1. Update on the project - selected topics - Valeria Bartsch, Martin Postranecky, Matthew Warren, Matthew Wing University College London CALICE a calorimeter for the linear collider experiment

2. PFAs and Calorimetry Particles in jets Fraction of energy Measured with Resolution [  2 ] Charged65 %TrackerNegligible Photons25 %ECAL with 15%/√E0.07 2 E jet Neutral Hadrons 10 %ECAL + HCAL with 50%/√E 0.16 2 E jet Confusion≤ 0.04 2 (goal) 18%/√E To minimize the confusion term => maximize segmentation of the calorimeter readout O(<1 cm 2 ) in the calorimeter => O(10 7 – 10 8 ) channels for entire ILC calorimeter Particle Flow Algorithms improve energy resolution compared to calorimeter measurement alone (see ALEPH, CDF, ZEUS…) The real challenge

3. Technical prototypes Various technologies Can be only partially equipped Appropriate shapes (wedges) for ILC detectors All bells and whistles (cooling, integrated supplies…) Detailed test program in particle beams Goals of the Collaboration To provide a basis for choosing a calorimeter technology for the ILC detectors To measure electromagnetic and hadronic showers with unprecedented granularity To design, build and test ILC calorimeter prototypes To advance calorimeter technologies and our understanding of calorimetry in general Physics prototypes Various technologies (silicon, scintillator, gas) Large cubes (1 m 3 HCALs) Not necessarily optimized for an ILC calorimeter Detailed test program in particle beams

4. CALICE physics testbeam starts to probe PFAs with data checks that we have understood the test beam setup and the prototype calo nearly finished (2papers out, mine to come) CALICE is beginning to check validity of PFAs CALICE checks validity of GEANT4 hadronic models with unprecedented resolution in x and y still stuck with log. e- profile

5. ILC Calorimetry will use particle flow algorithms to improve energy resolution => 0.5cmx0.5cm segmentation results in 100M channels with little room for electronics or cooling Bunch structure interesting: –~200ms gaps between bunch-trains –Trains 1ms long, 300ns bunch spacing Triggerless => ~250 GB of raw data per bunch train need to be handled Time structure of bunches Trains of bunches Individual bunches ILC Calorimeter: constraints on DAQ “Final” Detector ECAL HCAL 1 st ECAL Module (module 0) ECAL Prototype

6. DAQ system Detector slab with very front end electronics Dataflow Detector interface boards Data aggregator Clock and Control data Control room

7. DAQ system Detector slab with very front end electronics Dataflow Detector interface boards Data aggregator Clock and Control data Control room

8. OFF DETECTOR RECEIVER PCI express card put into a PC firmware custom implemented receives data from detector, handles it and stores it DAQ SOFTWARE handles configuration and device database keeps track of file storage handles errors & alarms start / end runs …

9. Overview over the task - DOOCS software - hardware User Interface Program Interface Middle Layer Hardware interface http://tesla.desy.de/doocs/doocs.html

10. Overview over the hardware interface to the Control Room PC ODR Control Interface Sockets DOOCS device server ENS naming service RPC GUIs RPC store to disk ODR DAQ PC Control Room PC communication between different parts of DOOCS by RPCs configuration files used to find different parts of the system

11. Clock and Configuration sends the clock out makes sure everything is in sync for new bunchtrain several debugging and testing modes

12. integrate single devices to a test system: build a small scale demonstrator within the EUDET project find new applications to the generic DAQ system Further developments within CALICE Slab with VFE

14. Merry Christmas & a happy new year 2009