arXiv (All)
open access
Gravitational-Wave Inference For Noise PSD Jumps Across Data Gaps
Long-duration gravitational-wave (GW) inference inevitably encounters data gaps, which are often accompanied by abrupt, non-stationary changes in the detector noise power spectral density (PSD). Conventional practice typically analyzes the pre-gap and post-gap data separately, causing avoidable info
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Time-Domain Synthesis of Gravitational-Wave Detector Glitches using Class-Conditional Derivative Generative Adversarial Networks#1109087
- The Billion-Euro Blind Spot How LIGO, Virgo and KAGRA Deleted the Only Real Echo and How the Livolsi Invariant Recovers It From Their Noise#707117
- Automated identification and subtraction of gravitational-wave glitches using boundary refinement#794101
- Automated identification and subtraction of gravitational-wave glitches using boundary refinement#790082
- Uncovering stochastic gravitational-wave backgrounds with LISA#997897
Record · ID 1141292
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive