l. ratti a,c, e. pozzati a,c, c. andreoli a,c, m. manghisoni b,c, v. re b,c, v. speziali a,c, g....

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L. Ratti a,c , E. Pozzati a,c , C. Andreoli a,c , M. Manghisoni b,c , V. Re b,c , V. Speziali a,c , G. Traversi b,c a Università degli Studi di Pavia b Università degli Studi di Bergamo c INFN Pavia International Linear Collider Workshop International Linear Collider Workshop Valencia, 6-10 November 2006 Valencia, 6-10 November 2006 CMOS Monolithic Sensors with Sparsified Readout and Time Stamping Capabilities for Vertexing Applications at the ILC

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L. Rattia,c, E. Pozzatia,c, C. Andreolia,c, M. Manghisonib,c, V. Reb,c, V. Spezialia,c, G. Traversib,c

aUniversità degli Studi di Pavia

bUniversità degli Studi di Bergamo

cINFN Pavia

International Linear Collider WorkshopInternational Linear Collider Workshop

Valencia, 6-10 November 2006Valencia, 6-10 November 2006

CMOS Monolithic Sensors with Sparsified Readout and Time Stamping Capabilities

for Vertexing Applications at the ILC

2ILC Workshop 2006 – Valencia, 6-10 November 2006

MAPS for vertexing applications

Tracking and vertexing systems in future high luminosity colliders (ILC, SLHC, Super B-Factory) will be operated at high rate with low material budget to optimize position and momentum resolution

An ambitious goal is to design MAPS with similar readout functionalities as in hybrid pixels (sparsification, time stamping, e.g. FPIX)

A readout architecture with data sparsification would be a new feature which could give some advantages with respect to existing MAPS implementations

decouple modularity from readout speed

reduce digital power dissipation

flexibility in dealing with possible luminosity and background changes during the experiment lifespan

Modern VLSI CMOS processes (130 nm and below) could be exploited to increase the functionality in the elementary cell

Monolithic active pixel sensors (MAPS) may provide the required low mass and high granularity

3ILC Workshop 2006 – Valencia, 6-10 November 2006

In triple-well CMOS processes a deep N-well is used to isolate N-channel MOSFETs from substrate noise

Deep N-well structure

NMOS PMOS

P-substrate

Buried N-type layer

P-well

Standard N-well

P-epitaxial layer Such features were exploited in the development of deep N-well (DNW) MAPS devices

A DNW is used to collect the charge released in the epitaxial layer

A readout channel for capacitive detectors is used for Q-V conversion gain decoupled from electrode capacitance

NMOS devices of the analog section are built in the deep N-well

Using a large detector area, PMOS devices may be included in the front-end design charge collection inefficiency depending on the ratio of the DNW area to the area of all the N-wells (deep and standard)

Deep N-well MAPS concept

4ILC Workshop 2006 – Valencia, 6-10 November 2006

PMOSPMOSNMOS P-well

High sensitivity charge preamplifier with continuous reset

RC-CR shaper with programmable peaking time (0.5, 1 and 2 μs)

A threshold discriminator is used to drive a NOR latch featuring an external reset

A couple of test structures were fabricated in a 130 nm, triple well, epitaxial layer CMOS technology by STM

Preamplifier Shaper Discriminator Latch

Gm

A(s)

b0

b0

b1

b1

+

CF

C1

C2

Vt

RST

VF

~43 m

~4

3

mThe first prototypes proved the capability of the sensor to collect charge from the epitaxial layer

(G. Rizzo et al., “A novel monolithic active pixel detector in 0.13 μm triple well CMOS technology with pixel level analog processing”, NIMA vol. 565, pp. 195-201, 2006)

Pixel level processor (Apsel family)

5ILC Workshop 2006 – Valencia, 6-10 November 2006

0

10

20

30

40

50

60

0 200 400 600 800

EN

C [

e- rm

s]

Capacitance shunting the preamplifier input, CT [fF]

tP=1 s

measurement

simulation

in

out

I

CF

iF

eIN

eCSEE1

E2

VF

Series noise from current

source

Series noise from input

device

Parallel noise from the feedback

network

ENC=40 e- rms @CD=320 fF (900 μm2 sensor area)

Two chips recently submitted to study charge spreading in the epi-layer and charge collection efficiency (130 nm CMOS process by STM)

Threshold dispersion about 40 e- rms

Power dissipation about 60 μW (although decreasing the input device current by a factor of three does not change significantly the noise performances)

900 μm2 sensor area

Analog performances

6ILC Workshop 2006 – Valencia, 6-10 November 2006

ILC is expected to feature a beam structure with 2820 crossings per train (1 ms), with a duty-cycle of 0.5%

Chance of a single cell being hit twice in a bunch train is ≤ 1% for 20 μm x 20 μm or smaller pixels pipeline with a depth of one is sufficient to record ≥ 99% of events with no ambiguity data can be readout all together during the intertrain interval

Maximum hit occupancy is assumed to be 0.03 particles/crossing/mm2

3 hits/particle yield a hit rate of about 250 hits/train/mm2

Although the occupancy is quite small, a time stamp may prove useful to complement information from other detectors and reconstruct hit patterns

Sparsification reduces the amount of data sent off the chip and digital power dissipation

A DNW MAPS sensor for ILC is being designed based on a token passing readout scheme suggested by R. Yarema (R. Yarema, “Fermilab Initiatives in 3D Integrated Circuits and SOI Design for HEP”, ILC VTX Workshop at Ringberg, May 2006)

DNW MAPS for vertexing at the ILC

7ILC Workshop 2006 – Valencia, 6-10 November 2006

Preamplifier Discriminator

22T

14T

iF

CF Vt

Preamplifier response to an 800 e- pulse

Smaller area than in the Apsel prototypes smaller detector capacitance

ENC=25 e- rms@CD=100 fF

Power consumption: about 5 μW

Threshold dispersion: about 30 e- rms

Features power-down capabilities for power saving

-0.02

0

0.02

0.04

0.06

0.08

0.1

0.12

0 5 10 15 20 25 30

iF=3 nA

iF=5 nA

iF=10 nA

iF=15 nA

Pre

amp

lifie

r o

utp

ut

[V

]

t [s]

Cell analog front-end

8ILC Workshop 2006 – Valencia, 6-10 November 2006

199 ms

60 s

Switch-on transient

Preamplifier pulse response

1.2

0.0

0.0

0.2

0.4

0.6

V

ONOFF

The analog section in the elementary cell can be switched off during the intertrain interval in order to save power (analog power is supposed to be predominant over digital)

Based on circuit simulations, power cycling with at least 1% duty-cycle seems feasible

Considering the power available for the ILC vertex detector (20 W) and the vertex barrel area (about 170000 mm2), the available power/cell is ≥4.7 μW for a pitch of 20 μm or larger, compatible with the power dissipation features of the analog front-end

Preamplifier pulse response

Power cycling

9ILC Workshop 2006 – Valencia, 6-10 November 2006

OE

OEb

t1

t2

t3

t4

t5

t5in

t4in

t3in

t2in

t1in

CPb

CP

DQ

Qb

WE

hit

hitb

tokin

tokrsttokout

getb_enQ

QbLat_en

R

S

token passing

core

Get X bus

From the time stamp counter

To the time stamp buffer

Cell C

K

Get Y bus

Master Reset

time stamp

register

4T

10T 13T 20T

76T

From the discriminator

Cell C

Khit latch bus

control FF

Includes a 5 bit time stamp register and the data sparsification logic

During the bunch train period, the hit latch is set in each pixel that is hit

When the pixel is hit, the content of the time stamp register gets frozen

Cell digital section

10ILC Workshop 2006 – Valencia, 6-10 November 2006

X=1 X=16

Y=1

Y=2

Y=16

X=2Time Stamp

Buffer 1

Time Stamp

Buffer 2

Time Stamp

Buffer 16

Cell (1,1)

Cell (1,2)

Cell (1,16)

Cell (2,1)

Cell (2,2)

Cell (2,16)

Cell (16,1)

Cell (16,2)

Cell (16,16)

5 5 5

5554 4 4

4

4

4

4

45

MUX

Last token out

First token in

X

Y

T

Tkin Tkout

1 1 1

TkoutTkin

Tkin Tkout TkinTkout

TkoutTkin TkoutTkin

TkoutTkin TkoutTkin TkoutTkin

TS TS TS

1

1

1

Serial data output

gXb

gYb

TS TS TS

TS TS TS

Readout CK

gXb

gYb

gXb

gYb

gXb

gYb

gXb

gYb

gXb

gYb

gXb

gYb

gXb

gYb

gXb

gYb

Cell CK

gXb=get_X_bus

gYb=get_Y_bus

TS=Time_Stamp

Tkin=token_in

Tkout=Token_out

Digital readout scheme

11ILC Workshop 2006 – Valencia, 6-10 November 2006

Detection

0 1 2 3 4

30 31

Discriminator output

Hit

Token in

Token out

Output enable

Discriminator output

Hit

Token in

Token out

Output enable

X Y TSCELL (2,6)

X Y TSCELL (5,8)

Data output

Data output

Serial Data Output

Cell CK

Readout

CELL (2,6)

CELL (5,8)

CELL (2,6)

CELL (5,8)

(next hit cell)

first event

second event

Token arrives at cell (2,6)

Cell (2,6) data are read out

Cell (5,8) data are read out

Token arrives at cell (5,8)

Timing diagram

12ILC Workshop 2006 – Valencia, 6-10 November 2006

Time stamp register

•Preamplifier

•Discriminator

DNW sensor

Sparsification logic•Token passing core

•Hit-latch

•Bus control FF

•Nand gate

25

m

25 m

ILC DNW MAPS demonstrator

A 16x16 MAPS demonstrator chip is being designed in the 130 nm bulk CMOS technology by STM

Increase in the number of elements just requires larger X- and Y-registers and serializer

Further pitch reduction might be achieved by:

replacing the digital time stamp register with an analog one

using a further scaled process, namely a 90 nm CMOS technology by STM, supposed to have substrate features similar to those of the 130 nm process

13ILC Workshop 2006 – Valencia, 6-10 November 2006

A 90 nm CMOS process might provide some advantages in the design of DNW MAPS with respect to the 130 nm processabout a factor of two reduction in silicon area occupation

better power/channel thermal noise trade off

better 1/f noise performances

Normalized power spectral densities for NMOS devices belonging to the STM 130 and 90 nm processes

smaller dispersion in device parameters

Experimental characterization of test structures in 90 nm CMOS process will provide useful information as to the design of DNW MAPS

10-30

10-29

10-28

10-27

10-26

103 104 105 106 107 108

130 nm Technology90 nm Technology

SeW

LC

OX [

FV

2/H

z]

Frequency [Hz]

NMOS W/L=1000/0.35 @ Id=0.1 mA, Vds=0.6 V

be careful with gate currents

DNW MAPS in 90 nm CMOS

14ILC Workshop 2006 – Valencia, 6-10 November 2006

A DNW MAPS demonstrator aimed at vertexing applications at the ILC is being designed in a 130 nm bulk CMOS technology The chip is capable of

Further activities are under way to optimize the elementary cell size and geometry, includingsimplification of the pixel cell logic

MAPS development in a 90 nm CMOS technology

physical device simulations

Conclusions

The chip is capable of sparsified readout, time stamp generation and is compatible with power cycling operation

Simulations show good noise and threshold dispersion performances at a power dissipation close to the ILC vertex specifications