001548208 001__ 1548208
001548208 003__ SzGeCERN
001548208 005__ 20220810222014.0
001548208 0247_ $$2DOI$$a10.1088/1748-0221/8/06/P06001
001548208 0248_ $$aoai:cds.cern.ch:1548208$$pcerncds:FULLTEXT$$pcerncds:CERN:FULLTEXT$$pcerncds:CERN
001548208 035__ $$9arXiv$$aoai:arXiv.org:1305.4592
001548208 035__ $$9Inspire$$a1234237
001548208 037__ $$9arXiv$$aarXiv:1305.4592$$cphysics.ins-det
001548208 041__ $$aeng
001548208 100__ $$aAnderlini, L.$$iINSPIRE-00357120$$uINFN, Florence
001548208 245__ $$aA new method based on noise counting to monitor the frontend electronics of the LHCb muon detector
001548208 269__ $$c20 May 2013
001548208 260__ $$c2013
001548208 300__ $$a15 p
001548208 520__ $$aA new method has been developed to check the correct behaviour of the frontend electronics of the LHCb muon detector. This method is based on the measurement of the electronic noise rate at different thresholds of the frontend discriminator. The method was used to choose the optimal discriminator thresholds. A procedure based on this method was implemented in the detector control system and allowed the detection of a small percentage of frontend channels which had deteriorated. A Monte Carlo simulation has been performed to check the validity of the method.
001548208 520__ $$9IOP$$aA new method has been developed to check the correctbehaviour of the frontend electronics of the LHCb muon detector.This method is based on the measurement of the electronic noise rateat different thresholds of the front-end discriminator. The methodwas used to choose the optimal discriminator thresholds. Aprocedure based on this method was implemented in the detectorcontrol system and allowed the detection of a small percentage offront-end channels which had deteriorated. A Monte Carlo simulationhas been performed to check the validity of the method.
001548208 520__ $$9arXiv$$aA new method has been developed to check the correct behaviour of the frontend electronics of the LHCb muon detector. This method is based on the measurement of the electronic noise rate at different thresholds of the frontend discriminator. The method was used to choose the optimal discriminator thresholds. A procedure based on this method was implemented in the detector control system and allowed the detection of a small percentage of frontend channels which had deteriorated. A Monte Carlo simulation has been performed to check the validity of the method.
001548208 540__ $$3publication$$aCC-BY-3.0
001548208 542__ $$3publication$$dCERN$$g2013
001548208 595__ $$aINSPIRE-PUBL-2013
001548208 65017 $$2arXiv$$aDetectors and Experimental Techniques
001548208 65027 $$2arXiv$$aParticle Physics - Experiment
001548208 693__ $$aLHCb$$aCERN LHC
001548208 693__ $$aCERN LHC$$eLHCb
001548208 695__ $$9LANL EDS$$aphysics.ins-det
001548208 695__ $$9LANL EDS$$ahep-ex
001548208 690C_ $$aARTICLE
001548208 690C_ $$aCERN
001548208 700__ $$aAntunes Nobrega, R.$$iINSPIRE-00258635$$uINFN, Rome
001548208 700__ $$aBonivento, W.$$iINSPIRE-00258110$$uINFN, Cagliari
001548208 700__ $$aGruber, L.$$iINSPIRE-00296124$$uCERN
001548208 700__ $$aKashchuk, A.$$iINSPIRE-00259213$$uSt. Petersburg, INP
001548208 700__ $$aLevitskaya, O.$$iINSPIRE-00296138$$uSt. Petersburg, INP
001548208 700__ $$aMaev, O.$$iINSPIRE-00259220$$uSt. Petersburg, INP
001548208 700__ $$aMartellotti, G.$$iINSPIRE-00258664$$uINFN, Rome
001548208 700__ $$aPenso, G.$$iINSPIRE-00226158$$uINFN, Rome$$uU. Rome La Sapienza (main)
001548208 700__ $$aPinci, D.$$iINSPIRE-00258670$$uINFN, Rome
001548208 700__ $$aSarti, A.$$iINSPIRE-00028229$$uU. Rome La Sapienza (main)$$uFrascati
001548208 700__ $$aSchmidt, B.$$iINSPIRE-00260343$$uCERN
001548208 773__ $$cP06001$$pJINST$$v8$$y2013
001548208 8564_ $$uhttp://arxiv.org/pdf/1305.4592.pdf$$yPreprint
001548208 8564_ $$82232117$$s17909$$uhttps://cds.cern.ch/record/1548208/files/figure_Cdet.png$$y00009 Dependence: a) of the bias voltage ($V_b$) and b) of the ENC, on the detector capacitance. Open (full) points refer to cathode (anode) readout. The error bars represent the r.m.s. of the distributions.
001548208 8564_ $$82232118$$s17773$$uhttps://cds.cern.ch/record/1548208/files/figure_sigmaR.png$$y00005 a) Counting rate of the discriminator as a function of its threshold. b) Same as in a) but presented with logarithmic-quadratic scales.
001548208 8564_ $$82232119$$s26229$$uhttps://cds.cern.ch/record/1548208/files/figure_discriminator2.png$$y00002 a): Noise counting rate of an ideal discriminator as a function of its threshold (continuous curve). With the CARIOCA discriminator the threshold values comprised in the shaded area cannot be set and the rate at zero threshold ($R_0$) cannot be measured. In the upper scale the DAC registers which set the thresholds are schematically reported. b): Typical experimental curve representing the noise counting rate of a CARIOCA discriminator as a function of the DAC registers.
001548208 8564_ $$82232120$$s31027$$uhttps://cds.cern.ch/record/1548208/files/figure_scatter_09-12.png$$y00011 a): Scatter plot of the ENC values measured on all the muon detector in the years 2009 and 2012. The channels which are far from the plot bisector were checked and repaired or replaced. Most of the points in the series indicated by an arrow correspond to CARIOCAs mounted on the same boards which were replaced. b): Distribution of the difference between the ENC measured in 2012 and 2009.
001548208 8564_ $$82232121$$s44099$$uhttps://cds.cern.ch/record/1548208/files/figure_signal.png$$y00003 a): A typical simulated noise signal. The points are the values calculated every 3 ns. b): Discrete Fourier transform of 10$^6$ consecutive noise values, corresponding to a time interval of 3~ms. The DFT values have been averaged on 0.7 MHz bins.
001548208 8564_ $$82232122$$s15798$$uhttps://cds.cern.ch/record/1548208/files/figure_sigmaV.png$$y00004 a): Distribution of the $2 \times 10^8$ values of the noise amplitude $V/A$ (equation~\protect \ref{sum}). In figure b) the same distribution is reported with logarithmic-quadratic scales.
001548208 8564_ $$82232123$$s51995$$uhttps://cds.cern.ch/record/1548208/files/figure_crosstime2.png$$y00006 Monte Carlo predictions for the distribution of the time intervals between two consecutive threshold crossing, for four different threshold values. The dashed curves represent the same distributions if the crossing times were completely uncorrelated.
001548208 8564_ $$82232124$$s9781$$uhttps://cds.cern.ch/record/1548208/files/figure_discriminator1.png$$y00001 Dependence of the threshold ($V_{thr}$) of the CARIOCA discriminator around zero on the DAC register units ($r.u.$).
001548208 8564_ $$82232125$$s28279$$uhttps://cds.cern.ch/record/1548208/files/figure_bias_enc2_M3R3_M5R4.png$$y00008 Distribution of: a) the bias voltage; b) the ENC measured for of all the reaudout channels of the region M3R3. c) and d): same as a) and b) for the readout channels belonging to region M5R4. \vspace*{5truemm}
001548208 8564_ $$82232126$$s11296$$uhttps://cds.cern.ch/record/1548208/files/figure_noisy.png$$y00012 Experimental threshold scanning for: a) a properly behaving front-end channel; b) a malfunctioning channel with an abnormal noise.
001548208 8564_ $$82232127$$s21249$$uhttps://cds.cern.ch/record/1548208/files/figure_amplifier.png$$y00000 a): Measured sensitivity of the amplifier. b): Measured gain $G$ of the amplifer for a sinusoidal signal as function of frequency~$f$. The curves are normalized to their maximum value. The rectangular approximation to the frequency spectrum of the amplifier gain, as used in the MC simulation, is indicated with the 3dB limits at 20 and 50 MHz. The lines are to guide the eye. In both figures the open (full) points refer to negative (positive) input polarity.
001548208 8564_ $$82232128$$s531420$$uhttps://cds.cern.ch/record/1548208/files/arXiv:1305.4592.pdf$$yPreprint
001548208 8564_ $$82232129$$s36973$$uhttps://cds.cern.ch/record/1548208/files/figure_exp_sigma2.png$$y00007 a): Experimental threshold scan of a readout channel of region M3R3. In b) the right-arm of this distribution is represented with logarithmac-quadratics scales. The open point at zero threshold is the counting rate predicted by Rice theory and by the MC. The straight line is the best fit to the points (see text). c) and d): same as a) and b) for a readout channel belonging to region M5R4. The larger detector capacitance ($C_{det}$) results in a larger $\sigma$.
001548208 916__ $$sn$$w201320$$ya2013
001548208 960__ $$a13
001548208 980__ $$aARTICLE