| Title: |
Symbolic Curvature Residual Analysis of GW Events Using OTR-Derived Tensors |
| Authors: |
Xu, Juan Hua; ChatGPT, OpenAI |
| Publisher Information: |
Zenodo |
| Publication Year: |
2025 |
| Collection: |
Zenodo |
| Subject Terms: |
gravitational waves; Omega Time Rotation; OTR; GW170814; GW170817; symbolic curvature; detection residuals; tensor diagnostics |
| Description: |
This project analyzes symbolic curvature residuals between gravitational wave detectors using tensors derived from Omega Time Rotation (OTR) principles. It provides a lightweight, symbolic diagnostic framework to probe signal distortions caused by Earth's internal structure. Results reveal tensor-level discrepancies consistent with anisotropic curvature, suggesting that traditional smooth-well GR assumptions may overlook path-specific modulations. ; If you use this work, please cite it using the metadata below. |
| Document Type: |
software |
| Language: |
unknown |
| Relation: |
https://github.com/JuanHuaXu/GW_OTR/tree/v0.9.1; https://zenodo.org/records/15541353; oai:zenodo.org:15541353; https://doi.org/10.5281/zenodo.15541353 |
| DOI: |
10.5281/zenodo.15541353 |
| Availability: |
https://doi.org/10.5281/zenodo.15541353; https://zenodo.org/records/15541353 |
| Rights: |
MIT License ; mit ; https://opensource.org/licenses/MIT |
| Accession Number: |
edsbas.FC2DEB43 |
| Database: |
BASE |