Histograms
Scatter Plots
Population
Timeline
Event Table
\(M_c\) distribution
\(m_1\) distribution
\(m_2\) distribution
\(M_\mathrm{tot}\) distribution
Mass ratio \(q = m_2/m_1\)
\(D_L\) distribution
Redshift \(z\)
Effective spin \(\chi_\mathrm{eff}\)
Network SNR
\(p_\mathrm{astro}\)
Signal duration \(\tau\) at 20 Hz (Peters-Mathews)
Pair instability gap (60–130 \(M_\odot\))
Upper gap (>130 \(M_\odot\))
NS/BH boundary (~3 \(M_\odot\))
\(m_1\) vs \(m_2\) · equal-mass line · mass gap
\(\chi_\mathrm{eff}\) vs \(M_c\)
\(M_c\) vs \(D_L\)
\(M_c\) vs redshift \(z\)
FAR vs \(p_\mathrm{astro}\) · confidence frontier
\(M_\mathrm{tot}\) vs \(q\) · Gottesman diagram
Population physics: Merger rate vs \(z\) traces cosmic star formation. \(\chi_\mathrm{eff}\) sign fraction separates field binaries (aligned spins) from dynamical captures (isotropic). Spin distributions per run show improving sensitivity O1→O4b.
Merger rate \(dN/dz\)
\(\chi_\mathrm{eff}\) sign fraction by run (field vs dynamical)
\(\chi_\mathrm{eff}\) distribution by run
Cumulative detections vs time
Discovery timeline: Each event at GPS timestamp. Point size ∝ SNR. Color = observing run. Shaded bands = active run periods.
Gravitational wave discoveries · O1 → O4b (2015–2025)
| Event | Run | Type | \(m_1\) | \(m_2\) | \(M_c\) | \(M_\mathrm{tot}\) | \(D_L\)(Mpc) | \(\chi_\mathrm{eff}\) | SNR | \(p_\mathrm{astro}\) | \(z\) | FAR |
|---|