Results 11 to 20 of about 51 (47)
Astronomi Alanında Makine Öğrenmesi Uygulamaları
, 2021 Gelişen teknoloji ile birlikte astronomi alanında veri toplama araçlarının çeşitliliği ve kapasitesi de gelişti. Toplanan verimiktarının artması ile birlikte bu alandaki veri madenciliği, büyük veri uygulamaları, makine öğrenmesi ve yapay ...
Özkan, Mustafa, Kayhan, Cenk
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A Geometric Approach to Estimate Background in Astronomical Images
The Astrophysical Journal Supplement SeriesEstimating the true background in an astronomical image is fundamental to detecting faint sources. In a typical low-photon-count astronomical image, such as in the far- and near-ultraviolet wavelength ranges, conventional methods relying on 3 σ clipping ...
Pushpak Pandey, Kanak Saha
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Statistical Analysis and Data Mining: The ASA Data Science Journal, Volume 17, Issue 1, February 2024.Abstract We propose a simple, statistically principled, and theoretically justified method to improve supervised learning when the training set is not representative, a situation known as covariate shift. We build upon a well‐established methodology in causal inference and show that the effects of covariate shift can be reduced or eliminated by ...
Maximilian Autenrieth +3 more
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Extracting knowledge from massive astronomical data sets
, 2012 The exponential growth of astronomical data collected by both ground-based and spaceborne instruments has fostered the growth of astroinformatics: a new discipline lying at the intersection between astronomy, applied computer science, and information and
Donalek C. +19 more
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The Astrophysical Journal Supplement SeriesThe observing strategy (OS) of an astronomical survey influences the degree to which its resulting data can be used to accomplish any science goal, necessitating upcoming programs, including those on the Rubin and Roman telescopes, to solicit metrics in ...
Alex I. Malz +4 more
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Automatic Parallel Tempering Markov Chain Monte Carlo with Nii-C
The Astrophysical Journal Supplement SeriesDue to the high dimensionality or multimodality that is common in modern astronomy, sampling Bayesian posteriors can be challenging. Several publicly available codes based on different sampling algorithms can solve these complex models, but the execution
Sheng Jin, Wenxin Jiang, Dong-Hong Wu
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Astrostatistical Analysis in Solar and Stellar Physics [PDF]
, 2015 This dissertation focuses on developing statistical models and methods to address data-analytic challenges in astrostatistics---a growing interdisciplinary field fostering collaborations between statisticians and astrophysicists.
Stenning, David Craig
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The Astrophysical JournalData Release 3 (DR3) from the Gaia Mission includes radial velocity measurements of over 33 million targets. Among many scientific applications, the overlap of this stellar sample with targeted exoplanet transit survey stars presents an opportunity to ...
Quadry Chance +5 more
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Designing an Optimal Kilonova Search Using DECam for Gravitational-wave Events
The Astrophysical JournalWe address the problem of optimally identifying all kilonovae detected via gravitational-wave emission in the upcoming LIGO/Virgo/KAGRA observing run, O4, which is expected to be sensitive to a factor of ∼7 more binary neutron star (BNS) alerts than ...
C. R. Bom +69 more
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Diffuse X-Ray Emission in M51: A Hierarchical Bayesian Spatially Resolved Spectral Analysis
The Astrophysical JournalX-ray observations can be used to effectively probe the galactic ecosystem, particularly its hot and energetic components. However, existing X-ray studies of nearby star-forming galaxies are limited by insufficient data statistics and a lack of suitable ...
Luan Luan, Q. Daniel Wang
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