arXiv (All)
open access
Bayesian power spectrum estimation with modelling of systematic effects in delay-fringe rate space
Observing the Epoch of Reionisation using 21cm radio interferometry has proven to be a challenging task. Extraction of the extremely faint redshifted signal is complicated by the presence of bright foregrounds, radio frequency interference (RFI), and systematic artefacts. We discuss the challenge of
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
- Locating Power System Oscillation Sources by Extracting Interharmonics from Synchrophasor Data#925585
- Improving solar irradiance estimates for PV production in Ireland using Bayesian spatio-temporal modelling with open-source data#1002185
- Atmospheric N<sub>2</sub>O Observations Suggest Shifting Regional Emission Influences in Southern China#442388
- Night-sky emission correction techniques for high-resolution spectroscopy: Demonstration with NIRPS#926299
- On Luminosity and morphology segregation in the Southern Sky Redshift Survey 2#639256
Record · ID 1144789
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