Publication Data for Assessing the Impact of Instrumental Requirements on the Scientific Performance of the Einstein Telescope

Injections for populations of compact binaries The release is based on simulated astrophysical source populations. For all the details, refer to the paper. Here we list the main properties and links to existing datasets from which the data are taken or are based on: Binary neutron stars (BNSs): Simulated with SEVN and cosmoRate, using Gaussian component-mass distributions, small aligned spins, and the PCP(BSK24) equation of state. Based on the fiducial catalog used in Loffredo et al. 2024. Population I/II stellar- and intermediate-mass binary black holes (BBHs/IMBHs): Simulated with B-POP using SEVN progenitor catalogs. The population includes isolated binary evolution, young star clusters, globular clusters, nuclear star clusters, and hierarchical mergers. Similar to the data released with Arca Sedda et al. 2026 available on Zenodo. Population III binary black holes: Generated with SEVN, fastcluster, and cosmoRate, including isolated binaries, and dynamically assembled binaries formed through three-body interactions. The original publication of the catalog we use can be retrieved from the Zenodo record (catalogs_30_11) by Mestichelli et al. 2024 Primordial black-hole binaries (PBHs): A cosmological population based on a QCD-era PBH mass function and an early-Universe binary-formation model, based on Franciolini et al. 2022. Binary-neutron-star post-merger signals: Six non-spinning numerical-relativity waveforms from the CoRe database, comprising three mass configurations (each configuration is represented with one soft and one stiff neutron-star equation of state): 1.35+1.35 M⊙ 1.528+1.222 M⊙ 1.75+1.00 M⊙ Continuous gravitational-wave sources: Known pulsars from the ATNF Pulsar Catalog. The analysis used their rotational frequencies, frequency derivatives, and distances; 2,048 of the 2,698 catalog sources fall within the adopted ET frequency band. Core-collapse supernova signals: Three-dimensional simulated waveforms taken from the release associated with Sukhbold et al. 2016, for two different progenitors: 9 M⊙ 19 M⊙ These starting datasets provide the common inputs used to calculate detection rates, parameter-estimation performance, pre-merger localization, post-merger observability, stochastic-background sensitivity, continuous-wave detectability, and core-collapse-supernova detection horizons. Results The results datasets contain the derived scientific-performance metrics obtained by analyzing the injected sources under the different Einstein Telescope sensitivity scenarios. They enable comparisons between the baseline detector sensitivity and the intermediate, worst-case, combined, and frequency-binned degradation scenarios. Results are provided for the ET-Δ 10 km and ET-2L 15 km configurations, except for the frequency-binned analysis, which was performed only for ET-2L 15 km. The results include: Compact-binary detection horizons: Maximum detectable redshift as a function of source-frame total mass for optimally oriented, equal-mass, non-spinning binaries. Compact-binary detections: Signal-to-noise ratios and detection selections for BNSs, Population I/II and intermediate-mass BBHs, Population III BBHs, and primordial black-hole binaries. Fisher-matrix results: Fisher-matrix estimates of uncertainties in chirp mass, luminosity distance, component spins, BNS tidal deformability, and sky-localization area. BNS pre-merger alerts: Detection counts and sky-localization estimates at 30, 10, and 1 minutes before merger. BNS post-merger observability: Post-merger signal-to-noise ratios for six CoRe numerical-relativity waveforms, calculated with and without the long-wavelength approximation. Stochastic-background sensitivity: Power-law integrated sensitivity curves and predicted backgrounds from the simulated BNS and BBH populations. Continuous-wave results: Minimum detectable neutron-star ellipticity and detection counts for sources from the ATNF Pulsar Catalog under different ellipticity assumptions. Core-collapse supernova results: Signal-to-noise ratios and detection-horizon distributions for simulated 9 and 19 M⊙ progenitors. The README provides details on how to use the injections and the results of this data release.