Interplay of spin-precession and higher harmonics in the parameter estimation of binary black holes

Welcome to the data release of our recent paper titled "The interplay of spin-precession and higher harmonics in the parameter estimation of binary black holes". We provide all the posterior samples used to make different figures/conclusions that went into the paper. For any clarifications regarding the data structure please write to us at krnava@aei.mpg.de or at frank.ohme@ligo.org Thank you! Description We provide a brief description of each folder. As we discuss in detail in the papers, we study the measurability of spin-induced orbital precession in generic binary systems, employing two waveform models IMRPhenomPv3HM and IMRPhenomPv3. The parameters are estimated using the gravitational-wave data analysis toolkit parallel Bilby. Our injections are assuming the binary produced fixed signal-to-noise ratio in the three detector network consisting of two LIGO and one Virgo detector at their design sensitivities. General convention followed for directory naming: `chi_1` highly precessing system and `chi_2` slowly precessing system. `q1`, `q3` and `q7` correspond to three different mass ratios considered (maps to inverse mass ratios, 1/q=1, 3, 7) at a fixed total mass 40Msun. Finally, `theta_JN_0` represents a face-on system and `theta_JN_piby2` represents an edge-on binary. For example, `chip_1_q1_theta_JN_0` means a highly precessing equal mass binary with face-on orientation. Regarding different types of runs: `0noise_fixed_snr30` contains injections at a fixed signal-to-noise ratio of 30 and `0noise_fixed_snr30` contains injections at a fixed signal-to-noise ratio of 60. `0noise_fixed_snr30` contains `PhenomPv3HM_inj` and `PhenomPv3_inj`. `PhenomPv3HM_inj` (`PhenomPv3_inj`) is the case where IMRPhenomPv3HM (IMRPhenomPv3) waveform model is used. Data files, `PhenomPv3HM_pesummary.dat` means IMRPhenomPv3HM is employed as the recovery model and `PhenomPv3_pesummary.dat ` means IMRPhenomPv3 is employed as the recovery model. These files contain the posterior distributions on each of the binary parameters. We provide the injection parameters inside each directory, `inj.pkl`