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Bayesian Functional Data Analysis in Astronomy
Physical Sciences ForumCosmic demographics—the statistical study of populations of astrophysical objects—has long relied on tools from multivariate statistics for analyzing data comprising fixed-length vectors of properties of objects, as might be compiled in a tabular ...
Thomas Loredo +3 more
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A Model Estimator for Noisy Compact Emission Recovery in Radio Synthesis Imaging
The Astronomical Journal, 2023 Reconstruction of a noisy compact emission must consider not only the point-spread function but also the effect of noise. However, the traditional threshold method in widely-used CLEAN-based algorithms finds it difficult to effectively prevent noise in ...
L. Zhang, M. Zhang, B. Wang
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The Spitzer Coverage of HSC-Deep with IRAC for Z studies (SHIRAZ). I. IRAC Mosaics
The Astronomical Journal, 2023 We present new Spitzer Infrared Array Camera (IRAC) 3.6 and 4.5 μ m mosaics of three fields, E-COSMOS, DEEP2-F3, and ELAIS-N1. Our mosaics include both new IRAC observations as well as reprocessed archival data in these fields.
Marianna Annunziatella +20 more
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Kepler Bonus: Light Curves of Kepler Background Sources
The Astronomical Journal, 2023 NASA’s Kepler primary mission observed about 116 deg ^2 in the sky for 3.5 consecutive years to discover Earth-like exoplanets. This mission recorded pixel cutouts, known as target pixel files (TPFs), of over 200,000 targets that were selected to ...
Jorge Martínez-Palomera +2 more
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A Machine-learning Approach to Predict Missing Flux Densities in Multiband Galaxy Surveys
The Astrophysical Journal, 2023 We present a new method based on information theory to find the optimal number of bands required to measure the physical properties of galaxies with desired accuracy.
Nima Chartab +23 more
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Alert Classification for the ALeRCE Broker System: The Anomaly Detector
The Astronomical Journal, 2023 Astronomical broker systems, such as Automatic Learning for the Rapid Classification of Events (ALeRCE), are currently analyzing hundreds of thousands of alerts per night, opening up an opportunity to automatically detect anomalous unknown sources.
Manuel Perez-Carrasco +14 more
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Automatic Classification of Spectra with IEF-SCNN
Universe, 2023 Telescopes such as the Large Sky Area Multi-Object Spectroscopic Telescope and the Sloan Digital Sky Survey have produced an extensive collection of spectra, challenging the feasibility of manual classification in terms of accuracy and efficiency.
Jingjing Wu +4 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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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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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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