Manticore-Deep uses tiled Bayesian field-level inference on SDSS and BOSS data to produce posterior ensembles of 3D cosmic fields that are consistent with LCDM and validated by 7.4σ CMB lensing and 3.5σ kSZ detections.
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High-redshift datasets constrain the local void gravitational redshift parameter z0 to be consistent with zero but allow the value needed for Hubble tension solution.
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The Manticore Project II: Bayesian digital twins of cosmic structure across the SDSS and BOSS volumes
Manticore-Deep uses tiled Bayesian field-level inference on SDSS and BOSS data to produce posterior ensembles of 3D cosmic fields that are consistent with LCDM and validated by 7.4σ CMB lensing and 3.5σ kSZ detections.
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Constraints on the gravitational potential from DESI DR2 BAO and its implications for the local void scenario
High-redshift datasets constrain the local void gravitational redshift parameter z0 to be consistent with zero but allow the value needed for Hubble tension solution.