A Direct Observational Search Strategy for De-horizoning Transitions: Identifying Pulsar Emergence from Isolated Stellar-Mass Black Hole Candidates

Standard general relativistic frameworks treat the event horizons of stellar-mass black holes as irreversible unidirectional boundaries. However, non-perturbative quantum gravity extensions, semiclassical back-reaction scenarios, and macroscopic topological drain mechanisms predict that non-accreting, isolated black holes experiencing net mass deflation can reach a critical instability threshold (M → M crit ≈ M TOV ). At this boundary, a dynamic phase transition ("de-horizoning") can eject the horizon boundary, relaxing the ultra-dense core into a de-confined nuclear lattice (a nascent magnetar or radio pulsar). Here, bypassing model-dependent interior microphysics, we propose a direct observational archival test to constrain or detect this transition. We outline a falsifiable three-stage observational protocol utilizing existing multi-messenger archives: (i) cataloging isolated black hole candidates identified via photometric/astrometric microlensing (e.g., OGLE, Gaia) with confirmed absence of luminous stellar progenitors; (ii) spatial cross-matching with short-duration, host-less high-energy transients (Fermi-GBM, Swift-BAT); and (iii) targeted, ultra-sensitive radio pulsation searches (MeerKAT, FAST, SKA-precursors) at the quiescent coordinates. This methodology provides a cost-effective, purely empirical test capable of confirming or ruling out non-singular horizon relaxation without invoking unverified cosmological parameters.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-26
DOI
https://doi.org/10.5281/zenodo.23674389
Primary Topic
Pulsars and Gravitational Waves Research
Type
article
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article

A Direct Observational Search Strategy for De-horizoning Transitions: Identifying Pulsar Emergence from Isolated Stellar-Mass Black Hole Candidates

Güven Yarkadaş
Zenodo (CERN European Organization for Nuclear Research)
Pulsars and Gravitational Waves Research
article

A Direct Observational Search Strategy for De-horizoning Transitions: Identifying Pulsar Emergence from Isolated Stellar-Mass Black Hole Candidates

Güven Yarkadaş
article en

Abstract

Standard general relativistic frameworks treat the event horizons of stellar-mass black holes as irreversible unidirectional boundaries. However, non-perturbative quantum gravity extensions, semiclassical back-reaction scenarios, and macroscopic topological drain mechanisms predict that non-accreting, isolated black holes experiencing net mass deflation can reach a critical instability threshold (M → M crit ≈ M TOV ). At this boundary, a dynamic phase transition ("de-horizoning") can eject the horizon boundary, relaxing the ultra-dense core into a de-confined nuclear lattice (a nascent magnetar or radio pulsar). Here, bypassing model-dependent interior microphysics, we propose a direct observational archival test to constrain or detect this transition. We outline a falsifiable three-stage observational protocol utilizing existing multi-messenger archives: (i) cataloging isolated black hole candidates identified via photometric/astrometric microlensing (e.g., OGLE, Gaia) with confirmed absence of luminous stellar progenitors; (ii) spatial cross-matching with short-duration, host-less high-energy transients (Fermi-GBM, Swift-BAT); and (iii) targeted, ultra-sensitive radio pulsation searches (MeerKAT, FAST, SKA-precursors) at the quiescent coordinates. This methodology provides a cost-effective, purely empirical test capable of confirming or ruling out non-singular horizon relaxation without invoking unverified cosmological parameters.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 14%
Pulsars and Gravitational Waves Research
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A Direct Observational Search Strategy for De-horizoning Transitions: Identifying Pulsar Emergence from Isolated Stellar-Mass Black Hole Candidates — Güven Yarkadaş · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS