NIST has developed a new visual tool called a Stabilogram to help researchers analyze and improve the stability of testbed environments. The Stabilogram converts variations in testbed conditions into a visual representation, making it easier to identify and address sources of instability.
The tool uses colored squares to represent different types of variability:
– Black squares represent natural random measurement variation
– Blue squares represent the signal of interest
– Red squares represent interfering proxy variables
The size and edges of these squares indicate statistical variance and standard deviations. If red instability squares are the same size or larger than black noise squares, instability is present and may interfere with experiment goals. If no large red instability squares are present, the signal can be compared to black noise squares for detection.
Stabilograms are based on statistical analysis of variance (ANOVA) and can be adapted to various experimental setups. They enable intrinsic understanding and reveal measurement challenges to a broader audience. The tool is available for implementation in industry and government agencies, making it applicable to measurements across various scientific fields.
NIST’s Device-level Anomaly fRamEwork (DARE) project is using the Stabilogram to translate instability into real-world applications, particularly in cellular communication anomaly detection. This initiative demonstrates the practical application of the Stabilogram in various scientific fields and highlights the tool’s potential for enhancing research quality and interpretation.
Source: https://www.nist.gov/news-events/news/2022/11/stabilograms-visual-tool-testbed-performance
Keywords: stabilogram, testbed stability, signal interference
