for the SPiDeR collaboration (slides from M. Stanitski, Pixel2010)

Slides:



Advertisements
Similar presentations
Monolithic Active Pixel Sensor for aTera-Pixel ECAL at the ILC J.P. Crooks Y. Mikami, O. Miller, V. Rajovic, N.K. Watson, J.A. Wilson University of Birmingham.
Advertisements

TPAC: A 0.18 Micron MAPS for Digital Electromagnetic Calorimetry at the ILC J.A. Ballin b, R.E. Coath c *, J.P. Crooks c, P.D. Dauncey b, A.-M. Magnan.
J.A. Ballin, P.D. Dauncey, A.-M. Magnan, M. Noy
ISIS and SPiDeR Zhige ZHANG STFC Rutherford Appleton Laboratory.
SPIDER Silicon Pixel Detector R&D  Birmingham University (N. Watson, J. Wilson, R. Staley), Bristol University (J. Goldstein, D. Cussans, R. Head, S.
Development of an Active Pixel Sensor Vertex Detector H. Matis, F. Bieser, G. Rai, F. Retiere, S. Wurzel, H. Wieman, E. Yamamato, LBNL S. Kleinfelder,
Adding electronic noise and pedestals to the CALICE simulation LCWS 19 – 23 rd April Catherine Fry (working with D Bowerman) Imperial College London.
First results from the HEPAPS4 Active Pixel Sensor
Jaap Velthuis, University of Bristol SPiDeR SPiDeR (Silicon Pixel Detector Research) at EUDET Telescope Sensor overview with lab results –TPAC –FORTIS.
1 The MAPS ECAL ECFA-2008; Warsaw, 11 th June 2008 John Wilson (University of Birmingham) On behalf of the CALICE MAPS group: J.P.Crooks, M.M.Stanitzki,
Rutherford Appleton Laboratory Particle Physics Department A Novel CMOS Monolithic Active Pixel Sensor with Analog Signal Processing and 100% Fill factor.
Michele Faucci Giannelli TILC09, Tsukuba, 18 April 2009 SiW Electromagnetic Calorimeter Testbeam results.
SPiDeR  First beam test results of the FORTIS sensor FORTIS 4T MAPS Deep PWell Testbeam results CHERWELL Summary J.J. Velthuis.
PASI 2013, 3 rd – 5 th April 2013, RAL 03-Apr-2013Fergus Wilson, STFC/RAL1 UK Silicon Digital Calorimetry.
Development of Advanced MAPS for Scientific Applications
First Results from Cherwell, a CMOS sensor for Particle Physics By James Mylroie-Smith
Jornadas LIP 2008 – Pedro Ramalhete. 17 m hadron absorber vertex region 8 MWPCs 4 trigger hodoscopes toroidal magnet dipole magnet hadron absorber targets.
SPiDeR  SPIDER DECAL SPIDER Digital calorimetry TPAC –Deep Pwell DECAL Future beam tests Wishlist J.J. Velthuis for the.
The MPPC Study for the GLD Calorimeter Readout Introduction Measurement of basic characteristics –Gain, Noise Rate, Cross-talk Measurement of uniformity.
7 Apr 2010Paul Dauncey1 Tech Board: DECAL beam test at DESY, March 2010 Paul Dauncey.
MAPS for a “Tera-Pixel” ECAL at the International Linear Collider J.P. Crooks Y. Mikami, O. Miller, V. Rajovic, N.K. Watson, J.A. Wilson University of.
CEA DSM Irfu 20 th october 2008 EuDet Annual Meeting Marie GELIN on behalf of IRFU – Saclay and IPHC - Strasbourg Zero Suppressed Digital Chip sensor for.
11 Sep 2009Paul Dauncey1 TPAC test beam analysis tasks Paul Dauncey.
Lepton Collider Increased interest in high energy e + e - collider (Japan, CERN, China) STFC funded us for £75k/year travel money in 2015 and 2016 to re-
First tests of CHERWELL, a Monolithic Active Pixel Sensor. A CMOS Image Sensor (CIS) using 180 nm technology James Mylroie-Smith Queen Mary, University.
18 Sep 2008Paul Dauncey1 The UK MAPS/DECAL Project Paul Dauncey for the CALICE-UK MAPS group.
16 Sep 2009Paul Dauncey1 DECAL beam test at CERN Paul Dauncey for the CALICE-UK/SPiDeR groups: Birmingham, Bristol, Imperial, Oxford, RAL.
Pion Showers in Highly Granular Calorimeters Jaroslav Cvach on behalf of the CALICE Collaboration Institute of Physics of the ASCR, Na Slovance 2, CZ -
J. Crooks STFC Rutherford Appleton Laboratory
Shashlyk FE-DAQ requirements Pavel Semenov IHEP, Protvino on behalf of the IHEP PANDA group PANDA FE-DAQ workshop, Bodenmais April 2009.
Apollo Go, NCU Taiwan BES III Luminosity Monitor Apollo Go National Central University, Taiwan September 16, 2002.
UK Activities on pixels. Adrian Bevan 1, Jamie Crooks 2, Andrew Lintern 2, Andy Nichols 2, Marcel Stanitzki 2, Renato Turchetta 2, Fergus Wilson 2. 1 Queen.
Advanced Pixel Architectures for Scientific Image Sensors Rebecca Coath, Jamie Crooks, Adam Godbeer, Matthew Wilson, Renato Turchetta CMOS Sensor Design.
26 Apr 2009Paul Dauncey1 Digital ECAL: Lecture 2 Paul Dauncey Imperial College London.
Radiation hardness of Monolithic Active Pixel Sensors (MAPS)
26 Apr 2009Paul Dauncey1 Digital ECAL: Lecture 3 Paul Dauncey, Imperial College London.
26 Jan 2010Paul Dauncey1 TPAC papers Paul Dauncey.
CMOS MAPS with pixel level sparsification and time stamping capabilities for applications at the ILC Gianluca Traversi 1,2
A MAPS-based readout for a Tera-Pixel electromagnetic calorimeter at the ILC Marcel Stanitzki STFC-Rutherford Appleton Laboratory Y. Mikami, O. Miller,
Custom mechanical sensor support (left and below) allows up to six sensors to be stacked at precise positions relative to each other in beam The e+e- international.
CMOS Sensors WP1-3 PPRP meeting 29 Oct 2008, Armagh.
-1-CERN (11/24/2010)P. Valerio Noise performances of MAPS and Hybrid Detector technology Pierpaolo Valerio.
Progress with GaAs Pixel Detectors K.M.Smith University of Glasgow Acknowledgements: RD8 & RD19 (CERN Detector R.&D. collaboration) XIMAGE (Aixtron, I.M.C.,
Monolithic and Vertically Integrated Pixel Detectors, CERN, 25 th November 2008 CMOS Monolithic Active Pixel Sensors R. Turchetta CMOS Sensor Design Group.
5 May 2006Paul Dauncey1 The ILC, CALICE and the ECAL Paul Dauncey Imperial College London.
18 Sep 2008Paul Dauncey 1 DECAL: Motivation Hence, number of charged particles is an intrinsically better measure than the energy deposited Clearest with.
Front-end Electronic for the CALICE ECAL Physic Prototype Christophe de La Taille Julien Fleury Gisèle Martin-Chassard Front-end Electronic for the CALICE.
9 Sep 2008Paul Dauncey1 MAPS/DECAL Status Paul Dauncey for the CALICE-UK MAPS group.
Comparison of a CCD and the Vanilla CMOS APS for Soft X-ray Diffraction Graeme Stewart a, R. Bates a, A. Blue a, A. Clark c, S. Dhesi b, D. Maneuski a,
Study of the MPPC for the GLD Calorimeter Readout Satoru Uozumi (Shinshu University) for the GLD Calorimeter Group Kobe Introduction Performance.
Pixel Sensors for the Mu3e Detector Dirk Wiedner on behalf of Mu3e February Dirk Wiedner PSI 2/15.
Presented by Renato Turchetta CCLRC - RAL 7 th International Conference on Position Sensitive Detectors – PSD7 Liverpool (UK), September 2005 R&D.
Andrei Nomerotski 1 Andrei Nomerotski, University of Oxford for LCFI collaboration LCWS2008, 17 November 2008 Column Parallel CCD and Raw Charge Storage.
Advanced Monolithic Active Pixel Sensors with full CMOS capability for tracking, vertexing and calorimetry Marcel Stanitzki STFC-Rutherford Appleton Laboratory.
SPiDeR  Status of SPIDER Status/Funding Sensor overview with first results –TPAC –FORTIS –CHERWELL Beam test 09 Future.
Andrei Nomerotski 1 Andrei Nomerotski, University of Oxford Ringberg Workshop, 8 April 2008 Pixels with Internal Storage: ISIS by LCFI.
Progress with GaAs Pixel Detectors
Analysis of LumiCal data from the 2010 testbeam
CEPC 数字强子量能器读出电子学预研进展
Resolution Studies of the CMS ECAL in the 2003 Test Beam
Update on DECAL studies for future experiments
First Testbeam results
Rita De Masi IPHC-Strasbourg on behalf of the IPHC-IRFU collaboration
The Pixel Hybrid Photon Detectors of the LHCb RICH
DECAL beam test at CERN Paul Dauncey for the CALICE-UK/SPiDeR groups:
Rick Salcido Northern Illinois University For CALICE Collaboration
A new family of pixel detectors for high frame rate X-ray applications Roberto Dinapoli†, Anna Bergamaschi, Beat Henrich, Roland Horisberger, Ian Johnson,
R&D of CMOS pixel Shandong University
The MPPC Study for the GLD Calorimeter Readout
Presentation transcript:

for the SPiDeR collaboration (slides from M. Stanitski, Pixel2010) Beam Test Report 2010: FORTIS TPAC David Cussans University of Bristol for the SPiDeR collaboration (slides from M. Stanitski, Pixel2010) (Plus Eμ proposal)

Introduction SPiDeR = Silicon Pixel Detector R&D UK-centered Collaboration generic CMOS Pixel R&D for future Colliders Birmingham, Bristol, Imperial College, Oxford and RAL recently Queen Mary College joined Develop CMOS Sensors to address requirements for future colliders Granularity Speed Power Material budget

The INMAPS Process

INMAPS features Standard CMOS Process 180 nm 6 metal layers Precision passive components (R/C) Low leakage diodes 5/12/18 µm epitaxial layers Added features for INMAPS Deep p-well High resistivity epitaxial layer 4T structures Stitching

Deep p-well implants Eliminate parasitic charge collection by PMOS Standard CMOS INMAPS Eliminate parasitic charge collection by PMOS Allow full CMOS in-pixel electronics

High resistivity Epi-layers Charge collection by diffusion in epitaxial layer slow radiation-soft INMAPS on high-res Epi Potential benefits Faster charge collection Reduced charge spread Increased Radiation hardness ) Typical resistivity ~ 10-100Ωcm High resistivity ~ 1-10kΩcm

4T Pixels 3T MAPS Readout and charge collection area are the same 4T MAPS Readout and charge collection area are at different points Charge transferred to floating diffusion Benefits Low Noise & in-pixel CDS High Gain 3T 4T STFC Centre for Instrumentation funded Fortis 1.0/1.1 as a technology prototype (see later)

Stitched Sensors Standard CMOS limited to ~ 2.5 x 2.5 cm2 Technique relatively new to CMOS Stitching offered by some foundries Allows wafer-scale sensors Example Sensor LAS (For imaging) Designed at RAL 5.4x5.4 cm2 5.4 cm

Sensors & Results

Sensor Overview Past TODAY Future TPAC 1.0 TPAC 1.1 TPAC 1.2 DECAL Calorimetry FORTIS 1.0 FORTIS 1.1 CHERWELL CHERWELL2 Tracking TPAC for SuperB Vertexing Deep p-well High Res & 4T Stitching INMAPS

The TPAC 1.2 Sensor 8.2 million transistors Sensitive area 79.4 mm2 28224 pixels , 50 x 50 µm Sensitive area 79.4 mm2 of which 11.1% “dead” (logic) Four columns of logic + SRAM Logic columns serve 42 pixels Record hit locations & timestamps Sparsification on chip Data readout Slow (<5Mhz) 30 bit parallel data output Developed for Digital ECAL as Particle Counter

TPAC Architecture Details Trim+ Mask 7 bits PreShaper 4 diodes 1 resistor (4 MΩ) Configuration SRAM & Mask Comparator trim (6 bits) Predicted Performance Gain 94 μV/e Noise 23 e- Power 8.9 μW Deep p-well Circuit N-Wells Diodes

TPAC 1.X Results Using 55Fe sources and IR lasers Using the test pixels (analog output) IR laser shows impact of deep p-well implant Pixel profiles F B

55Fe Spectrum with TPAC 1.2 Using test- pixels with analog out Powerful 55Fe source Take 100k samples per sensor 12 µm No deep p-well 12 µm Deep p-well 12 µm High res 18 µm High res

55Fe Spectrum with TPAC 1.2 55Fe source Deep p-well High -res Separation of Kα and Kβ Hi-res sensor works

Common Testbeam setup EUDET Scintillators Telescope Fortis 1.x TPAC W/Cu/Fe if in CALORIMETER mode

TPAC 1.2 Testbeam at DESY 4 TPAC sensors Tungsten slab Nigel TPAC stack EUDET Telescope

TPAC 1.2 Testbeam Online plots 6 sensors (1 non deep p- well) X-X correlation plot for two layers (back-to-back) Hits in time with Scintillator hits

TPAC Testbeam Results No absorbers Due to use of in-pixel PMOS transistors, standard CMOS sensors have low efficiency Deep P-well shields N- wells and raises efficiency by factor ~5 Adding high-resistivity epitaxial layer makes further improvement with resulting efficiency close to 100% Preliminary

Fortis Test sensor to evaluate 4T for tracking/vertexing Simple readout architecture Analog output 12/13 variants of pixels for Fortis 1.0/1.1 Size of source follower size of the collecting diode Pitch (6- 45 µm) Combined diodes at floating diffusion node Made also on high-res substrate

Results with Fortis 1.x Noise Measurements Most probable noise: 3.6e- Noise Measurements Photon Transfer Curve technique Average noise: 4.5 e- Gain 65 µV/e- 55Fe source: Gain 56 µV/e- Noise 7.7 e- using all pixels Noise (in e-, before board noise correction) Noise histogram Average noise: 4.5e-

Testbeam at CERN Test at CERN SPS in June 2010 120 GeV Pions Taking advantage of EUDET telescope EUDET Telescope Fortis 1.1 on high-res Fortis

First Fortis Test beam results PRELIMINARY PRELIMINARY Standard CMOS C1 variant C variants have 15 µm pitch and different source follower transistor variants

Cont'd Pixel Variants C1-C4 C Variant C Variant PRELIMINARY

Cont'd Pixel Variants C1-C4 Residual to track in “y” direction. Includes effect telescope resolution. PRELIMINARY Pixel Variants C1-C4

eμμ (Emu)

Proposal for eμμ Measurement Muon pair production in electromagnetic showers at TeV has been investigated e.g. V.A.Kudryatsev and O.G.Ryazhskaya. Il Nuovo Cimento C, 21 (1998) 119. Propose to make a measurement at GeV scales Near threshold. Match against G4 cross-sections Will be challenging. Initial simulations indicate a few pairs from one week's running (at most) µ e µ

Proposal for eμμ Measurement Yield @ 5GeV ~ 10-9 muon pairs per 5GeV e- Standard spacing upstream, target, close spacing downstream (acceptance) P peaks at ~100MeV

Fortis Photon transfer curve A photon transfer curve is a plot of the dark-corrected signal obtained from an image sensor against the noise for that signal. It is obtained via one of two methods; an intensity sweep, where the integration time is fixed and the light level/temperature is varied, or via an integration sweep, where the light level/temperature is fixed and the integration time is varied. At least two identical images are required for each step to obtain the PTC and the mean signal and variance are taken from these two frames. The subtraction of the two frames to calculate the variance removes fixed pattern noise, leaving only read noise (which is the noise of interest for an image sensor) and shot noise. Shot noise scales with the square root of the signal, giving a characteristic 0.5 gradient when plotted on a log-log plot, and is the basis of the photon transfer curve. Many parameters can be extracted from a photon transfer curve to give the basic characteristics of an image sensor. The noise is taken from the y-intercept of the graph (i.e. the noise for 0 signal). The gain is taken from the x-intercept of the best t line taken from the plot, which if plotted on a log-log scale, should give the characteristic gradient of 0.5. The linear full well capacity is taken from the peak in the photon transfer curve. This is where the noise begins to reduce as the variation in signal is dampened as no more signal can be collected. The maximum full well capacity is taken as the maximum signal level which is plotted on the graph. If an integration sweep was performed, the dark current can be obtained from the gradient of the dark signal level plotted against the integration time. A result for the PTC [9] from the best pixel variant for FORTIS 1.0 is shown in Figure 6. This pixel had a very low noise of 5.8 e􀀀, and a high conversion gain of 61.4 V/e􀀀, demonstrating the benets of the 4T pixel architect Conversion gain at output: 65.0μV/e- Linear full well capacity: 17,900e- Maximum full well capacity: 27,350e- Linear dynamic range: 4,970 Maximum dynamic range: 7,597