The ATLAS Trigger & Data Acquisition System in Run-2
Catrin Bernius
New York University US LHC Users Association Meeting Fermilab, Chicago
10.-13. November 2015
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The ATLAS Trigger & Data Acquisition System in Run-2 Catrin - - PowerPoint PPT Presentation
The ATLAS Trigger & Data Acquisition System in Run-2 Catrin Bernius New York University US LHC Users Association Meeting Fermilab, Chicago 10.-13. November 2015 1 From Run-1 to Run-2 The ATLAS trigger system operated successfully in Run-1
New York University US LHC Users Association Meeting Fermilab, Chicago
10.-13. November 2015
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Catrin Bernius, NYU
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The ATLAS trigger system operated successfully in Run-1
range of physics processes in ATLAS In Run-2, trigger rates are expected to increase by a factor of ~5 with the Run-1 trigger system:
Therefore, additional event rejection is needed via:
software
→ Improvements & Upgrades to the TDAQ system and
software necessary to help reduce the trigger rates to acceptable levels while maintaining or even improving selection efficiencies in the challenging conditions!!
Plots taken from https://twiki.cern.ch/twiki/bin/view/ AtlasPublic/TriggerPublicResults
Catrin Bernius, NYU
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Data Acquisition System:
information from front end electronics from detector to build individual events
sent to permanent storage
configuration and monitoring
Trigger
calorimeter and muon information, rate reduction from ~ 30 MHz to 100 kHz
from 100kHz to 1 kHz (1.5 kHz peak)
Catrin Bernius, NYU
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FE: Front End ROD: Read Out Device HW: HardWare DC: Data Collector RoI: Region of Interest BE: Back End ROS: ReadOut System EB: Event Builder SFO: SubFarm Output MUCTPI: Muon to Central Trigger Processor Interface TTC: Timing, Trigger Control CPM: Cluster Processor Module CMX: Common Merger eXtended Module CTP: Central Trigger Processor TP: Topological Processor nMCM: new Multi Chip Module PPM: Pre-Processor Module JEM: Jet Energy sum Module TCG: Thin Gap Chambers
Catrin Bernius, NYU
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FE: Front End ROD: Read Out Device HW: HardWare DC: Data Collector RoI: Region of Interest BE: Back End ROS: ReadOut System EB: Event Builder SFO: SubFarm Output MUCTPI: Muon to Central Trigger Processor Interface TTC: Timing, Trigger Control CPM: Cluster Processor Module CMX: Common Merger eXtended Module CTP: Central Trigger Processor TP: Topological Processor nMCM: new Multi Chip Module PPM: Pre-Processor Module JEM: Jet Energy sum Module TCG: Thin Gap Chambers
Rate reductions
improved noise filters → significant reduction in L1 ETmiss rates
toroid and extended barrel region of Tile calorimeter → ~50% rate reduction for L1 muons with pT > 20 GeV at 25 ns
Catrin Bernius, NYU
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FE: Front End ROD: Read Out Device HW: HardWare DC: Data Collector RoI: Region of Interest BE: Back End ROS: ReadOut System EB: Event Builder SFO: SubFarm Output MUCTPI: Muon to Central Trigger Processor Interface TTC: Timing, Trigger Control CPM: Cluster Processor Module CMX: Common Merger eXtended Module CTP: Central Trigger Processor TP: Topological Processor nMCM: new Multi Chip Module PPM: Pre-Processor Module JEM: Jet Energy sum Module TCG: Thin Gap Chambers
L1 Topological Trigger
→ Low thresholds for multi-object final states possible
Catrin Bernius, NYU
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Followed by an overall very successful data-taking period for the ATLAS Trigger System!
Catrin Bernius, NYU
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identification step
with no efficiency loss
chambers in endcaps → factor ~2 resolution improvement
correction
Plots taken from https:// twiki.cern.ch/twiki/bin/view/ AtlasPublic/ TriggerPublicResults
Catrin Bernius, NYU
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granularity used in Run-1)
noise suppression
suppression (pileup subtraction in rings of pseudo- rapidity (topocIPS), fit-based pileup correction (topocIPUC))
followed by full track reconstruction and a BDT-based selection using 13 pile-up corrected variables (calorimeter and tracking information)
requirements between L1 objects (in commissioning)
Plots taken from https:// twiki.cern.ch/twiki/bin/view/ AtlasPublic/ TriggerPublicResults
Catrin Bernius, NYU
10
granularity used in Run-1)
noise suppression
suppression (pileup subtraction in rings of pseudo- rapidity (topocIPS), fit-based pileup correction (topocIPUC))
followed by full track reconstruction and a BDT-based selection using 13 pile-up corrected variables (calorimeter and tracking information)
requirements between L1 objects (in commissioning)