Results Gallery¶
Publication figures from the production dark-siren H0 campaign
run_20260620_seed500_phase50 — a single homogeneous catalogue of 1385
simulated EMRI detections evaluated on an 83-point super-dense H0
grid (injected truth h = 0.73). All figures use the Observatory + Atlas
design system (method→colour grammar, Planck/SH0ES reference bands, flat-prior
overlay, nested HDI, Crameri scientific colormaps).
Combined-posterior MAP estimates:
Without Mz (1D):
h = 0.737(+1.0 %)With Mz (2D):
h = 0.732(+0.3 %)
All figures are produced by the package itself via
python -m master_thesis_code <simulations_dir> --generate_figures <simulations_dir>
(the cluster PDFs are converted to PNG for web display).
H0 inference¶
fig01 — Combined H₀ posterior. Catalogue-combined posterior for both mass conventions as one blue separated by linestyle (solid Without Mz, dashed With Mz), with nested 50/68/95 % HDI shading, the flat H₀ prior, Planck (pink) and SH0ES (cyan) bands, a km/s/Mpc top axis, and the MAP in the title.¶
fig02 — Per-event posteriors. Peak-normalised single-event H₀ likelihoods coloured by SNR (batlow), with the catalogue-combined posterior as the black headline curve.¶
fig08 — H₀ convergence. 68 % credible-interval width as a function of the number of stacked detections, with the 1/√N guide and Planck/SH0ES target-width reference bands; mass conventions by linestyle.¶
fig15 — H₀ in context. This work against Planck 2018, SH0ES (Riess+ 2022), and GWTC-3 dark sirens, sharing the same Planck-pink and SH0ES-cyan bands as fig01.¶
Detection catalogue & cosmology¶
fig03 — SNR distribution. Signal-to-noise distribution of the detected catalogue (grey histogram) with the cumulative fraction and the detection threshold rule.¶
fig04 — Detection yield. Injected vs. detected redshift distribution from the injection campaign (504k injected; SNR ≥ 20 detected) with the per-bin detection fraction.¶
fig09 — Detection efficiency. Empirical detection probability vs. redshift from the injection pool with a smooth selection-function fit.¶
fig05 — Sky localization. Mollweide distribution of the detected events coloured by SNR (batlow).¶
fig11 — Distance–redshift. Luminosity distance dL(z) [Gpc] for a family of H₀ values, direct-labelled at the curve endpoints.¶
Parameter estimation¶
fig06 — Fisher ellipses. 1σ/2σ Fisher-matrix uncertainty ellipses for a representative event, with the truth crosshair.¶
fig07 — Corner plot. Analytic Fisher parameter covariances (no KDE smoothing) at 1σ and 2σ.¶
fig12 — Uncertainty violins. Per-parameter fractional Cramér–Rao uncertainties, split into intrinsic and extrinsic groups.¶
fig14 — CRB coverage. 2D pairwise hexbin density of the detected events across the key parameter pairs (batlow).¶
Instrument & signals¶
fig10 — LISA PSD. A-channel noise PSD decomposed into instrument and galactic-confusion contributions (distinguished by linestyle).¶
fig13 — Characteristic strain. Characteristic strain with a representative EMRI inspiral track against the LISA sensitivity.¶