Regulated Black Hole Inference
Abstract
Black holes occupy a unique position in astrophysics, serving simultaneously as predictions of general relativity, laboratories for extreme gravity, and statistical populations inferred almost entirely through indirect observation. Despite major advances in gravitational-wave astronomy and high-resolution imaging, significant ambiguity remains in black-hole demographics, growth histories, and scaling relations. In this paper, the author extends the refined Spectral–Geometric Additive–Multiplicative (AM)-regulator framework previously applied to pulsars and magnetars to black hole observations. Demonstrating that, much of the apparent diversity in black-hole mass distributions, accretion states, and merger statistics can be traced to regulated Observability rather than intrinsic physical bifurcation. This framework preserves general relativity and standard astrophysical processes while imposing explicit information-theoretic and geometric constraints on inference. [2]
Read the paper
Related studies
- A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
- Toxicity of nanomaterials
- The Human Gene Mutation Database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studies
- Halogen bonding (X‐bonding): A biological perspective
- Biofilm formation at the air–liquid interface by the Pseudomonas fluorescens SBW25 wrinkly spreader requires an acetylated form of cellulose
- Opioid Activation of Toll-Like Receptor 4 Contributes to Drug Reinforcement
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.