ASIC needs for calorimetry at ATLAS and CMS · ADCs! Data formatting and interface to optics!...
Transcript of ASIC needs for calorimetry at ATLAS and CMS · ADCs! Data formatting and interface to optics!...
ASIC needs for calorimetry at ATLAS and CMS
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Outline
• Detector Technologies in ATLAS and CMS• Challenges & upgrades plans• Performance requirements at LHC and HL-LHC• Readout Issues:
• Architecture and Trigger requirements• Radiation Tolerance Requirements on the Front-End
• On-going R&D and open questions• Conclusions: ASIC vs. COTS?
• We got the Higgs.
• What are the driving physics motivations for the next ~20 yrs?
• What are the challenges for the calorimeters and for their readout (i.e. for the front-end readout)?
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• Higgs properties and phenomenology (precision measurements of relatively low energy objects)
• Searches for new phenomena at the energy frontier
• We got the Higgs.
•What are the driving physics motivations for the next ~20 yrs?
• What are the challenges for the calorimeters and for their readout (i.e. for the front-end readout)?
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• We got the Higgs.
• What are the driving physics motivations for the next ~20 yrs?
• What are the challenges for the calorimeters and for their readout (i.e. for the front-end readout)?
Performance issues in a very challenging environment
• Detector technology issues
• Response and resolution requirements
• Readout:
✓ system/architecture (e.g. evolution of the trigger systems)
✓ components (e.g. aging, radiation, ...)
• EM Calorimeter (EMB/EMEC):
‣ LAr + Pb accordion
‣ ~180k readout channels
‣ ~150-180 kW on detector
• Hadronic:
‣ Barrel (Tile): Scintillating Tiles + PMT readout
‣ Endcap (HEC): LAr + Cu absorber
✦ Cryogenic GaAs ASICs (preamps+adders)
• Forward Calorimeter (FCAL):
‣ LAr tubes ( +Cu absorber in first module, W absorbers in the two hadronic modules) 3
• ECAL:
‣ PbWO4 crystals
‣ ~76k scintillators + APD/VTR photodetectors
• HCAL:
‣ Plastic scintillators + WLS fibers + HPD photodetectors
‣ Brass absorbers (HB, HE), steel return yoke (HO)
• HF:
‣ Cerenkov radiation collected with quartz fibers + PMT readout + steel absorber
Calorimeter Technologies in ATLAS and CMS
• EM Calorimeter (EMB/EMEC):
‣ Electronics aging, radiation
‣ New requirements from trigger (L1 rates and latency)
‣ Upgrade plans: trigger interface LS2, full readout LS3
• Hadronic:
‣ Electronics aging, radiation
‣ New requirements from trigger (L1 rates and latency)
‣ Upgrade plans: trigger interface LS2, full readout LS3
• Forward Calorimeter (FCAL):
‣ Potential space charge effects in LAr gaps in HL-LHC
‣ Potential upgrade in LS3 4
• ECAL:
‣ Degradation of crystal transparency induced by radiation (EE)
‣ Electronics longevity
‣ Potential new requirements from Level-1 trigger
‣ Upgrade plans for LS3
• HCAL:
‣ Discharges in HPD readout: upgrade to SiPM
‣ Depth segmentation (4 in HB, 5 in HE)
‣ Upgrade plans for LS2
• HF:
‣ Anomalous signals from muons striking PMTs
‣ Already plans to upgrade to multi-anode PMTs in LS1
Calorimeter Technology Challenges
• Maintain performance in high pileup environment
‣ Energy resolution:
‣ Fast shaping (@40ns peak time)
‣ Noise levels: ~30 MeV [EM Barrel CD=0.4-2nF]
‣ Linearity (INL): ~0.2% [EM] / ~2% [HAD]
‣ Dynamic Range: 16 bits
‣ Trigger Rates: First level of hardware trigger up to 200-500kHz / 6us @ HL-LHC
‣ Trigger performance: unprescaled ~25 GeV electrons @ 20% trigger bandwidth 5
• Maintain basic performance (similar or equivalent to ATLAS) + ...
• Under study possible improvements in:
• ECAL
‣ In ATLAS LAr EM calorimeter segmentation in pointing strip allows at some extent correlation tracks from a given PV
‣ No possible with crystal calorimetry. Under discussion possible R&D on crystals with very high timing resolution (~10ps) to discriminate between e/jets from different vertices
• HCAL
‣ 4-5 longitudinal layers in the HCAL with individual readout to optimize particle flow algorithms and improve jet energy resolution
Calorimeter Performance Requirements @ HL-LHC
Radiation Tolerance in CMS • Readout electronics and
services mounted on the backplate
‣ Cover the full fiducial area of the EE calorimeter
• Extrapolation @ HL-LHC (3000fb-1):
‣ TID: 2-3x105 Gy (η~3.0)
‣ Neutrons (>100keV): 3x1014 n/cm2
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@500fb-1
Radiation Tolerance in ATLAS• Front-end readout electronics installed on crates on-detectors (LAr) and custom drawers at the top (Tile)
‣ Outer R: 280-320 cm (LAr) / 390-410 cm (Tile)
‣ Barrel Z=~290-340 cm / EndCap Z=~600cm
• Radiation Estimate Task-Force in ATLAS is re-evaluating radiation maps in the different parts of the detectors, comparing with local measurements with different radiation detectors (Report in 1 month-time scale. here only preliminary numbers)
‣ Agreement calculation/measurements ~20-30%
‣ For calorimetry higher doses in LAr EM Front-End crates [HEC excluded]
‣ Extrapolation to HL-LHC (3000fb-1):
✦ TID could be as low as ~10kRad (lower than expected)
✦ 1 MeV Si equivalent n-fluence: 1013 n/cm2 (in line with previous calculations or slightly lower)
• Real issue with radiation is Single Event Upsets @ HL-LHC
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Tile Drawers
LAr FE Crates
CMS Calorimeter Readout• Front-end ASICs:
‣ ECAL: Preamp, FP-Digitizer
‣ HCAL: QIE
‣ Serializer (GOL/GBT) and optical transmitter
• Only exception would be FE-FPGA in HCAL (?)
• Pipelines off-detectors (already presently)
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Present ECAL Readout
ATLAS Calorimeter Readout
• Mix of COTS and ASICs
‣ Preamp, Trigger readout: Discrete
‣ Shaper, SCA, SCAC, GainSel, MUX, TTC-Rx: ASIC in different technologies
‣ Serializer, ADC: COTS
• Pipelines on-detectors
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Present Readout Proposed readout for HL-LHC
• Similar?
‣ Analog FE ASIC (SiGe?)
‣ Digitizer+MUX+Serializer: ASIC? IBM 130nm? SoS?
• Pipelines off-detectors put heavier requirements on ADC and links (10Gbps single links or arrays radiation tolerant)
• [see Jingbo’s talk tomorrow]
On-going R&D on Front-End• Analog Front-end:
‣ SiGe IBM 8WL (130nm) preamplifier+shaper prototype [ATLAS LAr EM]
• Digitizers:
‣ QIE10 [CMS HCAL, ATLAS TileCal option]
‣ Nevis SAR+Pipeline - IBM 125nm 8RF [ATLAS LAr EM]
‣ Grenoble SAR - IBM 125nm 8 RF [ATLAS LAr EM]
‣ Clermont-Ferrand (LPC) - FATALIC [ATLAS TileCal option]
‣ Few independent COTS evaluations, which shows good behaviour under radiation
✦ Sensitivity of COTS devices for SEE may make the difference
• Serializers, Control Logic....:
‣ GBT project @ CERN
‣ SoC @ SMU - Peregrine SoS
‣ FPGAs ?? (can they survive SEE effects)?
• Opto-electronics:
‣ Versatile link project @ CERN [CMS HCAL]
‣ R&D in SoS (laser-driver...) @ SMU [ATLAS LAr]
‣ COTS optical modulator @ ANL [ATLAS TileCal]10
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COTS vs. ASIC• Commercial components are being developed at a much faster pace
• Many blocks could be implemented with COTS
‣ “modern” processes seem to be radiation tolerant
‣ SEE cross-sections may be fine for certain applications
‣ But...
• Analog Front-End:
‣ Very specific to the application: design of low noise, large dynamic range, high order filters with discrete components may have practical limitations (power, real estate on boards...) which an ASIC will not have likely
• Digitizers:
‣ COTS ADC are evolving fast (market growing?). Several of them can suit calorimeter requirements
‣ What an ASIC can provide? need to identify unique feature (e.g. large reduction of power, latency...). It could be argued either way
• Control/Serializers and Dataflow ICs:
‣ ASICs vs. FPGA: with increasing data throughput required FPGAs are attractive but SEE cross-sections are high and not clear they can be used even in moderate field:
✦ HCAL case of FLASH-based rad tolerant FPGAs is interesting. Scalability?11
COTS vs. ASIC• So ASIC are still required for the future upgrades of the calorimeter readouts at the
HL-LHC
• But at what extent?
• I personally believe that the calorimeter readout design should follow what other systems (trackers) have to do by necessity
‣ System on Chip: integrate as many functions as possible:
✦ Analog signal filtering
✦ ADCs
✦ Data formatting and interface to optics
✦ Signal processing (calibration and/or 0-suppression)
• That will make the ASIC case for calorimetry a real winning case.
‣ Absorb completely the complexity of the system design, while simplifying considerably the overall system design:
✦e.g. DC-DC distribution (a plague in ATLAS for long time for example), cooling...12