NASA Scientific and Technical Aerospace Reports

20040111199 Physics and Electronics Lab. TNO, The Hague, Netherlands
SIMVEX Trial: Results of Background Measurements
deRooy, R.; deJong, A. N.; Neele, F. P.; December 2003; 76 pp.; In English
Contract(s)/Grant(s): A01/KM/740; TNO Proj. 015.31025
Report No.(s): TD-2003-0088; FEL-03-A049; Copyright; Avail: Other Sources
Background measurements as well as ship (’Quest’) measurements are made during the SIMVEX trial at Osborne Head,
Cape Scott Test Facility, Nova Scotia, Canada, with infrared camera systems in the 3-5 micron and 8-12 micron bands. The
objective was to collect and process a comprehensive set of background data during the trial. These measurements are used
for SHIPIR model validation. This model is used in TG16 as a NATO standard to calculate the (infrared) signature (contrast)
of a ship within a scenario. A scenario typically consists of environmental parameters, locations and ship design issues (stack
design and plume visibility). A validated model can be used to do calculate and predict the infrared visibility or detectability
of ships in these user defined scenarios. The calculation of ship’s vulnerability for threats like incoming missiles using infrared
seekers are an important military application. A validated background model is therefore of major importance. An empirical
data set is presented in this report.
Author
Ships; Infrared Signatures; Computerized Simulation; Predictions
20040111287 NASA Glenn Research Center, Cleveland, OH, USA
SCDM in a Distributed Environment
Crowley, Sandra L.; Housch, Helen I.; Madison, Heather L.; [2004]; 9 pp.; In English; 42nd AIAA Aerospace Sciences
Meeting and Exhibit, 5-8 Jan. 2004, Reno, NV, USA
Contract(s)/Grant(s): WBS 794-30-46
Report No.(s): AIAA Paper 2004-1216; Copyright; Avail: CASI; A02, Hardcopy
The Software Configuration Management (SCM) of the Space Launch Initiative (SLI) Advanced Engineering
Environment (AEE) products is performed in a distributed environment-meaning the activities performed during the project
lifecycle are across numerous NASA Centers, facilities, organizations, colleges and industry. SCM is the glue that holds the
project and products together-especially in a distributed environment. It identifies, controls, accounts, and verified the details
of the products; the schedule of activities; the assigned responsibilities; and the required resources, including staff, tools, and
computer facilities. Data/document management (DM) captures and conveys the SCM and project efforts. SCM and DM are
integrally linked; hence, Software Configuration and Data Management (SCDM). This paper discusses one team’s challenges
in implementing SCDM in a distributed environment. The distributed nature of the project introduces new opportunities for
moving SCDM to the next level of usefulness in today’s high-tech development arena. The lessons learned from the
implementation of distributed SCDM in support of the SLI AEE Project provide valuable information for future
implementations of SCM and DM.
Author
Configuration Management; Distributed Processing; Software Engineering; Data Management; Aerospace Sciences
20040111424 Morgan Research Corp., Huntsville, AL, USA
MSFC Stream Model Preliminary Results: Modeling the 1998-2002 Leonid Encounters and the 1993,1994, and 2004
Perseid Encounters
Moser, D. E.; Cooke, W. J.; August 16, 2004; 1 pp.; In English; Meteoroids 2004, 16-20 Aug. 2004, London, Ontario, Canada
Contract(s)/Grant(s): NNM04AA02C; No Copyright; Avail: Other Sources; Abstract Only
The cometary meteoroid ejection models of Jones (1996) and Crifo (1997) were used to simulate ejection from comets
55P/Tempel-Tuttle during the last 12 revolutions, and the 1862, 1737, and 161 0 apparitions of 1 OSP/Swift-Tuttle. Using
cometary ephemerides generated by the JPL HORIZONS Solar System Data and Ephemeris Computation Service, ejection
was simulated in 1 hour time steps while the comet was within 2.5 AU of the Sun. Also simulated was ejection occurring at
the hour of perihelion passage. An RK4 variable step integrator was then used to integrate meteoroid position and velocity
forward in time, accounting for the effects of radiation pressure, Poynting-Robertson drag, and the gravitational forces of the
planets, which were computed using JPL’s DE406 planetary ephemerides. An impact parameter is computed for each particle
approaching the Earth, and the results are compared to observations of the 1998-2002 Leonid showers, and the 1993-1 994
Perseids. A prediction for Earth’s encounter with the Perseid stream in 2004 is also presented.
Author
Leonid Meteoroids; Computerized Simulation
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