Application of Science Working group Artur Apresyan Introduction - - PowerPoint PPT Presentation

Artur Apresyan

Application of Science Working group

• My current activities are focused on

– CMS experiment at the LHC

• Data analysis (searches for new physics, SUSY) and High-

Luminosity LHC upgrades

– Generic R&D into precision timing detectors for future experiments (sub-100 psec precision)

• Micro-channel plates, SiPM, Ultra-Fast silicon sensors
• I will focus on areas that I have worked on and highlight a few

possible applications of these

Introduction

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• For the CMS and other future hadron colliders:

– High instantaneous luminosity is a key to get to our goals of finding new physics at low production cross-sections – Cost: large amount of pileup of overlapping collisions

• Solution in CMS:

– Precise charged particle trackers (mature technology), – Precise time tagging of each particle in the event at the level of 20 psec

• Several technologies now

Timing

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• Several detector technologies have been shown by now to

achieve or approach the needed level

– Micro-Channel-Plate detectors – APDs with various designs for the gain layer – SiPMs

• CMS is pursuing SiPM and APD options for Phase 2 upgrades
• FNAL has years of expertise in these technologies

– SiPM: CMS HCAL, CMS BTL, CMS HGCal – MCP: crucial work in the LAPPD development, many core team members from FNAL, labs to fabricate components – APD: NOvA, CMS ETL

Timing

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• Commercialization of timing detectors (LAPPD):

– Over the years the LAPPD consortium has identified several areas that a large area, cheap PMT would be needed – Examples are: night vision, border protection, security scanners, PET-TOF, medical imaging,…

• Border protection:

– Having LAPPD size cheap sensors could allow one to build a large area scanner for border control (e.g. scan a large truck, with higher rate and accuracy)

Timing

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• FNAL has worked in the past with PET-TOF SiPM

applications, but the project didn’t finish (afaik)

– Large improvement expected in PET-TOF if time resolution below 100 psec can be achieved: – Will dramatically reduce the exposure of the patients at the same precision

• Extensive knowledge in large experiments

– We are now starting a large program of SiPM and UFSD based detector for CMS Phase 2, so the capabilities are growing – Several labs in SiDet equipped to do precision timing R&D, and expanding (LDRD awarded this year). – We are developing the ASIC, and multi-channel synchronization for the CMS project: critical for any large scale application

Timing

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• LIDAR technology in autonomous vehicles (drones, cars, etc):

– An area that is expected to grow very fast, soon (Google, Uber..) – Laser light collected by the sensor on board:

• convert the time-of -flight into an analog signal, process on board

with the ASIC

Timing

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• An area where we have a lot of natural

expertise in sensor development (SiDet) and signal processing (ASIC)

– A fruitful collaboration with industry could involve common projects on both of these – A project in Uni of Geneva, in collaboration with medical industry on developing a SiGe ASIC for TOF-PET with best power consumption

• A large effort in CERN to bring ourselves up to speed with the

industry on Machine Learning

– Several forums organized within CERN, and within CMS – Collaborative meetings with industry, joint projects with Nvidia

• n GPU processing etc.
• Common projects in CMS involve things like track

reconstruction with deep learning NN, using GPUs

– Interesting project for both industry and for us in the HL-LHC environment of extreme PU – Collaborations with Simons foundation, strong expertise in the SCD, Data Science in HEP workshop soon at Fermilab

Big Data Analysis

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• Common issue in many of these possible applications

– Not enough time/funding to pursue both the work on the project and the “generic” R&D for the technology transfer

• Need to find partners that share the same intermediate goal

to which we can collaborate on

– Our goals after this step can be different, but we both benefit from collaboration to get to that step

• Not clear to me if the facilities available in FNAL are widely

known to the R&D communities in the industry?

– Do we have a strong enough presence at trade shows, specialized conferences, IEEE meetings?

Conclusion

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