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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 55 records · Page 3
All sourcesNASA NTRSDOE OSTI
DOE OSTI2019

SLAC's EPICS building RHEL6/CentOS 6 environment Docker image

This is a Docker image builder. The final result of the script build_docker.sh is an image containing the SLAC's EPICS environment needed to build EPICS IOCs in RHEL6 or CentOS 6, including EPICS base, modules, packages, and environment variables. The builder can work with only one EPICS base version of choice, but it can contain multiple versions of the same module and package.

Donadio, Márcio Paduan↗
DOE OSTI2016

Report on Proton and Ion Beam measurements at the Matter in Extreme Condition (MCC) end station at SLAC National Accelerator Laboratory

We report on MeV ion beams produced with high-repetition rates of 1 Hz at the MEC end station at SLAC National Accelerator Laboratory. These data were obtained during the commissioning beam time of the new 30TW laser. After describing the experimental set-up, the laser conditions and the target diagnostics, ion beam spectra measured for different foil thicknesses and laser intensities will be presented and discussed. These results are subsequently compared with results from cryogenic hydrogen jets at MEC in January 2015.

70 PLASMA PHYSICS AND FUSION TECHNOLOGY↗
DOE OSTI2016

Studies of Hadronic Physics with the BaBar Detector at SLAC and the Atlas Detector at the LHC

The University of Louisville High Energy Physics group contributed significantly to the success of the BaBar Experiment at SLAC and the Mu2e Experiment at Fermilab. In particular, they have contributed to understanding hadronic processes in electron-positron annihilation and charged lepton flavor violation in a very rare muon conversion process. Both are high-precision undertakings at the Intensity Frontier of High Energy Physics.

72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗
DOE OSTI2014

A Look Inside SLAC's Battery Lab

In this video, Stanford materials science and engineering graduate student Zhi Wei Seh shows how he prepares battery materials in SLAC's energy storage laboratory, assembles dime-sized prototype "coin cells" and then tests them to see how many charge-discharge cycles they can endure without losing their ability to hold a charge. Results to date have already set records: After 1,000 cycles, they retain 70 percent of their original charge.

25 ENERGY STORAGE↗
DOE OSTI2015

Design of the SLAC RCE Platform: A General Purpose ATCA Based Data Acquisition System

The SLAC RCE platform is a general purpose clustered data acquisition system implemented on a custom ATCA compliant blade, called the Cluster On Board (COB). The core of the system is the Reconfigurable Cluster Element (RCE), which is a system-on-chip design based upon the Xilinx Zynq family of FPGAs, mounted on custom COB daughter-boards. The Zynq architecture couples a dual core ARM Cortex A9 based processor with a high performance 28nm FPGA. The RCE has 12 external general purpose bi-directional high speed links, each supporting serial rates of up to 12Gbps. 8 RCE nodes are included on a COB, each with a 10Gbps connection to an on-board 24-port Ethernet switch integrated circuit. The COB is designed to be used with a standard full-mesh ATCA backplane allowing multiple RCE nodes to be tightly interconnected with minimal interconnect latency. Multiple shelves can be clustered using the front panel 10-gbps connections. The COB also supports local and inter-blade timing and trigger distribution. An experiment specific Rear Transition Module adapts the 96 high speed serial links to specific experiments and allows an experiment-specific timing and busy feedback connection. This coupling of processors with a high performance FPGA fabric in a low latency, multiple node cluster allows high speed data processing that can be easily adapted to any physics experiment. RTEMS and Linux are both ported to the module. The RCE has been used or is the baseline for several current and proposed experiments (LCLS, HPS, LSST, ATLAS-CSC, LBNE, DarkSide, ILC-SiD, etc).

43 PARTICLE ACCELERATORS↗
DOE OSTI2020

Sensors of world’s largest digital camera snap first 3,200-megapixel images at SLAC

Vera C. Rubin Observatory will conduct the 10-year Legacy Survey of Space and Time (LSST), which will collect 60 petabytes of data to address some of the most pressing questions about the structure and evolution of the universe and the objects in it. LSST is designed to address four science areas: Understanding Dark Matter and Dark Energy Hazardous Asteroids and the Remote Solar System The Transient Optical Sky The Formation and Structure of the Milky Way Vera C. Rubin Observatory is a federal project jointly funded by the National Science Foundation and the Department of Energy Office of Science, with early construction funding received from private donations through the LSST Corporation. The NSF-funded LSST (now Rubin Observatory) Project Office for construction was established as an operating center under the management of the Association of Universities for Research in Astronomy (AURA). The DOE-funded effort to build the Rubin Observatory LSST Camera (LSSTCam) is managed by SLAC.

79 ASTRONOMY AND ASTROPHYSICS↗
DOE OSTI2026

slac-epics/devLinuxAdc

EPICS device support for ADCs using the Linux industrial IO (IIO) subsystem

Lorelli, Jeremy [SLAC National Accelerator Laborat↗
DOE OSTI2024

Real‐time XFEL data analysis at SLAC and NERSC: A trial run of nascent exascale experimental data analysis

X‐ray scattering experiments using free electron lasers (XFELs) are a powerful tool to determine the molecular structure and function of unknown samples (such as COVID‐19 viral proteins). XFEL experiments are a challenge to computing in two ways: (i) due to the high cost of running XFELs, a fast turnaround time from data acquisition to data analysis is essential to make informed decisions on experimental protocols; (ii) data‐collection rates are growing exponentially, requiring new scalable algorithms. Here we report our experiences analyzing data from two experiments at the Linac Coherent Light Source (LCLS) during September 2020. Raw data were analyzed on NERSC's Cori XC40 system, using the Superfacility paradigm: our workflow automatically moves raw data between LCLS and NERSC, where it is analyzed using the software package CCTBX. We achieved real time data analysis with a turnaround time from data acquisition to full molecular reconstruction in as little as 10 min—sufficient time for the experiment's operators to make informed decisions. By hosting the data analysis on Cori, and by automating LCLS‐NERSC interoperability, we achieved a data analysis rate which matches the data acquisition rate. Completing data analysis within 10 min is a first for XFEL experiments and an important milestone if we are to keep up with data‐collection trends.

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND ↗