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A viewgraph presentation on NASA's Discovery Systems Project is given. The topics of discussion include: 1) NASA's Computing Information and Communications Technology Program; 2) Discovery Systems Program; and 3) Ideas for Information Integration Using the Web.
The NASA Office of Space Science is expanding opportunities to propose missions to comets, asteroids, and other solar system targets. The Discovery Program continues to be popular, with two sample return missions, Stardust and Genesis, currently in operation. The New Frontiers Program, a new proposal opportunity modeled on the successful Discovery Program, begins this year with the release of its first Announcement of Opportunity. Project Prometheus, a program to develop nuclear electric power and propulsion technology intended to enable a new class of high-power, high-capability investigations, is a third opportunity to propose solar system exploration. All three classes of mission include a commitment to provide data to the Planetary Data System, any samples to the NASA Curatorial Facility at Johnson Space Center, and programs for education and public outreach.
Commander Sergei Krikalev and Flight Engineer John Phillips of the Expedition 11 crew, along with the STS-114 Discovery crewmembers are shown on the International Space Station, answering questions from the news media. Eileen Collins, Commander summarizes the untold story of this mission and she also describes what re-entry is like. Steven Robinson, Mission Specialist talks about Extravehicular Activity (EVA) and the gap fillers used to replace missing tiles on the Space Shuttle Discovery. John Phillips describes the equipment coming off the space station and how this equipment will make the International Space Station more efficient. Soichi Noguchi, Mission Specialist answers questions about EVA 1, 2, and 3 and Collins talks about what impressed her most during these EVA's.
Wayne Hale, Space Shuttle Deputy Program Manager and Steve Poulos, Manager Orbit Project Office at Johnson Space Center is seen during a post Mission Management Team (MMT) briefing. The purpose of this briefing is to talk about the status of the Space Shuttle Discovery Orbiter, the Thermal Protection System (TPS) and the External Tank. Hale presents pictures of the missing foam off of the Hydrogen Protuberance Air Load (PAL) ramp and trajectory debris particles. Poulos explains in detail diagrams of the reinforced carbon-carbon system, possible scuff on the wing panel, coating damage, protruding gap filler and damaged tile blanket. Poulos tells what concerns him the most in terms of tile damage to the Space Shuttle Discovery.
A post landing discussion of the STS-114 Space Shuttle Discovery is shown. Dean Acosta, Deputy Assistant Administrator of Public Affairs introduces the panel. The panel consists of: Michael Griffin, NASA Administrator, Bill Parsons, Space Shuttle Program Manager, Mike Leinbach, NASA Launch Director, and Bill Readdy, Associate Administrator for Space Operations. Mike Griffin answers questions from the news media about the amount of damage to the Space Shuttle and the possibility of returning to space, Mike Leinbach addresses the question about the process of bringing Discovery back to Kennedy Space Center and Bill Parsons talks about milestones reached during this mission.
Wayne Hale, Space Shuttle Deputy Program Manager, discusses the topics covered at the Mission Management Team (MMT) meeting. The topics include: 1) Wing leading edge reinforced carbon-carbon clearance; 2) Protruding blanket on the side of the Space Shuttle Discovery Orbiter; 3) Control Moment Gyroscope (CMG) replacement; 4) Transfer items; and 5) EVA procedures. Questions from the news media about the possibility of a CMG failure, Space Shuttle re-entry, gap fillers, and dangers during the EVA to repair the Space Shuttle Discovery are answered.
Bruce Buckingham from NASA Public Affairs introduces Jeff Spaulding, NASA Test Director and Kathy Winters, Shuttle Weather Officer in this L-2 countdown status briefing. Spaulding gives the Space Shuttle launch countdown status before lift-off on July 26th. He expresses that vehicle launch and ground systems are performing well and that there are no significant issues in preparation for the launch. The crew arrival time to the launching pad and the launch window for Discovery is also discussed. He ends his countdown status by expressing that the Discovery Orbiter is the safest Shuttle to date. Kathy Winters gives her weather forecast for the launch day. She presents a satellite picture of tropical storm Franklin and charts showing the STS-114 Tanking Forecast, Launch Forecast, Solid Rocket Booster (SRB) recovery, Continental United States (CONUS) launch, Transoceanic Abort Landing (TAL) launch, 24 and 48 Hour Delay, CONUS 24 and 48 hour delay, and TAL 24 and 48 hr delay. Questions from the news media about the mood of the test engineers as launch day is approached are answered. Jessica Rye from NASA Public Affairs introduces Pete Nikolento, NASA Test Director; Scott Higgenbotham, STS-114 Payload Mission Manager; and Kathy Winters, Space Shuttle Weather Officer in this L-1 Countdown Status Briefing. Nikolento expresses that the completion of the main engine system check-outs and servicing of on-board fuel-cell reactants have been completed. He also talks about pad closeouts and external cryogenic loads prior to launch. Scott Higgenbotham gives the payload status and Kathy Winters talks about her weather forecast for launch. Questions about the ecosensors, TAL sites, weather forecast and thoughts about return to flight are addressed.
Phil Engelauf, STS-114 Mission Operations Representative, Mark Ferring, STS-114 Lead ISS Flight Director and Cindy Begley, STS-114 Lead EVA Officer is presented in this STS-114 Discovery mission status briefing. Mark Ferring talks about Control Moment Gyroscopes (CMG), Phil Engelauf discusses repair techniques for the Space Shuttle Discovery and Cindy Begley talks about the EVA's that Steve Robinson and Soichi Noguchi are performing. She also answers questions from the media about the spacewalker's ability to perform these tasks.
Dean Acosta, NASA Public Affairs Deputy Assistant Administrator hosted this press briefing. Michael Griffin, NASA Administrator; Bill Parsons, Shuttle Program Manager; Michael Leinbach, Shuttle Launch Director; and Bill Ready, Space Operations Associate Administrator were present. The Panel specifically honored the Columbia crew as they praised Commander Eileen Collin's performance in bringing the Discovery and crew safe back to Earth. Re-entry, test flight and next test flight, thermal insulation, heat, vehicle inspection, turn around processing, and ferrying Discovery back to the Kennedy Space Center were topics covered with the News media. Michael Griffin announced the launching of Mars Reconnaissance Orbiter will take place the following morning.
Wayne Hale, Space Shuttle Deputy Program Manager, is presented in this STS-114 Discovery Post Mission Management Team (MMT) briefing. He begins by talking about obtaining clearance from the Reinforced Carbon-Carbon (RCC) material. He then describes the supplies such as eleven water containers and the transfer of 50 additional pounds of Oxygen to the International Space Station. Hale presents a video of a billowed thermal blanket next to the commander's window on the port side of the Space Shuttle Discovery that seems to be of some concern. He answers questions from the news media about the dimensions of this blanket, and the dangers of getting close to this blanket during the Extravehicular Activity (EVA) to repair the gap fillers.
Steve Poulos, Space Shuttle Orbiter Projects Office Manager, and John Chapman, Space Shuttle External Tank Project Manager is shown in this STS-121 Space Shuttle Discovery safety improvements briefing. A graphic presentation of the gap filler installation is shown. The graphics include: 1) Protruding gap fillers during STS-114 mission; 2) STS-114 gap fillers removed on orbiter; 3) Gap filler installation prior to STS-114; 4) Post-STS-114 installation techniques; 5) Gap filler installation post STS-114; 6) Gap filler priority areas; 7) Discovery gap filler installation table and status for STS-121; 8) Damaged blanket on STS-114; 9) On-orbit photography and post-landing photography on STS-114; and 10) STS-114 insulation tiles. Poulos presents imagery that was obtained on STS-114. The imagery includes: 1) The Enhanced Launch Vehicle Imaging System (ELVIS); 2) Liquid oxygen external tank view; 3) Hand-held imagery of the external tank falling into the ocean; 4) ELVIS on STS-121, short, medium and long range camera configurations; 5) Radar capability on the ground at Kennedy Space Center, and 6) STS-121 aft external tank door tiles. Poulos says that STS-121 will have even more imagery than STS-114. John Chapman presents video animation of the external tank where modifications were made along with the ice frost ramps with extensions. Chapman explains these areas using an external tank model. Questions are then answered from the media.
We report the discovery that impacts in the Stardust cometary collector are not distributed randomly in the collecting media, but appear to be clustered on scales smaller than 10 cm. We also report the discovery of at least two populations of oblique tracks. We evaluated several hypotheses that could explain the observations. No hypothesis was consistent with all the observations, but the preponderance of evidence points toward at least one impact on the central Whipple shield of the spacecraft as the origin of both clustering and low-angle oblique tracks. High-angle oblique tracks unambiguously originate from a non-cometary impact on the spacecraft bus just forward of the collector.
With 3 years of on-orbit operations (launched in Nov 2004), Swift has detected over 300 gammaray bursts (GRBs). The unique combination of quick and accurate position determinations by the BAT instrument, fast autonomous spacecraft slewing, and multi-band instrumentation (XRT and UVOT) has allowed Swift to accumulate a long list of discoveries about GRBs. These positions are also available to the ground follow-up community (via TDRSS and GCN) within 15-30 sec. A summary of these discoveries will be given (e.g. long and short GRB host associations, SN associations, flaring and on-going activity in the central engine). The Swift spacecraft and instruments are in fine working order with no signs of performance degradation. With an expected orbital lifetime well past 2020, the overlap with GLAST (launch in mid-2008) will yield greater than 30 GRBs/year with observations by both missions. This will provide an unprecedented wavelength coverage from optical to 100 GeV. The coordination of pointing Swift with GLAST will be described.
A computational method, SimLearn, has been devised to facilitate efficient knowledge discovery from simulators. Simulators are complex computer programs used in science and engineering to model diverse phenomena such as fluid flow, gravitational interactions, coupled mechanical systems, and nuclear, chemical, and biological processes. SimLearn uses active-learning techniques to efficiently address the "landscape characterization problem." In particular, SimLearn tries to determine which regions in "input space" lead to a given output from the simulator, where "input space" refers to an abstraction of all the variables going into the simulator, e.g., initial conditions, parameters, and interaction equations. Landscape characterization can be viewed as an attempt to invert the forward mapping of the simulator and recover the inputs that produce a particular output. Given that a single simulation run can take days or weeks to complete even on a large computing cluster, SimLearn attempts to reduce costs by reducing the number of simulations needed to effect discoveries. Unlike conventional data-mining methods that are applied to static predefined datasets, SimLearn involves an iterative process in which a most informative dataset is constructed dynamically by using the simulator as an oracle. On each iteration, the algorithm models the knowledge it has gained through previous simulation trials and then chooses which simulation trials to run next. Running these trials through the simulator produces new data in the form of input-output pairs. The overall process is embodied in an algorithm that combines support vector machines (SVMs) with active learning. SVMs use learning from examples (the examples are the input-output pairs generated by running the simulator) and a principle called maximum margin to derive predictors that generalize well to new inputs. In SimLearn, the SVM plays the role of modeling the knowledge that has been gained through previous simulation trials. Active learning is used to determine which new input points would be most informative if their output were known. The selected input points are run through the simulator to generate new information that can be used to refine the SVM. The process is then repeated. SimLearn carefully balances exploration (semi-randomly searching around the input space) versus exploitation (using the current state of knowledge to conduct a tightly focused search). During each iteration, SimLearn uses not one, but an ensemble of SVMs. Each SVM in the ensemble is characterized by different hyper-parameters that control various aspects of the learned predictor - for example, whether the predictor is constrained to be very smooth (nearby points in input space lead to similar output predictions) or whether the predictor is allowed to be "bumpy." The various SVMs will have different preferences about which input points they would like to run through the simulator next. SimLearn includes a formal mechanism for balancing the ensemble SVM preferences so that a single choice can be made for the next set of trials.
In this paper we describe a process of algorithmic discovery that was driven by our goal of achieving complete, mechanically verified algorithms that compute conflict prevention bands for use in en route air traffic management. The algorithms were originally defined in the PVS specification language and subsequently have been implemented in Java and C++. We do not present the proofs in this paper: instead, we describe the process of discovery and the key ideas that enabled the final formal proof of correctness
The Crustal Dynamics Data Information System (CDDIS) supports data archiving and distribution activities for the space geodesy and geodynamics community. The main objectives of the system are to store space geodesy and geodynamics related data products in a central data bank. to maintain information about the archival of these data, and to disseminate these data and information in a timely manner to a global scientific research community. The archive consists of GNSS, laser ranging, VLBI, and DORIS data sets and products derived from these data. The CDDIS is one of NASA's Earth Observing System Data and Information System (EOSDIS) distributed data centers; EOSDIS data centers serve a diverse user community and arc tasked to provide facilities to search and access science data and products. Several activities are currently under development at the CDDIS to aid users in data discovery, both within the current community and beyond. The CDDIS is cooperating in the development of Geodetic Seamless Archive Centers (GSAC) with colleagues at UNAVCO and SIO. TIle activity will provide web services to facilitate data discovery within and across participating archives. In addition, the CDDIS is currently implementing modifications to the metadata extracted from incoming data and product files pushed to its archive. These enhancements will permit information about COOlS archive holdings to be made available through other data portals such as Earth Observing System (EOS) Clearinghouse (ECHO) and integration into the Global Geodetic Observing System (GGOS) portal.
The Global Change Master Directory (GCMD) provides an extensive directory of descriptive and spatial information about data sets and data-related services, which are relevant to Earth science research. The directory's data discovery components include controlled keywords, free-text searches, and map/date searches. The GCMD portal for NASA's Land Atmosphere Near-real-time Capability for EOS (LANCE) data products leverages these discovery features by providing users a direct route to NASA's Near-Real-Time (NRT) collections. This portal offers direct access to collection entries by instrument name, informing users of the availability of data. After a relevant collection entry is found through the GCMD's search components, the "Get Data" URL within the entry directs the user to the desired data. http://gcmd.nasa.gov/r/p/gcmd_lance_nrt.
We report the discovery of PSR J2022-<-3842, a 24 ms radio and X-ray pulsar in the supernova remnant G76.9+i.0, in observations with the Chandra X-ray telescope, the Robert C. Byrd Green Bank Radio Telescope, and the Rossi X-ray Timing Explorer (RXTE). The pulsar's spin-down rate implies a rotation-powered luminosity E = 1.2 X 10(exp 38) erg/s, a surface dipole magnetic field strength B(sub S), = 1.0 X 10(exp 12) G, and a characteristic age of 8.9 kyr. PSR J2022+3842 is thus the second-most energetic Galactic pulsar known, after the Crab, as well as the most rapidly-rotating young, radio-bright pulsar known. The radio pulsations are highly dispersed and broadened by interstellar scattering, and we find that a large (delta f/f approximates 1.9 x 10(exp -6)) spin glitch must have occurred between our discovery and confirmation observations. The X-ray pulses are narrow (0.06 cycles FWHM) and visible up to 20 keV, consistent with magnetospheric emission from a rotation-powered pulsar. The Chandra X-ray image identifies the pulsar with a hard, unresolved source at the midpoint of the double-lobed radio morphology of G76.9+ 1.0 and embedded within faint, compact X-ray nebulosity. The spatial relationship of the X-ray and radio emissions is remarkably similar to extended structure seen around the Vela pulsar. The combined Chandra and RXTE pulsar spectrum is well-fitted by an absorbed power-law model with column density N(sub H) = (1.7 +/- 0.3) x 10(exp 22) / sq cm and photon index Gamma = 1.0 +/- 0.2; it implies that the Chandra point-source flux is virtually 100% pulsed. For a distance of 10 kpc, the X-ray luminosity of PSR J2022+3842 is L(sub x){2-1O keV) = 7.0 x 10(exp 33) erg/s. Despite being extraordinarily energetic, PSR J2022+3842 lacks a bright X-ray wind nebula and has an unusually low conversion efficiency of spin-down power to X-ray luminosity, Lx/E = 5.9 X 10(exp-5).