, F.L. Dubeibe, E.E. Zotos
This paper presents an analysis of a galaxy model with axial symmetry that includes a spherical nucleus, a disk, and a biaxial halo composed of dark matter. The aim is to provide a complete overview of the orbital dynamics of the galactic system and determine the impact of the flattening parameter of the dark matter halo using various numerical methods. Additionally, a comprehensive presentation of
-
Orbital dynamics of a binary system composed of a massive star and a black hole companion Astron. Comput. (IF 2.5) Pub Date : 2024-03-11 E.M. Moneer, F.L. Dubeibe, E.E. Zotos
In this work, we consider a binary system composed of a massive star and a black hole companion. By monitoring the mass transfer from the star to the black hole, we perform a thorough and systematic orbit classification for determining the final states of a test particle moving inside the gravitational field of the binary system. For this purpose, we deploy the theory of the time-independent restricted
-
Single star SCIDAR: Atmospheric parameters profiling using the power spectrum of scintillation Astron. Comput. (IF 2.5) Pub Date : 2024-03-07 Y. Errazzouki, A. Habib, A. Jabiri, M. Sabil, Z. Benkhaldoun, Y. El Azhari, O. Azagrouze, J. Chafi
Optical parameters of atmospheric turbulence have a significant impact on high angular resolution, adaptive optics, and site testing. The single star SCIDAR technique provides vertical profiles of these parameters, including the refractive index structure constant . Its is based on the analysis of single stars scintillation. This study introduces a new approach for real-time measurement of atmospheric
-
AstroSA: An astronomical observation scheduler assessment framework in python Astron. Comput. (IF 2.5) Pub Date : 2024-03-07 H. Xie, Z. Kang, X. Jiang
Time-domain astronomy, as a leading aspect of astronomical research, demands a significant increase in telescope hours. An efficient scheduler is crucial to handle the large number of observational requests effectively. However, the commonly used schedulers in observatories have not yet fully utilized the advancements in mathematics and computer science. In order to establish a connection between astronomy
-
Irregular longitudinal data analysis with statistical and machine learning methods for hazardous asteroids Astron. Comput. (IF 2.5) Pub Date : 2024-03-06 I. Tanriverdi, O. Ilk, M.A. Gürkan
Observations of the asteroids have been performed as long as it has been feasible by the available observational equipment. Recorded data, going back to 18 century, allowed a classification of these celestial objects’ hazardous status. Unfortunately, previous studies used methods that ignore subject dependency in Near-Earth Asteroids (NEA) data. This study aims to perform hazard classification of asteroids
-
Synthetic light curves of exoplanet transit using nanosatellite data Astron. Comput. (IF 2.5) Pub Date : 2024-02-28 A. Fuentes, M. Solar
In this article, we present a dataset of light curves with synthetic signals. BRITE light curves (a constellation of five nanosatellites) are the main source of this dataset. We create the synthetic light curves of exoplanet transit by applying a pre-processing to the BRITE data and an injection of transit according to the Mandel and Agol model with a constraint of stellar radius and planetary radius
-
SDHDF: A new file format for spectral-domain radio astronomy data Astron. Comput. (IF 2.5) Pub Date : 2024-02-24 L.J. Toomey, G. Hobbs, D.C. Price, J.R. Dawson, T. Wenger, D. Lagoy, L. Staveley-Smith, J.A. Green, E. Carretti, A. Hafner, M. Huynh, J. Kaczmarek, S. Mader, V. McIntyre, J. Reynolds, T. Robishaw, J. Sarkissian, A. Thompson, C. Tremblay, A. Zic
Radio astronomy file formats are now required to store wide frequency bandwidths and multiple simultaneous receiver beams and must be able to account for versatile observing modes and numerous calibration strategies. The need to capture and archive high-time and high frequency-resolution data, along with the comprehensive metadata that fully describe the data, implies that a new data format and new
-
Scenario of FLRW Dark Energy Universe and f(Q) Gravity Astron. Comput. (IF 2.5) Pub Date : 2024-02-21 K. Haloi, R. Roy Baruah
In this paper, we discuss the accelerated expansion of the Universe in the context of f(Q) gravity theory, where Q is the non-metricity scalar. We consider a well-established parametrization of the Hubble parameter in order to determine the solution of the field equations in the FLRW universe. To obtain the best-fit value for the model parameters we use the combined Hubble, BAO, and Pantheon datasets
-
-
Quantum radio astronomy: Quantum linear solvers for redundant baseline calibration Astron. Comput. (IF 2.5) Pub Date : 2024-02-16 N. Renaud, P. Rodríguez-Sánchez, J. Hidding, P. Chris Broekema
The computational requirements of future large scale radio telescopes are expected to scale well beyond the capabilities of conventional digital resources. Current and planned telescopes are generally limited in their scientific potential by their ability to efficiently process the vast volumes of generated data. To mitigate this problem, we investigate the viability of emerging quantum computers for
-
Improvement of pulsars detection using dataset balancing methods and symbolic classification ensemble Astron. Comput. (IF 2.5) Pub Date : 2024-02-14 N. Anđelić
Highly accurate detection of pulsars is mandatory. With the application of machine learning (ML) algorithms, the detection of pulsars can certainly be improved if the dataset is balanced. In this paper, the publicly available dataset (HTRU2) is highly imbalanced so various balancing methods were applied. The balanced dataset was used in genetic programming symbolic classifier (GPSC) to obtain symbolic
-
Deep learning and quantum algorithms approach to investigating the feasibility of wormholes: A review Astron. Comput. (IF 2.5) Pub Date : 2024-02-09 Wahyu Rahmaniar, B. Ramzan, Alfian Ma'arif
Wormholes, hypothetical structures connecting distant regions of spacetime, have long captured the imagination of scientists and science fiction fans alike. Wormholes are a complex phenomenon with challenges that require innovative approaches and interdisciplinary investigations. In this review, we investigate the potential of deep learning and quantum algorithms to explain the implications of wormholes
-
Observational constraints on Hubble parameter in Sáez Ballester theory Astron. Comput. (IF 2.5) Pub Date : 2024-02-08 J.K. Singh, H. Balhara, T.Q. Do, J. Jena
We study a dark energy model in the background of a spatially homogeneous and isotropic Friedmann-Lematre-Robertson-Walker (FLRW) space–time in Sáez Ballester’s theory of gravity (Saez and Ballester, 1986; Saez, 1983). We employ a special law of variation for the Hubble parameter proposed by Bermann (1983) to create a specific model in this gravity. The values of Hubble parameter and the deceleration
-
Analysis of chiral oxirane molecules in preparation for next generation telescopes: A review, new analysis, & a chiral molecule database Astron. Comput. (IF 2.5) Pub Date : 2024-02-07 C.D. Tremblay, R.D. Amos, R. Kobayashi
Human biology has a preference for left-handed chiral molecules and an outstanding question is if this is imposed through astrophysical origins. We aim to evaluate the known information about chiral molecules within astrophysical and astrochemical databases, evaluate chemical modeling accuracy, and use high-level CCSD(T) calculations to characterize propylene oxide and other oxirane variants. By comparing
-
A fast inversion method of parameters for contact binaries based on differential evolution Astron. Comput. (IF 2.5) Pub Date : 2024-02-07 X. Zeng, J. Song, S. Zheng, G. Xu, S. Zeng, Y. Wang, A. Esamdin, Y. Huang, S. Xia, J. Huang
With the development of modern astronomical observation techniques and contact binary research, a large number of light curves of contact binaries have been published, and it has become a challenge to quickly derive the basic physical parameters of contact binaries from their light curves. This article presents a neural network (NN) based on the differential evolution intelligent optimization algorithm
-
Quintessence behaviour dark energy models in f(Q,B)-gravity theory with observational constraints Astron. Comput. (IF 2.5) Pub Date : 2024-02-07 D.C. Maurya
The present paper is an investigation of dark energy scenarios of cosmological models in recently proposed modified non-metricity gravity theory with boundary term in a flat FLRW spacetime universe. We have considered an arbitrary function , where is the non-metricity scalar, is the boundary term given by , and are the model parameters, which is quadratic in both and , for the action. We have investigated
-
Using GMM in open cluster membership: An insight Astron. Comput. (IF 2.5) Pub Date : 2024-01-29 M. Mahmudunnobe, P. Hasan, M. Raja, M. Saifuddin, S.N. Hasan
The unprecedented precision of Gaia has led to a paradigm shift in membership determination of open clusters where a variety of machine learning (ML) models can be employed. In this paper, we apply the unsupervised Gaussian Mixture Model (GMM) to a sample of thirteen clusters with varying ages (logt≈ 6.38-9.64) and distances (441-5183 pc) from Gaia DR3 data to determine membership. We use ASteca to
-
Calibration and testing strategies to correct atmospheric effects on star tracking algorithms Astron. Comput. (IF 2.5) Pub Date : 2024-01-28 L. Jannin, L. Felicetti
Star trackers are usually considered to be the most accurate sensors, able to achieve a sub-arcminute precision. Star tracker algorithms are often tested and validated with simulated space views. Testing the algorithms with real space images is expensive as it requires implementing them on existing in-space star trackers, or to launch new satellites. This study shows that those algorithms are usually
-
The constrained accelerating universe in f(R,T) gravity Astron. Comput. (IF 2.5) Pub Date : 2024-01-28 J.K. Singh, H. Balhara, , P. Singh
In this paper, we study an alternative phenomenological model in f(R,T) gravity, where R indicates Ricci scalar curvature and T is the trace of the stress–energy–momentum tensor consisting of a modification in General Relativity, to explain the dynamics of a dark energy model at cosmological scales employed in a flat universe. Our basic concept is to create a model to analyze the behavior of the Universe
-
The HERMES calibration pipeline: mescal Astron. Comput. (IF 2.5) Pub Date : 2024-02-01 G. Dilillo, E.J. Marchesini, G. Della Casa, G. Baroni, R. Campana, E. Borciani, S. Srivastava, S. Trevisan, F. Ceraudo, M. Citossi, Y. Evangelista, A. Guzmán, P. Hedderman, C. Labanti, E. Virgilli, F. Fiore
The HERMES Technologic and Scientific Pathfinder project is a constellation of six CubeSats aiming to observe transient high-energy events such as the Gamma Ray Bursts (GRBs). HERMES will be the first space telescope to include a detector, able to perform spectroscopy in the 2 keV to 2 MeV energy band. The particular siswich architecture, which combines a solid-state Silicon Drift Detector and a scintillator
-
Cosmic analysis of a model in higher-order gravity theory Astron. Comput. (IF 2.5) Pub Date : 2024-01-26 J.K. Singh, , Harshna Balhara, Kazuharu Bamba, J. Jena
The late-time cosmic acceleration is investigated in modified gravity theory with higher-order curvature terms of the Ricci scalar and the Gauss–Bonnet invariant. The gravitational field equation is analyzed with an appropriate parameterization of the Hubble parameter and the cosmological constraints on model parameters are derived by using the Hubble, Pantheon, and their joint dataset. It is demonstrated
-
Using deep learning methods for IACT data analysis in gamma-ray astronomy: A review Astron. Comput. (IF 2.5) Pub Date : 2024-01-24 A. Demichev, A. Kryukov
Imaging Atmospheric Cherenkov Telescope (IACT) capture images of extensive air shower (EAS) generated by gamma rays and cosmic rays (charged particles) as they interact with the atmosphere. The much more frequent charged particle events form the main background in the search for gamma-ray sources, and therefore the success of IACT depends to a large extent on the ability to distinguish between these
-
Modified f(Q)-gravity string cosmological models with observational constraints Astron. Comput. (IF 2.5) Pub Date : 2024-01-12 D.C. Maurya, J. Singh
In the current study, we have investigated a modified f(Q)-gravity theory in an anisotropic, locally rotationally symmetric (LRS) Bianchi type-I spacetime universe model. The arbitrary function f(Q)=Q+Λ, where Λ is the “cosmological constant,” and Q is the non-metricity scalar, has been taken into consideration. To obtain the exact solution of the modified field equations, we considered a dusty string
-
The effect of baseline on the uncertainties of range determination performed by two-site astrometric observations: A sample case for the triangulation method: TURKSAT 3A and TURKSAT 4A Astron. Comput. (IF 2.5) Pub Date : 2024-01-08 H.G. Gökay, S. Özdemi̇r, M.N. Bağıran, S. Aydın
The uncertainties in range determination depending on two-site locations for GEO satellites were calculated and shown that the uncertainty in the range depends not only on linear baseline distance between the locations but also both latitude and longitude of geographic coordinates of the sites. By taking the first observing site as fixed and changing the location of the second site, the triangulated
-
Planetary orbital mapping and mosaicking (POMM) integrated open source software environment Astron. Comput. (IF 2.5) Pub Date : 2024-01-09 Thomas L. Logan, Michael M. Smyth, Fred J. Calef
Several Open Source planetary orbital mapping and utility image processing software packages, including, VICAR, AFIDS, ISIS, GDAL, and GeoTIFF, have been integrated into a single software environment (POMM), where package programs can be run independently from a Linux command line, or combined in synergistic scripts that facilitate advanced trans-package applications. Several integrated scripts have
-
Deep Learning LSTM-based approaches for 10.7 cm solar radio flux forecasting up to 45-days Astron. Comput. (IF 2.5) Pub Date : 2024-01-04 G. Jerse, A. Marcucci
Accurate forecasting of F10.7 index is important on short, medium and long-term timescales since F10.7 is an excellent proxy of solar activity and it plays an important role within the Space Weather framework. The analysis of the signatures of transient solar radio emission and its prediction are a challenging task as the underpinning physical processes are typically nonlinear, non-stationary and chaotic
-
Existence and uniqueness of solution to the system of integral equations in the planar Earth, Sun and satellite system Astron. Comput. (IF 2.5) Pub Date : 2023-12-27 Kumari Ranjana, M. Shahbaz Ullah, M. Javed Idrisi
This manuscript delves into the exploration of the existence and uniqueness of the nth level approximation within the context of the inertial restricted three-body problem. In this scenario, two massive celestial bodies, namely Earth and the Sun, are held stationary along a straight line, while a less massive object serves as an artificial satellite. Within the manuscript, we have uncovered solutions
-
Harnessing edge-enhanced attention mechanisms for supernova detection in deep learning frameworks Astron. Comput. (IF 2.5) Pub Date : 2023-12-16 K. Yin, J. Jia, F. Li, X. Gao, T. Sun
Recent studies have shown the advantages of convolutional neural networks in the classification and detection of supernovae. In our prior work, we employed one-stage object detection frameworks to address the challenges of presupposed location and varying image sizes in supernova detection. Notably, the backbone of the object detectors naturally emphasized the edges of candidate regions in the visualized
-
The study of equilibrium dynamics of the collinear restricted four-body problem with non-spherical test particle Astron. Comput. (IF 2.5) Pub Date : 2023-12-14 M.C. Asique, S. Alhowaity, A. Alhowaity, H. Hamam, M.S. Suraj
In the present manuscript, the dynamics of the non-spherical test particle in the planar version of spatial collinear restricted four-body problem is presented. Using the numerical methods, the parametric variation of the position of libration points (LPs) is illustrated when the oblateness/prolateness parameters vary in the pre-assumed intervals. Moreover, it is also unveiled how these parameters
-
Data-driven satellite orbit prediction using two-line elements Astron. Comput. (IF 2.5) Pub Date : 2023-12-06 M. Thammawichai, T. Luangwilai
Orbit prediction is crucial for space situational awareness operations. Low earth orbit satellites are subjected to external forces such as atmospheric drag, radiation, and gravity. However, the well-known Kepler propagation model ignores these external forces. The simplified perturbation model included only the main external forces. In this study, a nonlinear programming model for orbit prediction
-
Unveiling the intricacies of attracting zones in magnetic binary systems: Investigating the impact of Yukawa correction Astron. Comput. (IF 2.5) Pub Date : 2023-12-06 V. Kumar, R. Aggarwal, S.K. Marig
This study delves into the restricted three-body problem with a Yukawa correction to Newtonian gravitational forces, focusing on magnetic binary systems. We scrutinize the influence of Yukawa correction parameters (α, β) and the ratio of magnitude of magnetic moments (λ) on the system’s equilibrium points and their stability, zero-velocity curves. In our case, there exist of five and seven equilibrium
-
Simulating skylight polarization patterns using the backward Markov Chain Monte Carlo method Astron. Comput. (IF 2.5) Pub Date : 2023-12-05 Shuai Li, Rui Wang, Jiuming Cheng, Congming Dai, Wenqing Xu, Heli Wei, Jie Zhan
Skylight polarization patterns provide valuable information for atmospheric measurements, polarized remote sensing and navigation applications. However, efficiently and accurately modeling polarized radiative transfer in atmospheric scattering remains challenging. We propose a backward Markov chain Monte Carlo (B-MCMC) method to simulate skylight polarization patterns by constructing a Markov chain
-
OPTICAM triple-channel astronomical image acquisition control software and external triggering synchronization system Astron. Comput. (IF 2.5) Pub Date : 2023-12-01 A. Castro, I. Zavala, E. Colorado, J. Herrera, N. Castro Segura, R. Michel, D. Altamirano, L. Altamirano-Dévora, G. Sierra, J. Echevarría, J. Hernández-Landa
We present the development of software to control the multichannel image acquisition process and the design of an external timing module (ETM) for the OPTICAM system (Castro et al., 2019). The ETM is used to generate high-speed synchronized pulses for OPTICAM’s three different sCMOS cameras and is based on an ESP32-S2 micro-controller. The graphical user interface (GUI) of this instrument is also described
-
Search for the edge-on galaxies using an artificial neural network Astron. Comput. (IF 2.5) Pub Date : 2023-11-30 S.S. Savchenko, D.I. Makarov, A.V. Antipova, I.S. Tikhonenko
We present an application of an artificial neural network methodology to a modern wide-field sky survey Pan-STARRS1 in order to build a high-quality sample of disk galaxies visible in edge-on orientation. Such galaxies play an important role in the study of the vertical distribution of stars, gas and dust, which is usually not available to study in other galaxies outside the Milky Way. We give a detailed
-
Spiral-Elliptical automated galaxy morphology classification from telescope images Astron. Comput. (IF 2.5) Pub Date : 2023-11-23 M.J. Baumstark, G. Vinci
The classification of galaxy morphologies is an important step in the investigation of theories of hierarchical structure formation. While human expert visual classification remains quite effective and accurate, it cannot keep up with the massive influx of data from emerging sky surveys. A variety of approaches have been proposed to classify large numbers of galaxies; these approaches include crowdsourced
-
Detection and segmentation of radio frequency interference from satellite images using attention-GANs Astron. Comput. (IF 2.5) Pub Date : 2023-11-10 Sajichandrachood O.M., Sethunadh R.
Radio frequency interference (RFI) refers to the interference in the electromagnetic spectrum caused by undesired radio signals that share the same frequency band as the desired signal. RFI can interrupt, distort, or completely eliminate radio signals, resulting in ineffective communication or interaction with other electronic systems. RFI can have several effects on satellite imagery. It can result
-
Observational constraints for an axially symmetric transitioning model with bulk viscosity parameterization Astron. Comput. (IF 2.5) Pub Date : 2023-11-09 A. Dixit, A. Pradhan, V.K. Bhardwaj, A. Beesham
In this paper, we have analyzed the significance of bulk viscosity in an axially symmetric Bianchi type-I model to study the accelerated expansion of the universe. We have considered four bulk viscosity parameterizations for the matter-dominated cosmological model. The function of the two significant Hubble H(z) and deceleration parameters are discussed in detail. The energy parameters of the universe
-
Radiation driven-dust hydrodynamics in late-phase AGB stars Astron. Comput. (IF 2.5) Pub Date : 2023-11-03 H. Zargarnezhad, R.J. Myers, A.K. Speck, J.A. McFarland
The interplay of stellar luminosity variations and dust hydrodynamics in Asymptotic Giant Branch (AGB) stars and the consequences for dust survival and mass loss remain elusive. In this work, we broadly investigate the role of dust and radiation hydrodynamics in forming dust and gas structures, heterogeneous clumps observable in AGB remnants and planetary nebulae (PNe). Of interest in this study are
-
The dynamics of a hyperbolic solution in f(R,G) gravity Astron. Comput. (IF 2.5) Pub Date : 2023-11-03 D. Rabha, R. Roy Baruah
In this study, our focus is on exploring the dynamics of the universe using a flat FLRW model within the framework of f(R,G) gravity. The specific function f(R,G)=ξR+λR2G2 is considered, with R and G representing the Ricci scalar and Gauss–Bonnet invariant, respectively. To obtain the solution to the gravitational field equations within the f(R,G) formalism, we adopt a specific form for the scale factor
-
Effective detection of variable celestial objects using machine learning-based periodic analysis Astron. Comput. (IF 2.5) Pub Date : 2023-11-03 N. Chihara, T. Takata, Y. Fujiwara, K. Noda, K. Toyoda, K. Higuchi, M. Onizuka
This paper tackles the problem of effectively detecting variable celestial objects whose brightness periodically changes over time. This problem is crucial in studying the evolution and structure of the universe and elucidating physical phenomena. The method by Sesar et al. is one of the popular approaches used in detecting variable celestial objects that uses statistical data of celestial time series
-
Fast grid to grid interpolation for radio interferometric imaging Astron. Comput. (IF 2.5) Pub Date : 2023-11-03 N. Monnier, F. Orieux, N. Gac, C. Tasse, E. Raffin, D. Guibert
Backward and forward interpolations on a Fourier grid are computationally expensive operations for radio interferometric imaging algorithms. By merging these operations, we propose the Grid to Grid (G2G) method which aims to reduce the computational cost and memory footprint. We have also shown that the oversampling factor used for the convolution function in the G2G method strongly impacted the accuracy
-
Investigating the suitability of data-driven methods for extracting physical parameters in cosmological models Astron. Comput. (IF 2.5) Pub Date : 2023-11-02 K.Y. Kim, H.W. Lee
Recent cosmological observations have reached a level of precision that enables the determination and statistical analysis of cosmological parameters with increased accuracy. Despite the significant progress in observational data, our current understanding is still insufficient to fully elucidate the origins of dark energy and dark matter. Addressing the complexities of the observational data may necessitate
-
An innovative tool for automating classification of stellar variability through nonlinear data analytics Astron. Comput. (IF 2.5) Pub Date : 2023-11-01 R. Syiemlieh, P.R. Saleh, D. Hazarika, E. Saikia
-
The photo-gravitational concentric Sitnikov problem Astron. Comput. (IF 2.5) Pub Date : 2023-10-30 M. Javed Idrisi, M. Shahbaz Ullah
The current framework involves a configuration of two pairs of primary celestial bodies engaged in synchronized circular orbits around a central point of mass. Additionally, an infinitesimal mass is positioned along the z-axis, traversing through the system’s center of mass. This distinctive celestial scenario is designated as the Concentric Sitnikov Problem. Notably, it is postulated that the initial
-
A GPU-accelerated viewer for HEALPix maps Astron. Comput. (IF 2.5) Pub Date : 2023-10-12 A.V. Frolov
HEALPix by Górskiet al. (2005) is a de-facto standard for Cosmic Microwave Background (CMB) data storage and analysis, and is widely used in current and upcoming CMB experiments. Almost all the datasets in Legacy Archive for Microwave Background Data Analysis (LAMBDA) use HEALPix as a format of choice. Visualizing the data plays important role in research, and several toolsets were developed to do
-
Stellar parameter estimation in O-type stars using artificial neural networks Astron. Comput. (IF 2.5) Pub Date : 2023-10-06 M. Flores R., L.J. Corral, C.R. Fierro-Santillán, S.G. Navarro
This work presents the results of the implementation of a deep learning system capable of estimating the effective temperature and surface gravity of O-type stars. The proposed system was trained with a database of 5,557 synthetic spectra computed with the stellar atmosphere code CMFGEN that covers stars with Teff from ∼20,000 K to ∼58,000 K, log(L/L⊙) from 4.3 to 6.3 dex, log g from 2.4 to 4.2 dex
-
GWDALI: A Fisher-matrix based software for gravitational wave parameter-estimation beyond Gaussian approximation Astron. Comput. (IF 2.5) Pub Date : 2023-10-11 J.M.S. de Souza, R. Sturani
We introduce GWDALI, a new Fisher-matrix, python based software that computes likelihood gradients to forecast parameter-estimation precision of arbitrary network of terrestrial gravitational wave detectors observing compact binary coalescences. The main new feature with respect to analogous software is to assess parameter uncertainties beyond Fisher-matrix approximation, using the derivative approximation
-
Deep learning for crescent detection and recognition: Implementation of Mask R-CNN to the observational Lunar dataset collected with the Robotic Lunar Telescope System Astron. Comput. (IF 2.5) Pub Date : 2023-09-22 R. Muztaba, H.L. Malasan, M. Djamal
The ability of the human eye to identify a crescent depends on its apparent object contrast versus the sky background, and inaccurate assessments are common when identifying it. The use of telescopes and cameras to monitor the crescent moon is becoming increasingly important as technology advances. Thus, in this study we developed an automated moon detection system with deep learning and integrated
-
The statistical OPEA models indicate an anomaly in the solar X-ray flare energy levels Astron. Comput. (IF 2.5) Pub Date : 2023-09-11 E. Yoldaş, H.A. Dal
We have recognized an anomaly on the solar activity cycle, while we researching on the question that there can be two different flare mechanisms working on the stellar surface. We discuss an anomaly in the solar flare activity levels in the cycle minima and maxima from the 20th to 22nd Solar Activity Cycles, depending on the models and analyses of the X-ray data. In this study, we used the GOES satellite
-
An UBVRI calibration method based on Pan-STARRS photometric survey Astron. Comput. (IF 2.5) Pub Date : 2023-09-04 X. Li, X. Zeng, A. Esamdin, S. Zheng, Y. Zhang
The Landolt’s standard stars catalog is the most widely utilized for CCD astronomy in the UBVRI broad band photometry system. The Panoramic Survey Telescope and Rapid Response System (Pan-STARRS) is one of the usage of the newly grizy photometric system. In this work, the main objective of this paper is to calibrate observations in the U, B, V, R, and I bands by utilizing data in the g, r, and i bands
-
Processing system for coherent dedispersion of pulsar radio emission Astron. Comput. (IF 2.5) Pub Date : 2023-09-01 I.A. Girin, S.F. Likhachev, A.S. Andrianov, M.S. Burgin, M.V. Popov, A.G. Rudnitskiy, V.A. Soglasnov, V.A. Zuga
Our study provides pulsar researchers with the possibility to utilize VLBI data for looking at pulsar radio emission with the extreme time resolution typical for broad band VLBI recorders. Pulsars emit micropulses and giant pulses shorter than a microsecond. The short pulse durations indicate high brightness temperatures. This constrains the physical nature of the pulsar radio emission mechanism, whose
-
An optimized training approach for meteor detection with an attention mechanism to improve robustness on limited data Astron. Comput. (IF 2.5) Pub Date : 2023-08-26 V.Y. Shirasuna, A.L.S. Gradvohl
Researchers have extensively used convolutional neural networks to detect meteor falls on Earth. However, when dealing with limited available data, these networks may need more robustness to classify new real-world images correctly. This study proposes an optimized training approach of a pre-trained model with an attention mechanism to achieve better generalization results in such a scenario. We compare
-
Analysis tool for lunar crescent visibility criterion based on integrated lunar crescent database Astron. Comput. (IF 2.5) Pub Date : 2023-08-25 M.S. Faid, M.S.A. Mohd Nawawi, M.H. Mohd Saadon
The analysis of lunar crescent visibility criteria is vital to provide a comparative insight into lunar crescent visibility criteria performance in predicting the visibility of a lunar crescent and suitability for Hijri calendar determination. While there have been attempts to measure the performance of lunar crescent visibility criteria, these works are in a singular analysis and not a comparative
-
Machine learning methods for the search for L&T brown dwarfs in the data of modern sky surveys Astron. Comput. (IF 2.5) Pub Date : 2023-08-22 A. Avdeeva
According to various estimates, brown dwarfs (BD) should account for up to 25 percent of all objects in the Galaxy. However, few of them are discovered and well-studied, both individually and as a population. Homogeneous and complete samples of brown dwarfs are needed for these kinds of studies. Due to their weakness, spectral studies of brown dwarfs are rather laborious. For this reason, creating
-
C 2-GaMe: Classification of cluster galaxy membership with machine learning Astron. Comput. (IF 2.5) Pub Date : 2023-08-09 D. Farid, H. Aung, D. Nagai, A. Farahi, E. Rozo
We present Classification of Cluster Galaxy Members (C 2-GaMe), a classification algorithm based on a suite of machine learning models that differentiates galaxies into orbiting, infalling, and background (interloper) populations, using phase space information as input. We train and test C 2-GaMe with the galaxies from UniverseMachine mock catalog based on Multi-Dark Planck 2 N-body simulations. We