Jim Pivarski

Jim Pivarski
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Jim Pivarski
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Computer Science - Distributed; Parallel; and Cluster Computing (2)
 
High Energy Physics - Phenomenology (1)
 
Instrumentation and Methods for Astrophysics (1)

Publications Authored By Jim Pivarski

2017Mar
Affiliations: 1Fermi National Accelerator Laboratory, 2Fermi National Accelerator Laboratory, 3Princeton University, 4Fermi National Accelerator Laboratory, 5Fermi National Accelerator Laboratory, 6Princeton University, 7Fermi National Accelerator Laboratory, 8Fermi National Accelerator Laboratory now Johns Hopkins University, 9Princeton University, 10Fermi National Accelerator Laboratory

Experimental Particle Physics has been at the forefront of analyzing the worlds largest datasets for decades. The HEP community was the first to develop suitable software and computing tools for this task. In recent times, new toolkits and systems collectively called Big Data technologies have emerged to support the analysis of Petabyte and Exabyte datasets in industry. Read More

Project Matsu is a collaboration between the Open Commons Consortium and NASA focused on developing open source technology for the cloud-based processing of Earth satellite imagery. A particular focus is the development of applications for detecting fires and floods to help support natural disaster detection and relief. Project Matsu has developed an open source cloud-based infrastructure to process, analyze, and reanalyze large collections of hyperspectral satellite image data using OpenStack, Hadoop, MapReduce, Storm and related technologies. Read More

We explore the potential of the Large Hadron Collider to observe the h1 -> a1 a1 -> 4 muons signal from the lightest scalar Higgs boson (h1) decaying into the two lightest pseudoscalar Higgs bosons (a1), followed by their decays into four muons in the Next-to-Minimal Supersymmetric Standard Model (NMSSM). The signature under study applies to the region of the NMSSM parameter space in which m_a1 < 2 m_tau, which has not been studied previously. In such a scenario, the suggested strategy of searching for a four-muon signal with the appropriate background suppression would provide a powerful method to discover the lightest CP-even and CP-odd NMSSM Higgs bosons h1 and a1. Read More