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OMB Individually Reported

TAPAS (Track Augmentation and Performance Analysis System)

Low riskExact public inventory row

Description

TAPAS is a tool for automating the comparison of DSN telemetry data, designed to help DSN operators find potential anomalies faster and more efficiently.

Detailed example

anomalies

AI / analytics pattern

Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.

Automation level / stage

a) Pre-deployment – The use case is in a development or acquisition status.

Expected benefit

It has three autonomous functions: an automatic comparative analysis of a given track against a set of historical tracks, anomaly detection compared to a reference normal track, and statistical difference comparison between two given tracks. By using TAPAS, DSN operators can quickly identify discrepancies in the telemetry data and respond to them more effectively.

Controls / human review

ATO: Not reported; PIA: Not published

Source

OMB 2025 Federal Agency AI Use Case Inventory

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