J-PET analysis framework for the prototype TOF-PET detector

Novel TOF-PET scanner solutions demand, apart from the state of the art detectors, software for fast processing of the gathered data, monitoring of the whole scanner and reconstruction of the PET image. In this article we present an analysis framework for the novel STRIP-PET scanner developed by the J-PET collaboration in the Institute of Physics of the Jagiellonian University. This software is based on the ROOT package used in many particle physics experiments.Comment: 4 pages, 2 figure

Processing optimization with parallel computing for the J-PET tomography scanner

The Jagiellonian-PET (J-PET) collaboration is developing a prototype TOF-PET detector based on long polymer scintillators. This novel approach exploits the excellent time properties of the plastic scintillators, which permit very precise time measurements. The very fast, FPGA-based front-end electronics and the data acquisition system, as well as, low- and high-level reconstruction algorithms were specially developed to be used with the J-PET scanner. The TOF-PET data processing and reconstruction are time and resource demanding operations, especially in case of a large acceptance detector, which works in triggerless data acquisition mode. In this article, we discuss the parallel computing methods applied to optimize the data processing for the J-PET detector. We begin with general concepts of parallel computing and then we discuss several applications of those techniques in the J-PET data processing.Comment: 8 page

Analysis framework for the J-PET scanner

J-PET analysis framework is a flexible, lightweight, ROOT-based software package which provides the tools to develop reconstruction and calibration procedures for PET tomography. In this article we present the implementation of the full data-processing chain in the J-PET framework which is used for the data analysis of the J-PET tomography scanner. The Framework incorporates automated handling of PET setup parameters' database as well as high level tools for building data reconstruction procedures. Each of these components is briefly discussed.Comment: 6 pages, 1 figur

Analysis framework for the J-PET scanner

Abstract J-PET analysis framework is a flexible, lightweight, ROOT-based software package which provides the tools to develop reconstruction and calibration procedures for PET tomography. In this article we present the implementation of the full data-processing chain in the J-PET framework which is used for the data analysis of the J-PET tomography scanner. The Framework incorporates automated handling of PET setup parameters' database as well as high level tools for building data reconstruction procedures. Each of these components is briefly discussed

Rhetoric and the cultural trauma: An analysis of Jan T Gross’ book Fear. Anti-Semitism in Poland after Auschwitz

This study deals with the historian Jan T Gross’ book Fear, published in 2006 in the United States and in 2008 in Poland. The book deserves special attention because it became one of the most discussed historical works in post-Communist Poland. In Fear, just as in his previous book Neighbors (2000), Gross challenged the Poles’ view of themselves as solely innocent victims of German Nazism and argued that anti-Semitism could and did lead them to kill Jews, both during and after the war. The author of the article seeks to answer the question as to what made the Poles react so strongly to Fear. She argues that the reasons are not only to be found in the book’s message and the political context in which it appeared but also in the mode of historical representation applied by Gross. The specific rhetoric of Fear has been noted by its critics, but no one analysed it closely. This study intends to fill that gap. The present author’s thesis is that in Fear, Gross uses the rhetorical design of a deliberative speech, and by so doing, anchors his narrative in the present and demands future action by his readers. This combination of telling about past events and pointing to their present relevance makes his narrative performance very different from conventional historiography. The value of Gross’ work lies not primarily in his contribution to the body of existing knowledge but in its functionality and performativit