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Mechanics, readout and cooling systems of the Mu3e experiment

Frank Meier Paul Scherrer Institute

17 October 2019

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Prelude

What is Mu3e about?

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Introduction to Mu3e

Mu3eis an experiment to search for

µ+→e+ee+

A very rare decay.

We’re in an unusual regime, hence allow for some physics background.

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Introduction to Mu3e

µ→eee in the standard model.

W+

¯ νe

¯ νµ

γ

µ+ e+

e e+

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Introduction to Mu3e

µ→eee in the standard model.

SM: <1×10−54

The suppression comes from the neutrino masses.

Current best limit: <1×10−12 (SINDRUM 1988)

Alternative models predict BR within reach of Mu3e (<1×10−16).

W+

¯ νe

¯ νµ

γ

µ+ e+

e e+

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Introduction to Mu3e –– Signal in r φ-view

e+

e+ e

Signal

SM: <1×10−54

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Introduction to Mu3e –– Signal in r φ-view

e+

e+ e

Signal

SM: <1×10−54 Ppi = 0

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Introduction to Mu3e –– Signal in r φ-view

e+

e+ e

Signal

SM: <1×10−54 Ppi = 0

minv =mµ

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Introduction to Mu3e –– Signal in r φ-view

e+

e+ e

Signal

SM: <1×10−54 Ppi = 0

minv =mµ ti =tj ∀i,j

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Introduction to Mu3e –– Signal in r φ-view

e+

e+ e

Signal

SM: <1×10−54 Ppi = 0

minv =mµ ti =tj ∀i,j common vertex

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Introduction to Mu3e –– Signal in r φ-view

e+

e+ e

Signal

SM: <1×10−54 Ppi = 0

minv =mµ ti =tj ∀i,j common vertex

e+

e+

e ν

ν Radiative decay SM: 3.4×10−5 Ppi 6= 0 minv<mµ ti =tj

common vertex

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Introduction to Mu3e –– Signal in r φ-view

e+

e+ e

Signal

SM: <1×10−54 Ppi = 0

minv =mµ ti =tj ∀i,j common vertex

e+

e+

e ν

ν Radiative decay SM: 3.4×10−5 Ppi 6= 0 minv<mµ ti =tj

common vertex

e+

e+ e

Accidental background Ppi ≈0 minv ≈mµ ti ≈tj

“bad vertex”

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Introduction to Mu3e – hypothetical signal responses

bg = white

Expected Sensitivity for µ → eee in Phase I

Full Geant4-based detector simulation

Expected SM background Prospects for µ → eee signal at various

branching fractions

2] [MeV/c mrec

96 98 100 102 104 106 108 110

2 Events per 0.2 MeV/c

3

10

2

10

1

10 1 10 102

at 10-12

→ eee µ

at 10-13

→ eee µ

at 10-14

→ eee µ

at 10-15

→ eee µ ν

eeeν

→ µ

muons/s muon stops at 108

1015

Mu3e Phase I

Bhabha + Michel

A. Perrevoort (PI HD) New Physics in Mu3e DPG 2017 4 / 14

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Part I

Search for µ → eee with pixels.

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Mu3e detector concepts

We are facing the following challenges:

I Low momentum electrons,pe ≤53 MeV I µ decay whenever they will.

I No trigger.

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Mu3e detector concepts

We are facing the following challenges:

I Low momentum electrons,pe ≤53 MeV⇒ low material design I µ decay whenever they will.

I No trigger.

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Mu3e detector concepts

We are facing the following challenges:

I Low momentum electrons,pe ≤53 MeV⇒ low material design I µ decay whenever they will.⇒ Always on.

I No trigger.

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Mu3e detector concepts

We are facing the following challenges:

I Low momentum electrons,pe ≤53 MeV⇒ low material design I µ decay whenever they will.⇒ Always on.

I No trigger. ⇒ Capture all hits.

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Mu3e detector concepts

Phase-I configuration:

Target Inner pixel layers

Outer pixel layers Recurl pixel layers

Scintillator tiles μ Beam

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Mu3e detector concepts

Phase-I configuration:

Target Inner pixel layers

Outer pixel layers Recurl pixel layers

Scintillator tiles μ Beam

I High rate: 108 muon stops on target per second I Time resolution (pixels): 20 ns

I Vertex resolution: about 200µm I Momentum resolution: about 0.5 MeV

I All inside a cryogenic 1 T magnet, warm bore I.D. 1 m

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Mu3e detector concepts – Layers 1/2

Modules layer 2 design (1 is similar, one facet less)

Inner modules have ladders of 6 chips each. Observe: No V-folds here.

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Mu3e detector concepts – Layers 1/2

Modules layer 2 design (1 is similar, one facet less)

Exploded view of same part.

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Mu3e detector concepts

4.2 Layers 1 & 2

Figure 4.8: Orientation of the MuPix chips on layers 1 & 2 with the detector in yellow, periphery in red and blue cooling flow.

4.2.3 Results

The results obtained from the simulation of G12 are discussed in this section. All results showed here are with helium as coolant and silicon as chip material. Firstly, results obtained with a simplified geometry are discussed which are used as Benchmark for the further simulations and optimisation. Then, the results from the original geometry is shown, analysed and optimisation potential discussed. At the end the results obtained from the optimisation are shown.

Benchmark results

As the in- & outflow of the G12 has a large influence on the results, a simplified geometry was used to estimate the possible temperature of the chips with straight in- & outlet. It is also useful to compare the influence of the unequal heat dissipation in the MuPix chip. Figure 4.9 shows the temperature of the MuPix with constant and unequal heat dissipation. With the equal heat dissipation the maximal temperature is65C compared to98C with the higher heat in the periphery. The main issue with the periphery is on layer 2 as there is no cooling flow directly over this overlap. Therefore, the heat has to be transferred by conduction to other cooled parts of the chip which is causing high temperature.

A change in the orientation would decrease the performance of the particle tracking and is therefore not suitable. It has still been tested with the Benchmark geometry and showed a major decrease of the maximal temperature. The temperature decreased from 98C to 69C.

45

Cut in ther−φplane.

Yellow:activepixel matrix Red:periphery, non-sensitive but has material and is a source of heat.

The gap (light blue) will be used for thecooling(see later).

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Mu3e detector concepts

To briefly put that into perspective:

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Mu3e detector concepts

Shown: One one module per layer inserted.

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Mu3e detector concepts

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Mu3e detector concepts

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Mu3e detector concepts

4mm

6mm

HDI ~100µm Mupix sensor 50µm

Mupix periphery polyimide 15µm

SpTAB bonds

Radiation length:≈0.1%x/X0

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Part II

Reading out data with aluminium HDI.

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Reading out over an aluminium HDI

Our HDI stack:

Aluminium thickness: 12µm. Why? Reduce material.

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Reading out over an aluminium HDI

Test setup with 24 cm long HDI (conservative, detector will use 18 cm):

Board on the left is our standard single chip board. HDI acts as an

”expandion cord“.

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Reading out over an aluminium HDI

A closer look to the chip:

Connections are made usingsingle point tape automated bonding(SpTAB), bonding the aluminium trace directly to the chip pad (no wire).

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Reading out over an aluminium HDI

Eye diagram at 1.25 GHz 90Sr source

It works well! BER≤1.5×10−15 (measurement ongoing as we speak)

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Part III

Cooling of a pixel detector with gaseous helium.

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Cooling a pixel detector with helium

Cooling needs:

I 2844 chips `a 20×20 mm2 active area⇒ 1.14 m2 instrumented I 250 mW/cm2 heat dissipation⇒ about 3 kW

I Upper temperature governed by glue⇒<60C I Temperature gradient along ladders acceptable

I Stability over time is crucial, not absolute temperature

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Cooling a pixel detector with helium

Why helium at ambient pressure?

I Radiation length≈17×larger than air I Large speed of sound: 980 m/s

I Spec. heat capacity 5.2 kJ/(kg K) (air: 1 kJ/(kg K)) I Inert

I Affordable

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Cooling a pixel detector with helium

The low-mass paradigm doesn’t allow for traditional liquid cooling. Hence we switch to Helium, the lowest mass gas.

2Coolingsystem

Part B (Centre) Global

Part A (Upstream) Part C (Downstream)

Global V-fold layer 4 Gap layer 3 & 4 V-fold layer 3 Gap layer 3 & SciFi

Silicon layer 4

Silicon layer 3 Silicon layer 2Silicon layer 1 Gap layer 1 & 2

Target z

Figure 2.2: Helium cooling system of the silicon chips with detail of the centre part.

10

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Cooling a pixel detector with helium

2Coolingsystem

Part B (Centre) Global

Part A (Upstream) Part C (Downstream)

Global V-fold layer 4 Gap layer 3 & 4 V-fold layer 3 Gap layer 3 & SciFi

Silicon layer 4

Silicon layer 3 Silicon layer 2Silicon layer 1

Gap layer 1 & 2 Target

z

Figure 2.2: Helium cooling system of the silicon chips with detail of the centre part.

10

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Cooling a pixel detector with helium

4 CFD Simulation

Figure 4.21: MuPix temperature with outer mylar tube.

Summary of results of G12

Table 4.5 shows the summary of all relevant results obtained for the gap flow between layers 1 & 2.

The solid column is indicating the defined material of the MuPix chip. Unequal heat dissipation indicates if the MuPix chip was divided into two parts with different heat dissipation or set to the equal value of 400mW/cm2(see section 4.1.5). The Benchmark was used to compare the heat transfer with the estimation and to provide a benchmark for the further simulations. It shows that the higher heat dissipation in the periphery is causing an increase of around 30 K. For the original and optimised version the increase is lower but in a similar range.

The optimisation is also decreasing the temperature of the MuPix by around 10 K both with and without the higher heat dissipation in the periphery.

The elongation and outer tube showed different effects in terms of cooling. The elongation increased the temperature by approximately 40 K which is not suitable. On the other hand the outer tube decreased the maximum temperature by 40 K which is far below the maximum of 70C.

56

Example CFD simulation result for vertex

detector.

P/A= 400 mW/cm2, unequally distributed among periphery and pixel matrix

Chip size 20×23 mm2

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Cooling a pixel detector with helium

Simulation is nice. Measuring something in the lab isnicer.

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Cooling a pixel detector with helium

We started with tape heater ladders. . .

Aluminium-polyimide laminate, stainless steel plates (d = 50µm). All dimensions match current detector design.

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Cooling a pixel detector with helium

. . . assemble them to a L1/2 mockup. . .

Again everything matches specs, especially mechanical structure is final. Electrical connections using Samtec ZA8H interposers.

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Cooling a pixel detector with helium

. . . integrate it into a test stand. . .

Low-mass thermocouples added to mockup structure.

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Cooling a pixel detector with helium

5.1Measurementmodel

Pressure Mass flow Temperature

Various Measurement points

Electrical Cooling gas Legend process media

Leakage gas

DC

T_ in

T_ in T_ outT_ out

p_ in_ out p_ in_ out p_ in_ out

A A

T_ layer 2 Nr. 1-6 T_ layer 2 Nr. 1-6

Distance sensor Distance sensor Distance sensor

m_ out m_ out m_ out p_ out _ amb

Gas analyzer

Thermal camera m_ in

m_ in m_ in

Figure 5.1: Measurement plan of gap flow between layers 1 & 2.

85

. . . that offers all the diagnostics needed.

This setup can be operated with air and helium.

NB: One bottle of 50 L helium at 200 bar offers 12 min of measuring time with 2 g/s mass flow.

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Cooling a pixel detector with helium

7.3 Temperature distribution

(a) Measurement - optimised inflow geometry.

(b) CFD - original inflow geometry.

(c) CFD - optimised inflow geometry.

Figure 7.2: Comparison of temperature distribution obtained from CFD simulations and mea- surement with a helium mass flow of 2g/sand a constant heat load of 400mW/cm2.

143

Heat maps in simulation suggested the formation of a vortex.

Do we see it in the lab?

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Cooling a pixel detector with helium

7.3 Temperature distribution

(a) Measurement - optimised inflow geometry.

(b) CFD - original inflow geometry.

(c) CFD - optimised inflow geometry.

Figure 7.2: Comparison of temperature distribution obtained from CFD simulations and mea- surement with a helium mass flow of 2g/sand a constant heat load of 400mW/cm2.

143

Heat maps in simulation suggested the formation of a vortex.

Yes. Views of simulation match view of IR camera.

7.3 Temperature distribution

(a) Measurement - optimised inflow geometry.

(b) CFD - original inflow geometry.

(c) CFD - optimised inflow geometry.

Figure 7.2: Comparison of temperature distribution obtained from CFD simulations and mea- surement with a helium mass flow of 2g/sand a constant heat load of 400mW/cm2.

143 NB: Hot zones to left and right are from power feeds.

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Cooling a pixel detector with helium

4.7 Layers 3 & 4 coupled

Velocity

Temperature

Figure 4.43: Velocity and temperature profile of part A with optimised geometry.

Part A-B-C

The results of the simulation with all three parts are shown in figure 4.45 with the MuPix and global flow temperatures. The MuPix of part B show again an increase in temperature resulting from the missing interface. All three parts show a different MuPix temperature behaviour, for part A the temperature increases withz, which can be expected, because the cold flow enters atz=580 mm and flows alongzwhere it gets heated up. Part B has flows coming from both sides resulting in a maximal temperature somewhere aroundz= 0 mm. Part C has the maximum temperature of layer 3 at lowzbecause the inlet is atz= 580 mm and is heated up toz= 200 mm. On the other hand, layer 4 has the maximum temperature at higherzbecause the global flow is flowing in the opposite direction.

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Simulation of full detector, central part shown.

Observe the temperature at low radii where the SciFi will be.

No significant heat influx to SciFi.

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Mu3e helium cooling – miniature turbo compressor option

GL12 Mu3e

GL3S GL3T-1 GL3T-2 GL34-1 GL34-2 GL34-3 VL3-1 VL3-2 VL3-3 VL4-1 VL4-2 VL4-3 GLF g/s 2.0 6.9 5.7 5.7 7.6 7.6 7.6 1.3 1.3 1.3 1.5 1.5 1.5 4.0 mbar

40 25 28 28 25 25 25 90 90 90 80 80 80

~0

GL12 VL3-1 VL3-2 VL3-3 VL4-1 VL4-2 VL4-3 GLF

g/s 2.0 1.3 1.3 1.3 1.5 1.5 1.5 45 mbar

–40 –90 –90 –90 –80 –80 –80

~0

0°C Turbocompressors

Turbocompressors

Expansion tank

Heat exchanger Roots pump

Cryo trap LN2 ~70 K

Not shown:

- Control valves per circuit - Sensors (p, T, F) - Gas analysis sensor

Bypass 25.9.19, F. Meier

Simplified conceptual sketch

Vibration damper

Vibration damper

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Conclusions

I Low momentum tracking with thin pixels is possible, but posesunique challenges in detector design.

I You have to leave thecomfort zone of past experience in detector construction.

I Thin aluminium HDI work, 1.25 Gbit/s demonstrated.

I Gaseous helium cooling demonstrated in simulation and in the lab.

I Next steps: MuPix10 (see talk by A. Sch¨oning), helium plant

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ENCORE

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Let’s focus on the pixels. Monte-Carlo studies led to the following geometry:

0 100

50

–50

–100

mm

100 200

–100 –200

Layer 1 Layer 2 Layer 3 Layer 4

Half-shells 4 or 5 ladders

Modules of 4 ladders

MuPix chips

Target Target

0mm

(B = 1 T,x/X0 = 0.1% per layer)

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Identical copies of layers 3/4 will extend the detector inz to extend coverage for recoiling tracks.

0 100

50

–50

–100

mm

0 100 200

–100 –200

Layer 1 Layer 2 Layer 3 Layer 4

MuPix chips Target

mm

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Ok, we got the geometry. But what about the material budget of the pixel layers?

Let’s put this into perspective:

Experiment Ref. x/X0 per layer [%]

ATLAS IBL [?] 1.9

CMS Phase I [?] 1.1

ALICE upgrade [?] 0.3

STAR [?] 0.4

Belle-II IBL [?] 0.2

Mu3e 0.1

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Identical copies of layers 3/4 will extend the detector inz to extend coverage for recoiling tracks.

0 100

50

–50

–100

mm

0 100 200

–100 –200

Layer 1 Layer 2 Layer 3 Layer 4

MuPix chips Target

mm

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