Data release: Unifying stochastic and deterministic signals, a practical search for the intermittent binary black-hole background

Lookup tables and results of the paper Unifying stochastic and deterministic signals: a practical search for the intermittent binary black-hole background (T. Boybeyi, V. Mandic, J. D. Romano), read by the code at https://github.com/dmatter1391/exmarg. For LIGO Hanford and Livingston, each file holds the order sum of the series at one filter power s (u1 = u2 = s), 𝒮(τ, κ, Δφ, β; s) = Σn ≤ 120 enβ gn(τ, κ, Δφ; s, s),gn = (n!)−2 Σa,b=0n C(n,a) C(n,b) W(n)ab(τ, s, s) e(a+b)κ cos[(a−b)Δφ], stored as ln 𝒮. W(n)ab are the GORFs, κ = ln|𝒵1| − ln|𝒵2|, Δφ = arg(𝒵1𝒵2*), β = ln α + 2 ln|𝒵2| with α = s/u = y2, y = D0/DL, D0 = 10410 Mpc. Grids: s: 53 nodes uniform in ln s from 4.26×10−3 to 4000 (Δln s = 0.264) τ: 87 delays, −43 to 43 steps of 1/4096 s (±10.5 ms) Δφ: 49 points from 0 to π, step π/48 (𝒮 is even in Δφ) β: 200 points from −7.82 to 19.93, step 0.139 κ: 219 points from −7.60 to 7.60, step 0.0697 The GORFs were computed on HEALPix Nside = 32 sky maps. One file per node, bd_n120_s<s>.npz (array T[τ, Δφ, β, κ], float32), 53 files, 40 GB. Download and verify with scripts/fetch_tables.py of the repository, which checks every file against tables.sha256. Results of the one-year analysis (Sec. III and Appendices E-G), read by notebook 4 of the repository: posteriors.npz: posterior samples of the population parameters (parameters lists their names, injected their simulated values) for the catalog-informed, uninformed and catalog-alone searches at detection thresholds 8 and 12, without a threshold, at truncation orders n_max = 20, 40, 80 and 120, for the simulated years and for noise-only data. segment_lnB.npz: Bayes factors of single segments for detected mergers, unresolved mergers, noise-only segments and phase-randomized mergers, at several truncation orders. time_curves.npz: the total Bayes factor against the observing time for each search (segment_duration in seconds). information.npz: the information (Kullback-Leibler divergence) of single segments on the population, the matched-filter SNR of every merger and the diagonal of the Fisher matrix.