Introduces the mixed lonely runner property MLPS_k and exactly characterizes MLPS_2 while deriving Fourier-based summation and integral formulas for unequal thresholds.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Customized chromatic noise models applied to NANOGrav 15 yr data raise the Bayes factor for Hellings-Downs GWB correlations by a factor of ~8, lower the amplitude to 2.1e-15, and increase the spectral index to 3.5.
citing papers explorer
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Mixed thresholds in the Lonely Runner Conjecture
Introduces the mixed lonely runner property MLPS_k and exactly characterizes MLPS_2 while deriving Fourier-based summation and integral formulas for unequal thresholds.
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The NANOGrav 15 yr Data Set: Impacts of Customized Chromatic Noise Models on Gravitational Wave Analyses
Customized chromatic noise models applied to NANOGrav 15 yr data raise the Bayes factor for Hellings-Downs GWB correlations by a factor of ~8, lower the amplitude to 2.1e-15, and increase the spectral index to 3.5.