LEDDB: LOFAR Epoch of Reionization Diagnostic Database

TL;DR

The paper introduces LEDDB, a comprehensive database system designed for managing, analyzing, and visualizing LOFAR EoR observations to facilitate detection of the cosmological signal from the Epoch of Reionization.

Contribution

It presents a new database architecture and tools tailored for LOFAR EoR data management, analysis, and visualization, enhancing data handling and contamination diagnostics.

Findings

Efficient storage and retrieval of observational and diagnostic data.

Improved monitoring of telescope performance and contamination effects.

Enhanced visualization tools for diagnostic parameters.

Abstract

One of the key science projects of the Low-Frequency Array (LOFAR) is the detection of the cosmological signal coming from the Epoch of Reionization (EoR). Here we present the LOFAR EoR Diagnostic Database (LEDDB) that is used in the storage, management, processing and analysis of the LOFAR EoR observations. It stores referencing information of the observations and diagnostic parameters extracted from their calibration. This stored data is used to ease the pipeline processing, monitor the performance of the telescope and visualize the diagnostic parameters which facilitates the analysis of the several contamination effects on the signals. It is implemented with PostgreSQL and accessed through the psycopg2 python module. We have developed a very flexible query engine, which is used by a web user interface to access the database, and a very extensive set of tools for the visualization of the diagnostic parameters through all their multiple dimensions.