標(biāo)題: Titlebook: Machine Learning for Astrophysics; Proceedings of the M Filomena Bufano,Simone Riggi,Francesco Schilliro Conference proceedings 2023 The Ed [打印本頁] 作者: 方面 時(shí)間: 2025-3-21 19:10
書目名稱Machine Learning for Astrophysics影響因子(影響力)
書目名稱Machine Learning for Astrophysics影響因子(影響力)學(xué)科排名
書目名稱Machine Learning for Astrophysics網(wǎng)絡(luò)公開度
書目名稱Machine Learning for Astrophysics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Machine Learning for Astrophysics被引頻次
書目名稱Machine Learning for Astrophysics被引頻次學(xué)科排名
書目名稱Machine Learning for Astrophysics年度引用
書目名稱Machine Learning for Astrophysics年度引用學(xué)科排名
書目名稱Machine Learning for Astrophysics讀者反饋
書目名稱Machine Learning for Astrophysics讀者反饋學(xué)科排名
作者: 死貓他燒焦 時(shí)間: 2025-3-21 21:42
Machine Learning for Astrophysics978-3-031-34167-0Series ISSN 1570-6591 Series E-ISSN 1570-6605 作者: 短程旅游 時(shí)間: 2025-3-22 01:31 作者: prodrome 時(shí)間: 2025-3-22 06:38 作者: 嘲弄 時(shí)間: 2025-3-22 11:03 作者: 向下五度才偏 時(shí)間: 2025-3-22 14:09
Classification of Evolved Stars with (Unsupervised) Machine Learning,wavelength photometric measurements. The foundation is a custom made reference dataset compiled from available stellar catalogues for target sources—AGB, Wolf Rayet, luminous blue variable and red supergiant stars. Our results indicate that applying HDBSCAN to UMAP’s feature representation seems to be the most effective approach for this usecase.作者: 制定法律 時(shí)間: 2025-3-22 17:25 作者: Dealing 時(shí)間: 2025-3-22 21:36 作者: macrophage 時(shí)間: 2025-3-23 02:40 作者: 谷類 時(shí)間: 2025-3-23 05:49
Event Reconstruction for Neutrino Telescopes,ance to many physics analyses and searches, and improvements in both accuracy and speed have a direct, positive impact on the science. This proceeding will shortly review some common reconstruction methods, and present a few novel event reconstruction algorithms based on machine learning.作者: Rct393 時(shí)間: 2025-3-23 10:57
Time Domain Astroinformatics, crowds of scientists have extreme difficulty to manage such amounts of data in multi-dimensional domains. Therefore, a change of perspective is required to explore Time Domain Astronomy (TDA) in an efficient and semi-automatic way, introducing the Time Domain Astroinformatics as the virtuous synergy between TDA and Data Science domains.作者: Fibrinogen 時(shí)間: 2025-3-23 14:04 作者: Eeg332 時(shí)間: 2025-3-23 18:12 作者: Resection 時(shí)間: 2025-3-24 00:59
Conference proceedings 2023and tools with applications in different fields of theoretical and observational astronomy. The book helps the reader to really understand and quantify both the opportunities and limitations of using machine learning in several fields of astrophysics..作者: Generalize 時(shí)間: 2025-3-24 03:19
Detection of Quasi-Periodic Oscillations in Time Series of a Cataclysmic Variable Using Support Vecr the accuracy of QPO detection using machine learning methods is higher than the significance of confidence levels obtained by the use of Timmer and Koenig’s (Astron. Astrophys. 300:707–710, 1995) simulations.作者: 毗鄰 時(shí)間: 2025-3-24 07:56 作者: defray 時(shí)間: 2025-3-24 11:33
1570-6591 . The book helps the reader to really understand and quantify both the opportunities and limitations of using machine learning in several fields of astrophysics..978-3-031-34169-4978-3-031-34167-0Series ISSN 1570-6591 Series E-ISSN 1570-6605 作者: 注意力集中 時(shí)間: 2025-3-24 18:22 作者: 銼屑 時(shí)間: 2025-3-24 20:10
Patterns in the Chaos: An Unsupervised View of Galactic Supernova Remnants,o continuum imagery; and (ii) a clustering stage that groups together objects that display similar features in the resulting latent space. By applying this pipeline to a representative sample of Galactic SNRs, we found several physically meaningful subsets sharing common observational features.作者: 神圣在玷污 時(shí)間: 2025-3-25 03:07
Unsupervised Classification Reveals New Evolutionary Pathways,xies . smaller than other red galaxies of a similar stellar mass, revealing the first sample of red nuggets at intermediate redshift. On the other end, a class of blue dwarf galaxies is composed mainly of AGN, challenging commonly used mid-infrared AGN selections.作者: Cardioversion 時(shí)間: 2025-3-25 07:14
In Search of the Peculiar: An Unsupervised Approach to Anomaly Detection in the Transient Universe,bination of normalized light curve points and their power spectrum as features. Our algorithm identifies a wide range of variability patterns and successfully pinpoints several documented scientifically interesting targets discovered by the community to date.作者: 內(nèi)向者 時(shí)間: 2025-3-25 08:30 作者: recede 時(shí)間: 2025-3-25 12:56 作者: ELUDE 時(shí)間: 2025-3-25 17:46 作者: GREEN 時(shí)間: 2025-3-25 20:53 作者: transdermal 時(shí)間: 2025-3-26 01:51 作者: Gyrate 時(shí)間: 2025-3-26 04:40
Classifying Gamma-Ray Burst X-Ray Afterglows with a Variational Autoencoder,ta set. We find that the data is segregated in the latent space according to traditional morphology. However, the observed gradual transition in between over-densities unifies the prevalent classification of GRBs based on their X-ray data into a single continuum, suggesting that light curves of diff作者: Console 時(shí)間: 2025-3-26 08:30
Eliot Ayache,Tanmoy Laskarndet der Leser alle gutachterlich relevanten Begriffe pr?zise und verst?ndlich formuliert. So wird das Erstellen von juristisch verwertbaren Gutachten einfacher - dafür garantiert das Autorenteam aus Medizinern und Juristen, das um jede Begriffserkl?rung "gerungen" hat..978-3-642-17602-9作者: 混亂生活 時(shí)間: 2025-3-26 15:24
Detection of Point Sources in Maps of the Temperature Anisotropies of the Cosmic Microwave Backgrou作者: coagulation 時(shí)間: 2025-3-26 20:33 作者: intolerance 時(shí)間: 2025-3-27 00:56
Giorgio Calderone,Francesco Guarneri,Matteo Porru,Stefano Cristiani作者: 吞沒 時(shí)間: 2025-3-27 01:22 作者: vibrant 時(shí)間: 2025-3-27 08:25 作者: AV-node 時(shí)間: 2025-3-27 12:11 作者: TOM 時(shí)間: 2025-3-27 13:37 作者: 胡言亂語 時(shí)間: 2025-3-27 18:31 作者: constellation 時(shí)間: 2025-3-27 23:41 作者: 分貝 時(shí)間: 2025-3-28 04:46 作者: exorbitant 時(shí)間: 2025-3-28 07:42
Machine Learning for H, Emitters Classification, explore this large amount of data, it is necessary to apply automatic techniques. Decision tree algorithm is used to develop selection criteria for symbiotic stars, planetary nebulae, Be and Mira candidates. Despite the small samples, our models are characterized by high recall and precision of 0.7作者: Diskectomy 時(shí)間: 2025-3-28 13:35 作者: machination 時(shí)間: 2025-3-28 14:53
Detection of Quasi-Periodic Oscillations in Time Series of a Cataclysmic Variable Using Support Vecance than what the reality is. In our observed object, MV Lyrae, we focus on such QPO‘s. We simulated the QPO according to Timmer and Koenig (Astron. Astrophys. 300:707–710, 1995) and estimated its confidence intervals. Some known (not obvious) QPO‘s fell under 1-. and therefore are not significant 作者: Kaleidoscope 時(shí)間: 2025-3-28 21:14
Dust Extinction from RF Regression of Interstellar Lines,orption lines from abundant gas atoms in the interstellar medium (ISM) like sodium, potassium and calcium, or molecules like diffuse interstellar bands, among others, serve as dust indicators and have been used to estimate dust extinction. However, several caveats and limitations exist like line sat作者: Genteel 時(shí)間: 2025-3-29 01:09
,QSOs Selection in Highly Unbalanced Photometric Datasets: The “Michelangelo” Reverse-Selection Methn a gradient boosting algorithm, although it may be be used with any other machine learning method providing classification probabilities. We applied the selection method on a photometric dataset and compared its performances to its direct-selection method counterpart, showing that the former privil作者: Organization 時(shí)間: 2025-3-29 07:03 作者: Chronic 時(shí)間: 2025-3-29 10:17 作者: 完全 時(shí)間: 2025-3-29 12:25
New Applications of Graph Neural Networks in Cosmology,exploitation. Standard cosmological analyses based on abundances, two-point and higher-order statistics of cosmic tracers have been widely used to investigate the properties of the . and Large Scale Structure. However, these statistics can only exploit a subset of the entire information content avai作者: 橢圓 時(shí)間: 2025-3-29 18:12
Reconstruction and Particle Identification with CYGNO Experiment,rojection chamber. The difference in the topological features can be learned by the deep learning models by training over thousand of events. These networks can be further used for the discrimination of background and signal events. The networks trained in this study performs better than the convent作者: 一窩小鳥 時(shí)間: 2025-3-29 21:19
Event Reconstruction for Neutrino Telescopes,om particle interactions within creates signals of varying shapes and sparsity. For the reconstruction of such physics events, one aims to infer quantities like the interaction vertex, the deposited energy, the angles, and the topology of the interaction. This reconstruction step is of central relev作者: FEMUR 時(shí)間: 2025-3-30 00:37
Classification of Evolved Stars with (Unsupervised) Machine Learning,wavelength photometric measurements. The foundation is a custom made reference dataset compiled from available stellar catalogues for target sources—AGB, Wolf Rayet, luminous blue variable and red supergiant stars. Our results indicate that applying HDBSCAN to UMAP’s feature representation seems to 作者: 抗生素 時(shí)間: 2025-3-30 05:17 作者: obnoxious 時(shí)間: 2025-3-30 10:24
Clustering of Galaxy Spectra: An Unsupervised Approach with Fisher-EM, This approach was applied to a sample of 10,000 simulated spectra, highlighting its capacity to discriminate physical properties based on spectroscopic data, as well as its robustness towards noise. A sample of 700,000 spectra of close-by galaxies observed by the Sloan Digital Sky Survey (SDSS) was作者: 不可思議 時(shí)間: 2025-3-30 16:11
Unsupervised Classification Reveals New Evolutionary Pathways,cesses that led to the formation of all the variety of today’s galaxy types is still beyond our reach. To solve this problem, we need both large datasets reaching high redshifts and novel methodologies for dealing with them. The VIPERS survey statistical power, which observed . galaxies at ., and th作者: dandruff 時(shí)間: 2025-3-30 19:10 作者: folliculitis 時(shí)間: 2025-3-30 20:44 作者: Compatriot 時(shí)間: 2025-3-31 03:21 作者: 毀壞 時(shí)間: 2025-3-31 07:39
Time Domain Astroinformatics,ynoptic (multi-band and multi-epoch) surveys, like Rubin-LSST, requires an extensive use of automatic methods for data processing and interpretation. With data volumes in the petabyte domain, the discrimination of time critical information has already exceeded the capabilities of human operators and作者: Irritate 時(shí)間: 2025-3-31 11:57
ung.info.Für Personalmanager und Führungskr?fte mit konzepti.Das Werk stellt die Vorteile und M?glichkeiten der Teilzeitführung für Unternehmen dar. Praxisnah und durch Fallbeispiele erl?utert, werden Rahmenbedingungen und Gestaltungsm?glichkeiten von Teilzeitführung beschrieben, typische Probleme i作者: DEI 時(shí)間: 2025-3-31 14:20 作者: 外面 時(shí)間: 2025-3-31 20:48 作者: CANT 時(shí)間: 2025-4-1 00:02 作者: photopsia 時(shí)間: 2025-4-1 05:01 作者: deadlock 時(shí)間: 2025-4-1 09:32
Assimilation of In-Situ Observations,iderations.The underappreciated need for accurate metadata, including platform characteristics and station location, is also presented.Recent changes in in-situ observations are discussed, with the decrease in aircraft observations associated with COVID-19 demonstrating how these data complement eac作者: dominant 時(shí)間: 2025-4-1 13:34
which the glycoside has been isolated, - Melting point, - Specific rotation, - Molecule weight, - Molecular formula, - UV spectral data : maxima, e or log e , solvent, - IR peaks in cm.-1. with medium in which978-1-4419-2170-3978-0-387-39578-4作者: 項(xiàng)目 時(shí)間: 2025-4-1 16:52 作者: 草本植物 時(shí)間: 2025-4-1 21:36 作者: Grievance 時(shí)間: 2025-4-2 01:31
Introduction,1]—new direction of nanoscience (subnanoscience). The experience of the past shows that throughout constant technology improvement microelectronics has become more reliable, faster, more powerful and less expensive by reducing the dimensions of integrated circuits. As demonstrated in this book, when
