Astronomy and Computing最新文献_第10页

The study of equilibrium dynamics of the collinear restricted four-body problem with non-spherical test particle 带非球形测试粒子的共线受限四体问题的平衡动力学研究

IF 2.5 4区物理与天体物理

Astronomy and Computing Pub Date : 2023-12-14 DOI: 10.1016/j.ascom.2023.100781

M.C. Asique , S. Alhowaity , A. Alhowaity , H. Hamam , M.S. Suraj

引用次数: 0

Data-driven satellite orbit prediction using two-line elements 利用双线元进行数据驱动的卫星轨道预测

IF 2.5 4区物理与天体物理

Astronomy and Computing Pub Date : 2023-12-06 DOI: 10.1016/j.ascom.2023.100782

M. Thammawichai , T. Luangwilai

{"title":"Data-driven satellite orbit prediction using two-line elements","authors":"M. Thammawichai , T. Luangwilai","doi":"10.1016/j.ascom.2023.100782","DOIUrl":"10.1016/j.ascom.2023.100782","url":null,"abstract":"<div><p>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 using public two-line elements (TLE) is proposed. It has been proven that our models exhibit better performance than the standard Kepler and SPG4 models in terms of orbit prediction accuracy. Moreover, the proposed models were simple, computationally effective, and robust to disturbances. The sensitivity analysis indicates that a right ascension of the ascending node, a perigee argument, and a mean anomaly of the orbital elements are the most sensitive parameters in our models. The results also revealed that our method can be generalized to any low-earth orbit satellite with adequate data.</p></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"46 ","pages":"Article 100782"},"PeriodicalIF":2.5,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213133723000975/pdfft?md5=2c323d3d1d8a21f60d92d8098480b0bc&pid=1-s2.0-S2213133723000975-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138515487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unveiling the intricacies of attracting zones in magnetic binary systems: Investigating the impact of Yukawa correction 揭示磁性双星系统吸引区的复杂性：研究汤川修正的影响

IF 2.5 4区物理与天体物理

Astronomy and Computing Pub Date : 2023-12-06 DOI: 10.1016/j.ascom.2023.100783

V. Kumar , R. Aggarwal , S.K. Marig

{"title":"Unveiling the intricacies of attracting zones in magnetic binary systems: Investigating the impact of Yukawa correction","authors":"V. Kumar , R. Aggarwal , S.K. Marig","doi":"10.1016/j.ascom.2023.100783","DOIUrl":"10.1016/j.ascom.2023.100783","url":null,"abstract":"<div><p>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 (<span><math><mi>α</mi></math></span>, <span><math><mi>β</mi></math></span>) and the ratio of magnitude of magnetic moments (<span><math><mi>λ</mi></math></span>) on the system’s equilibrium points and their stability, zero-velocity curves. In our case, there exist of five and seven equilibrium points and all are found to be unstable for given range of parameters. Our examination extends to the basins of convergence and the existence of fractal under the influence of <span><math><mi>α</mi></math></span> and <span><math><mi>λ</mi></math></span>. Graphs drawn with the help of Wolfram Mathematica software vividly portray the parameter-driven evolution of equilibrium points, zero-velocity curves and basins of convergence. Furthermore, we explore the fractal characteristics within the basins of convergence, offering valuable insights into the complex dynamics of magnetic binary systems with Yukawa correction.</p></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"46 ","pages":"Article 100783"},"PeriodicalIF":2.5,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213133723000987/pdfft?md5=432a393f33b3363114c4d02baa2369ce&pid=1-s2.0-S2213133723000987-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138561003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Simulating skylight polarization patterns using the backward Markov Chain Monte Carlo method 使用后向马尔可夫链蒙特卡洛法模拟天窗偏振模式

IF 2.5 4区物理与天体物理

Astronomy and Computing Pub Date : 2023-12-05 DOI: 10.1016/j.ascom.2023.100772

Shuai Li , Rui Wang , Jiuming Cheng , Congming Dai , Wenqing Xu , Heli Wei , Jie Zhan

{"title":"Simulating skylight polarization patterns using the backward Markov Chain Monte Carlo method","authors":"Shuai Li , Rui Wang , Jiuming Cheng , Congming Dai , Wenqing Xu , Heli Wei , Jie Zhan","doi":"10.1016/j.ascom.2023.100772","DOIUrl":"https://doi.org/10.1016/j.ascom.2023.100772","url":null,"abstract":"<div><p>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 in parameter space to track photons from the sensor to the top-of-atmosphere (TOA). The results show that the B-MCMC model significantly improves the computational efficiency by a factor of 8-10 while retaining the computational accuracy compared with Monte Carlo simulations. The experiments show that in cloudy skies, the skylight polarization pattern is generally weakened, in the field of skylight polarization detection and application, long wavelengths should be used in clear weather and blue-violet light should be used in cloudy weather, which corresponds to a larger degree of polarization (DOP) and facilitates the acquisition of polarization information. Finally, the aerosol optical depth (AOD) has an important effect on the skylight polarization, as the AOD increases, the DOP decreases, and the decreasing trend will be more and more obvious, when the AOD is above 0.3, the maximum DOP will not exceed 0.5, which is verified by the division of focal plane (DOFP) polarization measurement device.</p></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"46 ","pages":"Article 100772"},"PeriodicalIF":2.5,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213133723000872/pdfft?md5=722079f83e13c81952732f08bc36cb4a&pid=1-s2.0-S2213133723000872-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138489727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

OPTICAM triple-channel astronomical image acquisition control software and external triggering synchronization system OPTICAM 三通道天文图像采集控制软件和外部触发同步系统

IF 2.5 4区物理与天体物理

Astronomy and Computing Pub Date : 2023-12-01 DOI: 10.1016/j.ascom.2023.100773

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

{"title":"OPTICAM triple-channel astronomical image acquisition control software and external triggering synchronization system","authors":"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","doi":"10.1016/j.ascom.2023.100773","DOIUrl":"https://doi.org/10.1016/j.ascom.2023.100773","url":null,"abstract":"<div><p>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, which allows users to enter the configuration parameters of the observations and execute actions such as starting and stopping image acquisition sequences or initializing cameras. 3 mini PCs are in charge of reading each one of the cameras, respectively. The software and hardware tools presented here have been successfully implemented at the Observatorio Astronómico Nacional (OAN-SPM), Mexico. By analyzing the recorded image sequences, it is possible to perform high-precision multi-channel photometric measurements of astrophysical objects that exhibit high temporal variability, revealing information about periodicities, inter-band delays, and quasi-periodic oscillations.</p></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"46 ","pages":"Article 100773"},"PeriodicalIF":2.5,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213133723000884/pdfft?md5=579a8b6e602a63c2c244ab4f58d63c7a&pid=1-s2.0-S2213133723000884-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138489728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Search for the edge-on galaxies using an artificial neural network 使用人工神经网络搜索边缘星系

IF 2.5 4区物理与天体物理

Astronomy and Computing Pub Date : 2023-11-30 DOI: 10.1016/j.ascom.2023.100771

S.S. Savchenko , D.I. Makarov , A.V. Antipova , I.S. Tikhonenko

引用次数: 0

Spiral-Elliptical automated galaxy morphology classification from telescope images 基于望远镜图像的螺旋椭圆星系形态自动分类

IF 2.5 4区物理与天体物理

Astronomy and Computing Pub Date : 2023-11-23 DOI: 10.1016/j.ascom.2023.100770

M.J. Baumstark, G. Vinci

{"title":"Spiral-Elliptical automated galaxy morphology classification from telescope images","authors":"M.J. Baumstark, G. Vinci","doi":"10.1016/j.ascom.2023.100770","DOIUrl":"https://doi.org/10.1016/j.ascom.2023.100770","url":null,"abstract":"<div><p>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 visual classification, and automated and computational methods, such as machine learning methods based on designed morphology statistics and deep learning. In this work, we develop two novel galaxy morphology statistics, descent average and descent variance, which can be efficiently extracted from telescope galaxy images. We further propose simplified versions of the existing image statistics concentration, asymmetry, and clumpiness, which have been widely used in the literature of galaxy morphologies. We utilize the galaxy image data from the Sloan Digital Sky Survey to demonstrate the effective performance of our proposed image statistics at accurately detecting spiral and elliptical galaxies when used as features of a random forest classifier.</p></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"46 ","pages":"Article 100770"},"PeriodicalIF":2.5,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213133723000859/pdfft?md5=efb44e4a33cafdd5ab52dbae6bd64201&pid=1-s2.0-S2213133723000859-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138439652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The statistical OPEA models indicate an anomaly in the solar X-ray flare energy levels 统计OPEA模型表明太阳x射线耀斑能量水平异常

IF 2.5 4区物理与天体物理

Astronomy and Computing Pub Date : 2023-10-01 DOI: 10.1016/j.ascom.2023.100756

E. Yoldaş, H.A. Dal

{"title":"The statistical OPEA models indicate an anomaly in the solar X-ray flare energy levels","authors":"E. Yoldaş, H.A. Dal","doi":"10.1016/j.ascom.2023.100756","DOIUrl":"https://doi.org/10.1016/j.ascom.2023.100756","url":null,"abstract":"<div><p><span><span>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 </span>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 data accumulated from 1976 to 1989 and detected 670 solar flares. We have separately carried out two independent statistical analyses for the examination of the solar flare activity. Firstly, we derived the equivalent durations distribution via the total durations of flares. Contrary to our expectations based on flare stars, it seems that this distribution is modelled by four different fits, instead of just one model fit. We found that the model parameters, such as </span><span><math><mrow><mi>p</mi><mi>l</mi><mi>a</mi><mi>t</mi><mi>e</mi><mi>a</mi><mi>u</mi></mrow></math></span>, <span><math><mrow><mi>h</mi><mi>a</mi><mi>l</mi><mi>f</mi><mo>−</mo><mi>t</mi><mi>i</mi><mi>m</mi><mi>e</mi></mrow></math></span>, and <span><math><mrow><mi>s</mi><mi>p</mi><mi>a</mi><mi>n</mi></mrow></math></span><span>, vary via time in the different trends from the Solar Activity Cycle. Secondly, we have derived the cumulative frequency models for solar flares. Contrary to the studies in the literature, we found that these frequency models do not take shape depending on the minimum or maximum of a solar activity cycle. If these results are not an unexpected anomaly, this study indicates that the existence of a different trend can be revealed apart from the solar activity cycle for the flare energy level variation, when the solar flare behaviour is separately determined for each cycle and they are compared with each other.</span></p></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"45 ","pages":"Article 100756"},"PeriodicalIF":2.5,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49733788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep learning for crescent detection and recognition: Implementation of Mask R-CNN to the observational Lunar dataset collected with the Robotic Lunar Telescope System 新月形探测和识别的深度学习：Mask R-CNN在机器人月球望远镜系统收集的月球观测数据集中的实现

IF 2.5 4区物理与天体物理

Astronomy and Computing Pub Date : 2023-10-01 DOI: 10.1016/j.ascom.2023.100757

R. Muztaba , H.L. Malasan , M. Djamal

{"title":"Deep learning for crescent detection and recognition: Implementation of Mask R-CNN to the observational Lunar dataset collected with the Robotic Lunar Telescope System","authors":"R. Muztaba , H.L. Malasan , M. Djamal","doi":"10.1016/j.ascom.2023.100757","DOIUrl":"https://doi.org/10.1016/j.ascom.2023.100757","url":null,"abstract":"<div><p><span><span>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 </span>deep learning and integrated for the robotic telescope OZT-ALTS with an infrared camera. By utilizing a deep learning method called Mask R-CNN, we have created infrared camera software with the goal of identifying and recognizing the crescent moon. The result shows, a total of 3,202 manually annotated moon images were used for deep-learning-trained models. We tested several combinations of training hyperparameters and image distribution numbers. The results show that the crescent detection issue can be resolved using a Mask R-CNN. Using the top-performing Mask R-CNN configuration, the trained model achieved a mean averaged precision (mAP) at the intersection over union (IOU) of 0.5, with a 99% for the extreme condition of a young crescent concealed by clouds and a 99% for the normal case for each </span>moon phase. We also show that such systems can be utilized as a framework for future monitoring, detection, and recognition of the young crescent and all moon phases.</p></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"45 ","pages":"Article 100757"},"PeriodicalIF":2.5,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49711536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Investigating the suitability of data-driven methods for extracting physical parameters in cosmological models 研究数据驱动方法在宇宙模型中提取物理参数的适用性

IF 2.5 4区物理与天体物理

Astronomy and Computing Pub Date : 2023-10-01 DOI: 10.1016/j.ascom.2023.100762

K.Y. Kim, H.W. Lee

{"title":"Investigating the suitability of data-driven methods for extracting physical parameters in cosmological models","authors":"K.Y. Kim, H.W. Lee","doi":"10.1016/j.ascom.2023.100762","DOIUrl":"https://doi.org/10.1016/j.ascom.2023.100762","url":null,"abstract":"<div><p>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 the development of more sophisticated data analysis techniques or the formulation of new theoretical models. The estimation of some cosmological parameters exhibits variations depending on the chosen physical model, even when utilizing the same observational data. In order to overcome model-dependence, alternative methods such as machine learning techniques based solely on observed data are being explored. However, it is crucial to acknowledge that while this approach may provide insights into the underlying physical laws, it also carries the risk of generating entirely unphysical interpretations.</p><p>The primary objective of this article is to identify the most appropriate data-driven method for extracting physical parameters in cosmological models, with a specific focus on determining the values of two critical parameters: the Hubble constant (<span><math><msub><mrow><mi>H</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span>) and the density parameter for dark energy (<span><math><msubsup><mrow><mi>Ω</mi></mrow><mrow><mi>Λ</mi></mrow><mrow><mn>0</mn></mrow></msubsup></math></span>). Our research findings demonstrate a rigorous comparison between the results derived exclusively from observational data and those predicted by the theoretical <span><math><mi>ΛCDM</mi></math></span> (Lambda Cold Dark Matter) model. Through this comparative analysis, we have successfully reaffirmed the effectiveness of the <span><math><mi>ΛCDM</mi></math></span> model in accurately describing the current observed universe.</p></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"45 ","pages":"Article 100762"},"PeriodicalIF":2.5,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92142395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0