Observable Phase Structure in Reduced Reheating Maps

We introduce an operational reduced-geometry framework for periodic light modes in reheating-imprinted observable space. The analysis distinguishes phase-memory survival from branch-active response through branch-relative diagnostics and normalized alignment measures, and develops robustness tests for periodic phase geometry and branch-interface sensitivity.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-15
DOI
https://doi.org/10.5281/zenodo.20184926
Primary Topic
Neural Networks and Reservoir Computing
Type
preprint
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preprint

Observable Phase Structure in Reduced Reheating Maps

Hiroyuki Shioiri
Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Reservoir Computing
preprint

Observable Phase Structure in Reduced Reheating Maps

Hiroyuki Shioiri
preprint en

Abstract

We introduce an operational reduced-geometry framework for periodic light modes in reheating-imprinted observable space. The analysis distinguishes phase-memory survival from branch-active response through branch-relative diagnostics and normalized alignment measures, and develops robustness tests for periodic phase geometry and branch-interface sensitivity.

Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Reservoir Computing
DOIOpen Access PDFOpenAlex
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