Tech Briefs

HORIZON Framework for Distributed Data Management and Product Generation Workflow

The NASA Earth Observing System Data and Information System (EOSDIS) is a data-centric system designed for the processing and archiving from NASA’s Earth Observation missions and their distribution, as well as provision of specialized services to users. The major components of EOSDIS are 12 Distributed Active Archive Centers (DAACs), 14 Science Investigator-led Processing Systems (SIPSs), and the EOS Clearing House (ECHO). The DAACs play an import role within EOSDIS. They are divided by discipline with User Working Groups (UWGs) tailored to mission and objectives of the DAAC.

Posted in: Briefs, Software

Read More >>

TIE: The Imagery Exchange for the NASA Global Imagery Browse Services (GIBS) Project

The NASA Earth Observing System Data and Information System (EOSDIS) is a data-centric system designed for processing and archiving from NASA’s Earth Observation missions and their distribution, as well as provision of specialized services to users. The major components of EOSDIS are 12 Distributed Active Archive Centers (DAACs), 14 Science Investigator-led Processing Systems (SIPSs), and the EOS Clearing House (ECHO). The Global Imagery Browse Services (GIBS) is the value-added image archive and access service for NASA Earth Science data products. It is the high-resolution global imagery solution for NASA. As the central imagery hub, GIBS is in need of an automated, scalable imagery capturing and generation solution.

Posted in: Briefs, Software

Read More >>

Space Communications and Navigation (SCaN) Game Phase III

The Space Communications and Navigation (SCaN) program is responsible for providing communications and navigation services to spaceflight missions located throughout the solar system. Astronauts, mission controllers, and scientists depend upon the reliable transmission of information between Earth and spacecraft in low Earth orbit (LEO) or deep space.

Posted in: Briefs, Software

Read More >>

Adverse Condition and Critical Event Prediction Toolbox (ACCEPT)

One of the main features is the relaxation of the technical conditions required for robust early detection of the onset of adverse events.Many natural or complex engineered systems rely upon critical functions or processes that can be measured with the aid of various sensors or other novel devices. As a result, sensor and measurement data can be used to learn a parametric or non-parametric model of the behavior for a given process or metric. For such processes or metrics, it may be critical to avoid or be forewarned of impending level crossings that may characterize entry into extreme or potentially catastrophic operating regimes. Under certain circumstances, the metric to be monitored may represent the residual, or difference between an actual value and a predicted value generated by an independent regression method, rather than a physical process having a physically interpretable meaning.

Posted in: Briefs, Software

Read More >>

MATLAB Webification Science Client

The Matlab Webification Science Client consists of several functions that access remote w10n-sci repositories to retrieve data. It supports user sessions to authenticate and authorize access to restricted repositories. In command line mode, it can list the contents of a w10n-sci node, change to other nodes, and retrieve data in chunks or as entire files. Command line mode facilitates batch processing of w10n-sci data by embedding these functions in custom MATLAB scripts.

Posted in: Briefs, Software

Read More >>

CUDA Framework for Linear Time-Invariant Control of Adaptive Optics Systems

The predictor used here is computed directly from a measured open-loop disturbance sequence using an efficient subspace identification algorithm.Current science objectives, such as high-contrast imaging of exoplanets, have led to the development of high-order adaptive optics (AO) systems possessing several thousand deformable mirror (DM) actuators. These systems typically rely on integrator-based control architectures, where the temporal error rejection bandwidth is limited by the computational latency between wavefront measurement and application of the DM commands. In many systems, this latency is the driving factor behind residual wavefront error.

Posted in: Briefs, Imaging, Optics, Photonics

Read More >>

Invertible Time Invariant Linear Filtering (InTILF) Method for Pattern Detection and Modeling of Stochastic One- or Two-Dimensional Data

This tool can analyze and model surface metrology data for polishing-tool fabricators.X-ray astronomy offers the opportunity to observe important phenomena, including the early accretion of massive black holes and detecting diffuse ionized intergalactic gas that is heated to X-ray temperatures (>106). One of the technical challenges facing X-ray astronomy is fabricating optics that are properly shaped and smooth enough to produce quality images. Surface defects on the order of the wavelength of the observed spectrum and up to the size of the optical surface must be polished out of the mirrors without leaving a detectable pattern because the detectable signal is on the order of magnitude of the noise. This leads to a cycle of polishing and metrology that adds time and expense to optics fabrication.

Posted in: Briefs, Imaging, Photonics

Read More >>

The U.S. Government does not endorse any commercial product, process, or activity identified on this web site.