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OMB Individually Reported

Using MML code generation to create new high-energy astrophysics science software

Low riskExact public inventory row

Description

We plan to train an LLM on previous large code bases for high-energy astrophysics science pipeline and analysis software. HEASARC is under a mandate to work on next-generation science software to modernize the existing code base and make it easier for new high-energy astrophysics missions to develop data plans at lower cost. By training LLM(s) on existing code the code assistants should be more effective in reducing the FTEs required to implement new systems.

Detailed example

A code assistant optimized for this type of software

AI / analytics pattern

Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).

Automation level / stage

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

Expected benefit

Modernizing the software that is maintained by HEASARC and reducing the FTEs for new development

Controls / human review

ATO: Not reported; PIA: Not published

Source

OMB 2025 Federal Agency AI Use Case Inventory

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