Cutting-Edge Developments in Calorimetry and Detector Technology
Explore innovative research in calorimetry and detector technology, including cost-effective scale-up calorimeters, advanced scintillators, new materials for calorimetry, and front-end electronics needs for high-energy resolution and picosecond timing. Discover the latest advancements in photon detectors, system aspects, and simulation techniques to enhance detector performance for various scientific applications.
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Presentation Transcript
Minfang: scale-up calorimeter Cost-effective scale-up calorimeter using liquid scintillators (<1$/Kg) Water-based liquid scintillator with direct Cherenkov and scintillation detection capabilities. Capability of loading heavy metal at ~10%. LiquidO: photon random walk (self-confinement) Ren-yuan Inorganic scintillators with different parameter optimization
Bob Hirosky Signal collection/active volume/granularity: direct integration with (in)organic scintillator block fabrication Effectively large area seensors Thin film electronics. OLED displays Dynamic range for ecal: 10MeV-100GeV, readout and sensor integration Fight tyranny of FPGA resource limits: fast, controlled-latency interfaces to CPU/GPU for L1 trigger. Calibration: embedding calibration hardware at cell level Synergies: choose optimization for a specific application, exploiting specific capabilities
R&D drivers: 1.New materials for calorimetry, and how they can be tailored to a specific application (including prospects from nanotechnology); develop industrial partners a. Scale-up material (liquid scintillators) b. Inorganic scintillators Bright, fast, rad hard Ultrafast inorganic (quantum dots may help to break the ps timing barrier) [also medical industry]LuO:Yb can be o Dense-UV transparent, cost-effective heavy inorganic scintillator [water-based liquid scintillator] (HHCAL) c. Maps for cost-effective large scale structures 2. Wavelength shifters to match scintillator (quantum dots, pTP, flavenols) 3. Photon detectors: SiPM
R&D drivers: 1.Front-end electronics needs for high energy resolution: a) High dynamic range [14 bits] 2.Front-end electronics needs for picosecond timing calorimetry: a) Waveform sampling and feature extraction 3.System aspects (mechanical): low mass support & cooling 4.System aspects (electronics): powering scheme & interconnections 5.System aspects (data processing): intelligent calorimeter 6.Concepts from the above lines of investigation that can be adapted to hadron identification (time-of-flight, RICH ) 7.Simulation: speed improvement with respect to GEANT
RaDiCal (Ruchti/Wetzel) Radical: point specific aspects of readout at the front and back
Maps for calorimetry (Brau) Overall detector performance with low-cost material MAPS for tracking and calorimetry are feasible and can be cost effective (standard CMOS foundry, low resistivity, no bump bonding)
Andy White Use of AI
