Showing 141 - 160 results of 268 for search '"astronomer"', query time: 0.04s Refine Results
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    Primordial Magnetic Field Effects on the CMB and Large-Scale Structure by Dai G. Yamazaki, Kiyotomo Ichiki, Toshitaka Kajino, Grant J. Mathews

    Published 2010-01-01
    “…Magnetic fields are everywhere in nature, and they play an important role in every astronomical environment which involves the formation of plasma and currents. …”
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    Exploring the mechanisms of Devonian oceanic anoxia: impact of ocean dynamics, palaeogeography, and orbital forcing by J. Gérard, L. Sablon, J. J. C. Huygh, A.-C. Da Silva, A. Pohl, C. Vérard, M. Crucifix

    Published 2025-01-01
    “…While growing geological evidence has demonstrated a temporal correlation between astronomical forcing and anoxia during this period, underlying physical mechanisms remain unknown, hence questioning causality. …”
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    Enhanced YOLOv8-based method for space debris detection using cross-scale feature fusion by Yang Guo, Xianlong Yin, Yao Xiao, Zhengxu Zhao, Xu Yang, Chenggang Dai

    Published 2025-01-01
    “…The study utilized a dataset comprising astronomical images captured by an open-source large-field-of-view optical telescope. …”
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    Magnetic reconnection and energy extraction from a Konoplya–Zhidenko rotating non-Kerr black hole by Fen Long, Shangyun Wang, Songbai Chen, Jiliang Jing

    Published 2025-01-01
    “…These effects of the deformation parameter may provide valuable clues for future astronomical observations of black holes and verification of gravity theories.…”
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    Maximum-likelihood Regression with Systematic Errors for Astronomy and the Physical Sciences. I. Methodology and Goodness-of-fit Statistic of Poisson Data by Massimiliano Bonamente, Yang Chen, Dale Zimmerman

    Published 2025-01-01
    “…The method and the associated statistics are first developed theoretically, and then they are tested with the aid of numerical simulations and further illustrated with real-life data from astronomical observations. The statistical methods presented in this paper are intended as a simple general-purpose framework to include additional sources of uncertainty for the analysis of integer-count data in a variety of practical data analysis situations.…”
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