Charge Signal Processors In A 130 Nm Cmos Technology For The Sparse
Readout Of Small Pitch Monolithic And Hybrid Pixel Sensors
- doi: 10.1109/TNS.2011.2164811
-
title: Charge Signal Processors in a 130 nm CMOS
Technology for the Sparse Readout of Small Pitch Monolithic and Hybrid
Pixel Sensors
- publisher: IEEE
- isbn:
- issn: 1558-1578
- rank: 1926
- access_type: LOCKED
- content_type: Journals
-
abstract: Hybrid pixel detectors are nowadays a robust
and mature technology for particle detection as well as for medical and
X-ray imaging, but the demands for improved performance for the next
generation high energy physics experiments ask for the development of
novel devices. Monolithic CMOS pixels have the potential to provide high
granularity thin detectors as the sensor and the readout electronics are
integrated in the same substrate. However, they suffer from a few
limitations closely related to their working principle. 3D vertical
integration has the potential of providing a performance breakthrough
toward the design of fast, radiation tolerant and ultra thin CMOS
radiation sensors. This work will discuss the design of analog circuits
for processing the signals from small pitch monolithic and hybrid pixel
detectors designed and fabricated in a planar 130 nm CMOS technology and
in a 130 nm CMOS technology with vertical integration capabilities.
Various solutions complying with different S/N ratio and detector
capacitance constraints will be described in this paper by means of
circuit simulations and experimental results.
- article_number: 6031789
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6031789
-
html_url:
https://ieeexplore.ieee.org/document/6031789/
-
abstract_url:
https://ieeexplore.ieee.org/document/6031789/
-
publication_title: IEEE Transactions on Nuclear Science
- conference_location:
- conference_dates:
- publication_number: 23
- is_number: 6041076
- publication_year: 2011
- publication_date: Oct. 2011
- start_page: 2391
- end_page: 2400
- citing_paper_count: 1
- citing_patent_count: 0
- download_count: 270
- insert_date: 20110929
-
index_terms:
-
ieee_terms:
- CMOS integrated circuits
- Detectors
- CMOS technology
- Noise
- Dispersion
- Prototypes
-
author_terms:
- Analog integrated circuits
- hybrid pixels
- monolithic pixels
- readout electronics
- three-dimensional integrated circuits
-
dynamic_index_terms:
- CMOS Technology
- Small Pixel
- Sensor Pixel
- Small Pitch
- Vertical Integration
- Supplier Integration
- Circuit Design
- Physical Experiments
- Pixel Detector
- Circuit Simulation
- Radiation Tolerance
- Radiation Hardness
- High Granularity
- Readout Electronics
- 3D Integration
- Charged Particles
- Digital Signal
- Threshold Voltage
- Active Sensors
- Analog Signal
- Parallel Signaling
- Parasitic Capacitance
- Heterogeneous Integration
- Multichip Module
- Charge Collection Efficiency
- Charge Collection
- Equivalent Charge
- Sensor Layer
- Analog Output
- Gain Stage
- Tracking Applications
- Charge Injection
- Central Pixel
-
authors:
-
Author Name: Gianluca Traversi
Affiliation: Sezione di Pavia, I.N.F.N., Pavia,
Italy
Author URL:
https://ieeexplore.ieee.org/author/37272466500
ID: 37272466500
Order: 1
Author Affiliations:
- Sezione di Pavia, I.N.F.N., Pavia, Italy
Image Sensor
- sensor_type: CMOS
- resolution: small pitch
- dynamic_range: not specified
- pixel_size: not specified
-
dark_current: 200 fA (anticipated) or less, with
potential for handling higher currents for noise insulation (e.g., 2 pA)
depending on configurations and circuits used in design experiments (as
per simulations) in the designs discussed in this work (particularly in
hybrid pixels and DNW MAPS) due to variations on leakage fluctuation
requirements where minimal leakage is expected to support performance
characteristics).
Optical Data
- focal_length: not specified
- aperture: not specified
- field_of_view: not specified
- distortion: not specified
Performance Metrics
-
frame_rate: 60 MHz readout clock (used in simulations
and operational configurations)
-
signal_to_noise_ratio: ≥ 25 (required for effective
performance in experiments)
-
power_consumption: Approximately 1.5 mW per pixel (for
SuperPIX0) & approximately 20 mW (for sensors in APSEL5T) as indicated
by various prototypes running specific configurations over experimental
tests, actual consumption may vary with operational choices in the
larger assemblies & technology iterations bringing efficiency; presence
of considerations including power dissipation extensively documented
through each iterative test).
-
noise: baseline offset from the preamplifier output
specified to be negligible with respect to noise levels; equivalent
noise charge (ENC) of the front-end electronics less than 160 e- (rms),
aggregated through circuit simulations with dispersion; final
characterization projected ENCs around 35 e- notable in the hybrid
systems or as integrated with MAPS with adjusted sampling and feedback
circuits.
Applications & Benefits
-
cell_imaging: Used extensively for small pitch hybrid
pixel sensors - facilitating high granularity and reduced material
budgets aligning with future tasks in High Energy Physics experiments
targeting resolution and clarity under radiation effects known with
various particle tracking applications.
-
benefits: Improvements in spatial resolution in imaging
applications, enhancements on material budgets through integrated
designs reducing physical footprint of sensor configurations, better
radiation tolerance anticipated through the discussed structures when
paired with varied bonding technologies for extensive applications in
mobile systems (e.g., automotive, medical imaging devices).
Supporting Organizations
-
supported_by: STMicroelectronics,
GlobalFoundries-Tezzaron and other related industrial consortium
participation noted through technological fabrications for prototyping
and testing phases.
Manuscript Details
- publication_date: Oct. 2011
Relevancy Score
Processed JSON Filename
request_ce9f3ab4-56fa-4303-8af2-f9ca7c392c1d-charge_signal_processors_in_a_130_nm_cmos_technology_for_the_sparse_readout_of_small_pitch_monolithic_and_hybrid_pixel_sensors.json