maps in 130 nm triple well cmos technology for hep applications

1
MAPS in 130 nm triple well CMOS technology for HEP applications Enrico Pozzati 1,2 , Massimo Manghisoni 2,3 , Lodovico Ratti 1,2 , Valerio Re 2,3 , Valeria Speziali 1,2 , Gianluca Traversi 2,3 Introduction In this work deep N-well CMOS monolithic active pixel sensors (DNW-MAPS) are presented as an alternative approach to signal processing in pixellated detectors for high energy physics experiments. Based on different resolution constraints, some prototype MAPS, suitable for applications requiring different pitch, have been developed and fabricated in 130 nm triple well CMOS technologies. This work presents experimental results from the characterization of some test structures together with TCAD and Monte Carlo simulations intended to study the device properties in terms of charge diffusion and charge sharing among pixels. 3 Università di Bergamo Dipartimento di Ingegneria Industriale, I-24044 Dalmine (BG), Italy 1 Università di Pavia Dipartimento di Elettronica, I-27100 Pavia, Italy 2 INFN Sezione di Pavia I- 27100 Pavia, Italy Deep N-well pixel sensor concept A deep junction N-well is used as the collecting electrode. The impact of front-end electronics on the pixel fill-factor can be limited by placing the NMOS devices belonging to the processor analog section inside the deep N-well structure. Efficiency loss due to the presence of N-type diffusions housing P-type transistors might not be significant whether the deep N-well is comparatively larger. Conclusions A laser source has been employed to characterize the Apsel geometry in terms of charge diffusion and charge sharing among pixels. SDR0-geometry physical simulation Apsel2 laser source tests Central pixel equipped with a 60 fF injection capacitor Prototype chips Apsel family chips SDR0 chip Readout chain includes charge preamplifier, shaping stage, threshold discriminator and latch. The pitch is about 50 µm. Peaking time can be programmed to assume one of the following values: 0.5 µs, 1 µs, 2 µs. Readout chain includes charge preamplifier, threshold discriminator and latch. The pitch is about 25 µm and is suitable for applications at the International Linear Collider experiments. Signal processing at pixel level include sparsified data readout. Charge sensitivity [mV/fC] 614 610 540 573 576 500 565 PIXEL 2_1 1_1 1_2 1_3 2_2 2_3 3_1 3_2 3_3 600 534 Charge collected by the central pixel in the 3×3 matrix as a function of the laser spot position. Charge collected by the 3×3 matrix as a function of the laser spot position. A low power InGaAs/GaAlAs/GaAs laser source has been employed for experimental characterization of the Apsel2T chip 3×3 matrix (λ = 1060 nm). The chip has been back-illuminated in order to avoid reflection from the die surface. Electrical pulses with an energy close to 200 fJ are required to emulate a MIP at the die surface (substrate thickness = 254 µm). Matrix scan tests fearure 961 laser position points with a 5 µm step along both X and Y directions. Apsel2-geometry physical simulation Monte Carlo simulation results. Charge collected by the Apsel 3×3 matrix is displayed as a function of the position of the MIP collision point. 80 electrons for each micron are generated uniformly along a linear track normal to the device surface. Gaussian distribution in the plane orthogonal to the track with σ=0.5 µm. Simulated volume is 230×230×80 µm 3 . Electron lifetime has been taken into account (9.2 µs @ N A = 10 15 cm -3 ). Monte Carlo simulation assumptions Monte Carlo Laser 1398 Charge collected by the central pixel Charge collected by the 3×3 matrix Matrix loss (%) with respect to the max value (*) 31 31 1512 2283 2343 Monte Carlo simulation results. Charge collected by the 3×3 matrix as a function of the incident particle position. Charge collected by the central pixel Charge collected by the 3×3 matrix Matrix loss (%) with respect to the max value (**) Monte Carlo TCAD 48 1011 1060 1566 49 1619 TCAD simulated device. 36 collision points have been considered with a 5 µm step for both X and Y axes. a) b) Charge collected by the central pixel in the 3×3 SDR0 matrix according to TCAD simulations (a) and Monte Carlo simulations (b). Experimental results on the 3×3 matrix of the Apsel2T chip can be reproduced in Monte Carlo simulations. A good agreement was found between TCAD and Monte Carlo results in the SDR0 geometry simulation. A Monte Carlo code have been developed to simulate random walk of minority carriers in an undepleted detector substrate. Further investigation on the MAPS properties will be performed in the next months with the experimental characterization of the SDR0 prototype chip. (*) (**) (*) Comparison between Monte Carlo and TCAD simulation results for the SDR0 MAPS. Comparison between experimental and simulated results for the Apsel2 MAPS.

Upload: stan

Post on 07-Jan-2016

23 views

Category:

Documents


2 download

DESCRIPTION

Introduction. Charge sensitivity [mV/fC]. PIXEL. 614. 1_1. 1_2. 610. 1_3. 540. 2_1. 573. 2_2. 576. 2_3. 500. 3_1. 565. 3_2. 600. 3_3. 534. 1 Università di Pavia Dipartimento di Elettronica, I-27100 Pavia, Italy. MAPS in 130 nm triple well CMOS technology - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: MAPS in 130 nm triple well CMOS technology for HEP applications

MAPS in 130 nm triple well CMOS technology

for HEP applicationsEnrico Pozzati1,2, Massimo Manghisoni2,3, Lodovico Ratti1,2,

Valerio Re2,3, Valeria Speziali1,2, Gianluca Traversi2,3

Introduction

In this work deep N-well CMOS monolithic active pixel sensors (DNW-MAPS) are presented as an alternative approach to signal processing in pixellated detectors for high energy physics experiments. Based on different resolution constraints, some prototype MAPS, suitable for applications requiring different pitch, have been developed and fabricated in 130 nm triple well CMOS technologies. This work presents experimental results from the characterization of some test structures together with TCAD and Monte Carlo simulations intended to study the device properties in terms of charge diffusion and charge sharing among pixels.

3 Università di Bergamo Dipartimento di Ingegneria

Industriale, I-24044 Dalmine (BG), Italy

1 Università di Pavia Dipartimento di

Elettronica, I-27100 Pavia, Italy

2 INFN Sezione di Pavia I-27100 Pavia, Italy

Deep N-well pixel sensor concept

A deep junction N-well is used as the collecting electrode.

The impact of front-end electronics on the pixel fill-factor can be limited by placing the NMOS devices belonging to the processor analog section inside the deep N-well structure.

Efficiency loss due to the presence of N-type diffusions housing P-type transistors might not be significant whether the deep N-well is comparatively larger.

Conclusions

A laser source has been employed to characterize the Apsel geometry in terms of charge diffusion and charge sharing among pixels.

SDR0-geometry physical simulation

Apsel2 laser source tests

Central pixel equipped

with a 60 fF injection capacitor

Prototype chipsApsel family chips

SDR0 chip

Readout chain includes charge preamplifier, shaping stage, threshold discriminator and latch.

The pitch is about 50 µm.

Peaking time can be programmed to assume one of the following values: 0.5 µs, 1 µs, 2 µs.

Readout chain includes charge preamplifier, threshold discriminator and latch.

The pitch is about 25 µm and is suitable for applications at the International Linear Collider experiments.Signal processing at pixel level include sparsified data readout.

Charge sensitivity [mV/fC]

614

610

540

573

576

500

565

PIXEL

2_1

1_1

1_2

1_3

2_2

2_3

3_1

3_2

3_3

600

534Charge collected by the central pixel in the 3×3 matrix as a function of the laser spot position.

Charge collected by the 3×3 matrix as a function of the laser spot position.

A low power InGaAs/GaAlAs/GaAs laser source has been employed for experimental characterization of the Apsel2T chip 3×3 matrix (λ = 1060 nm).

The chip has been back-illuminated in order to avoid reflection from the die surface.

Electrical pulses with an energy close to 200 fJ are required to emulate a MIP at the die surface (substrate thickness = 254 µm).

Matrix scan tests fearure 961 laser position points with a 5 µm step along both X and Y directions.

Apsel2-geometry physical simulation

Monte Carlo simulation results. Charge collected by the Apsel 3×3 matrix is displayed as a function of the position of the MIP collision point.

80 electrons for each micron are generated uniformly along a linear track normal to the device surface. Gaussian distribution in the plane orthogonal to the track with σ=0.5 µm.

Simulated volume is 230×230×80 µm3.

Electron lifetime has been taken into account (9.2 µs @ NA = 1015 cm-3 ).

Monte Carlo simulation assumptions

Monte Carlo

Laser

1398Charge collected by the

central pixel

Charge collected by the 3×3 matrix

Matrix loss (%) with respect to the max value (*) 31 31

1512

2283 2343

Monte Carlo simulation results. Charge collected by the 3×3 matrix as a function of the incident particle position.

Charge collected by the central pixel

Charge collected by the 3×3 matrix

Matrix loss (%) with respect to the max value (**)

Monte Carlo

TCAD

48

1011 1060

1566

49

1619

TCAD simulated device. 36 collision points have been considered with a 5 µm step for both X and Y axes.

a) b)

Charge collected by the central pixel in the 3×3 SDR0 matrix according to TCAD simulations (a) and Monte Carlo simulations (b).

Experimental results on the 3×3 matrix of the Apsel2T chip can be reproduced in Monte Carlo simulations. A good agreement was found between TCAD and Monte Carlo results in the SDR0 geometry simulation.

A Monte Carlo code have been developed to simulate random walk of minority carriers in an undepleted detector substrate.

Further investigation on the MAPS properties will be performed in the next months with the experimental characterization of the SDR0 prototype chip.

(*)(**)

(*)

Comparison between Monte Carlo and TCAD simulation results for the SDR0 MAPS.

Comparison between experimental and simulated results for the Apsel2 MAPS.