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SCIPP R

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Schumm is lead convener of North American Tracking Working Group ... Comparator S Curves. Vary threshold for given input charge. Read out system with FPG-based DAQ ... – PowerPoint PPT presentation

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Title: SCIPP R


1
SCIPP RD on the International Linear Collider
Detector
DOE Site Visit June 8, 2006 Presenter Bruce
Schumm
2
Summary of Activities
  • RD Activity is increasing, with studies now on a
    number of fronts
  • Physics/machine studies for e-e- running (see
    Heusch)
  • Billior-based calculation of tracking errors
  • Detector resolution standards from physics
    simulation
  • Reconstruction capabilities of all-silicon
    tracking
  • Hardware proof-of-principle of low-noise silicon
    strip readout

3
  • Current Involvements (all part time)
  • 4 senior physicists
  • 1 post-doc (looking for a second)
  • 8 undergraduate students (major contribution)
  • 1 engineer and 2 technical staff
  • 1 bored spouse of a Silicon Valley engineer.

Leadership Roles Heusch is member of
International Cooperation Committee Schumm is
lead convener of North American Tracking Working
Group
4
Detector Resolution Standards from Selectron
Production
Participants Senior Physicist Bruce
Schumm Undergraduate Thesis Students Sharon
Gerbode, Heath Holguin, Troy Lau, Paul Moser,
Adam Perlstein, Joseph Rose, Matthew
Vegas Community Member (on hold before Grad
School) Ayelet Lorberbaum Recipient of two
Undergraduate Research Awards grad school at U.
Michigan.
5
Motivation To explore the effects of limited
detector resolution on our ability to measure
SUSY parameters in the forward region.
SiD Tracker
6
Selectrons vs. cos(?)
SPS1A at 1 TeV
Roughly ½ of statistics above cos(?) of 0.8,
but
Electrons vs. cos(?)
7
The spectrum is weighted towards higher energy at
high cos(?), so theres more information in the
forward region than one might expect.
8
Determine the selectron mass accuracy in both the
central (0 lt cos? lt .8) and full (0 lt cos? lt
1) region
9
Ongoing work Fitting simulaneously for
selectron and gaugino (?0) masses at Ecm 500
GeV This is an ILC Physics benchmark
process (Schumm, Vegas)
10
Simulation of SiD Tracking System (and SiD
variants)
Participants Senior Physicist Bruce
Schumm Graduate Student Michael Young (Masters
August 2005) Undergraduate Students /
Other Tyler Rice, Lori Stevens, Eric Wallace,
Ayelet Lorberbaum
11
Simulation of SiD Tracking System, continued
Three areas of work Fast MC Simulation Billior-
based LCDTRK.f (B. Schumm) provides covariance
matrices for fast MC simulation and resolution
plots. SiD Tracking Capabilities Explore
tracking performance of SiD tracker and
variants Microstrip Pulse Development
Simulation Provides simulation of pulse
development and amplification for designing and
detector layout
12
LCDTRK.f comparison of SiD options with TESLA
(LDC) design, from Snowmass 2005
13
Pattern Recognition Capabilities of an
All-Silicon Central Tracker
Can one do pattern recognition with only five
central tracking layers? Might more layers
improve performance to an extent that justifies
the extra material?
SiD Tracker
Current code VXDBasedReco Nick Sinev, Oregon
14
EFFICIENCIES FOR QQBAR EVENTS
Doesnt look that spectacular what might be
going on here?
15
Of course! The requirement of a VXD stub means
that you miss anything that originates beyond r
3cm. This is about 5 of all tracks.
With current VXDBasedReco algorithm, we wont
get the 5 of tracks that originate beyond 2cm.
16
Outside-in Tracking (Eric Wallace)
Circle-fit tracker (Tim Nelson, SLAC) developed
at Snowmass, makes use only of central tracker
information Eric has merged this with
VXDBasedReco to provide efficiency for non-prompt
tracks
Remaining tracks found with 80 efficiency
All remaining tracks
Found
Not found
Radial Origin (mm)
Essential tool for SiD tracker optimization.
17
CURVATURE ERROR vs. CURVATURE
Michael Young, Eric Wallace
Standard (Original) Code
18
Ongoing Track Reconstruction Work
  • Primary focus of new crop of undergrad thesis
    students (plus Ayelet Lorberbaum)
  • Expand Erics work to get polished
    combined-algorithm tracking code
  • Explore other tracking algorithms (GARFIELD
    calorimeter-stub extender Kansas State, Kalman
    filter code SLAC, Colorado)
  • Begin to optimize SiD geometry (number of
    layers, layer spacing, tracker radius)

19
The SCIPP/UCSC ILC HARDWARE GROUP
Faculty/Senior Vitaliy Fadeyev Alex Grillo Bruce
Schumm Abe Seiden
Post-Docs Jurgen Kroseberg Active Search
Students Greg Horn Glenn Gray Bryan Matsuo
(Comp.Sci.)
Lead Engineer Ned Spencer Technical Staff Max
Wilder, Forest Martinez-McKinney
Primary Goal Overall proof-of-principle in 2008
test beam run
20
Silicon Microstrip Readout RD
  • Initial Motivation
  • Exploit long shaping time (low noise) and power
    cycling to
  • Remove electronics and cabling from active area
    (long ladders)
  • Eliminate need for active cooling

SiD Tracker
21
The Gossamer Tracker
  • Ideas
  • Low noise readout ? Long ladders ? substantially
    limit electronics readout and support
  • Thin inner detector layers
  • Exploit duty cycle ? eliminate need for active
    cooling

Competitive with gaseous tracking over full range
of momentum (also forward region)
Alternative shorter ladders, but better point
resolution
22
Pulse Development Simulation
Christian Flacco Michael Young (Grads) John
Mikelich (Undergrad)
Long Shaping-Time Limit strip sees signal if and
only if hole is collected onto strip (no
electrostatic coupling to neighboring strips)
Include Landau deposition (SSSimSide Gerry
Lynch LBNL), variable geometry, Lorentz angle,
carrier diffusion, electronic noise and
digitization effects
23
Result S/N for 167cm Ladder
Simulation suggests that long-ladder operation is
feasible
24
The LSTFE-2 ASIC
Process TSMC 0.25 ?m CMOS
3 ?s shaping time analog readout it
Time-Over-Thres-hold with 400 nsec clock
25

128 mip
1 mip
Operating point threshold
Readout threshold
1/4 mip
26
Electronics Simulation
Detector Noise From SPICE simulation,
normalized to bench tests with GLAST electronics
Analog Measurement Employs
time-over-threshold with variable clock speed
lookup table provides conversions back into
analog pulse height (as for actual data)
RMS
Gaussian Fit
Essential tool for design of front-end ASIC
Detector Resolution (units of 10?m)
27
INITIAL RESULTS
LSTFE-2 chip mounted on readout board
FPGA-based control and data-acquisition system
28
Data Plots Greg Horn
0.80 fC
0.46 fC
Comparator S Curves Vary threshold for given
input charge Read out system with FPG-based
DAQ Get 1-erf(threshold) with 50 point
giving response, and width giving noise
1.42 fC
1.11 fC
1.73 fC
2.04 fC
29
Data Plots Greg Horn
Current Results Gain and Noise (Load 150
pF, or about a 115 cm detector) Result 5300
electrons noise Expectation 1400 electrons
noise Picoprobe studies isolate problem to
shaper stage Power Cycling Switch-on time
20-40 msec gives 10-20 duty cycle (want 1-2)
Development of next version of LSTFE chip
underway
30
DIGITAL ARCHITECTURE FPGA DEVELOPMENT
Digital logic should perform basic zero
suppression (intrinsic data rate for entire
tracker would be approximately 50 GHz), but must
retain nearest-neighbor information for accurate
centroid.
31
Proposed LSTFE Back-End Architecture
Low Comparator Leading-Edge-Enable Domain
81 Multi-plexing (?clock 50 ns)
FIFO (Leading and trailing transitions)
Event Time
Clock Period ? 400 nsec
32
DIGITAL ARCHITECTURE VERIFICATION
ModelSim package permits realistic simulation of
FPGA code (signal propagation not yet simulated)
Simulate detector background and noise rates for
500 GeV running, as a function of read-out
threshold. Per 128 channel chip 7 kbit per
spill ? 35 kbit/second For entire long
shaping-time tracker 0.5 GHz data rate (x100
data rate suppression)
Nominal Readout Threshold
33
LONG LADDER CONSTRUCTION
34
OVERALL SUMMARY
  • Linear Collider RD at SCIPP is
  • Directly benefiting from SCIPP expertise
  • Focused on central issues for the ILC that are
    applicable to any detector scenario
  • On track for testbeam proof-of-principle in 2008
  • Supporting leadership roles (international
    cooperation, oversight of tracking RD)
  • Providing key educational opportunities,
    undergrad through postdoc, with a good placement
    record
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