Computational Framework for White Hole Detection in Gravitational Waves and CMB Data
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866909540812849152 |
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| author | Valamontes, Antonios Adamopoulos, Ioannis |
| author_facet | Valamontes, Antonios Adamopoulos, Ioannis |
| contents | This study presents a computational framework for evaluating the detectability of white hole-induced gravitational wave signals and their imprints on the cosmic microwave background (CMB). The approach integrates stochastic gravitational wave background (SGWB) polarization data from LISA with CMB-S4 B-mode anisotropies, utilizing Monte Carlo simulations, Bayesian inference, and signal-to-noise ratio (SNR) estimations to determine detection feasibility. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_13649 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Computational Framework for White Hole Detection in Gravitational Waves and CMB Data Valamontes, Antonios Adamopoulos, Ioannis General Relativity and Quantum Cosmology This study presents a computational framework for evaluating the detectability of white hole-induced gravitational wave signals and their imprints on the cosmic microwave background (CMB). The approach integrates stochastic gravitational wave background (SGWB) polarization data from LISA with CMB-S4 B-mode anisotropies, utilizing Monte Carlo simulations, Bayesian inference, and signal-to-noise ratio (SNR) estimations to determine detection feasibility. |
| title | Computational Framework for White Hole Detection in Gravitational Waves and CMB Data |
| topic | General Relativity and Quantum Cosmology |
| url | https://arxiv.org/abs/2503.13649 |