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pro vyhledávání: '"Howard, Erin L."'
Publikováno v:
MNRAS, 526(1):1559-1572, 2023
We report a study exploring how the use of deep neural networks with astronomical Big Data may help us find and uncover new insights into underlying phenomena: through our experiments towards unsupervised knowledge extraction from astronomical Big Da
Externí odkaz:
http://arxiv.org/abs/2301.00313
We present 370 candidate eclipsing binaries (EBs), identified from ~510,000 short cadence TESS light curves. Our statistical criteria identify 5,105 light curves with features consistent with eclipses (~1% of the initial sample). After visual confirm
Externí odkaz:
http://arxiv.org/abs/2205.14184
Autor:
Davenport, James R. A., Windemuth, Diana, Warmbein, Karen, Howard, Erin L., Klein, Courtney, Birky, Jessica
HS Hydrae is a short period eclipsing binary (P_orb=1.57 day) that belongs to a rare group of systems observed to have rapidly changing inclinations. This evolution is due to a third star on an intermediate orbit, and results in significant differenc
Externí odkaz:
http://arxiv.org/abs/2107.10954
Akademický článek
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Autor:
Edyburn, Dave, Howard, Erin L.
Publikováno v:
Assistive Technology Outcomes & Benefits (ATOB); Winter2022, Vol. 16 Issue 1, pix-xv, 7p