标题
Machine learning classification of CHIME fast radio bursts – I. Supervised methods
作者
关键词
-
出版物
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 518, Issue 2, Pages 1629-1641
出版商
Oxford University Press (OUP)
发表日期
2022-11-05
DOI
10.1093/mnras/stac3206
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Energy functions of fast radio bursts derived from the first CHIME/FRB catalogue
- (2022) Tetsuya Hashimoto et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Fast radio bursts at the dawn of the 2020s
- (2022) E. Petroff et al. ASTRONOMY AND ASTROPHYSICS REVIEW
- Can a Single Population Account for the Discriminant Properties in Fast Radio Bursts?
- (2022) Shu-Qing Zhong et al. ASTROPHYSICAL JOURNAL
- Modeling Fast Radio Burst Dispersion and Scattering Properties in the First CHIME/FRB Catalog
- (2022) P. Chawla et al. ASTROPHYSICAL JOURNAL
- Luminosity distribution of fast radio bursts from CHIME/FRB Catalog 1 by means of the updated Macquart relation
- (2022) Xiang-Han Cui et al. ASTROPHYSICS AND SPACE SCIENCE
- A possible subclassification of fast radio bursts
- (2022) Han-Yue Guo et al. JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
- The Statistical Similarity of Repeating and Non-Repeating Fast Radio Bursts
- (2022) Kongjun Zhang et al. Universe
- The physics of fast radio bursts
- (2021) Di Xiao et al. Science China-Physics Mechanics & Astronomy
- 81 New candidate fast radio bursts in Parkes archive
- (2021) X Yang et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- New insights into the criterion of fast radio burst in the light of FRB 20121102A
- (2021) Di Xiao et al. ASTRONOMY & ASTROPHYSICS
- Long and Short Fast Radio Bursts Are Different from Repeating and Nonrepeating Transients
- (2021) X. J. Li et al. ASTROPHYSICAL JOURNAL
- Fast Radio Burst Morphology in the First CHIME/FRB Catalog
- (2021) Ziggy Pleunis et al. ASTROPHYSICAL JOURNAL
- Observational Effects of Banded Repeating FRBs
- (2021) Kshitij Aggarwal Astrophysical Journal Letters
- The First CHIME/FRB Fast Radio Burst Catalog
- (2021) Mandana Amiri et al. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
- Uncloaking hidden repeating fast radio bursts with unsupervised machine learning
- (2021) Bo Han Chen et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- A bimodal burst energy distribution of a repeating fast radio burst source
- (2021) D. Li et al. NATURE
- A repeating fast radio burst source localized to a nearby spiral galaxy
- (2020) B. Marcote et al. NATURE
- SciPy 1.0: fundamental algorithms for scientific computing in Python
- (2020) Pauli Virtanen et al. NATURE METHODS
- Planck 2018 results. VI. Cosmological parameters
- (2020) ASTRONOMY & ASTROPHYSICS
- A census of baryons in the Universe from localized fast radio bursts
- (2020) J.-P. Macquart et al. NATURE
- FETCH: A deep-learning based classifier for fast transient classification
- (2020) Devansh Agarwal et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Implications of Canadian Hydrogen Intensity Mapping Experiment repeating fast radio bursts
- (2020) Wenbin Lu et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- No redshift evolution of non-repeating fast radio burst rates
- (2020) Tetsuya Hashimoto et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- The fast radio burst dispersion measure distribution
- (2020) W R Arcus et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Probing Galactic Halos with Fast Radio Bursts
- (2019) J Xavier Prochaska et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Are all fast radio bursts repeating sources?
- (2019) M Caleb et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Five new real-time detections of fast radio bursts with UTMOST
- (2019) W Farah et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- A living theory catalogue for fast radio bursts
- (2019) E. Platts et al. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
- The prevalence of repeating fast radio bursts
- (2019) Vikram Ravi Nature Astronomy
- Fast Radio Bursts: An Extragalactic Enigma
- (2019) James M. Cordes et al. Annual Review of Astronomy and Astrophysics
- Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]
- (2018) Miriam Seoane Santos et al. IEEE Computational Intelligence Magazine
- The dispersion–brightness relation for fast radio bursts from a wide-field survey
- (2018) R. M. Shannon et al. NATURE
- Fast radio bursts — A brief review: Some questions, fewer answers
- (2016) J. I. Katz MODERN PHYSICS LETTERS A
- A repeating fast radio burst
- (2016) L. G. Spitler et al. NATURE
- A Machine Learning Classifier for Fast Radio Burst Detection at the VLBA
- (2016) Kiri L. Wagstaff et al. PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC
- Constraints on the distribution and energetics of fast radio bursts using cosmological hydrodynamic simulations
- (2015) K. Dolag et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Extragalactic dispersion measures of fast radio bursts
- (2015) Jun Xu et al. Research in Astronomy and Astrophysics
- FAST RADIO BURST/GAMMA-RAY BURST COSMOGRAPHY
- (2014) He Gao et al. ASTROPHYSICAL JOURNAL
- COSMOLOGICAL IMPLICATIONS OF FAST RADIO BURST/GAMMA-RAY BURST ASSOCIATIONS
- (2014) Wei Deng et al. Astrophysical Journal Letters
- Fifty Years of Classification and Regression Trees
- (2014) Wei-Yin Loh INTERNATIONAL STATISTICAL REVIEW
- The Evolution of Boosting Algorithms
- (2014) H. Binder et al. METHODS OF INFORMATION IN MEDICINE
- Fast radio bursts as a cosmic probe?
- (2014) Bei Zhou et al. PHYSICAL REVIEW D
- A Population of Fast Radio Bursts at Cosmological Distances
- (2013) D. Thornton et al. SCIENCE
- Classification and regression trees
- (2011) Wei-Yin Loh Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Permutation importance: a corrected feature importance measure
- (2010) André Altmann et al. BIOINFORMATICS
- DATA MINING AND MACHINE LEARNING IN ASTRONOMY
- (2010) NICHOLAS M. BALL et al. INTERNATIONAL JOURNAL OF MODERN PHYSICS D
- Kernel methods in machine learning
- (2008) Thomas Hofmann et al. ANNALS OF STATISTICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started