Catalog and Posterior Samples for: Expanding the Population of Short Gamma-Ray Transients with a Coherent Fermi/GBM Search. A 13-year catalog of short GRBs

Expanding the Population of Short Gamma-Ray Transients with a Coherent Fermi/GBM Search: 13-Year Catalog OverviewThis repository contains the complete trigger catalog and posterior samples generated from an archival search for short gamma-ray bursts (sGRBs) over 13 years (2013-2025) of Fermi/GBM data. The search utilizes a fully coherent Poisson matched-filter pipeline across all detectors and energy channels. Files- perera_et_al_2026_gbm_grb_catalog.csv: The complete 13-year trigger catalog containing all derived parameters and classifications.- perera_et_al_2026_posterior_samples.tar.gz: The MCMC chains for candidate triggers with a calibrated signal-to-noise ratio squared (SNR^2 >= 50). Note: The individual posterior sample files within this archive are indexed by their corresponding row index in the pipeline_GRB_catalog.csv file. Data description (perera_et_al_2026_gbm_grb_catalog.csv)- trigtime: The trigger time of the transient in UTC.- duration: The duration of the search boxcar template (in seconds) that maximized the detection test statistic.- search_binning: The time resolution of the TTE data segment used during the initial search pipeline (either 1 ms or 10 ms).- slc_index: The internal index of the data slice analyzed by the pipeline. This information was added for the reproducibility of the results. Relevant only for search_binning == 0.001 sec.- pe_duration: The refined peak-flux duration (in seconds) derived during the parameter estimation stage.- snr: The calibrated, drift-corrected Poisson matched-filter signal-to-noise ratio from the detection pipeline. Reported in units of standard normal distribution sigma.- pastro: The probability of astrophysical origin (p_astro).- FAR: The false alarm rate of the trigger, in units of Hz. Calculated assuming 65% livetime of GBM over 13 years.- bat_snr: The test statistic (rho_bat) resulting from the Swift/BAT targeted follow-up search. Reported in units of standard normal distribution sigma.- pbat: The probability that a temporally coincident signal in Swift/BAT is a genuine joint detection (p_bat).- classification: The source class assigned to the trigger by our decision tree framework (e.g., GRB1).- gbm_catalog: The identifier of a temporally coincident event in the standard GBM catalog.- ra_median, dec_median: The median values of the marginalized posterior distribution for the Right Ascension and Declination (in degrees).- ra_err_plus, dec_err_plus: The positive 1-sigma error bounds for the median values of the marginalized posterior distribution for the Right Ascension and Declination (in degrees).- ra_err_minus, dec_err_minus: The negative 1-sigma error bounds for the median values of the marginalized posterior distribution for the Right Ascension and Declination (in degrees).- band_epeak_median, band_alpha_median, band_beta_median: The median values of the marginalized posterior for the Band function spectral parameters (E_peak in keV, alpha, and beta).- band_epeak_err_plus, band_alpha_err_plus, band_beta_err_plus: The positive 1-sigma error bounds for the median values of the marginalized posterior for the Band function spectral parameters (E_peak in keV, alpha, and beta).- band_epeak_err_minus, band_alpha_err_minus, band_beta_err_minus: The negative 1-sigma error bounds for the median values of the marginalized posterior for the Band function spectral parameters (E_peak in keV, alpha, and beta).- ra_max, dec_max: The Maximum Likelihood Estimates (MLE) for the sky position.- band_epeak_max, band_alpha_max, band_beta_max: The Maximum Likelihood Estimates (MLE) for the Band function spectral parameters.- earth_bayes_factor: A statistical measure quantifying the probability of the trigger originating from the Earth.- sun_bayes_factor: A statistical measure quantifying the probability of the trigger originating from the Sun. Code AvailabilityThe detection pipeline code and parameter estimation framework used to generate this dataset are publicly available on GitHub at: https://github.com/PeAriel/grpype CitationIf you use this data or code in your research, please cite the accompanying papers: Perera, A., Zackay, B., & Venumadhav, T. (2025). A New Search Pipeline for Short Gamma-Ray Bursts in Fermi/GBM Data-A 50% Increase in the Number of Detections. The Astrophysical Journal Supplement Series. https://iopscience.iop.org/article/10.3847/1538-4365/ae0189