pith. sign in
module module high

IndisputableMonolith.Gravity.SPARCFalsifier

show as:
view Lean formalization →

The Gravity.SPARCFalsifier module defines numerical thresholds and boolean predicates for falsifying the ILG model against SPARC galaxy rotation-curve data via median chi-squared per degree of freedom. A physicist testing Recognition Science gravity predictions against observations would cite these constants and predicates when evaluating model viability. The module consists of imported constants from the RS time quantum together with simple threshold definitions and no deductive proofs.

claimGenerous threshold: if median $chi^2/mathrm{dof} > 5.0$ across the SPARC sample then ILG is falsified. Tight threshold and predicates ILG_falsified, RS_prediction_refuted, ILG_passes are likewise defined as decidable conditions on the same sample.

background

Recognition Science derives gravity from the T0-T8 forcing chain that fixes D=3 spatial dimensions and phi-based constants in RS-native units. The SPARCFalsifier module sits inside the gravity domain and imports the fundamental RS time quantum tau_0 = 1 tick from Constants. It introduces chi-squared per degree of freedom thresholds applied to fits of the SPARC sample, the observational catalog used to confront galactic dynamics models with data.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

The module supplies the concrete falsification criteria that close the loop from the theoretical T0-T8 derivation to empirical tests of ILG in the gravity sector. It feeds the broader Recognition Science program by providing decidable predicates that would refute RS predictions if the SPARC median chi-squared exceeds the stated thresholds. The supplied doc-comment fixes the generous threshold at 5.0 for the chi-squared per dof test.

scope and limits

depends on (1)

Lean names referenced from this declaration's body.

declarations in this module (29)