Innovations in Pixel Detector Technology for Photon Science

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Balancing gain and dynamic range in a 25 μm pitch
hybrid pixel detector
 
Julian Heymes :: Post-Doc :: PSD Detectors group :: Paul Scherrer Institut
 
24
th
 International Workshops on Radiation Imaging Detectors 
:: 28.06.2023 :: Oslo, Norway
 
The MÖNCH timeline
 
1
M
icropixel with enhanced p
O
sition r
E
solution usi
N
g
CH
arge integration
 
Charge integrating 
 Analogue readout
Small pixel 
 low noise, lower dark current, high
spatial resolution, limited area
 
Technology
: UMC 110 nm
Standard sensor
: 300-320 
µ
m thick n-type silicon
Typical sensor bias
: 200 V
Data rate @ 1 kHz/1 cm
2
: 1.152 TB/hour
 
Possible applications using MÖNCH:
(
In-vivo
) 
t
omography, Resonant Inelastic X-ray
Scattering (RIXS), Fourier ptychography, High-
resolution imaging, colour imaging, electron
microscopy, (Laue diffraction), …
 
More about detectors for RIXS: Viktoria Hinger’s talk
(27.06 @ 14:00)
 
A versatile integrating pixel detector for photon science
 
2
 
Using charge sharing
 
3
Charge sharing
Low resolution
Analogue
High resolution
Digital
Retrieved analogue value in cluster proportional to the detected charge
(
i.e. photon energy)
Preservation of the spectral information
Isolated photons required 
(~1 % occupancy) 
 Fast frame rates and low flux
Charge sharing region in 320 µ
m Si at 120 V ≈ 15-20 
µ
m
Increasing the SNR: low noise and/or hard X-rays
Subpixel interpolation with 
η
 f
unction-based algorithms
 
Examples using Jungfrau with strixels in V. Hinger’s presentation
 
Spatial resolution with interpolation
Spatial resolution with interpolation
 
Energy resolution from clustering
Energy resolution from clustering
High resolution energy resolved (colour) imaging
4
MÖNCH0.3 - Siemens Star with spokes 60-0.5 µm gold on silicon with silicon microspheres
W-anode X-ray tube (40 kV, 200 µA)
A full spectrum with an energy resolution of about 750 eV FWHM is acquired for each pixel
Images can be binned in energy
Below the L-edge gold becomes “transparent” to X-rays
Color imaging works also in combination with interpolation.
Challenges due to polychromatic beam.
Native resolution – Full spectrum
Native resolution – Below Au L-edge
Interpolated to
1 µm bins
A Bergamaschi et al., Hybrid Detectors for High Resolution Imaging., Microscopy and Microanalysis, Volume 24, Issue S2, 1 August 2018, Pages 316–319
2x2 cluster spectrum
Low flux required for single
photon detection
Application of the interpolation with MÖNCH0.3
5
Native resolution
(25 
µm)
 
Interpolated to
1 
µm bins
Eiger
Mönch
Jungfrau
2 
µ
m gold on 200 
µ
m silicon sample f
abricated at LXN, PSI
Measurement with 10 keV photons at TOMCAT – Low flux for single photon detection
*S. Chiriotti, “
High-spatial resolution measurements with GaAs sensor with the charge integrating MÖNCH detector”, 
IWoRiD 2021
Benefits of noise reduction
6
Charge sharing
Low resolution
Analogue
High resolution
Digital
Improvement of the energy resolution 
 Colour imaging
Reduction of the detection limit: detection of low energy photons even with charge sharing to apply interpolation algorithms
Low energy detection
Low energy detection
Energy resolution from clustering
Energy resolution from clustering
MÖNCH0.4
7
400 x 400 pixels
, 25 µm pitch, 1 x 1 cm²
Designed in UMC110
19 Different pixel variants
Analogue readout up to 1.2 kHz
14bit ADC on board (CTB)
1
2
3
4
5
 
Noise results (static gains) – highest gains available
 
8
1
2
3
4
5
 
Spectral response to Fe fluorescence (2x2 clusters)
 
9
 
More about LGADs: Jiaguo Zhang’s poster (28.06)
Per pixel calibration of MÖNCH: Erik Fröjdh’s poster (26.06)
 
Linearity (Energy calibration with 2x2 clusters)
 
10
1
2
3
4
5
 
Dynamic range (static gains)
 
11
1
 
Gain
 
Dynamic
range
 
Balance of noise and dynamic range (static gains)
 
12
 
Noise [e
Noise [e
-
-
] / Dynamic range [12 keV photons]
] / Dynamic range [12 keV photons]
1
2
3
4
5
 
Low Gain
 
High gain
 
Super high gain
1
2
3
4
5
 
DGS architectures overview (for high-intensity applications)
 
13
At FELs:
 Shorter exposure times (~10 µs) with readout between bunches (SwissFEL: 100 Hz repetition rate)
At Synchrotrons:
 Fast frame rates (> 1 kHz) with large duty cycles (exposure time ≈ frame time)
Must handle very large signals from several (hundreds of) photons impinging during exposure while maintaining single photon resolution
 Dynamic gain switching + overvoltage protection
 
Main requirements
Main requirements
Very limited area (1/9
th
 JUNGFRAU) 
 
Only two preamp gains available (3 in JUNGFRAU), no burst mode
Current must be reduced to a minimum while keeping speed for efficient DGS
Architecture with higher noise, but needs to be kept under control
 
Challenges with DGS in small pixels
Challenges with DGS in small pixels
 
DGS in 25 µm pixel, it works - (“DGS 3” G1)
 
14
Scan of intensity by changing ND filters
Single pixel. Average of 100 frames
DAC value ↘ = Threshold ↗
 
Dynamic gain switching implemented in the 25 
µm pitch. Architectures inherently noisier than with static gain
Baseline of both gains well aligned. CDS gain limited to G1 for larger DR at HG without saturation
Low gain noise after switching equivalent to noise with low gain forced (around 480 e
-
, for all CDS gains)
Cross-talk at lower thresholds and from other architectures
 (
e.g.
 shared biases)
 
The future of MÖNCH
 
15
 
Contact
:
 julian.heymes@psi.ch
 
PSD Detectors group
PSD Detectors group
Back
: Jiaguo Zhang, Aldo Mozzanica,
Thomas King, Davide Mezza,
Anna Bergamaschi, Julian Heymes
Middle
: Erik Fröjdh, Carlos Lopez,
Martin Brückner, Christian Ruder,
Bernd Schmitt, Konstantinos Moustakas,
Dominic Greiffenberg
Front
: Viktoria Hinger, Dhanya Thattil,
Roberto Dinapoli, Shqipe Hasanaj,
Maria Carulla, Simon Ebner
 
Missing
: Rebecca Barten, Pawel Kozlowski,
Filippo Baruffaldi, Xiangyu Xie, Kirsty Paton
 
 
V. Hinger and K. A. Paton have received funding from
MSCA PSI-FELLOW-III-3i (EU grant agreement No. 884104)
 
Thank you for your attention
 
16
 
Backup
 
 
17
 
High resolution imaging: 
in-situ 
mouse lung tomography
 
18
 
MÖNCH0.3 - 22 keV @ SYRMEP, Elettra (Trieste, Italy)
Direct conversion: lower dose for similar image quality as with CCDs or CMOS (with converters)
 25 µm pitch good enough for imaging with direct conversion
Christian Dullin et al., 
J. Synchrotron Rad. (2018). 25, 565–569
Application of the interpolation with MÖNCH03
19
Native resolution
(25 
µm)
 
Interpolated to
1 
µm bins
25 µm
7 µm
Eiger
Mönch
Jungfrau
2 
µ
m gold on 200 
µ
m silicon sample f
abricated at LMN
Measurement with 10 keV photons at TOMCAT
S. Chiriotti, “
High-spatial resolution measurements with GaAs sensor with the charge integrating MÖNCH detector”, 
IWoRiD 2021
 
Interpolated to
5 
µm bins
(GaAs:Cr)
Noise r.m.s. results – highest gain available
20
 
SHG min filter
SHG min
SHG
“MÖNCH03”
LG185
 
18.07 e-
 
19.55 e-
 
20.69 e-
 
30.64 e-
 
31.01 e-
1 µs exposure time
1 kHz readout rate
 
65.4 eV
 
70.8 eV
 
74.9 eV
 
110.9 eV
 
112.3 eV
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Technologies and advancements in pixel detector development for photon science applications are showcased in this content. Topics discussed include balancing gain and dynamic range in hybrid pixel detectors, performance assessments of integrating pixel detectors, and strategies for photon detection in various experimental setups. The content also explores the utilization of charge sharing for enhanced spatial and energy resolution in pixel detectors, catering to diverse photon science experiments. Overall, these innovations aim to improve imaging capabilities, increase sensitivity for single photon detection, and support high-flux experiments in photon science research.

  • Pixel Detector Technology
  • Photon Science
  • Hybrid Pixel Detectors
  • Charge Sharing
  • Photon Detection

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  1. WIR SCHAFFEN WISSEN HEUTE FR MORGEN Julian Heymes :: Post-Doc :: PSD Detectors group :: Paul Scherrer Institut Balancing gain and dynamic range in a 25 m pitch hybrid pixel detector 24thInternational Workshops on Radiation Imaging Detectors :: 28.06.2023 :: Oslo, Norway

  2. The MNCH timeline M NCH0.1 6 Test structures on JUNGFRAU0.1 Technology performance assessment Base design choices 2012 Micropixel with enhanced pOsition rEsolution usiNg CHarge integration JUNGFRAU0.1 M NCH0.2 Full active chip (160 x 160 pixels) 5 pixel architectures (25 m pitch) Area: 4 x 4 mm Charge integrating Small pixel spatial resolution, limited area Analogue readout low noise, lower dark current, high 2012 Technology: UMC 110 nm Standard sensor: 300-320 m thick n-type silicon Typical sensor bias: 200 V Data rate @ 1 kHz/1 cm2: 1.152 TB/hour M NCH0.3 400 x 400 pixels, 25 m pitch 1 cm Implementation of the best M NCH0.2 pixel design (Noise 31 e-RMS) Spatial resolution (interpolated): 1-4 m Also operated with high-Z sensors and LGADs 2014 Today Possible applications using M NCH: (In-vivo) tomography, Resonant Inelastic X-ray Scattering (RIXS), Fourier ptychography, High- resolution imaging, colour imaging, electron microscopy, (Laue diffraction), M NCH0.4 400 x 400 pixels, 25 m pitch 1 cm 19 pixel designs with static and dynamic gain High testability of architectures and components 2018 Today More about detectors for RIXS: Viktoria Hinger s talk (27.06 @ 14:00) 1

  3. A versatile integrating pixel detector for photon science Photon starved experiments with X-ray tubes or at synchrotron beamlines Static gain with low noise for single photon detection (low occupancy 1 %) Fast frame rates (> 1 kHz) with large duty cycles (exposure time frame time) High flux experiments at bright synchrotron beamlines A. B. Static gain with large dynamic range to integrate photons Dynamic gain switching to detect single photons with low noise and integrate larger signals Fast frame rates (> 1 kHz) with large duty cycles (exposure time frame time) Experiments at X-ray Free Electron Lasers Dynamic gain switching to detect single photons with low noise and integrate larger signals Shorter exposure times (~10 s) with readout between bunches (SwissFEL: 100 Hz repetition rate) 2

  4. Using charge sharing Cluster size depends on photon energy, sensor material, sensor bias, sensor thickness Charge sharing Low resolution Analogue High resolution Digital Spatial resolution with interpolation Energy resolution from clustering Charge sharing region in 320 m Si at 120 V 15-20 m Increasing the SNR: low noise and/or hard X-rays Subpixel interpolation with function-based algorithms Examples using Jungfrau with strixels in V. Hinger s presentation Retrieved analogue value in cluster proportional to the detected charge (i.e. photon energy) Preservation of the spectral information Isolated photons required (~1 % occupancy) Fast frame rates and low flux 3

  5. High resolution energy resolved (colour) imaging M NCH0.3 - Siemens Star with spokes 60-0.5 m gold on silicon with silicon microspheres W-anode X-ray tube (40 kV, 200 A) Interpolated to 1 m bins 2x2 cluster spectrum Low flux required for single photon detection Native resolution Full spectrum Native resolution Below Au L-edge Images can be binned in energy Color imaging works also in combination with interpolation. A full spectrum with an energy resolution of about 750 eV FWHM is acquired for each pixel Below the L-edge gold becomes transparent to X-rays Challenges due to polychromatic beam. 4 A Bergamaschi et al., Hybrid Detectors for High Resolution Imaging., Microscopy and Microanalysis, Volume 24, Issue S2, 1 August 2018, Pages 316 319

  6. Application of the interpolation with MNCH0.3 M nch Eiger Jungfrau 2 m gold on 200 m silicon sample fabricated at LXN, PSI Measurement with 10 keV photons at TOMCAT Low flux for single photon detection Native resolution (25 m) 7 m Interpolated to 1 m bins 25 m Also demonstrated with GaAs* More about GaAs at PSI: Kirsty Paton s poster (28.06) 5 *S. Chiriotti, High-spatial resolution measurements with GaAs sensor with the charge integrating M NCH detector , IWoRiD 2021

  7. Benefits of noise reduction Charge sharing Detection level ( Noise) Low resolution Analogue High resolution Digital Low energy detection Reduction of the detection limit: detection of low energy photons even with charge sharing to apply interpolation algorithms Energy resolution from clustering Improvement of the energy resolution Colour imaging 6

  8. MNCH0.4 400 x 400 pixels, 25 m pitch, 1 x 1 cm Designed in UMC110 19 Different pixel variants Analogue readout up to 1.2 kHz 14bit ADC on board (CTB) THR CSA CDS Storage Cells Readout Test structures Overvoltage regulator Dynamic Gain Switching OVERVOLTAGE REGULATOR ResCDS _RES RESET RESET CDS RESET CDS RESET Dsg3 Gain CDS 2 Gain CDS 2 Gain CSA BUSCONNECT _BUSCONNECT ROWSEL READ gHG CCDSg2 Gain CSA CLG CCDSg1 outSFP CHG vdda Gain CDS 1 Gain CDS 1 BUSCONNECT _BUSCONNECT vdda STORE STORE READ READ vIPRECDS CDS CDS CSA CSA 2 3 4 5 1 IN IN Dsg1 CCDSin2 STO0 IN BYPASS CDS CDS BYPASS connCDS CCDSin1 CPULSE vssa PRECHARGE STORAGE STORAGE PRECHARGE bypassCDS PULSE PULSE vIPRE vssa Pulse OFF ENprechPre VprechPre 1 2 3 4 5 STO1 HG / LG vPULSE vssa CSTO1 G1/G2/G4 ROWSEL BYPASS HG / SLG Test structures in pixel SHG / LG STO2 G2/G4/G8 CSTO2 Static gains Alternative readout Debugging architectures SHG No test structure G2/G4/G8 + FILTER Source follower Dynamic Gain Switching 7

  9. Noise results (static gains) highest gains available 19.55 e- 31.01 e- 30.64 e- 20.69 e- 18.07 e- 1 1 s exposure time 1 kHz readout rate 5 3 4 2 1 2 3 4 5 HG / LG G1/G2/G4 Test structures in pixel HG / SLG SHG / LG G2/G4/G8 No test structure SHG G2/G4/G8 + FILTER 8

  10. Spectral response to Fe fluorescence (2x2 clusters) 1 2 3 4 5 LGAD REGION 1 2 3 4 5 HG / LG G1/G2/G4 Test structures in pixel HG / SLG SHG / LG G2/G4/G8 No test structure SHG G2/G4/G8 + FILTER More about LGADs: Jiaguo Zhang s poster (28.06) Per pixel calibration of M NCH: Erik Fr jdh s poster (26.06) 9

  11. Linearity (Energy calibration with 2x2 clusters) Gain difference between SHG and SHG min due to parasitics 1 2 3 4 5 1 2 3 4 5 HG / LG G1/G2/G4 Test structures in pixel HG / SLG SHG / LG G2/G4/G8 No test structure SHG G2/G4/G8 + FILTER 10

  12. Dynamic range (static gains) Larger errors at high signals due to non-linearities (under investigation) 1 Measurement method Dynamic range 1) Red laser focused in one pixel of an etched device 2) Intensity modulated by pulsing the laser N times (N=[0;100], period=100 ns) during the exposure (10 s) 3) ND filter applied to tune saturation before maximum number of pulses 4) Signal in central pixel converted to charge from X-ray calibration data Gain 11

  13. Balance of noise and dynamic range (static gains) Noise [e-] / Dynamic range [12 keV photons] 2 LG-G1 LG-G2 LG-G4 HG-G1 HG-G2 HG-G4 1 3 4 5 1 2 M03VM04 176/78 175/41 164/21 70/16 50/9.2 34/5.2 LG185BigNcap 181/162 184/100 212/69 70/17 52/10 37/5.5 LG-G2 LG-G4 LG-G8 SHG-G2 SHG-G4 SHG-G8 3 SHG 174/39.5 158/27 125/12.5 35.5/6.5 30/4 21.6/2.2 SHG-G2 SHG-G4 SHG-G8 SHG-G2 SHG-G4 SHG-G8 4 5 SHG min 32.6/6 28.6/3.5 20.5/2 32.8/6 28/3.2 20.1/1.9 SHG min filt 30.5/6.3 26.18/3.7 19.3/2.1 30.5/6.2 25.1/3.7 18.9/2.1 Low Gain 1 2 3 4 5 HG / LG G1/G2/G4 Test structures in pixel HG / SLG SHG / LG G2/G4/G8 No test structure SHG G2/G4/G8 + FILTER 12

  14. DGS architectures overview (for high-intensity applications) OVERVOLTAGE REGULATOR PSI WEST THR SLS PSI EAST RESET CDS RESET Gain CDS 2 Gain CSA Gain CDS 1 STORE READ CSA CDS IN BYPASS CDS PRECHARGE STORAGE PULSE Main requirements At FELs: Shorter exposure times (~10 s) with readout between bunches (SwissFEL: 100 Hz repetition rate) At Synchrotrons: Fast frame rates (> 1 kHz) with large duty cycles (exposure time frame time) Must handle very large signals from several (hundreds of) photons impinging during exposure while maintaining single photon resolution Dynamic gain switching + overvoltage protection Challenges with DGS in small pixels Very limited area (1/9thJUNGFRAU) Only two preamp gains available (3 in JUNGFRAU), no burst mode Current must be reduced to a minimum while keeping speed for efficient DGS Architecture with higher noise, but needs to be kept under control 13

  15. DGS in 25 m pixel, it works - (DGS 3 G1) Scan of intensity by changing ND filters Single pixel. Average of 100 frames DAC value = Threshold Dynamic gain switching implemented in the 25 m pitch. Architectures inherently noisier than with static gain Baseline of both gains well aligned. CDS gain limited to G1 for larger DR at HG without saturation Low gain noise after switching equivalent to noise with low gain forced (around 480 e-, for all CDS gains) Cross-talk at lower thresholds and from other architectures (e.g. shared biases) 14

  16. The future of MNCH M NCH0.5, a short term intermediate prototype Design starting end of 2023 for an early 2024 MPW run Image area: 4 x 4 mm2, 160 x 160 pixels (M NCH0.2 format) Implementation of an optimised pixel design, and improvements from Jungfrau s developments Pixel validation with in-lab characterisations and pilot experiments at beamlines 1-side butted M NCH1.0 2.56 x 3.84 cm2 M NCH1.0, a full-scale small pixel pitch HPD Planned submission in 2025 and single chip module in 2026 Image area: Up to 3 x 2 cm2(single chip). Example: 2.56 x 1.92 cm2 (1024 x 768 pixels) Implementation of on-chip ADCs and DACs + improvements from other developments M NCH1.0 2.56 x 1.92 cm2 Open questions: Implementation of Dynamic Gain Switching? N-sides buttability? (Example of a 1-side buttable sensor) Sensors M0.3/M0.4 1 x 1 cm2 Open challenges: Power distribution over a large area + power consumption (high density + readout rate) Massive data rates and volumes. For 1024 x 768 pixels: - At 1 kHz: 1.58 GB/s (5.67 TB/hour) - At 10 kHz: 15.8 GB/s (57.6 TB/hour) Software for on-line data processing (+ AI ?) Hits and clusters extraction See Xiangyu Xie s talk about deep-learning for EM (28.06 @ 09:00) M0.2/M0.5 4 x 4 mm2 15

  17. Thank you for your attention Contact: julian.heymes@psi.ch PSD Detectors group Back: Jiaguo Zhang, Aldo Mozzanica, Thomas King, Davide Mezza, Anna Bergamaschi, Julian Heymes Middle: Erik Fr jdh, Carlos Lopez, Martin Br ckner, Christian Ruder, Bernd Schmitt, Konstantinos Moustakas, Dominic Greiffenberg Front: Viktoria Hinger, Dhanya Thattil, Roberto Dinapoli, Shqipe Hasanaj, Maria Carulla, Simon Ebner Missing: Rebecca Barten, Pawel Kozlowski, Filippo Baruffaldi, Xiangyu Xie, Kirsty Paton V. Hinger and K. A. Paton have received funding from MSCA PSI-FELLOW-III-3i (EU grant agreement No. 884104) 16

  18. Backup 17

  19. High resolution imaging: in-situ mouse lung tomography M NCH0.3 - 22 keV @ SYRMEP, Elettra (Trieste, Italy) Direct conversion: lower dose for similar image quality as with CCDs or CMOS (with converters) 25 m pitch good enough for imaging with direct conversion Christian Dullin et al., J. Synchrotron Rad. (2018). 25, 565 569 18

  20. Application of the interpolation with MNCH03 M nch Eiger Jungfrau 2 m gold on 200 m silicon sample fabricated at LMN Measurement with 10 keV photons at TOMCAT Native resolution (25 m) 7 m Interpolated to 1 m bins 5 m bins (GaAs:Cr) Interpolated to 25 m S. Chiriotti, High-spatial resolution measurements with GaAs sensor with the charge integrating M NCH detector , IWoRiD 2021 19

  21. Noise r.m.s. results highest gain available 19.55 e- 70.8 eV 31.01 e- 112.3 eV 30.64 e- 110.9 eV 20.69 e- 74.9 eV 18.07 e- 65.4 eV SHG min M NCH03 LG185 SHG min filter SHG 1 s exposure time 1 kHz readout rate 20

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