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The CMS Tracking Readout and Front End Driver Testing

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Presentation on theme: "The CMS Tracking Readout and Front End Driver Testing"— Presentation transcript:

1 The CMS Tracking Readout and Front End Driver Testing
* 07/16/96 The CMS Tracking Readout and Front End Driver Testing Matthew Pearson RAL * Matthew Pearson 15/04/2019

2 Matthew Pearson 15/04/2019

3 Inside the CMS Tracker Inner Barrel + Disks End-caps 2,4 m 5.4 m
Outer Barrel Inner Barrel + Disks 2,4 m End-caps Matthew Pearson 15/04/2019

4 Tracking Parameters Pixel Detector: 3 barrel layers + 2 end cap disks
4cm, 7cm and 10cm in r cm, 47cm in z 2 hit acceptance up to rapidity=2.2 ~44M channels Silicon Strip Detector: 4 inner / 6 outer barrel layers + 3 inner / 9 forward end cap disks Up to rapidity=2.4 acceptance ~10M channels Channel occupancy is ~1-3% Matthew Pearson 15/04/2019

5 Z view of silicon tracker
Matthew Pearson 15/04/2019

6 The Readout Chain in Pictures
L1 trigger 40 MHz 100 kHz Yes/No Highlevel trigger (computer farm) CMS 3.2 ms buffer 1 s buffer 100 Hz 1 MB/event The Trigger and Data Acquisition System selects interesting events, and reduces the data rate so we can write to mass storage (~100MB/s). Mass Storage. Matthew Pearson 15/04/2019

7 Si Strip Readout Components
The APV reads out the Si strips. The Front End Controller controls the APV chips and provides them with L1 triggers and a clock. Data passed by L1 is sent to the Front End Drivers, which perform data reduction. The FED passes data to the DAQ and the High level Trigger. Matthew Pearson 15/04/2019

8 Si Strip Readout Components 2
APV chip: Each APV chip reads pulse height data from 128 silicon strips. They amplify and buffer the data for 3.2ms. On a L1 trigger accept, the data is passed to… Front End Driver (FED): Each FED reads 192 APVs, digitizes signal and FPGA performs data reduction/processing. The data is transmitted at ~40MHz along an S-LINK64 to the DAQ event builder (up to ~320MB/s per FED). Matthew Pearson 15/04/2019

9 The Front End Driver (FED)
Opto- Rx Zero Suppression FGPA ADC 96 optical input channels Event Builder FPGA DAQ 12 VME 96-channel final FED Digitize and zero suppress data. FPGA chips give flexibility. 9U-VME modularity. Processes 25k silicon strips. Designed by physicists and engineers at RAL and IC. Both are still involved in testing the FED. Matthew Pearson 15/04/2019

10 The FED Data Processing
The FED takes analogue optical signals from the APV… 96 10-bit ADCs Delay FPGAs (to take into account differences in fibre length) Front End FPGA: Subtract strip dependant pedestal Re-ordering of signals in strip order Calculate and subtract the common mode noise Zero suppress the data Send ‘event’ to back-end FPGA and S-LINK64 Can check if FED is working as we expect during a run by using the spy channel -> read out raw data over VME and compare to zero suppressed data. Matthew Pearson 15/04/2019

11 FED Photo and Operational Modes
FED Modes: Zero Suppression Normal mode. Used for pp and light ion collisions. Processed raw data No zero suppression or CM subtraction. Used for heavy ion collisions. Raw data As above, but no reordering or pedestal subtraction. Used for testing and calibration. Matthew Pearson 15/04/2019

12 FED Status and Testing At RAL and IC we have 2 final design FEDs
Currently in the testing process (see below) Aim to have 2 more made this year (to distribute to different tracker subgroups for test-beam work etc.) Produce 10 more in 2004 (with any revisions) Full production starts in 2005 Testing: Currently testing 2 FEDs at RAL and IC Complex board  will take at least 9 months. But is ongoing in terms of firmware. Electrical, digital and optical testing Matthew Pearson 15/04/2019

13 Optical test setup ….still very much in progress! Matthew Pearson
15/04/2019

14 FED test setup Matthew Pearson 15/04/2019

15 Summary The FED is on schedule and is passing all tests.
The bulk of future work will involve: FED on-line software (design and testing) At the moment we are organizing who does what and when… Verifying FPGA algorithms Making sure FED responds well to CMS-like data. Matthew Pearson 15/04/2019


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