1. ATLAS Liquid Argon Calorimeter Monitoring & Data Quality Jessica Levêque Centre de Physique des Particules de Marseille ATLAS Liquid Argon Calorimeter Group NEC, Varna, Bulgaria 7-11 th September 2009

2. Jessica Levêque Varna - September 20092 Introduction: about ATLAS data Raw data in ATLAS: 1.6 MByte per event Acquisition rate: 200 Hz 1 day = 2 runs = 2*10 hours of data  ~23 TBytes per day Disk Buffer at Tier 0: 610 TBytes After migration of data on tape: 200 Hz readout rate Consequences: Delay between data acquisition and data reconstruction should be less than 5 days Very efficient monitoring and Data Quality feedback loops are required

3. Jessica Levêque Varna - September 20093 ATLAS Data Processing Model

4. Jessica Levêque Varna - September 20094 The Liquid Argon Calorimeters ~ 182 000 readout channels - Sampling Calorimeter - Active Medium : LAr - Absorber: lead in EM, copper in HEC, copper & tungsten in FCAL

5. Jessica Levêque Varna - September 20095 LAr Calorimeter Electronic

6. Jessica Levêque Varna - September 20096 LAr Calorimeter Monitoring Detector Control System: To monitor variations of liquid argon purity, temperature High voltage, cooling plant, power supplies Data Integrity: To monitor the electronic front-end boards, and the integrity of the readout data Signal Peak position To monitor the detector timing Misbehaving channels: to spot hot channels that might affect the physics objects reconstruction. Physics objects (electrons, photons, jets…) not a “detector task”, therefore not presented here.

7. Jessica Levêque Varna - September 20097 Validation of monitoring tools Extensive use of cosmics data: Experience daily detector operations Validation of the full data chain reconstruction Test and optimization of automatic data quality and monitoring tools In the following: a few examples of calorimeter monitoring during ATLAS cosmics runs

8. Jessica Levêque Varna - September 20098 Detector Control System Detector fully operational during last cosmic campaign Requirement for physics: detector coverage and behavior should be stable during a run (oa a luminosity block) Data Quality Flag assessment: warning when the detector states changes during the run.

9. Jessica Levêque Varna - September 20099 Online Computation Monitoring For all cells, the energy is computed online and sent to the central acquisition system. For high energy cells (typically above few GeV) the individual digits in ADC counts are also readout For these energetic cells, we recompute the energy offline from the digits and compare the result with the energy computed online The plot illustrates the perfect reliability over ~ 40 000 events. The 1 MeV tails are within the expected accuracy.

10. Jessica Levêque Varna - September 200910 Signal Timing Monitoring The digits are readout for each cell above a given threshold (typically above a few GeV) For these very energetic cells,we average the pulse shapes per detector region This allows to compare the timing between the different LAr detector parts This check is also very important for ATLAS, as the LAr calorimeter is the subdetector with the largest time window (32 time samples, i.e 800ns). The plot above is used to align the timing between different trigger sources.

11. Jessica Levêque Varna - September 200911 Noise monitoring For each calorimeter cell, the electronic noise is measured in random triggered events, and stored in a database The electronic noise is used as a reference to spot channels with deviant behavior during physics runs Monitoring individual noisy cells: number of events per cell, where the cell energy is above 3 times the expected noise Monitoring global detector noise: number of cells per event, with energy above 3 times the expected noise With perfectly gaussian noise, we expect 0.27% of events/cells passing the cut.

12. Jessica Levêque Varna - September 200912 Global Detector Noise example December 2007: O(10) events out of 3 000 in non-gaussian tails For these events, a large number of cells are fluctuating outside 3  at the same time Expected Value: 0.27%

13. Jessica Levêque Varna - September 200913 insulation HV cable 110m long Origin of the Global Noise Counting RoomDetector Cryostat 1-2 volts difference between cryostat ground and HV module ground degrading the filter box performances

14. Jessica Levêque Varna - September 200914 CAPACITOR one per cable HV cable 110m long Fixing the Problem Counting RoomDetector Cryostat improve the grounding between HV filter box and the cryostat by adding capacitive link.

15. Jessica Levêque Varna - September 200915 Global Detector Noise: current status The problem was fixed in January 2008 by adding a capacitive link between the HV filter box and the cryostat. Current Status: perfect gaussian behavior.

16. Jessica Levêque Varna - September 200916 Individual cell noise example October 2008 (blue line): large tails above 0.7%. This tail is populated by channels with unstable and noisy shapers, creating large noise pulses that triggered the event data taking. April 2009 (red line): the tails vanished after a major campaign of FEB refurbishment, replacing the faulty preamplifiers. Cosmic data triggered by a signal in LAr calorimeter Given the very low muon rate, physics signal does not bias the expected event rate (we still expect 0.27% of cells)

17. Jessica Levêque Varna - September 200917 Summary & Conclusions Conclusion: we are ready and waiting for beam ! Liquid Argon Monitoring and Data Quality developed and tested with cosmics data since 2006 Monitoring extensively used to commission the detector and provide meaningful information to others ATLAS subdetectors Liquid Argon detector fully operational and in a very good shape (99.8% channels active and calibrated)