(Left) Background noise analysis surrounding GW150914. The horizontal axis shows the metric values estimated by the model, while the vertical axis indicates the occurrence rate per year. The blue histogram represents the noise background estimation using time-shift analysis. The orange points mark candidate events, with the red and green stars indicating GW150914 and GW151012, respectively. (Right) Model output metrics after injecting PN deviations into GW150914. Different PN terms are represented on the vertical axis, with All PN incorporating all PN components. Isosceles triangles display the metric distribution, with the base representing the median and the vertex showing the minimum value. The analysis uses parameter sets where the luminosity distance is within the 1σ range of the median value [150].
(Left) Background noise analysis surrounding GW150914. The horizontal axis shows the metric values estimated by the model, while the vertical axis indicates the occurrence rate per year. The blue histogram represents the noise background estimation using time-shift analysis. The orange points mark candidate events, with the red and green stars indicating GW150914 and GW151012, respectively. (Right) Model output metrics after injecting PN deviations into GW150914. Different PN terms are represented on the vertical axis, with All PN incorporating all PN components. Isosceles triangles display the metric distribution, with the base representing the median and the vertex showing the minimum value. The analysis uses parameter sets where the luminosity distance is within the 1σ range of the median value [150].
