Modular global-fit pipeline for LISA data analysis.

The uploaded dataset contains the APC/L2IT LISA globalfit results as detailed in https://arxiv.org/abs/2501.10277 The results are organized as follows: Files: catalog.h5: contains catalogs of the detected Galactic Binaries (under the path GB/) and Massive Black Holes Binaries (under path MBHB/) as well as the best estimate of the parameters of the noise model (under path noise/) mbhb_posterior.tgz: this file contains the chains of the Massive Black Holes Binaries posterior. The archived file MBHB/<source_id>.h5 contains the posterior of the source identified by source_id in the catalog noise_posterior.h5: contains the posterior for the noise model parameters Physics parameters: the parameters of the sources are the following Galactic Binaries Physics Parameters: amplitude: GB amplitude ecliptic_latitude: latitude of the ecliptic [rad] ecliptic_longitude: longitude of the ecliptic [rad] frequency: GB central frequency [Hz] frequency_dot: derivative of the GB frequency [Hz/s] inclination: GB system inclination [rad] polarization: polarization [rad] initial_phase: initial phase [rad] Massive Black Hole Binaries Physics Parameters: coalescence_time: time of merge [sec] ecliptic_latitude: latitude of the ecliptic [rad] ecliptic_longitude: longitude of the ecliptic [rad] projected_spin_1: spin 1 projected_spin_2: spin 2 inclination: MBHB system inclination [rad] distance: source distance [Gbpc] phase_at_coalescence: phase at merge [rad] polarisation: polarization [rad] mass_1: mass of BH 1 [Msun] mass_2: mass of BH 2 [Msun] Noise Model Physics Parameters: The 7-parameters noise model used is described in section III.D.3 of the paper. acceleration_noise: acceleration part of the instrumental noise oms_noise: optical metrology noise amplitude_log10: base 10 logarithm of the confusion noise overall scale frequency_1: scaling frequency for the confusion noise frequency_2: confusion noise power law deviation frequency scale alpha: confusion noise power law deviation exponent frequency_knee: transition frequency from resolvable to stochastic regime For each one of these parameters in the catalog we have the following entries: <parameter>: mean value. <parameter>_error: standard deviation. for each source we also have additional parameters: snr: source signal noise ratio. source_id: id of the source.test/mbhb_to_paper.pytest/mbhb_to_paper.py posterior: relative path to the source posterior file (only in the case of MBHB).