cv_lukas_mandrake_jpl_update2016_formatted

AREAS OF EXPERTISE
Presentation & communication
Strategic Planning
Technology infusion
Capture Lead for industrial /
scientific proposals
Instrument validation
Data filtration / bias removal
Machine learning methods
Process automation
Data analysis
Physics / Simulation
PERSONAL SKILLS
Award-winning educator
& presenter
Creative problem solver
Natural leader
Recognized organizer
Flexible learner in new fields
PERSONAL DETAILS
JPL bldg 158-201
M: (818) 726-1663
W: (818) 35 4-1705
E: lukas.mandrake@jpl.nasa.gov
Lukas Mandrake
Senior Machine Learning Researcher
PERSONAL SUMMARY
I have been working with Machine Learning (ML) techniques at JPL
for the past 13 years, supporting the ionospheric group within section
335, various science-based investigations within section 398, and now
through industrial partnerships with corporations such as Statoil and
Chevron. My largest sole contribution has been the award-winning
invention of the data filtration / selection method called DOGO while
supporting the OCO-2 flight project, solving their level-one
requirement needs for advanced validation, filtration, bias-
determination, and data checkout. I am actively seeking additional
responsibility, focusing on new roles that provide communication,
oversight, and guidance both to projects and younger group members.
ACADEMIC QUALIFICATIONS
Ph.D. Physics, Computational Plasma Simulation 2002
University of California, Los Angeles
M.S. Physics, Theory of Plasmas 1996
University of California, Los Angeles
B.S. Engineering Physics, magna cum laude 1994
University of Arizona
RESEARCH INTERESTS
• Application of simple, powerful ML techniques to real world
challenges and science applications
• Teaching of ML principles among researchers & management
• High-fidelity simulations for testing & trade-off analysis
• Quality estimation paradigm shift from binary to continuum
• Novel instrument designs and associated inversion algorithms
• Enhancement of ML algorithms via ensemble combination
TECHNICAL SKILLS
• Broad language fluency (Python, Matlab, C++, PERL, others)
• Datasets: hyperspectral, spectroscopic, chromatographic,
image-based, high-dimensional, heterogeneous, minority
• Code speed-up using C infusion into scripting languages
• Wide variety of ML techniques including feature selection,
SVM, genetic, Kalman, rule-mining, segmentation, manifold
embedding, dimension reduction, and regressive methods
• Cluster and Cloud computing, distributed systems, parallel
algorithms, large-scale data, ensemble methods

EXPERIENCE
MACHINE LEARNING MISSION LIAISON, GROUP LEAD, AND PROGRAM LIAISON 2016 – present
JPL/NASA/CALTECH (398 PARTNERED WITH DIV 8120 INFORMATION & DATA SYSTEMS)
• Facilitate and oversee needs of MLIA group
• Connect with external business opportunities and facilitate development
• Lead infusion of Machine Learning / Autonomy into mission formulation, operations, and analysis
• Advise JPL strategy on ML/A incorporation at all levels as a cross-cutting technology
CAPTURE LEAD & PROPOSAL MANAGER 2014 – present
JPL/NASA/CALTECH (398 PARTNERED WITH SECTION 822)
• Captured Chevron funds for development of new ML-based alarm management Annex ($20k)
• Proposal manager for Statoil software proposal initiative, saving troubled Statoil relationship
• Captured continuation funds to complete division 34 tiger team Statoil proposal ($120k)
OCO-2 SOUNDING SELECTION / QUALITY ESTIMATION COG-E 2012 – present
JPL/NASA/ CALTECH (398 PARTNERED WITH 802)
• Personally invented Warn Levels(WL): ranked replacement for quality flags yielding better science
• Personally invented Data Ordering Genetic Opt. (DOGO), semi-autonomous method to make WL’s
• Cognizant Engineer for Data Quality Assessment for OCO-2 (public Warn Level product)
• Won runner-up (2014), winner (2015) in JPL Software of the Year with DOGO
• Won runner-up (2015) in NASA-wide Software of the Year with DOGO
• Used DOGO + Warn Levels to create OCO-2 operational sounding selector & data quality estimate
• Lead OCO-2 bias determination team w/ modified DOGO to produce several operational bias
correction formula that mix data-driven and manual methods
SENIOR APPLIED RESEARCHER, MACHINE LEARNING & INSTRUMENT AUTONOMY GROUP 2007 - present
JPL/NASA, CALTECH (398)
• Lead several small teams for proposal-generation, directed studies, and mission-support analysis
• Invented genetic method to make custom ensembles for Martian landscape ID (Landmarks)
• Invented operational, autonomous major constituents flight code for VCAM system
• Implemented gas chromatography mass spectrometry operational code for VCAM flight project
• Invented autonomous, onboard, minority sulfur detector for EO-1 Hyperion (Europa analog)
• Implemented HiiHAT toolkit in ENVI using superpixels for hyperspectral endmember detection
• Improved state-of-the-art SVM-driven classification tool PixelLearn for regression functionality
EDUCATOR & SPEAKER 2007 – present
JPL/NASA/ CALTECH (398)
• Guided, lectured, and facilitated science users into adoption of novel OCO2 Warn Levels
• Evangelized ML methods for users of OCO-2, Caltech researchers, and at >30 conferences
• Mentored three summer students and four new staff hires, with emphasis on career building
• Hosted over 390 school-aged students in a series of 12 educational tours
TECHNICAL STAFF, IONOSPHERIC WORKING GROUP 2002 – 2007
JPL/NASA, CALTECH (335)
• Improved & validated cutting-edge Kalman-assimilative ionospheric weather modeling (GAIM)
• Mastered python and PERL of own initiative and re-wrote control script suite, enhancing utility

RESEARCH ASSOCIATE, COMPUTATIONAL PLASMA PHYSICS 1997 - 2002
UNIVERSITY OF CALIFORNIA LOS ANGELES PHYSICS DEPARTMENT
• Personally designed novel C++ 2.5D Particle-In-Cell (PIC) sim to study auroral plasma dynamics
• Personally invented own networking protocol across 8 Wintel platforms for parallelization of above
• Constructed theoretical framework for comparing plasma physics sim and experimental results
STATISTICS AND MODELING CONSULTANT 2000 - 2001
EREAL ESTATE INTEGRATION (REI)
• Lead team for statistical analysis of property data using self-authored regressive analysis scripts
• Successfully predicted target apartment rents as a function of location and amenity quality
• Interpreted predicted rents into saleable, advisory reports for non-technical real-estate audience
RESEARCH ASSOCIATE, EXPERIMENTAL PLASMA PHYSICS 1995 - 1997
• Designed/implemented autonomous, motorized, data acquisition system in LabVIEW
• Acquired, analyzed, and visualized massive simulation and experimental volumetric data sets
• Maintained and improved world-class plasma research device (“LARGE PLASMA DEVICE”)
TECHNICAL/CREATIVE WRITER AND DESIGNER 1998 - 1999
NOVALOGIC, INC.
• Lead story and dialog generation for games (Armored Fist 2, Tachyon) with designer credit
• Normalization of damage, money, and technology economies
LEAD TEACHING ASSOCIATE 1994 - 1996
• Trained & managed six teaching assistants to ensure uniformity of grading and teaching
• Restructured physics laboratory curriculum to modernize via PC-based data acquisition
• Authored 50 page laboratory manual and produced illustrative graphics (used for 10+ years)
• Awarded outstanding evaluations and letters of commendation for every quarter of performance
UNDERGRAD RESEARCH ASSISTANT, EXPERIMENTAL MATERIAL SCIENCE 1993 - 1994
UNIVERSITY OF ARIZONA PHYSICS DEPARTMENT
• Studied superconducting transition of thin film KxC60 (buckyballs) magnetoresistance
• Discovered cheaper, easier method of potassium doping to facilitate world-wide collaboration

AWARDS & HONORS
NASA Group Achievement (OCO-2 Sci Val Team) JPL 2016
NASA Group Achievement (OCO-2 Sci Alg Team) JPL 2016
Voyager Award (OCO-2 Warn Levels) JPL 2016
NASA Software of the Year runner-up JPL 2015
JPL Software of the Year winner JPL 2015
Discover Award (OCO-2 Bias Correction) JPL 2014
JPL Software of the Year runner-up JPL 2014
Team Bonus Award (OCO-2 Flight Software) JPL 2012
Mariner Award (OCO-2 Sounding Selection) JPL 2011
Team Bonus Awards x2 (ACOS & VCAM) JPL 2010
Space Act Award (VCAM / MCA) JPL 2010
NASA Certificate of Recognition x 3 JPL 2009
One NASA Peer Award JPL 2006
JPL Spot Award JPL 2004
Outstanding Student Paper, twice running AGU 1999 & 2000
Departmental Award, Teaching Excellence x 2 UCLA Physics 1995 & 1996
Dean’s List with Distinction in Engineering University of Arizona 1991 & 1992
Regents’ Scholarship for Academic Excellence University of Arizona 1991
NEW TECHNOLOGY REPORTS & PATENTS: 19 & 1
49817
Data Optimization via Genetic Ordering (DOGO) system: a replacement for binary quality flags by
instead ordering data
Feb 15
49521
Design of x-ray backscatter imager using generalized RADON transforms for oil well integrity
verification (PATENTED CIT 6890-P)
Apr 14
49483
An empirical metric of individual datapoint utility given ample metadata as applied to the OCO-2 flight
system
Feb 14
49039 JPLRB: Real-Time Classification Engine for Transient Detection Feb 13
48663 Mixture-Tuned Clutter Matched Filter for remote detection of Subpixel Spectral Signals Apr 12
48255 Scatter-reducing sounding filtration using a genetic algorithm and mean monthly standard deviation Jun 11
48254 Automated Generation of Adaptive Filter using a Genetic Algorithm and Cyclic Rule Reduction Jun 11
48247 Scatter-reducing filtration using a genetic algorithm and mean monthly standard deviation Jun 11
46564
Construction of an SVM (Support Vector Machine) using a linear kernel to operate on-board the EO-1
Spacecraft using Hyperion hyperspectral imagery to detect surface sulfur deposits
Aug 11
48057 Pre-filtration of GOSAT data using only level 1 data and an intelligent filter to remove low clouds Feb 11
47984 A Quick Procedure to Convert Radiance Data from the Moon Mineralogy Mapper (M3) to Reflectance Dec 10
47794 Cyclic Reduction for a Set of Rules Aug 10
47788 Automatic Data Filter Customization Using a Genetic Algorithm Aug 10
47670
Simple scalar estimator of residual CO2 atmospheric absorption (ATMO) for CRISM/MRO
hyperspectral images of the Martian surface
Jun 10
47463
Neutral Region Detection using Superpixel Segmentation and Least Squares Error for Hyperspectral
Imagery
Dec 09
47217
Histogrammatic Method for Determining Relative Abundance (MCA) of Input Gas Pulse in the
Presence of Obscuring Gas Background
Jul 09
46956
Performing Major Constituents Analysis (MCA) on the VCAM instrument including automated mass
calibration using global optimization
Mar 09
46691 Quantification of Trace Chemicals using Vehicle Cabin Atmosphere Monitor Oct 08
46563
Adaptation of the AMDIS method (NIST) to flight status on the VCAM instrument for ISS installation
in an autonomous manner
Oct 08

PEER-REVIEWED PUBLICATIONS (>35 pubs, >530 citations, i10 index 11, h-index 11)
D. Wunch, P. O. Wennberg, G. Osterman,
B. Fisher, B. Naylor, C. Roehl, C. O’Dell, L.
Mandrake, et al. Comparisons of the Orbitting
Carbon Observatory-2 (OCO-2) XCO2
measurements with TCCON, Atmo. Meas. Tech.
Disc., 2016
K. L. Wagstaff, A. Altinok, B. Bue, S. A.
Chien, L. Mandrake. Instrument Science
Autonomy for Orbital and Flyby Planetary
Missions, 3rd
Intern. Workshop on Instr. For
Planetary Miss., 2016.
R. R. Nelson, C. W. O’Dell, T. E. Taylor, L.
Mandrake, M. Smyth. The Potential of Clear-
Sky Carbon Dioxide Satellite Retrievals,
Atmospheric Measurement Techniques, 2016
K. L. Wagstaff, G. B. Doran, R. Kiran, L.
Mandrake, N. Schorghofer, A. Stanboli.
Landmark Classification and Content-Based
Search for Mars Orbital Imagery, Second
Planetary Data Workshop, 1846, 7058-, 2015.
H. Nguyen, G. Osterman, D. Wunch, C.
O'Dell, L. Mandrake, P. Wennberg, B. Fisher,
R. Castano. A method for colocating satellite
XCO2 data to ground-based data and its
application to ACOS-GOSAT and TCCON.
Atmospheric Measurement Techniques, 7, 1495-
1533, 2014.
Lukas Mandrake, C. Frankenberg, C. W.
O'Dell, G. Osterman, P. Wennberg, D. Wunch.
Semi-autonomous Sounding Selection for OCO-
2. Atmospheric Measurement Techniques, 6,
2851-2864, 2013.
David R. Thompson, Lukas Mandrake,
Robert O. Green, Steve Chien. A Case Study of
Subpixel Target Detection in Multimodal and
Outlier-contaminated Scenes. IEEE Geoscience
and Remote Sensing Letters, vol. 10 no. 5, 2013.
Lukas Mandrake, Umaa Rebbapragada,
Kiri Wagstaff, David Thompson, Steve Chien,
Daniel Tran, Robert T. Pappalardo, Damhnait
Gleeson, Rebecca Castano. Surface Sulfur
Detection via Remote Sensing and Onboard
Classification. Transactions on Intelligent
Systems and Technology, 2012.
M. R. Darrach, A. Chutjian, Benjamin
Bornstein, A. P. Croonquist, V. Garkanian, J.
Hofman, D. Karmon, J. Kenny, R. D. Kidd, S.
Lee, J. A. MacAskill, S. M. Madzunkov, Lukas
Mandrake, R. T. Schaefer, N. Toomarian. Trace
Chemical and Major Constituents Measurements
of the International Space Station Atmosphere by
the Vehicle Cabin Atmosphere Monitor.
American Institute of Aeronautics and
Astronautics, 2012.
Crisp D., B. M. Fisher, C. O'Dell, C.
Frankenberg, R. Basilio, H. Bosch, L. R. Brown,
R. Castano, B. Connor, N. M. Deutscher, A.
Eldering, D. Griffith, M. Gunson, A. Kuze, L.
Mandrake, J. McDuffie, et al. The ACOS CO2
retrieval algorithm - Part II: Global XCO2 data
characterization. Atmospheric Measurement
Techniques, 2012.
Wunch, D., P. O. Wennberg, G. C. Toon, B.
J. Connor, B. Fisher, G. B. Osterman, C.
Frankenberg, L. Mandrake, C. W. O’Dell, et al.
A method for evaluating bias in global
measurements of CO2 total columns from space.
Atmospheric Chemistry and Physics, 2011.
Martha S. Gilmore, David R. Thompson,
Laura J. Anderson, Nader Karamzadeh , Lukas
Mandrake, Rebecca Castaño. Superpixel
segmentation for analysis of hyperspectral data
sets, with application to Compact Reconnaissance
Imaging Spectrometer for Mars data, Moon
Mineralogy Mapper data, and Ariadnes Chaos.
Mars. J. Geophys. Res. vol. 116, E07001, 2011.
Bornstein, A. P. Croonquist, V. Garkanian, V. R.
Haemmerle, J. Hofman, W. M. Heinrichs, D.
Karmon, J. Kenny, R. D. Kidd, S. Lee, J. A.
MacAskill, S. M. Madzunkov, Lukas
Mandrake, et al. On-Orbit Measurements of the
ISS Atmosphere by the Vehicle Cabin
Atmosphere Monitor. American Institute of
Aeronautics and Astronautics. July 2011.

Bornstein, A. P. Croonquist, V. Garkanian, V. R.
Haemmerle, W. M. Heinrichs, D. Karmon, J.
Kenny, R. D. Kidd, S. Lee, J. A. MacAskill, S.
M. Madzunkov, Lukas Mandrake, et al.
Validation Test Results from the Vehicle Cabin
Atmosphere Monitor. American Institute of
Aeronautics and Astronautics, July 2010.
D. F. Gleeson, R. T. Pappalardo, S. E.
Grasby, M. S. Anderson, B. Beauchamp, R.
Castano, S. A. Chien, T. Doggett, L. Mandrake,
K. L. Wagstaff. Characterization of a sulfur-rich
Arctic spring site and field analog to Europa
using hyperspectral data. Remote Sensing of the
Environment, , 114(6), p. 1297-1311, June 15,
2010.
Martha Gilmore and Rebecca Castano.
Superpixel Endmember Detection. Transactions
on Geoscience and Remote Sensing, 48(11):4023-
4033, Nov 2010.
Lukas Mandrake, David R. Thompson,
Martha Gilmore, Rebecca Castano, Eldar Z. N.
Dobrea. Automated Neutral Region Selection
Using Superpixels. Proceedings of the IEEE
WHISPERS conference, June 2010.
Lukas Mandrake, D. R. Thompson, M.
Gilmore, R. Castano. Hii-HAT: an IDL/ENVI
Toolkit for Rapid Hyperspectral Inquiry. 41st
Lunar and Planetary Sciences, March 2010.
Lukas Mandrake, Kiri L. Wagstaff,
Damhnait Gleeson, Umaa Rebbapragada, Daniel
Tran, Rebecca Castano, Steven Chien, Robert T.
Pappalardo. Onboard SVM Analysis of Hyperion
Data to Detect Sulfur Deposits in Arctic Regions.
Proceedings of the IEEE WHISPERS conference,
August 2009.
Pappalardo. Onboard Detection of Natural Sulfur
on a Glacier via an SVM and Hyperion Data.
Proceedings of the 30th IEEE Aerospace
Conference, March 2009.
Lukas Mandrake, Seungwon Lee,
Benjamin Bornstein, Brian Bue. Adapting
AMDIS for Autonomous Spectral Identification
of Hazardous Compounds for ISS Monitoring.
Seungwon Lee, Lukas Mandrake,
Benjamin Bornstein, Brian Bue. Quantification of
Trace Chemicals using Vehicle Cabin
Atmosphere Monitor. Proceedings of the 30th
IEEE Aerospace Conference, March 2009.
A. Chutjian, M. R. Darrach, Benjamin
Bornstein, A. P. Croonquist, E. Edgu-Fry, D. J.
Fry, V. Garkanian, M. A. Girard, V. R.
Haemmerle, W. M. Heinrichs, R. D. Kidd, S.
Lee, J. A. MacAskill, S. M. Madzunkov, Lukas
Mandrake, et al. Results from the Vehicle Cabin
Atmosphere Monitor: A Miniature Gas
Chromatograph/Mass Spectrometer for Trace
Contamination Monitoring on the ISS and Orion.
American Institute of Aeronautics and
Astronautics, June 2008.
Umaa Rebbapragada, Lukas Mandrake,
Kiri L. Wagstaff, Damhnait Gleeson, Rebecca
Castano, Steve Chien, and Carla E. Brodley.
Improving Onboard Analysis of Hyperion Images
by Filtering Mislabeled Training Data Examples.
Michael C. Burl, Michael J. Garay, Clare
Averill, Benjamin Bornstein, Lukas Mandrake,
Yi Wang, Justin Ng. Generation of Object-
Centric Datasets with Adaptive Sky. Proceedings
of the Earth Science Technology Conference.
2008.
M.C. Burl, M.J. Garay, C. Averill, B.J.
Bornstein, L. Mandrake, Justin Ng, Yi Wang.
Adaptive sky sensor web: novel multi-instrument,
multi-satellite observations of volcanic ash. 4th
International Conference on Intelligent
Environments (IE 08), 2008.

Ashley Gerard Davies, Daniel Q. Tran,
Lukas Mandrake, et al. The Model-Based
Volcano Sensor Web: Progress in 2007.
Proceedings of the Earth Science Technology
Conference. 2008.
A. Chutjian, M. R. Darrach, B. Bornstein, A.
P. Croonquist, E.Edgu-Fry, D. J. Fry, V.
Garkanian, M. A. Girard, V. R. Haemmerle,
W.M. Heinrichs, R. D. Kidd, S. Lee, J. A.
MacAskill, L. Mandrake, et al. Results Using
the Vehicle Cabin Atmosphere Monitor: A
Miniature Gas Chromatograph/Mass
Spectrometer for Trace Contamination
Monitoring on the ISS and Orion. International
Conference on Environmental Systems (ICES),
Proceedings of the NASA Science Technology
Conference (NSTC), 2007.
Ashley Davies, Robert Wright, Philip Kyle,
Rebecca Castano, Steve Chien, Daniel Tran,
Scott Chadde, Lukas Mandrake, Dan Mandl and
Stuart Frye. A Science Model-Driven
Autonomous Volcano Sensor Web. Proceedings
of the NASA Science Technology Conference
(NSTC), 2007.
E. Yizengaw, H. Wei, M. B. Moldwin, D.
Galvan, L. Mandrake, A. Mannucci. The
Correlation Between Mid-Latitude Trough and
the Plasmapause. Geophysical Research Letters.
vol 32, L10102, doi:10.1029/2005GL022954,
2005.
Lukas Mandrake, Brian Wilson, Chun-
ming Wang, George Hajj, Anthony Mannucci,
Xioquing Pi. A performance evaluation of the
operational Jet Propulsion Laboratory /
University of Southern California Global
Assimilation Ionospheric Model (JPL/USC
GAIM). J. Geophys. Res., 110, A12306, 2005.
L. Mandrake, B.D. Wilson, C. Wang,
G.Hajj, A. Mannucci, X. Pi. Performance of the
Operational JPL/USC Global Assimilation
Ionospheric Model. J. Geophys. Res.11th
International Ionospheric Effects Symposium,
Alexandria VI, May 3-5, 2005.
Lukas Mandrake, B. Wilson, G. Hajj, X.
Pi, C. Wang, G. Rosen. Daily Operation and
Validation of a Global Assimilative Ionosphere
Model. Proceedings of the URSI National Radio
Science Meeting, Boulder, CO, January 2005.
Lukas Mandrake, Phillip Pritchett,
Ferdinand Coroniti. Electron Beam Generated
Solitary Structures in a Nonuniform Plasma
System. Geophysical Research Letters, Vol. 27,
No. 18, pp 2869-2872, 2000.
Lukas Mandrake, Walter Gekelman.
Large-scale Windows 95-based data-acquisition
system using LabVIEW. Computers in Physics,
Vol. 11, No. 5, Sep/Oct 1997.

SELECTED PRESENTATIONS (>30 available total)
K. Wagstaff, G. Doran, R. Kiran, L.
Mandrake, N. Schorghofer, A. Stanboli.
Landmark Classification and Content-Based
Search for Mars Orbital Imagery. 2nd
Planetary
Data Workshop, June 2015
Lukas Mandrake. Machine Learning at
JPL: Squeezing More Out of Your Data. Caltech
GPS lunch seminar, January 2015
Lukas Mandrake. Warn Levels: Where do
they come from, and what are they for? OCO-2
Algorithm Meeting, Caltech, January 2014
Lukas Mandrake. Informing Climate
Retrieval Development Using Data Mining -or-
How to help scientists draw better lines. Interface
2013 at Chapman University, April 2013.
M. R. Darrach, A. Chutjian, B. J. Bornstein,
A. P. Croonquist, V. Garkanian, V. R.
Haemmerle, W. M. Heinrichs, D. Karmon, J.
Kenny, R. D. Kidd, S. Lee, J. A. MacAskill, S.
M. Madzunkov, L. Mandrake, T. M. Rust, R. T.
Schaefer, J. L. Thomas, N. Toomarian.
Validation Test Results from the Vehicle Cabin
Atmosphere Monitor. International Conference
on Environmental Systems (ICES), July 2010.
Martha Gilmore, Rebecca Castano. Superpixel
Segmentation for Endmember Detection in
Hyperspectral Images. Proceedings of the
American Geophysical Union conference,
December 2009.
Pappalardo. Hyperspectral Sulfur Detection
Using an SVM with Extreme Minority Positive
Examples Onboard EO-1. IJCAI AI in Space
Workshop, July 2009.
Benjamin Bornstein, Seungwon Lee, Luke
Mandrake, Brian Bue. Autonomous
Identification and Quantification of Chemical
Species with VCAM for use Onboard the ISS.
IEEE Aerospace Big Sky, March 2008.
Kiri Wagstaff, Dennis Corwin, Lukas
Mandrake, Alex Roper, Lucas Scharenbroich.
Heterogeneous Agricultural Research Via
Interactive, Scalable Technology (HARVIST):
Infusion for the USDA. Earth Science
Technology Office Final Report, 2007.
L. Mandrake, G. Hajj, B. Iijima, X. Pi, G.
Rosen, P. Straus, C. Wang, B. Wilson. Results
from CHAMP, SAC/C and IOXGPS ionospheric
occultations obtained by the Abel Inversion and
data assimilation. International Union of Radio
Science Joint Working Group, Oct 2003.
L. Mandrake, W. Gekelman, T. Drozdenko,
S. Vincena. Experimental Studies of an Alfvénic
Pulse. Interrelationship between Plasma
Experiments in the Laboratory and in Space
(IPELS), 1997.

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