E906/Drell-Yan: Monte Carlo, Data Acquisition and Data Analysis Paul E. Reimer Expected Rates and Monte Carlo (WBS 2.5.1) Data Acquisition (WBS 2.4) –CODA.

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Presentation transcript:

E906/Drell-Yan: Monte Carlo, Data Acquisition and Data Analysis Paul E. Reimer Expected Rates and Monte Carlo (WBS 2.5.1) Data Acquisition (WBS 2.4) –CODA –Latched data –TDC data Data Analysis (WBS 2.5.2)

2 11 December 2006E906/Drell-Yan Review: Data Acquisition and Analysis Data Sources 256 Hodoscopes—bit latches MWPC 5500 Channels bit latches Station 2 & 3 Drift Chambers 1700 Channels Multi-hit TDC’s Station 4 Prop Tubes 400 Channels Bit latches

3 11 December 2006E906/Drell-Yan Review: Data Acquisition and Analysis Data Acquisition Framework: CODA WBS The CODA (CEBAF Online Data Acquisition) software frame work will be used for Data Acquisition Take from D. Abbot, CODA Users Workshop 2004

4 11 December 2006E906/Drell-Yan Review: Data Acquisition and Analysis DAQ: Latch Electronics Station 1 MWPC, Station 4 Prop. Tubes and Hodoscope readout Readout will be based on the Nevis system Equipment recovered from E866/NuSea and E871/HyperCP (approx. 20k ch. ) DetectorChannel Count TrackingStation 1 MWPC 5500 Station 4 Prop. Tubes 400 HodoscopesAll Stations256 Total6156 –Ansley delay cables –Coincidence Registers (CR) –Encoder board (ENC) and –FIFO cards Rate will not be a problem— HyperCP had 20k channels and a trigger rate of 75 kHz—deadtime of approx. 3  s From Y.C. Chen et al. NIM A 455 (2000) 424

5 11 December 2006E906/Drell-Yan Review: Data Acquisition and Analysis DAQ: Multi Hit TDC WBS 2.4.2, Station 2 and 3 drift chambers readout via multi-hit TDC (1700 channels plus spares) Fermilab Prep has sufficient channels of LeCroy 3377 FERA TDC Dead time of 1.8  s  s/hit Fermilab PREP recommends testing these modules prior to experiment and has offered to supply test procedures and setup. E906 will supply labor FERA readout options under exploration –LeCroy 1190 FERA to VME memory interface –Struck SIS bit ECL input FIFO (VME module) –Fermilab DYC3 FERA to RS485 interface

6 11 December 2006E906/Drell-Yan Review: Data Acquisition and Analysis Data Storage Total data set for 5.2 £ protons is approximately 4 TB (1 kHz/2 £ protons £ 1.5 kB event size) Temporarily store data locally on disk Background spool data to Feynman Computing Center for long term storage (discussed with Fermilab CD) –Sustained data rate of 125 kB/s (easily within network capacity)

7 11 December 2006E906/Drell-Yan Review: Data Acquisition and Analysis Analysis Software WBS Modification of existing E866 analysis codes –Track recognition, trace back and energy loss algorithms are identical –E866 code already ported to Fermilab computing farms—probably not necessary. –New event decoding routines needed Computing requirements –Minimal—E866 event analysis rate was approx. 20 ms/event on vintage 1997 HP PA GHz –Scale to today: Should be able to do real time analysis of all data on small cluster (1 to 4) Linux-based PC’s –We do not anticipate heavy demand on computing resources

8 11 December 2006E906/Drell-Yan Review: Data Acquisition and Analysis Monte Carlo simulations GEANT-Based Monte Carlo –Simulation of detector through end of 1 st magnet –Used for configuration of hadron absorber within aperture of 1 st magnet and particle rates at Station 1 –Extend simulation to entire spectrometer for data analysis (WBS Abilene, Los Alamos, Argonne) FastMC –Modified version of E866/E772 “fast” Monte Carlo Code to include E906 geometry. –Only traces muons from Drell-Yan events, and the decays of J/ ,  0, ,  0,  00, D (D-bar)  and K decays. –Magnetic field is simplified, but muon energy loss and multiple scattering are included. –Verified with E866 rate and resolution comparisons full GEANT simulation of target, beam dump and absorber

9 11 December 2006E906/Drell-Yan Review: Data Acquisition and Analysis Conclusions DAQ –CODA framework from JLab –Latched readout via Nevis electronics –Drift Chambers via LeCroy 3377 TDC Data Analysis –Code is straight forward modification of E866 Analysis –Data storage requirements are “small” –CPU requirements are small