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Estimating BLM signals from simulations. Erik Branger 8 jul 2013. Simulations. Previously estimated secondary particle shower at detector locations Variety of energies , angles , locations simulated Scoring of MIPs and electron fluences for estimating detector response.
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Estimating BLM signals from simulations Erik Branger 8jul 2013
Simulations • Previously estimated secondaryparticle shower at detectorlocations • Varietyofenergies, angles, locationssimulated • ScoringofMIPs and electronfluences for estimatingdetectorresponse
Simulations Valuesare per primary(per lostelectron)
ACEM sensitivity • Litterature gives sensitivity in dose and MIP fluence • Rescaleto 11.3 cm², -500 V gives gainof • Data sheet and calibration gives one or two orders ofmagnitudelowersensitivity…
PEP-II sensitivity • Litterature gives sensitivity in dose and MIP fluence • Rescaleto 1 cm³ activevolume • -500 V gives a gainof • Collection and detectionefficiencies given to 80% and 30%
Diamond sensitivity • Calculated from electron/holesgenerated by passingMIPs • Rescaletodetectorsize, 300 V, pCVDefficiency
Fiber sensitivity • Many steps betweengeneratedphotons and signal: • Coupler • 50 and 75 meter fiber to exit the hall • Spacer at box • MPPC detectionefficiency for Cherenkovlight • MPPC conversionofphotontocurrentpulse • Box currenttovoltageconverter, voltage division.
Detectorsensitivity • Combiningsensitivitywithsimulated showers:
Measured signals • Integrate the measured signal toobtain total charge
Measured signals • With 150 nsbunchtrainfor the data. • Combinewithresponse and simulated shower to get amountofbeamlost • Alsoadjustfluence (given per cm²) for detectorsize.
Conclusions • All localizeddetectorsgivesimilarresults (within a factor 10 ofeachother) • Loss based on electronfluenceshould be mostaccurate, and arewithin a factor 3 ofeachother • Cherenkov fiber is a bit low • All valuesconsistentwith BPM (losses < 1 A)