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The influence of spin in black hole triplets
IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS Pub Date : 2025-01-31 DOI: 10.1016/j.ascom.2025.100933
A. Chitan , A. Mylläri , M. Valtonen
Spin can influence the dynamics of the already chaotic black hole triplet system. We follow this problem in two sets of simulations: first, the Agekian–Anosova region (or region D), and second, using Pythagorean triangles. We use ARCcode, an N-body code that performs numerical integration of orbits. This code includes post-Newtonian corrections, which we include up to the 2.5th order. In set one of our simulations, we fix the masses of the black holes at 106 M. Then we run the simulations first without any spin added and after by initialising spin on one of the black holes. We find that after including spin into the system, 12.9% of the simulations changed outcomes. Either the systems went from having all black holes merging to having a black hole escaping the system, or vice versa. In the second set of simulations, we expanded into Pythagorean triangles as initial positions of black holes, stemming from Burrau’s three-body problem. We varied the masses of the black holes from 100 M–1012 M. Black holes in these systems were given spin in normalised units ranging from 0 to 0.95. We find that intermediate mass black holes in the range of 104 M–105 M, were influenced the most by spin, particularly in their lifetimes. We also find that simulations, initialised as 2-dimensional, become 3-dimensional.
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引用次数: 0
Emulators for stellar profiles in binary population modeling
IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS Pub Date : 2025-01-31 DOI: 10.1016/j.ascom.2025.100935
Elizabeth Teng , Ugur Demir , Zoheyr Doctor , Philipp M. Srivastava , Shamal Lalvani , Vicky Kalogera , Aggelos Katsaggelos , Jeff J. Andrews , Simone S. Bavera , Max M. Briel , Seth Gossage , Konstantinos Kovlakas , Matthias U. Kruckow , Kyle Akira Rocha , Meng Sun , Zepei Xing , Emmanouil Zapartas
Knowledge about the internal physical structure of stars is crucial to understanding their evolution. The novel binary population synthesis code POSYDON includes a module for interpolating the stellar and binary properties of any system at the end of binary MESA evolution based on a pre-computed set of models. In this work, we present a new emulation method for predicting stellar profiles, i.e., the internal stellar structure along the radial axis, using machine learning techniques. We use principal component analysis for dimensionality reduction and fully-connected feed-forward neural networks for making predictions. We find accuracy to be comparable to that of nearest neighbor approximation, with a strong advantage in terms of memory and storage efficiency. By providing a versatile framework for modeling stellar internal structure, the emulation method presented here will enable faster simulations of higher physical fidelity, offering a foundation for a wide range of large-scale population studies of stellar and binary evolution.
{"title":"Emulators for stellar profiles in binary population modeling","authors":"Elizabeth Teng ,&nbsp;Ugur Demir ,&nbsp;Zoheyr Doctor ,&nbsp;Philipp M. Srivastava ,&nbsp;Shamal Lalvani ,&nbsp;Vicky Kalogera ,&nbsp;Aggelos Katsaggelos ,&nbsp;Jeff J. Andrews ,&nbsp;Simone S. Bavera ,&nbsp;Max M. Briel ,&nbsp;Seth Gossage ,&nbsp;Konstantinos Kovlakas ,&nbsp;Matthias U. Kruckow ,&nbsp;Kyle Akira Rocha ,&nbsp;Meng Sun ,&nbsp;Zepei Xing ,&nbsp;Emmanouil Zapartas","doi":"10.1016/j.ascom.2025.100935","DOIUrl":"10.1016/j.ascom.2025.100935","url":null,"abstract":"<div><div>Knowledge about the internal physical structure of stars is crucial to understanding their evolution. The novel binary population synthesis code <span>POSYDON</span> includes a module for interpolating the stellar and binary properties of any system at the end of binary <span>MESA</span> evolution based on a pre-computed set of models. In this work, we present a new emulation method for predicting stellar profiles, <em>i.e</em>., the internal stellar structure along the radial axis, using machine learning techniques. We use principal component analysis for dimensionality reduction and fully-connected feed-forward neural networks for making predictions. We find accuracy to be comparable to that of nearest neighbor approximation, with a strong advantage in terms of memory and storage efficiency. By providing a versatile framework for modeling stellar internal structure, the emulation method presented here will enable faster simulations of higher physical fidelity, offering a foundation for a wide range of large-scale population studies of stellar and binary evolution.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"51 ","pages":"Article 100935"},"PeriodicalIF":1.9,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143348556","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
Compression method for solar polarization spectra collected from Hinode SOT/SP observations
IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS Pub Date : 2025-01-31 DOI: 10.1016/j.ascom.2025.100929
J. Batmunkh , Y. Iida , T. Oba , H. Iijima
The rapidly increasing volume of observational solar spectral data poses challenges for efficient and accurate analysis. To address this issue, we present a deep learning-based compression technique using the deep autoencoder (DAE) and 1D-convolutional autoencoder (CAE) models, developed for use on the Hinode SOT/SP data. This technique focuses on compressing Stokes I and V polarization spectra from sunspots in addition to the quiet Sun, offering a wider and more efficient avenue for spectral analyses.
Our findings reveal that the CAE model surpasses the DAE model in reconstructing Stokes profiles, exhibiting enhanced robustness and achieving reconstruction errors close to the observational noise level. The proposed technique is demonstrated to be effective in compressing Stokes I and V spectra from both the quiet Sun and sunspots, highlighting its potential for transformative applications in solar spectral analyses, including the identification of unique spectral signatures.
{"title":"Compression method for solar polarization spectra collected from Hinode SOT/SP observations","authors":"J. Batmunkh ,&nbsp;Y. Iida ,&nbsp;T. Oba ,&nbsp;H. Iijima","doi":"10.1016/j.ascom.2025.100929","DOIUrl":"10.1016/j.ascom.2025.100929","url":null,"abstract":"<div><div>The rapidly increasing volume of observational solar spectral data poses challenges for efficient and accurate analysis. To address this issue, we present a deep learning-based compression technique using the deep autoencoder (DAE) and 1D-convolutional autoencoder (CAE) models, developed for use on the Hinode SOT/SP data. This technique focuses on compressing Stokes I and V polarization spectra from sunspots in addition to the quiet Sun, offering a wider and more efficient avenue for spectral analyses.</div><div>Our findings reveal that the CAE model surpasses the DAE model in reconstructing Stokes profiles, exhibiting enhanced robustness and achieving reconstruction errors close to the observational noise level. The proposed technique is demonstrated to be effective in compressing Stokes I and V spectra from both the quiet Sun and sunspots, highlighting its potential for transformative applications in solar spectral analyses, including the identification of unique spectral signatures.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"51 ","pages":"Article 100929"},"PeriodicalIF":1.9,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144122","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
Confirmation of binary clustering in gamma-ray bursts through an integrated p-value from multiple nonparametric tests of hypotheses
IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS Pub Date : 2025-01-31 DOI: 10.1016/j.ascom.2025.100931
S. Modak
The paper applies a new, nonparametric, interpoint distance-based measure to confirm the inherent groups prevailing in the brightest source of light in the universe: gamma-ray bursts. Our effective metric, in association with clustering methods like Gaussian-mixture model-based and K-means algorithms, resolves the conflict regarding the possibility about existence of more than binary clusters in the gamma-ray burst population. Here we carry out multiple nonparametric statistical tests of hypotheses, as many as the number of bursts available from the ‘BATSE’ catalog. An integrated p-value achieved from the aforesaid dependent tests solves our concern confirming two groups of short and long bursts.
{"title":"Confirmation of binary clustering in gamma-ray bursts through an integrated p-value from multiple nonparametric tests of hypotheses","authors":"S. Modak","doi":"10.1016/j.ascom.2025.100931","DOIUrl":"10.1016/j.ascom.2025.100931","url":null,"abstract":"<div><div>The paper applies a new, nonparametric, interpoint distance-based measure to confirm the inherent groups prevailing in the brightest source of light in the universe: gamma-ray bursts. Our effective metric, in association with clustering methods like Gaussian-mixture model-based and <span><math><mi>K</mi></math></span>-means algorithms, resolves the conflict regarding the possibility about existence of more than binary clusters in the gamma-ray burst population. Here we carry out multiple nonparametric statistical tests of hypotheses, as many as the number of bursts available from the ‘BATSE’ catalog. An integrated <span><math><mi>p</mi></math></span>-value achieved from the aforesaid dependent tests solves our concern confirming two groups of short and long bursts.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"51 ","pages":"Article 100931"},"PeriodicalIF":1.9,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143268282","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
Disentangling transients and their host galaxies with scarlet2: A framework to forward model multi-epoch imaging
IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS Pub Date : 2025-01-30 DOI: 10.1016/j.ascom.2025.100930
C. Ward , P. Melchior , M.L. Sampson , C.J. Burke , J. Siegel , B. Remy , S. Birmingham , E. Ramey , S. van Velzen
Many science cases for wide-field time-domain surveys rely on accurate identification and characterization of the galaxies hosting transient and variable objects. In the era of the Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observatory the number of known transient and variable sources will grow by orders of magnitude, and many of these sources will be blended with their host galaxies and neighboring galaxies. A diverse range of applications – including the classification of nuclear and non-nuclear sources, identification of potential host galaxies in deep fields, extraction of host galaxy spectral energy distributions without requiring a transient-free reference image, and combined analysis of photometry from multiple surveys – will benefit from a flexible framework to model time-domain imaging of transients. We describe a time-domain extension of the scarlet2 scene modeling code for multi-epoch, multi-band, and multi-resolution imaging data to extract simultaneous transient and host galaxy models. scarlet2 leverages the benefits of data-driven priors on galaxy morphology, is fully GPU compatible, and can jointly model multi-resolution data from ground and space-based surveys. We demonstrate the method on simulated LSST-like supernova imaging, low-resolution Zwicky Transient Facility imaging of tidal disruption events, and Hyper Suprime Cam imaging of variable AGN out to z=4 in the COSMOS fields. We show that scarlet2 models provide accurate transient and host galaxy models as well as accurate measurement of host–transient spatial offsets, and demonstrate future applications to the search for ‘wandering’ massive black holes.
{"title":"Disentangling transients and their host galaxies with scarlet2: A framework to forward model multi-epoch imaging","authors":"C. Ward ,&nbsp;P. Melchior ,&nbsp;M.L. Sampson ,&nbsp;C.J. Burke ,&nbsp;J. Siegel ,&nbsp;B. Remy ,&nbsp;S. Birmingham ,&nbsp;E. Ramey ,&nbsp;S. van Velzen","doi":"10.1016/j.ascom.2025.100930","DOIUrl":"10.1016/j.ascom.2025.100930","url":null,"abstract":"<div><div>Many science cases for wide-field time-domain surveys rely on accurate identification and characterization of the galaxies hosting transient and variable objects. In the era of the Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observatory the number of known transient and variable sources will grow by orders of magnitude, and many of these sources will be blended with their host galaxies and neighboring galaxies. A diverse range of applications – including the classification of nuclear and non-nuclear sources, identification of potential host galaxies in deep fields, extraction of host galaxy spectral energy distributions without requiring a transient-free reference image, and combined analysis of photometry from multiple surveys – will benefit from a flexible framework to model time-domain imaging of transients. We describe a time-domain extension of the <span>scarlet2</span> scene modeling code for multi-epoch, multi-band, and multi-resolution imaging data to extract simultaneous transient and host galaxy models. <span>scarlet2</span> leverages the benefits of data-driven priors on galaxy morphology, is fully GPU compatible, and can jointly model multi-resolution data from ground and space-based surveys. We demonstrate the method on simulated LSST-like supernova imaging, low-resolution Zwicky Transient Facility imaging of tidal disruption events, and Hyper Suprime Cam imaging of variable AGN out to <span><math><mrow><mi>z</mi><mo>=</mo><mn>4</mn></mrow></math></span> in the COSMOS fields. We show that <span>scarlet2</span> models provide accurate transient and host galaxy models as well as accurate measurement of host–transient spatial offsets, and demonstrate future applications to the search for ‘wandering’ massive black holes.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"51 ","pages":"Article 100930"},"PeriodicalIF":1.9,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377213","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
Data based investigation on galaxy formation and evolution theory through statistical techniques
IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS Pub Date : 2025-01-30 DOI: 10.1016/j.ascom.2025.100928
Prasenjit Banerjee , Tanuka Chattopadhyay , Asis Kumar Chattopadhyay
The present work deals with a large data set of star-forming as well as quiescent galaxies at red shifts ranging from 0 to 4 (0z4). The present selected catalogues of objects have been compiled from the NEWFIRM Medium-Band Survey (NMBS). We have concatenated both the catalogues AEGIS and COSMOS, present in NMBS, one after another to form a master catalog. Several derivable parameters were present in the catalog, but we have limited our choice to the observable as well as the physical parameters of the galaxies. In this paper, we have studied the evolutionary pattern of the galaxies by dividing them into various groups according to red shift, and observing the distributional pattern of those groups. Later, the evolutionary pattern of the galaxies is investigated by examining the size-mass relationship corresponding to these groups and comparing the level of dependence of the parameters under study.
In order to perform a proper analysis of the data for the above-mentioned objectives, we have used statistical techniques like multiple testing, the Shapiro–Wilk test, independent component analysis, multivariate outlier detection, multivariate kernel density estimation, and kernel regularized least squares method. Two noble findings that have been observed in this work are (a) The galaxy parameters with high red shifts (z > 3.5) follow a multivariate Gaussian distribution, helping us to infer that high red shift (z > 3.5) galaxy parameters show more randomness compared to other galaxies with z<3.5. (b) There is a deviation from the linearity of the covariates in very high-redshift galaxies (z > 3.5) for modeling log mass as a response variable. The same is also observed with the half-life radius as the response variable, although there exists a linear relationship between the mass and the effective radius of the galaxy. These observations may be treated as new findings of the present study.
{"title":"Data based investigation on galaxy formation and evolution theory through statistical techniques","authors":"Prasenjit Banerjee ,&nbsp;Tanuka Chattopadhyay ,&nbsp;Asis Kumar Chattopadhyay","doi":"10.1016/j.ascom.2025.100928","DOIUrl":"10.1016/j.ascom.2025.100928","url":null,"abstract":"<div><div>The present work deals with a large data set of star-forming as well as quiescent galaxies at red shifts ranging from 0 to 4 (0<span><math><mo>≤</mo></math></span>z<span><math><mo>≤</mo></math></span>4). The present selected catalogues of objects have been compiled from the NEWFIRM Medium-Band Survey (NMBS). We have concatenated both the catalogues AEGIS and COSMOS, present in NMBS, one after another to form a master catalog. Several derivable parameters were present in the catalog, but we have limited our choice to the observable as well as the physical parameters of the galaxies. In this paper, we have studied the evolutionary pattern of the galaxies by dividing them into various groups according to red shift, and observing the distributional pattern of those groups. Later, the evolutionary pattern of the galaxies is investigated by examining the size-mass relationship corresponding to these groups and comparing the level of dependence of the parameters under study.</div><div>In order to perform a proper analysis of the data for the above-mentioned objectives, we have used statistical techniques like multiple testing, the Shapiro–Wilk test, independent component analysis, multivariate outlier detection, multivariate kernel density estimation, and kernel regularized least squares method. Two noble findings that have been observed in this work are (a) The galaxy parameters with high red shifts (z <span><math><mo>&gt;</mo></math></span> 3.5) follow a multivariate Gaussian distribution, helping us to infer that high red shift (z <span><math><mo>&gt;</mo></math></span> 3.5) galaxy parameters show more randomness compared to other galaxies with z<span><math><mo>&lt;</mo></math></span>3.5. (b) There is a deviation from the linearity of the covariates in very high-redshift galaxies (z <span><math><mo>&gt;</mo></math></span> 3.5) for modeling log mass as a response variable. The same is also observed with the half-life radius as the response variable, although there exists a linear relationship between the mass and the effective radius of the galaxy. These observations may be treated as new findings of the present study.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"51 ","pages":"Article 100928"},"PeriodicalIF":1.9,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144126","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
FRELLED Reloaded: Multiple techniques for astronomical data visualisation in Blender
IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS Pub Date : 2025-01-17 DOI: 10.1016/j.ascom.2024.100927
R. Taylor
I present version 5.0 of FRELLED, the FITS Realtime Explorer of Low Latency in Every Dimension. This is a 3D data visualisation package for the popular Blender art software, designed to allow inspection of astronomical volumetric data sets (primarily, but not exclusively, radio wavelength data cubes) in real time using a variety of visualisation techniques. The suite of Python scripts that comprise FRELLED have been almost completely recoded and many new ones added, bringing FRELLED’s operating environment from Blender version 2.49 to 2.79. Principle new features include: an enormously simplified installation procedure, a more modular graphical appearance that takes advantage of Blender 2.79’s improved interface, much faster loading of FITS data, support for larger data sets, options to show the data as height maps in 2D mode or isosurfaces in 3D mode, utilisation of standard astropy and other Python modules to support a greater range of FITS files (with a particular emphasis on higher-frequency radio data such as from ALMA, the Atacama Large Millimetre Array), and the capability of exporting the data to Blender 2.9+ which supports stereoscopic 3D displays in virtual reality headsets. In addition, in-built help files are accessible from each menu panel, as well as direct links to a complete wiki and set of video tutorials. Finally, the code itself is much more modular, allowing easier maintainability and, over the longer term, a far easier prospect of migrating to more recent versions of Blender.
{"title":"FRELLED Reloaded: Multiple techniques for astronomical data visualisation in Blender","authors":"R. Taylor","doi":"10.1016/j.ascom.2024.100927","DOIUrl":"10.1016/j.ascom.2024.100927","url":null,"abstract":"<div><div>I present version 5.0 of FRELLED, the FITS Realtime Explorer of Low Latency in Every Dimension. This is a 3D data visualisation package for the popular Blender art software, designed to allow inspection of astronomical volumetric data sets (primarily, but not exclusively, radio wavelength data cubes) in real time using a variety of visualisation techniques. The suite of Python scripts that comprise FRELLED have been almost completely recoded and many new ones added, bringing FRELLED’s operating environment from Blender version 2.49 to 2.79. Principle new features include: an enormously simplified installation procedure, a more modular graphical appearance that takes advantage of Blender 2.79’s improved interface, much faster loading of FITS data, support for larger data sets, options to show the data as height maps in 2D mode or isosurfaces in 3D mode, utilisation of standard <em>astropy</em> and other Python modules to support a greater range of FITS files (with a particular emphasis on higher-frequency radio data such as from ALMA, the Atacama Large Millimetre Array), and the capability of exporting the data to Blender 2.9+ which supports stereoscopic 3D displays in virtual reality headsets. In addition, in-built help files are accessible from each menu panel, as well as direct links to a complete wiki and set of video tutorials. Finally, the code itself is much more modular, allowing easier maintainability and, over the longer term, a far easier prospect of migrating to more recent versions of Blender.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"51 ","pages":"Article 100927"},"PeriodicalIF":1.9,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144124","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
DCAPPSO: A novel approach for inverting asteroid rotational properties with applications to DAMIT and Tianwen-2 target asteroid
IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS Pub Date : 2025-01-15 DOI: 10.1016/j.ascom.2024.100925
Yong-Xiong Zhang , Wen-Xiu Guo , Hua Zheng , Wei-Lin Wang
This paper introduces the Dynamic Coefficient Adjustment in Parallel Particle Swarm Optimization (DCAPPSO) algorithm for inverting asteroid rotational properties from lightcurve data. DCAPPSO integrates a Cellinoid shape model with Particle Swarm Optimization (PSO), dynamic coefficient adjustment, and parallel computing, offering improved efficiency and accuracy in asteroid parameter determination. The algorithm’s performance was evaluated using simulated asteroid lightcurves and applied to 24 real asteroids from the DAMIT database, including a detailed case study of asteroid (44)Nysa and an additional discussion of asteroid (433)Eros. Results show excellent consistency with established rotational periods, with uncertainties typically ranging from ± 0.000018 to ± 0.009981 h. Pole orientation determinations demonstrate good agreement, particularly for latitude components. The algorithm’s parallel implementation achieves a speedup of 48.617x with 100 workers on multicore CPUs. DCAPPSO was also applied to asteroid (469219) Kamo’oalewa, the Tianwen-2 mission target, providing new insights into its shape and rotational properties. For Kamo’oalewa, the algorithm derived a rotational period of 0.460510h (27.63 min) and a pole orientation of (134.67°,11.39°). Uncertainty analysis yielded estimates of 133.52°±0.01° for pole longitude, 10.67°±0.05° for pole latitude, and 0.466017 ± 0.006090 h for the rotational period. Shape analysis indicates a moderately elongated form with axis ratios b/a0.67 and c/a0.56. This research advances asteroid inversion techniques, offering an efficient tool to address increasing observational data volumes in planetary science.
{"title":"DCAPPSO: A novel approach for inverting asteroid rotational properties with applications to DAMIT and Tianwen-2 target asteroid","authors":"Yong-Xiong Zhang ,&nbsp;Wen-Xiu Guo ,&nbsp;Hua Zheng ,&nbsp;Wei-Lin Wang","doi":"10.1016/j.ascom.2024.100925","DOIUrl":"10.1016/j.ascom.2024.100925","url":null,"abstract":"<div><div>This paper introduces the Dynamic Coefficient Adjustment in Parallel Particle Swarm Optimization (DCAPPSO) algorithm for inverting asteroid rotational properties from lightcurve data. DCAPPSO integrates a Cellinoid shape model with Particle Swarm Optimization (PSO), dynamic coefficient adjustment, and parallel computing, offering improved efficiency and accuracy in asteroid parameter determination. The algorithm’s performance was evaluated using simulated asteroid lightcurves and applied to 24 real asteroids from the DAMIT database, including a detailed case study of asteroid (44)Nysa and an additional discussion of asteroid (433)Eros. Results show excellent consistency with established rotational periods, with uncertainties typically ranging from ± 0.000018 to ± 0.009981 h. Pole orientation determinations demonstrate good agreement, particularly for latitude components. The algorithm’s parallel implementation achieves a speedup of 48.617x with 100 workers on multicore CPUs. DCAPPSO was also applied to asteroid (469219) Kamo’oalewa, the Tianwen-2 mission target, providing new insights into its shape and rotational properties. For Kamo’oalewa, the algorithm derived a rotational period of <span><math><mrow><mn>0</mn><mo>.</mo><mn>460510</mn><mspace></mspace><mi>h</mi></mrow></math></span> (27.63 min) and a pole orientation of <span><math><mrow><mo>(</mo><mn>134</mn><mo>.</mo><mn>67</mn><mo>°</mo><mo>,</mo><mo>−</mo><mn>11</mn><mo>.</mo><mn>39</mn><mo>°</mo><mo>)</mo></mrow></math></span>. Uncertainty analysis yielded estimates of <span><math><mrow><mn>133</mn><mo>.</mo><mn>52</mn><mo>°</mo><mo>±</mo><mn>0</mn><mo>.</mo><mn>01</mn><mo>°</mo></mrow></math></span> for pole longitude, <span><math><mrow><mo>−</mo><mn>10</mn><mo>.</mo><mn>67</mn><mo>°</mo><mo>±</mo><mn>0</mn><mo>.</mo><mn>05</mn><mo>°</mo></mrow></math></span> for pole latitude, and 0.466017 ± 0.006090 h for the rotational period. Shape analysis indicates a moderately elongated form with axis ratios <span><math><mrow><mi>b</mi><mo>/</mo><mi>a</mi><mo>≈</mo><mn>0</mn><mo>.</mo><mn>67</mn></mrow></math></span> and <span><math><mrow><mi>c</mi><mo>/</mo><mi>a</mi><mo>≈</mo><mn>0</mn><mo>.</mo><mn>56</mn></mrow></math></span>. This research advances asteroid inversion techniques, offering an efficient tool to address increasing observational data volumes in planetary science.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"51 ","pages":"Article 100925"},"PeriodicalIF":1.9,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144127","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
Cosmological behavior of a hyperbolic solution in f(Q) gravity
IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS Pub Date : 2025-01-04 DOI: 10.1016/j.ascom.2024.100926
K. Haloi, R. Roy Baruah
In this work, we study the universe’s dynamics in the context of f(Q) gravity by use of a flat FLRW model. Two particular forms are considered: f(Q)=QλQ and f(Q)=QλQ2, where Q and λ represent the nonmetricity and arbitrary constant, respectively. We take a special form for the scale factor, a=sinh(t)1α, to solve the Friedmann field equations within the f(Q) formalism. The scale factor’s behavior is here determined by the model parameter α. In our model, we primarily analyze the behavior of the equation of state parameter ω. We examine the scalar field and examine the resultant solution’s energy conditions. We use a number of diagnostic techniques, including the Jerk, Om, and statefinder diagnostic tools, to validate our model. We also include the observational constraints from the BAO and Hubble databases. A thorough explanation of the outcomes and the model is given.
{"title":"Cosmological behavior of a hyperbolic solution in f(Q) gravity","authors":"K. Haloi,&nbsp;R. Roy Baruah","doi":"10.1016/j.ascom.2024.100926","DOIUrl":"10.1016/j.ascom.2024.100926","url":null,"abstract":"<div><div>In this work, we study the universe’s dynamics in the context of f(Q) gravity by use of a flat FLRW model. Two particular forms are considered: <span><math><mrow><mi>f</mi><mrow><mo>(</mo><mi>Q</mi><mo>)</mo></mrow><mo>=</mo><mi>Q</mi><mo>−</mo><mi>λ</mi><mi>Q</mi></mrow></math></span> and <span><math><mrow><mi>f</mi><mrow><mo>(</mo><mi>Q</mi><mo>)</mo></mrow><mo>=</mo><mi>Q</mi><mo>−</mo><mi>λ</mi><msup><mrow><mi>Q</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></math></span>, where Q and <span><math><mi>λ</mi></math></span> represent the nonmetricity and arbitrary constant, respectively. We take a special form for the scale factor, <span><math><mrow><mi>a</mi><mo>=</mo><mi>s</mi><mi>i</mi><mi>n</mi><mi>h</mi><msup><mrow><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow></mrow><mrow><mfrac><mrow><mn>1</mn></mrow><mrow><mi>α</mi></mrow></mfrac></mrow></msup></mrow></math></span>, to solve the Friedmann field equations within the f(Q) formalism. The scale factor’s behavior is here determined by the model parameter <span><math><mi>α</mi></math></span>. In our model, we primarily analyze the behavior of the equation of state parameter <span><math><mi>ω</mi></math></span>. We examine the scalar field and examine the resultant solution’s energy conditions. We use a number of diagnostic techniques, including the Jerk, Om, and statefinder diagnostic tools, to validate our model. We also include the observational constraints from the BAO and Hubble databases. A thorough explanation of the outcomes and the model is given.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"51 ","pages":"Article 100926"},"PeriodicalIF":1.9,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144125","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
Observational constraints on quark and strange quark matters in f(R,T) theory of gravity
IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS Pub Date : 2025-01-02 DOI: 10.1016/j.ascom.2024.100924
D.D. Pawar , N.G. Ghungarwar , Shah Muhammad , E. Zotos
We have examined a plane symmetric cosmological model in the presence of quark and strange quark matter with the help of f(R,T) theory of gravity. To find solutions for this type of space–time, we applied a power-law relationship between the scale factor and the deceleration parameter. We used a variable deceleration parameter. We applied constraints on the parameters using the R2 test and obtained the best-fit values for the Hubble parameter H(z) using 57 observed data points, achieving an R2 value of 0.9321 and an RMSE of 11.0716. The best-fit parameters were α=0.5420.022+0.019, β=52.92.7+2.3, and c1=0.8770.058+0.055, resulting in H0=64.390.47+0.04km/s/Mpc. These results show that our model closely matches the ΛCDM model, demonstrating its accuracy in describing the universe’s expansion history across the given redshift range. We also discussed cosmological parameters such as spatial volume, the mean anisotropic parameter, the shear scalar, deceleration parameter, energy density and pressure for quark matter and strange quark matter for plane symmetric spacetime.
{"title":"Observational constraints on quark and strange quark matters in f(R,T) theory of gravity","authors":"D.D. Pawar ,&nbsp;N.G. Ghungarwar ,&nbsp;Shah Muhammad ,&nbsp;E. Zotos","doi":"10.1016/j.ascom.2024.100924","DOIUrl":"10.1016/j.ascom.2024.100924","url":null,"abstract":"<div><div>We have examined a plane symmetric cosmological model in the presence of quark and strange quark matter with the help of <span><math><mrow><mi>f</mi><mrow><mo>(</mo><mi>R</mi><mo>,</mo><mi>T</mi><mo>)</mo></mrow></mrow></math></span> theory of gravity. To find solutions for this type of space–time, we applied a power-law relationship between the scale factor and the deceleration parameter. We used a variable deceleration parameter. We applied constraints on the parameters using the <span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> test and obtained the best-fit values for the Hubble parameter <span><math><mrow><mi>H</mi><mrow><mo>(</mo><mi>z</mi><mo>)</mo></mrow></mrow></math></span> using 57 observed data points, achieving an <span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> value of 0.9321 and an RMSE of 11.0716. The best-fit parameters were <span><math><mrow><mi>α</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>54</mn><msubsup><mrow><mn>2</mn></mrow><mrow><mo>−</mo><mn>0</mn><mo>.</mo><mn>022</mn></mrow><mrow><mo>+</mo><mn>0</mn><mo>.</mo><mn>019</mn></mrow></msubsup></mrow></math></span>, <span><math><mrow><mi>β</mi><mo>=</mo><mn>52</mn><mo>.</mo><msubsup><mrow><mn>9</mn></mrow><mrow><mo>−</mo><mn>2</mn><mo>.</mo><mn>7</mn></mrow><mrow><mo>+</mo><mn>2</mn><mo>.</mo><mn>3</mn></mrow></msubsup></mrow></math></span>, and <span><math><mrow><msub><mrow><mi>c</mi></mrow><mrow><mn>1</mn></mrow></msub><mo>=</mo><mo>−</mo><mn>0</mn><mo>.</mo><mn>87</mn><msubsup><mrow><mn>7</mn></mrow><mrow><mo>−</mo><mn>0</mn><mo>.</mo><mn>058</mn></mrow><mrow><mo>+</mo><mn>0</mn><mo>.</mo><mn>055</mn></mrow></msubsup></mrow></math></span>, resulting in <span><math><mrow><msub><mrow><mi>H</mi></mrow><mrow><mn>0</mn></mrow></msub><mo>=</mo><mn>64</mn><mo>.</mo><mn>3</mn><msubsup><mrow><mn>9</mn></mrow><mrow><mo>−</mo><mn>0</mn><mo>.</mo><mn>47</mn></mrow><mrow><mo>+</mo><mn>0</mn><mo>.</mo><mn>04</mn></mrow></msubsup><mspace></mspace><mtext>km/s/Mpc</mtext></mrow></math></span>. These results show that our model closely matches the <span><math><mi>Λ</mi></math></span>CDM model, demonstrating its accuracy in describing the universe’s expansion history across the given redshift range. We also discussed cosmological parameters such as spatial volume, the mean anisotropic parameter, the shear scalar, deceleration parameter, energy density and pressure for quark matter and strange quark matter for plane symmetric spacetime.</div></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"51 ","pages":"Article 100924"},"PeriodicalIF":1.9,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144118","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}
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Astronomy and Computing
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