Results 31 to 40 of about 119 (87)
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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AstroM3: A Self-supervised Multimodal Model for Astronomy
The Astronomical JournalWhile machine-learned models are now routinely employed to facilitate astronomical inquiry, model inputs tend to be limited to a primary data source (namely images or time series) and, in the more advanced approaches, some metadata.
M. Rizhko, J. S. Bloom
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Identifying Diffuse Spatial Structures in High-energy Photon Lists
The Astronomical Journal, 2023 Data from high-energy observations are usually obtained as lists of photon events. A common analysis task for such data is to identify whether diffuse emission exists, and to estimate its surface brightness, even in the presence of point sources that may
Minjie Fan +5 more
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Statistical Properties of a Polarization Vector’s Ellipticity Angle
The Astrophysical JournalThe orientation of a polarization vector on the Poincaré sphere is defined by its position angle (PA) and ellipticity angle (EA). The radio emission from pulsars, magnetars, and fast radio bursts can be elliptically polarized, and measurements of the EA ...
M. M. McKinnon
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A Comprehensive Guide to Interpretable AI-Powered Discoveries in Astronomy
The exponential growth of astronomical data necessitates the adoption of artificial intelligence (AI) and machine learning for timely and efficient scientific discovery.
Maggie Lieu
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The Astrophysical JournalWe present StarryStarryProcess , a novel hierarchical Bayesian framework for mapping stellar surfaces using exoplanet transit light curves. While previous methods relied solely on stellar rotational light curves—which contain limited information about ...
Sabina Sagynbayeva +3 more
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ABC-SN: Attention-based Classifier for Supernova Spectra
The Astrophysical JournalWhile significant advances have been made in photometric classification ahead of the millions of transient events and hundreds of supernovae (SNe) each night that the Vera C.
Willow Fox Fortino +4 more
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Auto-BUQ: Uncertainty Quantification for the Boundaries of Segmented Events
The Astronomical JournalWe present a new method to estimate the boundary of extended sources in high-energy photon lists and to quantify the uncertainty in the boundary. This method extends the graphed seeded region growing method developed by M. Fan et al.
Jue Wang +4 more
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Euclid preparation: LXVIII. Extracting physical parameters from galaxies with machine learning
Euclid Collaboration: I. Kovačić et al.The Euclid mission is generating a vast amount of imaging data in four broadband filters at a high angular resolution. This data will allow for the detailed study of mass, metallicity, and stellar populations across
Fosalba, Pablo +12 more
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Exploring Magnetic Fields in Molecular Clouds through Denoising Diffusion Probabilistic Models
The Astrophysical JournalAccurately measuring magnetic field strength in the interstellar medium, including giant molecular clouds, remains a significant challenge. We present a machine learning approach using denoising diffusion probabilistic models (DDPMs) to estimate magnetic
Duo Xu +5 more
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