COMET:Implementation of Muon Calorimeter using LYSO Crystal Array - - PowerPoint PPT Presentation

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COMET:Implementation of Muon Calorimeter using LYSO Crystal Array - - PowerPoint PPT Presentation

COMET:Implementation of Muon Calorimeter using LYSO Crystal Array Shobhna Misra, Hrishikesh Iyer,Prathamesh Joshi and Vedant Basu Department of Physics, Indian Institute of Technology Bombay May 30, 2017 Outline Importance LYSO


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COMET:Implementation of Muon Calorimeter using LYSO Crystal Array

Shobhna Misra, Hrishikesh Iyer,Prathamesh Joshi and Vedant Basu

Department of Physics, Indian Institute of Technology Bombay

May 30, 2017

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Outline

◮ Importance ◮ LYSO Calorimeter Overview ◮ Experimental Setup ◮ Procedure ◮ Data Collection ◮ Results

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Charged Lepton Flavour Violation

◮ In the minimal Standard Model Framework with massless

neutrinos, lepton flavour conservation is a consequence of gauge invariance. However, the phenomenon of neutrino mixing demonstrates flavour violation in leptons

◮ Observation of flavour violation in charged leptons would

provide definitive evidence of new physics, being highly suppressed by the Standard Model.

◮ Coherent neutrino-less conversion of a negative muon to an

electron (µ−N → e−N) in a muonic atom is a prominent and experimentally favourable process,due to a monoenergetic signal electron at energies far from the normal muon decay spectrum

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LYSO Calorimeter

◮ Crystal Calorimetry is especially advantageous due to total

  • absorption. This provides accurate energy and position

resolution, along with efficient reconstructions

◮ The LYSO (Lithium-Yttrium Oxyorthosilicate) crystal is

suitable as a scintillator due to its high density and fast scintillation

◮ An array of Avalanche Photodiodes(Hamamatsu S8664-55).

converts this scintillation into a voltage signal, which is then fed into a pre-amplifier. This data is then digitized by EROS boards and fed into the Data Acquisition Unit.

◮ A slow control board is implemented to control calibration

LEDs, and monitor Temperature.

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Experimental Setup- Trigger

◮ The Level 1 trigger has been implemented using two plastic

scintillation detectors

◮ These are separated by an optimal distance to reduce the solid

angle, improving trigger efficiency.

◮ The scintillation is converted into a voltage pulse via a

Photomultiplier Tube

◮ The two PMT signals are then passed through a threshold

discriminator module, followed by a coincidence trigger. This is converted to ECL outputs, which serve as the overall trigger for the EROS board.

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Figure 1: Trigger Setup

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EROS Board

◮ Upon receiving the trigger, the analog input to the EROS

board is passed through the DRS4 IC, which is a high speed Domino Ring Sampler.

◮ The main processing is done by a Xilinx Artix-7 FPGA chip. ◮ To reduce dead time on the electronics, a daisy chain system

has been designed to network multiple EROS boards,using the high speed SiTCP protocol.

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Figure 2: capacitor offset values

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Data Processing

◮ Data Processing was performed on ROOT ◮ We initially calculated capacitor offset voltages using a

baseline sample

◮ After compensating for the offset we averaged the baseline

  • ver 10000 entries, and subtracted it from the raw signal data.
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Results:Linearity

The linearity of the output characteristics of the EROS board were tested using an RC Differentiator and a Function Generator

Figure 3: Output amplitude v/s input amplitude

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Results:Temperature

The stability of the output was studied across the operational range of 22◦C − 28◦C

Figure 4: Signal maxima vs Temperature

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Results: Cosmic Muon Signals

Finally, the entire assembly was tuned for detection of Cosmic Ray Muons

Figure 5: Signal after processing

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Figure 6: Contaminated signal

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Figure 7: rectified signals

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Issues faced

◮ Initially, we had problems due to inefficient triggering off a

single scintillator detector, which we attempted to correct by limiting the solid angle

◮ In the baseline calibration file, we were observing consistent

  • kinks. This was troubling as the capacitor readings were

restricted to a narrow almost Gaussian range.

◮ To calculate the baseline noise, we averaged capacitor values

  • ver all entries, which should give us a band near zero after

removing the inherent offset. Yet we observed this kink across all channels.

◮ We also had abnormal noise in the channels off one board

corresponding to a clean signal on the other 16 channels.

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Figure 8: Baseline Kink

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Acknowledgements

We would like to express our gratitude to

◮ Kou Oishi, Kyushu University ◮ Kazuki Ueno, KEK ◮ Yuki Fujii, KEK.