1. Technische Universität München Status report on SADC feature extraction

2. Technische Universität München Outline Feature extraction fitting pulses –General idea –Parameter sets –Implementation AC noise suppression Performance (comp. to std. alg.) –Energy spectrum for e - calibration – 0 mass spectrum Conclusion

3. Technische Universität München Feature extraction using functional parameterization Describe pulses by analytic function (Silicon, J. Friedrich) Fix function parameters (calibration) Fit/Calculation of time and amplitude

4. Technische Universität München Typical pulse and its description

5. Technische Universität München Result of fit (first parameter) Using three parameter sets for ECAL02 Parameter sets depend on shaper not on cell type!!

6. Technische Universität München Signals on two different channels Analytic calculation of function variables due to large amplitude error not desirable

7. Technische Universität München AC coupling

8. Technische Universität München AC Coupling suppression (ACS) AC coupling signals have amplitude independent length Remove all signals with a half-width 5 Problems for small signal introduce threshold to apply cut

9. Technische Universität München 40 GeV e - Beam – ECAL calibration (std: green, pf: red)

10. Technische Universität München 40 GeV e - Beam – ECAL calibration (std: green, pf: red)

11. Technische Universität München 40 GeV e - Beam – ECAL calibration (std: green, pf+acs: blue)

12. Technische Universität München M( 0 ) (PulseFit & AC suppresion) VS std. FE slightly improved energy resolution (~ 4%) slightly improved signal to bg ratio ~ (0.2%) reduced signal integral (~ 8%)

13. Technische Universität München Deeper analysis: Feature of shower reconstruction (instable against small changes ) M( 0 ) PulseFit VS std. FE increased signal integral (~ 4%) decreased energy resolution (~ 50%) decreased signal to bg ratio (~ 20%)

14. Technische Universität München Conclusion Alternative method for feature extraction available Electron beam performance (without calibration adaption) promising Reconstruction problems for 0 observed Improvement by adaption of shower reconstruction possible? Increased CPU usage (for physics runs 20% of total runtime) Fine tuning needed (dep. on shower reconstruction) For the moment std. reconstruction is the preferable option!!!

15. Technische Universität München Thank you.