CTM_Capabilities_Summary.pdf

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Modeling and Simulation Contract (MASC) Small Business Setaside
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CTM Capabilities Summary

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FOR OFFICIAL USE ONLY

(U) CTM Future Capabilities Summary

Ricardo L Parks, MDA/ESP CTM Lead

Missile Defense Agency

Area DE/S Model Requirement Title Description

Lethality KIDD Add DPICM Capability

Develop and implement debris from FPICM warhead engagements. Anchor resulting models to legacy DPICM sled test data

Lethality KIDD Add IDF and TDF Fast Run

Parameters

Add Fast Run parameters to IDF and TDF.

Preserve backup compatibility with previous versions

Lethality PEELS High fidelity KV geometry w/ FIP calculation

Develop first impact point and provide detailed component interactions for post-intercept debris analysis.

Lethality PEELS PEELSRT Develop an optimized run option to address running within real time frameworks

(U) CTM Future Capabilities

Signatures OSC Transmissive/translucent materials Develop the ability to address the thermal response of different material.

Signatures OSC Parallel processing Develop faster runtime for OSC.

Signatures OPTISIG BRDF modeling Develop the capability to better mirror the way threat inputs are represented in OSC

Signatures OPTISIG Language modernization

This would cover dynamic memory allocation and will also lead to a common DIPREF code base for OSC and OPTISIG

Signatures OPTISIG Shape Input

Expand the coverage of OPTISIG to address emerging requirements. Current computer processing speeds would support levels of fidelity that were outside the read of

OPTISIG in the past.

Environments CEM Modularization of Models

Breaking up the current, monolithic OSF

Common Environment Module (CEM) into individual component modules that correspond to the Environment Effects identified in the CTM Taxonomy and SRDs.

Environments CEM Verification and Validation

Verifying that CEM Environment State and

Effects modules produce the same results as those produced by their counterparts in the current, monolithic CEM

Validating CEM Environment State and

Effects models by comparing them against measurement data

Environments CEM Algorithm Development

Adapting and/or modifying existing CEM

Environment State and Effects models or creating new ones to replace current such models that have been found to be insufficient to meet MDA’s modeling and simulation needs

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