Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy [PDF]
Annual Review of Astronomy and Astrophysics, 2017 Markov chain Monte Carlo–based Bayesian data analysis has now become the method of choice for analyzing and interpreting data in almost all disciplines of science. In astronomy, over the past decade, we have also seen a steady increase in the number of papers that employ Monte Carlo–based Bayesian analysis.
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Identification of Gamma-Ray Point Sources in Fermi-LAT Data with Minimum Spanning Tree Algorithm [PDF]
Iranian Journal of Astronomy and Astrophysics, 2023 Gamma rays are the most energetic photons in the electromagnetic spectrum, detected with ground-based and space-based detectors in different energy ranges from sources in our galaxy and beyond.
Mehran Soor +2 more
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Minimal re-computation for exploratory data analysis in astronomy [PDF]
Astronomy and Computing, 2018 We present a technique to automatically minimise the re-computation when a data processing program is iteratively changed, or added to, as is often the case in exploratory data analysis in radio astronomy. A typical example is flagging and calibration of demanding or unusual observations where visual inspection suggests improvement to the processing ...
Nikolic, B, Small, D, Kettenis, M
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Data Driven Discovery in Astrophysics [PDF]
, 2014 We review some aspects of the current state of data-intensive astronomy, its methods, and some outstanding data analysis challenges. Astronomy is at the forefront of "big data" science, with exponentially growing data volumes and data rates, and an ever ...
Brescia, M. +4 more
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The Data Big Bang and the Expanding Digital Universe: High-Dimensional, Complex and Massive Data Sets in an Inflationary Epoch [PDF]
, 2010 Recent and forthcoming advances in instrumentation, and giant new surveys, are creating astronomical data sets that are not amenable to the methods of analysis familiar to astronomers.
McCollum, Bruce +2 more
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BatAnalysis: A Comprehensive Python Pipeline for Swift BAT Survey Analysis
The Astrophysical Journal, 2023 The Swift Burst Alert Telescope (BAT) is a coded-aperture gamma-ray instrument with a large field of view that primarily operates in survey mode when it is not triggering on transient events.
Tyler Parsotan +6 more
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Web-Based Visualization of Very Large Scientific Astronomy Imagery [PDF]
, 2015 Visualizing and navigating through large astronomy images from a remote location with current astronomy display tools can be a frustrating experience in terms of speed and ergonomics, especially on mobile devices.
Bertin, Emmanuel +2 more
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An Application of Hilbert-Huang Transform on the Non-Stationary Astronomical Time Series: The Superorbital Modulation of SMC X-1 [PDF]
Journal of Astronomy and Space Sciences, 2013 We present the Hilbert-Huang transform (HHT) analysis on the quasi-periodic modulation of SMC X-1. SMC X-1, consisting of a neutron star and a massive companion, exhibits superorbital modulation with a period varying between ~40 d and ~65 d. We applied
Chin-Ping Hu +4 more
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Adaptive Real Time Imaging Synthesis Telescopes [PDF]
, 2012 The digital revolution is transforming astronomy from a data-starved to a data-submerged science. Instruments such as the Atacama Large Millimeter Array (ALMA), the Large Synoptic Survey Telescope (LSST), and the Square Kilometer Array (SKA) will measure
Wright, Melvyn
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Pulsar-candidate Selection Using a Generative Adversarial Network and ResNeXt
The Astrophysical Journal Supplement Series, 2022 Pulsar research has been a hot topic in the area of astronomy since they were first discovered. Pulsar discovery is fundamental for pulsar research. While pulsars are now visible across the electromagnetic spectrum, pulsar searches with modern radio ...
Qian Yin +4 more
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