Best in Class
This newsletter is brought to you by:
- Mine Altunay
- Ken Herner
- Bo Jayatilaka
- Mike Kirby
- Katherine Lato
- Tanya Levshina
- Anna Mazzacane
- Kevin Retzke
- Brian P. Yanny
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The MicroBooNE collaboration operates a 170 ton Liquid Argon Time Projection Chamber (LAr TPC) located on the Booster neutrino beam line at Fermilab. The experiment first started collecting neutrino data in October 2015. MicroBooNE measures low-energy neutrino cross sections and investigates the low-energy excess observed by the MiniBooNE experiment. The detector also serves as a next step in a phased program towards the construction of massive kiloton scale LAr TPC detectors for future long-baseline neutrino physics (DUNE) and is the first detector in the short-baseline neutrino program at Fermilab.
Carefully tailoring your resource requests will increase your job throughput
With partitionable slots now the norm on GPGrid, it’s important to have a good understanding of resource requirements. The memory, disk, and maximum runtime available in free job slots changes as users submit jobs. As a result, there may be free slots that have ...
MINERvA has been using offline production from OPOS for over a year. The following picture shows almost 200,000 jobs from MINERvA between June and December of 2015. (Note: DUNE’s part of the graph only covers December since they started until OPOS on November 30, 2015.)
The Dark Energy Survey (DES) is in its third year of gathering multi-colored digital images of large swaths of deep space with the 4m diameter mirror of the Blanco telescope on a mountaintop in Chile. The team of physicists, astrophysicists, engineers, computer professionals, technicians and managers who operate the survey are participants in a around-the-clock ...
FIFE provides collaborative scientific-data processing solutions for Frontier Experiments.
FIFE takes the collective experience from current and past experiments to provide options for designing offline computing for experiments. It is not a mandate from Scientific Computing Division about how an experiment should or should not design their offline computing. FIFE is modular so experiments can take what they need, and new tools from outside communities can be incorporated as they develop.
Please click HERE for detailed documentation on the FIFE services and tools.