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Trigger & Data Acquisition for LHC Upgrades International Workshop on Future Hadron Colliders Fermilab October 16-18, 2003. Andrew J. Lankford University of California, Irvine. Acknowledgements. My presentation draws heavily upon:
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Trigger & Data Acquisitionfor LHC UpgradesInternational Workshop on Future Hadron CollidersFermilabOctober 16-18, 2003 Andrew J. Lankford University of California, Irvine
Acknowledgements • My presentation draws heavily upon: • Work performed by contributors to the preliminary studies reported in: Physics Potential and Experimental Challenges of the LHC Luminosity Upgrade (hep-ph/020487). • A recent presentation by Nick Ellis at Erice. Lankford – Trigger & Data Acquisition
SLHC: Implications of Higher Luminosity • Higher Luminosity => • Increased detector occupancy • Increased trigger rates • Increased radiation effects • Assumed SLHC luminosity = 1035 cm-2s-1 Lankford – Trigger & Data Acquisition
SLHC: Implications of Higher Luminosity - 2 • Higher Luminosity => Increased detector occupancy • Assuming 12.5 ns bunch spacing, • 125 interactions/crossing • Occupancy of tracks increases 5-fold (10-fold for some sub-detectors) • Radiation-induced hits increase 10-fold. • Pile-up noise increases 2.2-fold (3-fold for some sub-detectors) • Pile-up degrades performance of trigger algorithms • Reduction in efficiency of e/gamma isolation cuts • Increased muon candidate rates due to radiation-induced accidentals • Larger event size to read out • Increased by factor between 5 and 10 • Demands reduced trigger rate or increased data bandwidth Lankford – Trigger & Data Acquisition
SLHC: Implications of Higher Luminosity - 3 • Higher Luminosity => Increased trigger rates • Arising from: • Increased interaction rates • Occupancy/pile-up induced trigger degradation • Less rejection at fixed efficiency • Need more selective triggers for same trigger rate • Increased thresholds • More exclusive selection (less inclusive trigger) • Fortunately, more selective triggers are okay • (see later) • Need even more data acquisition bandwidth if higher trigger rate. Lankford – Trigger & Data Acquisition
SLHC: Implications of Higher Luminosity - 4 • Higher Luminosity => Increased radiation effects • Directly affects on-detector trigger logic • Mechanisms: • Permanent damage • Single-event-upset effects • (Note that radiation effects upon detectors and their electronics must be handled by trigger and by data acquisition.) Lankford – Trigger & Data Acquisition
Enabling Technologies • Enabling technologies for readout and trigger: • Integrated circuits • Custom ICs, FPGAs, memories, etc. • Commodity computing • processors, networking, memory, storage, fiberoptics • These technologies enabled current generation of expts. • Including the nearly-deadtimeless, integrated trigger and data acquisition systems that are now standard. • These technologies will also be the technologies that enable successful upgrades & future experiments. • R&D programs to develop these technologies for HEP applications were crucial to current generation of expts. • A vital R&D program will be crucial to SLHC upgrades. Lankford – Trigger & Data Acquisition
Data Transfer & Data Processing • Trigger & Data Acquisition systems provide: • Data transfer • Data processing • Limitations or costs of these functions define limitations and costs of Trigger/DAQ systems. • e.g. First Level Triggers(FLT) • Data input to FLT limits density of FLT electronics. • Causes extensive interconnections betw. modules and complex backplanes. • Needed to connect steps in FLT selection. • Needed to seamlessly find tracks and clusters in different sections of detector (to avoid loss of efficiency Lankford – Trigger & Data Acquisition
SLHC Trigger Menu • Need for 3 types of triggers foreseen: • Discovery physics • Very high-pT(thresholds as high as hundreds of GeV) • Completion of LHC physics program • e.g. precise measurements of Higgs sector • Lepton/photon/jet thresholds as low as for LHC • Final states known => exclusive selection possible • Control / Calibration triggers • e.g. W’s, Z’s, top • Low thresholds needed, but can be pre-scaled • None of the above pose rate problems. Lankford – Trigger & Data Acquisition
Inclusive Triggers: samples & rates Note that inclusive e/γ trigger dominates rate. (†Added degradation from pile-up not included above) Lankford – Trigger & Data Acquisition
FLT: Importance of FLT upgrades • Upgrades to First Level Trigger (FLT) are of central importance. • They can reduce new demands on: • Front-end electronics (FEE) • Retaining 100 kHz FLT rate avoids changes to FEE systems that do not require upgrade for other reasons. • Data Acquisition (DAQ) • By reducing new demands for data bandwidth. • High Level Triggers (HLT) • By reducing new demands for algorithms and processing • FLT upgrades deserve early consideration. Lankford – Trigger & Data Acquisition
FLT: New Demands on Processing • New demands on FLT processing posed by: • Increased event pile-up & occupancy • New sub-detectors or readout • 12.5 ns crossing period • Some (at least) new processing will be needed. Lankford – Trigger & Data Acquisition
FLT: Impact of 12.5 ns crossings • LHC FLTs: • pipelined processors • driven at 40 MHz LHC crossing rate • identify crossing of interest • Should SLHC FLTs run at 80 MHz Xing rate? • Can FLTs remain at 40 MHz ? • Can FLTs work at both 40 & 80 MHz ? Lankford – Trigger & Data Acquisition
FLT: Can SHLC FLTs operate at 40 MHz ? • Concept of readout ‘time frames’ • FLT identifies pair of crossings (or more) for read out • e.g. PEP II / BABAR • PEP II runs at 250 MHz (4 ns). • BABAR system clock = 60 MHz (16 ns). • L1T runs at multiples of 16 ns. • DAQ reads out time frames as large as few microsec, as appropriate to subdetector technology. • May not be possible for many FEE systems • Increases data volume on FEE links & through DAQ • Yes, SLHC FLTs could operate at 40 MHz, • But, 40MHz FLTs will generally suffer more from pile-up. Lankford – Trigger & Data Acquisition
FLT: Should SLHC FLTs operate at 80 MHz ? • Advantages: • Reduced pile-up effects • more effective algorithms • less data volume (for detectors that identify Xing during r/o) • Ability to identify crossing that caused trigger • Allows more processing steps within fixed latency • 80 MHz electronics feasible (Portions already at 80MHz.) • Disadvantages: • Requires FLT upgrades • Increased data bandwidth into & within FLT • FEE may not be able to deliver data to FLT at 80MHz • Study (cost/benefit) needed. Lankford – Trigger & Data Acquisition
FLT: Can SLHC FLTs operate at both 40 & 80 MHz ? • Portions of FLT could operate at 40 MHz while other portions operate at 80 MHz. • Note: Identification of 12.5 ns crossing can be derived from 40 MHz samples for calorimeters. • Time resolution of calorimeter pulses is much better than 25 ns. • Timing of pulses is derived by digital filtering of multiple samples. • Such a scheme already used in ATLAS CSCs w/ sampling at 20 MHz • Some such hybrid likely to be a good solution. Lankford – Trigger & Data Acquisition
High-Level Triggers & Data Acquisition • Commercial computing & networking technologies will provide the advances necessary for High Level Triggers (HLTs) and Data Acquisition (DAQ) systems to perform at SHLC rates. • e.g. Moore’s Law will provide x10 improvement in price:performance ratio wrt LHC start-up ~5 years after start-up. • e.g. Appetite for high-bandwidth graphical computing applications will drive networking capabilities up and costs down. • R&D is necessary to develop technology advances for HEP applications. • Data transfer: • Data links • HLT/DAQ networks • Data Sources / Readout Buffers • Data processing: • New HLT algorithms to maintain HLT selectivity with increased pile-up • “Complexity handling” Lankford – Trigger & Data Acquisition
Data Links • New challenges at SLHC for data links from Front-end Electronics to Trigger & DAQ • Higher bandwidths due to higher occupancies (& FLT rates?) • Radiation effects at transmitting end for some subdetectors, e.g. systems optimized for LHC • Also to increase input capabilities of FLTs • Limitations on data input often limit FLT capability. • R&D needed • Applications of commercial developments • Possible custom developments Lankford – Trigger & Data Acquisition
HLT/DAQ Networks • Networks connect HLT processors to data sources. CMS/Cittolin • Every processor connects to every source. • Data moves from sources to processors in parallel (“parallel event building”) to handle high trigger rates. Lankford – Trigger & Data Acquisition
HLT/DAQ Networks • Commercial networking equipment provides the infrastructure for interconnection (switches) and data transfer (links). • At present, the cost of this equipment determines how much data experiments can afford to move to HLT processors. • Thus, cost can limit trigger rate capability. • ATLAS has adopted an “RoI-based” Level 2 trigger in order to reduce overall data bandwidth requirements. • CMS has developed a scaleable event building architecture. • SLHC network bandwidth at least 5-10 times LHC b/w. • Even if SLHC FLTs can provide same rate as at LHC • Network bandwidth requirements grow with occupancy. Lankford – Trigger & Data Acquisition
HLT/DAQ Networks Complete HLT/DAQ systems require large networks. Individual network switches not yet of size required for full interconnectivity. Lankford – Trigger & Data Acquisition
HLT/DAQ Networks R&D • R&D should track evolution of network technology • Seek switches with requisite number of ports to avoid multiple switches & extra ports • Technical challenge to manufacture of switches with many high-speed ports is bandwidth capability of switch ‘fabric’ (backplane) that interconnects ports. • Switches from different vendors behave differently within HEP systems • Due to internal differences (e.g. buffer sizes) • R&D will sometimes require very large-scale testbeds, which could be provided by large farms foreseen for LHC computing and Grid projects. • If we desire to use commodity technologies, then anticipate use of 10 Gbit Ethernet, as well as Gigabit Ethernet in SLHC systems. Lankford – Trigger & Data Acquisition
Data Sources / Readout Buffers • This is electronics that buffers detector data at the input of HLT/DAQ systems and that sources data into HLT/DAQ networks. • They tend to operate at highest rates (relative to other HLT/DAQ components). • Cannot benefit from ‘event parallelism’, as exploited by other components • Each data source must function at full FLT rate. • Increased occupancy (and increased FLT rate) increase data source internal bandwidth requirements. • These elements likely to need upgrade for SLHC rates. • Compare performance with SLHC requirements Lankford – Trigger & Data Acquisition
Data Sources / Readout Buffers R&D • Upgrade directions: • Internally, these elements tend to employ busses for data transfer. • Reasonable for O(80Mword/sec) on circuit board • Challenging for higher bandwidths between groups of modules (e.g. on backplanes) • High-speed serial connections may provide better data transfer in upgrades. • Technology trends in this direction • FEE inputs to these elements already on serial links. • Serial output links to HLT/DAQ network with bandwidth comparable to bandwidth of input links will remove bottleneck. • I.e., push network technology closer to FEE, to exploit: • High-speed serial links • Parallelism afforded by networking Lankford – Trigger & Data Acquisition
HLT Algorithms • New HLT algorithms needed To maintain selectivity in face of increased occupancy and pile-up • e.g. Electron triggers • Dominate FLT output rate, unless thresholds raised high • FLT rate = 22 kHz @ 30 GEV threshold at LHC • FLT selectivity degraded because pile-up blurs isolation • HLT algorithms must recovery selectivity despite degraded isolation. • How can this be accomplished? Will refined tracking information need to brought to bear early in selection sequence? • e.g. Muon triggers • Degraded by occupancy • Degraded by loss of momentum-resolution at higher threshold • HLT algorithms must recover selectivity. • HLT algorithms must accommodate upgraded muon detectors. • Moore’s Law will provide data processing power for new algorithms. Lankford – Trigger & Data Acquisition
Complexity Handling • HLT/DAQ systems are extremely complex. • Large numbers (thousands) of processors • Even larger numbers of software processes & tasks • Highly distributed, heterogeneous system • “Real-time” demands not present in offline systems • Complex control (e.g. startup & shutdown) procedures • Remote access required for monitoring & troubleshooting • Very high reliability required • Robustness, redundancy, fault tolerance • Including robustness of complex selection algorithms • Note: Technology evolution may mean that SLHC HLT/DAQ systems are no larger than for LHC. In this case, SLHC ‘complexity’ stays same as LHC Lankford – Trigger & Data Acquisition
Complexity Handling R&D • R&D can develop solutions to manage complexity. • R&D can track development of tools for ‘complexity handling’ in very large commercial and other applications. • E.g. web tools from e-commerce for high-level controls and user interfaces • Similar remote access, security, database issues Lankford – Trigger & Data Acquisition
Summary • Higher Luminosity => • Increased event pile-up & detector occupancy • Increased trigger rates & data volume • Increased radiation effects • Enabling technologies: • Integrated circuits: custom, FPGAs, memories, etc. • Commodity computing & networking • Challenges arise in data transfer & in data processing • Processing challenges felt mainly in First Level Triggers • Data transfer challenges felt in both FLTs and HLT/DAQ • Trigger rates manageable by: • Increasing thresholds on inclusive triggers • Using exclusive triggers where low thresholds needed • Technical solutions exist, but R&D is required. Lankford – Trigger & Data Acquisition
R&D Summary • First Level Triggers • Operation with 80 MHz crossing rate • Coping with increased occupancy (muons) & pile-up (calorimeter) • Adapting to new sub-detectors or readout • Radiation-tolerant on-detector FLT electronics • Input data links from Front-end Electronics • High Level Triggers & Data Acquisition • Coping with increased data bandwidth • Input data links, HLT/DAQ networks, data sources / readout buffers • Coping with increased occupancy & pile-up (& new detectors or r/o) • New HLT algorithms • Complexity handling Lankford – Trigger & Data Acquisition