Vardan Gyurjyan

Jefferson Lab Data Acquisition Run Control System

A general overview of the Jefferson Lab data acquisition run control system is presented. This run control system is designed to operate the configuration, control, and monitoring of all Jefferson Lab experiments. It controls data-taking activities by coordinating the operation of DAQ sub-systems, online software components and third-party software such as external slow control systems. The main, unique feature which sets this system apart from conventional systems is its incorporation of intelligent agent concepts. Intelligent agents are autonomous programs which interact with each other through certain protocols on a peer-to-peer level. In this case, the protocols and standards used come from the domain-independent Foundation for Intelligent Physical Agents (FIPA), and the implementation used is the Java Agent Development Framework (JADE). A lightweight, XML/RDF-based language was developed to standardize the description of the run control system for configuration purposes.

Real-time performance of commercial Intel-based VME Controllers for the CODA data acquisition system

We have evaluated the performance of several Intel-based VME Controllers for the use in the data acquisition systems (DAQs) at Jefferson Lab. For the 12 GeV upgrade, PPC-based VME controllers running vxWorks will be replaced with those that are Intel-based running Linux. Their task will be facilitated by the use of FPGAs on the VME modules to perform trigger logic and communicating trigger information over serial and fiber connections through the DAQ. The need for a hard realtime operating system on the VME controller is removed from the equation as the readout of the digitized data from the VME modules (using VME-2eSST) is done in a threaded environment with multiple CPU cores while digitization takes place in the buffered, pipelined system. In this paper we briefly discuss a bench setup for evaluating a VME Controller and its kernel and user space environment. We present results from baseline testing of various models from different vendors using different Linux kernels, including results from a kernel compiled with the CONFIG_PREEMPT_RT patch.

Electroproduction of p{pi}{sup +}{pi}{sup -} off protons at 0.2<Q{sup 2}<0.6 GeV{sup 2} and 1.3<W<1.57 GeV with the CLAS detector

This paper reports on the most comprehensive data set obtained on differential and fully integrated cross sections for the process

Electroexcitation of the Roper resonance for 1.7<Q{sup 2}<4.5 GeV{sup 2} in e-vectorp{yields}en{pi}{sup +}

e p to e p pi^{+} pi^{-}

cMsg - A general purpose, publish-subscribe, interprocess communication implementation and framework

. The data were collected with the CLAS detector at Jefferson Laboratory. Measurements were carried out in the so-far unexplored kinematic region of photon virtuality 0.2

Cascade production in the reactions {gamma}p{yields}K{sup +}K{sup +}(X) and {gamma}p{yields}K{sup +}K{sup +}{pi}{sup -}(X)

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ClaRA: The CLAS12 Reconstruction and Analysis framework

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Ratios of {sup 15}N/{sup 12}C and {sup 4}He/{sup 12}C inclusive electroproduction cross sections in the nucleon resonance region

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