Results 21 to 30 of about 119 (87)
Photometric Redshift Estimation of Quasars by a Cross-modal Contrast Learning Method
The Astronomical JournalEstimating photometric redshifts (photo- z ) of quasars is crucial for measuring cosmic distances and monitoring cosmic evolution. While numerous point estimation methods have successfully determined photo- z , they often struggle with the inherently ill-
Chen Zhang +4 more
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Bayesian and Machine Learning Methods in the Big Data era for astronomical imaging
, 2022 The Atacama Large Millimeter/submillimeter Array with the planned electronic upgrades will deliver an unprecedented amount of deep and high resolution observations.
Arras, Philipp +6 more
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The Astrophysical JournalEmulators using machine learning techniques have emerged to efficiently generate mock data matching the large survey volume for upcoming experiments, as an alternative approach to large-scale numerical simulations.
Kangning Diao, Yi Mao
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SDSS-RASS: Next Generation of Cluster-Finding Algorithms
, 2001 We outline here the next generation of cluster-finding algorithms. We show how advances in Computer Science and Statistics have helped develop robust, fast algorithms for finding clusters of galaxies in large multi-dimensional astronomical databases like
Andrew W Moore (5401907) +37 more
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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 methods for astronomical data analysis
, 2014 This book introduces “Astrostatistics” as a subject in its own right with rewarding examples, including work by the authors with galaxy and Gamma Ray Burst data to engage the reader.
Chattopadhyay, Asis Kumar +1 more
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The Astrophysical JournalMolecular emission from the galactic and extragalactic interstellar medium (ISM) is often used to determine the physical conditions of the dense gas. However, even from spatially resolved regions, the observed molecules do not necessarily arise from a ...
Damien de Mijolla +3 more
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Pluto’s Surface Mapping Using Unsupervised Learning from Near-infrared Observations of LEISA/Ralph
The Planetary Science Journal, 2023 We map the surface of Pluto using an unsupervised machine-learning technique using the near-infrared observations of the LEISA/Ralph instrument on board NASA’s New Horizons spacecraft.
A. Emran +5 more
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Topics in astrostatistics: stellar binary evolution, gravitational – wave source modelling and stochastic processes [PDF]
, 2018 The effective use of statistical techniques is one of the cornerstones of modern astrophysics. In this thesis we use sophisticated statistical methodology to expand our understanding of astrophysics.
Barrett, James William
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Regression for Astronomical Data with Realistic Distributions, Errors, and Nonlinearity
The Astronomical JournalWe have developed a new regression technique, the maximum likelihood (ML)–based method and its variant, the Kolmogorov–Smirnov (KS) test–based method, designed to obtain unbiased regression results from typical astronomical data. A normalizing flow model
Tao Jing, Cheng Li
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