Astronomy and Computing最新文献_第7页

A new approach to web-programming: Binary star DataBase (BDB) engine 一种新的web编程方法：双星数据库（BDB）引擎

IF 1.8 4区物理与天体物理

Astronomy and Computing Pub Date : 2026-01-01 Epub Date: 2025-11-12 DOI: 10.1016/j.ascom.2025.101025

Pavel Kaygorodov , Ekaterina Malik , Dana Kovaleva , Oleg Malkov , Bernard Debray

引用次数: 0

Towards automating initial conditions for GALFIT models of spiral galaxies using SpArcFiRe’s outputs 利用SpArcFiRe的输出实现螺旋星系GALFIT模型初始条件的自动化

IF 1.8 4区物理与天体物理

Astronomy and Computing Pub Date : 2026-01-01 Epub Date: 2025-09-20 DOI: 10.1016/j.ascom.2025.100994

Matthew E. Portman , Wayne B. Hayes

{"title":"Towards automating initial conditions for GALFIT models of spiral galaxies using SpArcFiRe’s outputs","authors":"Matthew E. Portman , Wayne B. Hayes","doi":"10.1016/j.ascom.2025.100994","DOIUrl":"10.1016/j.ascom.2025.100994","url":null,"abstract":"<div><div>Spiral galaxies constitute a significant fraction of galaxies observed in the local universe yet their characteristic structure is not well understood. Current methods of analysis rely on manual intervention and expertise, both of which present a significant barrier to the investigation of spiral structure at the scale of modern observational surveys. We present an automated pipeline that uses the simple, one-dimensional arc analysis from <span>SpArcFiRe</span> to generate an initial guess for <span>GALFIT</span> to produce two-dimensional photometric decompositions of spiral galaxies. Using this pipeline, we produce two and three component decompositions of several samples of spiral galaxies from the SDSS DR7 data release, as selected by the Galaxy Zoo team. We then assess the performance of our method, validating our results by eye, and analyze the resultant parameterization of these in bulk. Our largest sample is 28912 galaxies, of which we estimate 54% (about 15,700) of the models accurately map the visible structure of the original observations. We identify trends in the Sérsic indices, magnitudes, and arm-to-total flux ratios, and compare these trends to previous decomposition studies, finding general agreement in the arm-to-total flux ratio. Of the other parameters, there is evidence that our models overfit the observations, causing disagreement. Finally, we present an extension to our method that evaluates the model’s pitch angle as it varies along the length of the arm.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"54 ","pages":"Article 100994"},"PeriodicalIF":1.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159564","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

Exploring the effects of Hawking evaporation on accretion disk, greybody factors and scalar perturbations of AdS black hole in f(Q) cosmologies 探索f(Q)宇宙观中霍金蒸发对吸积盘、灰体因子和AdS黑洞标量摄动的影响

IF 1.8 4区物理与天体物理

Astronomy and Computing Pub Date : 2026-01-01 Epub Date: 2025-10-22 DOI: 10.1016/j.ascom.2025.101017

Shahid Chaudhary , Muhammad Danish Sultan , Asifa Ashraf , Ali M. Mubaraki , Saad Althobaiti , Farruh Atamurotov , Asif Mahmood

{"title":"Exploring the effects of Hawking evaporation on accretion disk, greybody factors and scalar perturbations of AdS black hole in f(Q) cosmologies","authors":"Shahid Chaudhary , Muhammad Danish Sultan , Asifa Ashraf , Ali M. Mubaraki , Saad Althobaiti , Farruh Atamurotov , Asif Mahmood","doi":"10.1016/j.ascom.2025.101017","DOIUrl":"10.1016/j.ascom.2025.101017","url":null,"abstract":"<div><div>We consider recently developed AdS black hole in <span><math><mrow><mi>f</mi><mrow><mo>(</mo><mi>Q</mi><mo>)</mo></mrow></mrow></math></span> cosmologies to ascertain how accretion, graybody factors and scalar perturbations are effected by Hawking evaporation. We utilize Stefan–Boltzmann law to construct numerical plots exhibiting various evaporation patterns through distinct models. Our findings provide a realistic but distinct rate of mass loss across the models revealing the substantial impact of parameters as well as sensitivity of evaporation process to the underlying gravitational theory. We employ Novikov–Thorne model to investigate the thin accretion disks onto AdS black hole in <span><math><mrow><mi>f</mi><mrow><mo>(</mo><mi>Q</mi><mo>)</mo></mrow></mrow></math></span> cosmologies. We compute direct and secondary images of the black hole’s accretion disk at different observational angles. We observe that the considered model significantly effects the structure of accretion disks and gravitational lensing. Moreover, we explore time evolution of black hole under the influence of physical parameters. We infer the pattern of both the gradual and quick decay precipitated by varying geometric configuration in <span><math><mrow><mi>f</mi><mrow><mo>(</mo><mi>Q</mi><mo>)</mo></mrow></mrow></math></span> gravity. We observe that higher values of <span><math><mrow><mi>f</mi><mrow><mo>(</mo><mi>Q</mi><mo>)</mo></mrow></mrow></math></span> gravity parameters lower the greybody factor bound across all frequencies. This suggest that higher values of the parameters suppress the escape of radiation from the black hole.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"54 ","pages":"Article 101017"},"PeriodicalIF":1.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145363559","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

Decoding the Radio Sky: Bayesian ensemble learning and SVD-based feature extraction for automated radio galaxy classification 解码射电天空：基于贝叶斯集成学习和svd的自动射电星系分类特征提取

IF 1.8 4区物理与天体物理

Astronomy and Computing Pub Date : 2026-01-01 Epub Date: 2025-10-22 DOI: 10.1016/j.ascom.2025.101018

Theophilus Ansah-Narh , Jordan Lontsi Tedongmo , Joseph Bremang Tandoh , Nia Imara , Ezekiel Nii Noye Nortey

{"title":"Decoding the Radio Sky: Bayesian ensemble learning and SVD-based feature extraction for automated radio galaxy classification","authors":"Theophilus Ansah-Narh , Jordan Lontsi Tedongmo , Joseph Bremang Tandoh , Nia Imara , Ezekiel Nii Noye Nortey","doi":"10.1016/j.ascom.2025.101018","DOIUrl":"10.1016/j.ascom.2025.101018","url":null,"abstract":"<div><div>The classification of radio galaxies is central to understanding galaxy evolution, active galactic nuclei dynamics, and the large-scale structure of the universe. However, traditional manual techniques are inadequate for processing the massive, heterogeneous datasets generated by modern radio surveys. In this study, we present a probabilistic machine learning framework that integrates Singular Value Decomposition (SVD) for feature extraction with Bayesian ensemble learning to achieve robust, scalable radio galaxy classification. The SVD approach effectively reduces dimensionality while preserving key morphological structures, enabling efficient representation of galaxy features. To mitigate class imbalance and avoid the introduction of artefacts, we incorporate a Local Neighbourhood Encoding strategy tailored to the astrophysical distribution of galaxy types. The resulting features are used to train and optimise several baseline classifiers: Logistic Regression, Support Vector Machines, LightGBM, and Multi-Layer Perceptrons within bagging, boosting, and stacking ensembles governed by a Bayesian weighting scheme. Our results demonstrate that Bayesian ensembles outperform their traditional counterparts across all metrics, with the Bayesian stacking model achieving a classification accuracy of 99.0% and an F1-score of 0.99 across Compact, Bent, Fanaroff–Riley Type I (FR-I), and Type II (FR-II) sources. Interpretability is enhanced through SHAP analysis, which highlights the principal components most associated with morphological distinctions. Beyond improving classification performance, our framework facilitates uncertainty quantification, paving the way for more reliable integration into next-generation survey pipelines. This work contributes a reproducible and interpretable methodology for automated galaxy classification in the era of data-intensive radio astronomy.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"54 ","pages":"Article 101018"},"PeriodicalIF":1.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145417556","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

Nessie: A rust-powered, fast, flexible, and generalized friends-of-friends galaxy-group finder in R and Python Nessie：一个用R和Python编写的、由rust驱动的、快速的、灵活的、广义的朋友的朋友星系群查找器

IF 1.8 4区物理与天体物理

Astronomy and Computing Pub Date : 2026-01-01 Epub Date: 2025-09-23 DOI: 10.1016/j.ascom.2025.101011

Trystan S. Lambert , A.S.G. Robotham , M. Bravo , C. del P. Lagos , R. Tobar , S. Driver , A. Aufan Stoffels d’Hautefort

{"title":"Nessie: A rust-powered, fast, flexible, and generalized friends-of-friends galaxy-group finder in R and Python","authors":"Trystan S. Lambert , A.S.G. Robotham , M. Bravo , C. del P. Lagos , R. Tobar , S. Driver , A. Aufan Stoffels d’Hautefort","doi":"10.1016/j.ascom.2025.101011","DOIUrl":"10.1016/j.ascom.2025.101011","url":null,"abstract":"<div><div>We introduce <span>Nessie</span>, a galaxy group finder implemented in <span>Rust</span> and distributed as both a <span>Python</span> and <span>R</span> package. <span>Nessie</span> employs the friends-of-friends (FoF) algorithm and requires only on-sky position and redshift as input, making it immediately applicable to surveys that lack a well-defined luminosity function. We implement several algorithmic optimizations – including binary search and k-d tree pre-selection – that significantly improve performance by reducing unnecessary galaxy pair checks. To validate the accuracy of <span>Nessie</span>, we tune its parameters using a suite of GALFORM mock lightcones and achieve a strong Figure of Merit. We further demonstrate its reliability by applying it to both the GAMA and SDSS surveys, where it produces group catalogues consistent with those in the literature. Additional functionality is included for comparison with simulations and mock catalogues. Benchmarking on a standard MacBook Pro (M3 chip with 11 cores) shows that version 1 of <span>Nessie</span> can process <span><math><mo>∼</mo></math></span>1 million galaxies in <span><math><mrow><mo>∼</mo><mn>10</mn></mrow></math></span> s, highlighting its speed and suitability for next-generation redshift surveys.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"54 ","pages":"Article 101011"},"PeriodicalIF":1.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159563","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

Binary black hole parameter estimation with hybrid CNN-Transformer Neural Networks 基于CNN-Transformer混合神经网络的双黑洞参数估计

IF 1.8 4区物理与天体物理

Astronomy and Computing Pub Date : 2026-01-01 Epub Date: 2025-11-19 DOI: 10.1016/j.ascom.2025.101027

Panagiotis N. Sakellariou , Spiros V. Georgakopoulos , Sotiris Tasoulis , Vassilis P. Plagianakos

{"title":"Binary black hole parameter estimation with hybrid CNN-Transformer Neural Networks","authors":"Panagiotis N. Sakellariou , Spiros V. Georgakopoulos , Sotiris Tasoulis , Vassilis P. Plagianakos","doi":"10.1016/j.ascom.2025.101027","DOIUrl":"10.1016/j.ascom.2025.101027","url":null,"abstract":"<div><div>The detection of gravitational waves has revolutionized our ability to explore fundamental aspects of the Universe. Traditionally, modeled gravitational-wave signals have been identified using template-based matched filtering, followed by coincidence analysis across multiple detectors in the signal-to-noise ratio time series. Recent advances in Machine Learning and Deep Learning have sparked growing interest in their application to both signal detection and parameter estimation. In this study, a hybrid Deep Learning strategy is proposed that leverages the effectiveness of Transformer encoders alongside well-established Convolutional Neural Network architectures in an attempt to estimate the intrinsic and extrinsic parameters of non-precessing binary black hole systems. The primary focus of this work is point estimation, producing single best-fit values for each parameter rather than full posterior distributions. This method is evaluated on both simulated signals embedded in Gaussian noise and real gravitational-wave events, and it demonstrates strong predictive performance and robustness across key astrophysical parameters.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"54 ","pages":"Article 101027"},"PeriodicalIF":1.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614861","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

First single-star scidar measurements at Oukaimeden Observatory, Morocco 摩洛哥Oukaimeden天文台首次测量单星sidar

IF 1.8 4区物理与天体物理

Astronomy and Computing Pub Date : 2026-01-01 Epub Date: 2025-10-17 DOI: 10.1016/j.ascom.2025.101015

Y. Errazzouki , A. Habib , A. Jabiri , M. Sabil , Z. Benkhaldoun , J. Chafi , M. El bahraoui , Y. El jariri

{"title":"First single-star scidar measurements at Oukaimeden Observatory, Morocco","authors":"Y. Errazzouki , A. Habib , A. Jabiri , M. Sabil , Z. Benkhaldoun , J. Chafi , M. El bahraoui , Y. El jariri","doi":"10.1016/j.ascom.2025.101015","DOIUrl":"10.1016/j.ascom.2025.101015","url":null,"abstract":"<div><div>This study aims to validate the initial performance of the Single Star SCIDAR (SSS) instrument recently deployed at the Oukaimeden Observatory in Morocco. The primary objectives are twofold: (i) to assess its capability to retrieve real-time vertical profiles of the refractive index structure constant, <span><math><mrow><msubsup><mrow><mi>C</mi></mrow><mrow><mi>n</mi></mrow><mrow><mn>2</mn></mrow></msubsup><mrow><mo>(</mo><mi>h</mi><mo>)</mo></mrow></mrow></math></span>, up to an altitude of 22 km, and (ii) to establish the reliability of the SSS system for real-time turbulence profiling, thereby confirming its suitability for prospective applications in adaptive optics. The (SSS) retrieves these profiles by analyzing single-star scintillation through a modified power spectrum of atmospheric speckles. An objective function is derived and minimized using the Active-Set optimization algorithm, enabling accurate and real-time reconstruction of <span><math><mrow><msubsup><mrow><mi>C</mi></mrow><mrow><mi>n</mi></mrow><mrow><mn>2</mn></mrow></msubsup><mrow><mo>(</mo><mi>h</mi><mo>)</mo></mrow></mrow></math></span> profiles.</div><div>A total of 34 h of data were collected from August 25 to 29, 2024. The reconstructed profiles and integrated seeing values are in good agreement with independent measurements from the Cyclope seeing monitor, confirming the reliability of the (SSS) system. Beyond site characterization, these results highlight the practical significance of real-time turbulence profile extraction, which allows adaptive-optics systems of next-generation 4 m-class telescopes to be adjusted more effectively to the prevailing atmospheric conditions. In addition, the compact and autonomous design of the (SSS) makes it particularly suitable for deployment at remote observatories with limited infrastructure.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"54 ","pages":"Article 101015"},"PeriodicalIF":1.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145325032","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

CHEOPS ground segment: Systems and automation for mission and science operations CHEOPS地面部分：用于任务和科学操作的系统和自动化

IF 1.8 4区物理与天体物理

Astronomy and Computing Pub Date : 2026-01-01 Epub Date: 2025-10-30 DOI: 10.1016/j.ascom.2025.101016

Alexis Heitzmann , María J. González Bonilla , Anja Bekkelien , Babatunde Akinsanmi , Mathias O.W. Beck , Nicolas Billot , Christopher Broeg , Adrien Deline , David Ehrenreich , Andrea Fortier , Marcus G.F. Kirsch , Monika Lendl , Nuria Alfaro Llorente , Naiara Fernández de Bobadilla Vallano , María Fuentes Tabas , Anthony G. Maldonado , Eva M. Vega Carrasco , David Modrego Contreras

{"title":"CHEOPS ground segment: Systems and automation for mission and science operations","authors":"Alexis Heitzmann , María J. González Bonilla , Anja Bekkelien , Babatunde Akinsanmi , Mathias O.W. Beck , Nicolas Billot , Christopher Broeg , Adrien Deline , David Ehrenreich , Andrea Fortier , Marcus G.F. Kirsch , Monika Lendl , Nuria Alfaro Llorente , Naiara Fernández de Bobadilla Vallano , María Fuentes Tabas , Anthony G. Maldonado , Eva M. Vega Carrasco , David Modrego Contreras","doi":"10.1016/j.ascom.2025.101016","DOIUrl":"10.1016/j.ascom.2025.101016","url":null,"abstract":"<div><div>The CHaracterising ExOPlanet Satellite (CHEOPS) is the first European Space Agency (ESA) small-class mission. It has been performing photometric astronomical observations with a particular emphasis on exoplanetary science for the past five years. A distinctive feature of CHEOPS is that the responsibility for all operational aspects of the mission lies with the CHEOPS consortium rather than ESA. As a result, all subsystems, their architecture, and operational processes have been independently developed and tailored specifically to CHEOPS. This paper offers an overview of the CHEOPS operational subsystems, the design, and the automation framework that compose the two main components of the CHEOPS ground segment: the Mission Operations Center (MOC) and the Science Operations Center (SOC). This comprehensive description of the CHEOPS workflow aims to serve as a reference and potential source of inspiration for future small and/or independent space missions.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"54 ","pages":"Article 101016"},"PeriodicalIF":1.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145466461","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

Neural networks in the search for fast radio bursts with RATAN-600 用神经网络搜索RATAN-600的快速射电暴

IF 1.8 4区物理与天体物理

Astronomy and Computing Pub Date : 2026-01-01 Epub Date: 2025-09-13 DOI: 10.1016/j.ascom.2025.101002

D.O. Kudryavtsev , S.A. Trushkin , P.G. Tsybulev , V.A. Stolyarov

引用次数: 0

From global climate models (GCMs) to exoplanet spectra with the Global Emission Spectra (GlobES) 从全球气候模式（GCMs）到具有全球发射光谱（GlobES）的系外行星光谱

IF 1.9 4区物理与天体物理

Astronomy and Computing Pub Date : 2025-10-01 Epub Date: 2025-07-10 DOI: 10.1016/j.ascom.2025.100982

Thomas J. Fauchez , Geronimo L. Villanueva , Vincent Kofman , Gabriella Suissa , Ravi K. Kopparapu

{"title":"From global climate models (GCMs) to exoplanet spectra with the Global Emission Spectra (GlobES)","authors":"Thomas J. Fauchez , Geronimo L. Villanueva , Vincent Kofman , Gabriella Suissa , Ravi K. Kopparapu","doi":"10.1016/j.ascom.2025.100982","DOIUrl":"10.1016/j.ascom.2025.100982","url":null,"abstract":"<div><div>In the quest to understand the climates and atmospheres of exoplanets, 3D global climate models (GCMs) have become indispensable. The ability of GCMs to predict atmospheric conditions complements exoplanet observations, creating a feedback loop that enhances our understanding of exoplanetary atmospheres and their environments. This paper discusses the capabilities of the Global Exoplanet Spectra (GlobES) module of the Planetary Spectrum Generator (PSG), which incorporates 3D atmospheric and surface information into spectral simulations, offering a free, accessible tool for the scientific community to study realistic planetary atmospheres. Through detailed case studies, including simulations of TRAPPIST-1 b , TRAPPIST-1 e, and Earth around Sun, this paper demonstrates the use of GlobES and its effectiveness in simulating transit, emission and reflected spectra, thus supporting the ongoing development and refinement of observational strategies using the James Webb Space Telescope (JWST) and future mission concept studies (e.g., Habitable Worlds Observatory [HWO]) in exoplanet research.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"53 ","pages":"Article 100982"},"PeriodicalIF":1.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144595809","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