A new VME trigger processor for the NA57 experiment

The ALICE experiment will use a trigger concept requiring independent deadtimes for each sub-detector system, and with detector-specific past-future protection. These features are implemented in a new VME-based trigger processor for the NA57 experiment. Monitoring and diagnostic features of the new trigger processor are also described.List of Figures Figure 1:ALICE trigger logic diagram. Figure 2:Layout of the NA57 experiment. Figure 3:Schematic layout of NA57 VME central trigger processor. Figure 4:Example of a trigger definition script. </A

Irradiation and SPS Beam Tests of the Alice1LHCb Pixel Chip

The Alice1LHCb front-end chip has been designed for the ALICE pixel and the LHCb RICH detectors. It is fabricated in a commercial 0.25 µm CMOS technology, with special design techniques to obtain radiation tolerance. The chip has been irradiated with low energy protons and heavy ions, to determine the cross-section for Single Event Upsets (SEU), and with X-rays to evaluate the sensitivity to total ionising dose. We report the results of those measurements. We also report preliminary results of measurements done with 150 GeV pions at the CERN SPS

Updated Design for the ALICE Central Trigger

The trigger and data acquisition systems in the ALICE experiment have undergone significant changes in the last year. Thisis (i) in response to the incorporation of new detectors, (ii) the result of the use of front-end buffering schemes in theALICE sub-detectors and (iii) because of new more pessimistic estimates of the data volume generated by the TimeProjection Chamber (TPC). In this report, we review the specification for the updated ALICE CentralTrigger and examinehow it might be implemented using currently available electronics components. The User Requirement Document and theTechnical Specification for this system are being discussed by the ALICE collaboration.(Abstract only available, full text to follow

LHC1: a semiconductor pixel detector readout chip with internal, tunable delay providing a binary pattern of selected events

The Omega3/LHCl pixel detector readout chip comprises a matrix of 128 X 16 readout cells of 50 mu m X 500 mu m and peripheral functions with 4 distinct modes of initialization and operation, together more than 800 000 transistors. Each cell contains a complete chain of amplifier, discriminator with adjustable threshold and fast-OR output, a globally adjustable delay with local fine-tuning, coincidence logic and memory. Every cell can be individually addressed for electrical test and masking, First results have been obtained from electrical tests of a chip without detector as well as from source measurements, The electronic noise without detector is similar to 100 e(-) rms. The lowest threshold setting is close to 2000 e(-) and non-uniformity has been measured to be better than 450 e(-) rms at 5000 e(-) threshold. A timewalk of < 10 ns and a precision of < 6 ns rms on a delay of 2 mu s have been measured. The results may be improved by further optimization

RNA motif search with data-driven element ordering

BACKGROUND: In this paper, we study the problem of RNA motif search in long genomic sequences. This approach uses a combination of sequence and structure constraints to uncover new distant homologs of known functional RNAs. The problem is NP-hard and is traditionally solved by backtracking algorithms. RESULTS: We have designed a new algorithm for RNA motif search and implemented a new motif search tool RNArobo. The tool enhances the RNAbob descriptor language, allowing insertions in helices, which enables better characterization of ribozymes and aptamers. A typical RNA motif consists of multiple elements and the running time of the algorithm is highly dependent on their ordering. By approaching the element ordering problem in a principled way, we demonstrate more than 100-fold speedup of the search for complex motifs compared to previously published tools. CONCLUSIONS: We have developed a new method for RNA motif search that allows for a significant speedup of the search of complex motifs that include pseudoknots. Such speed improvements are crucial at a time when the rate of DNA sequencing outpaces growth in computing. RNArobo is available at http://compbio.fmph.uniba.sk/rnarobo. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1074-x) contains supplementary material, which is available to authorized users