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Optimizing RoI Occupancies: Strategies for Effective Data Management

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11 diapositives · 249 Views · Aug 23, 2014

This presentation discusses the limitations and strategies for managing Region of Interest (RoI) occupancies in Detector Systems. It outlines how to establish upper limits for useful RoIs based on CPM and CMM bandwidth restrictions. Methods explored include reducing the number of RoIs, changing data content, and estimating realistic RoI occupancies through random signal generation. Various schemes for optimizing RoI data volume while retaining important information are presented, along with real-world data comparisons and conclusions on enhancing detector efficiency.

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  1. RoI Occupancies An attempt to put an upper limit on useful RoIs in any region RoI occupancies

  2. Motivation: CP RoIs • Well established fact: CPM-CMM backplane bandwidth limitation: • 16 RoIs per CPM, 16 data bits per RoI = 256 bits • Two times CPM-CMM at ~96 bits each = 192 bits • Methods of reducing data: • Reduce number of RoIs • Reduce or change data content • Combination of both of above • This talk addresses only option 1. • Several possibilities: which is less ‘lossy’ RoI occupancies

  3. Maximum RoI occupancies • For a region of n x m towers (or elements) • Absolute RoI limit is ( n x m / 4 ) • From local maximum criteria • Examples: • CP system: 50 x 64, maximum 800 • JEP system: 32 x 32, maximum 256 • CPM: 4 x 16, maximum 16 • JEM: 4 x 8, maximum 8 • CP Chip: 4 x 2, maximum 2 • But the maximum is very difficult to achieve • Can be done with a contrived pattern • Not likely in physics RoI occupancies

  4. Estimating Real Occupancies • Generate random signals over a specified region • Plus the necessary ‘environment’ • Random signals actually provide a realistic upper limit • Adding structure actually reduces RoI occupancy • Well that’s my gut feeling, and I have some evidence • Use standard RoI algorithm • Just look for local maximum • No cut on energy • Again, with real thresholds should obtain fewerRoIs • Count RoIs RoI occupancies

  5. Interesting sub-regions • Aim is to reduce CPM RoI data volume • Consider three RoI reduction options • Sam’s scheme • CP chip (4x2), reduce 2 RoIs to 1 • Half of CPM thresholds to each CP Merger (current layout) • Whole CPM (4x16), reduce 16 RoIs to 10 • Details of format left to reader (10x8 + 16 bits = 96 bits) • Half CPM (all thresholds) to each CP Merger • Left or Right of CPM (2x16), reduce 8 RoIs to 5 • Details of format left to reader (5x16 + 8 bits = 88bits) • Note: not an entirely fair comparison • The second two schemes entirely discard extra RoIs • Sam’s scheme retains some information about extra RoI • Final option requires small change to CP chip (others don’t) RoI occupancies

  6. How they compare RoI occupancies CP chip (4x2) Half-CPM (2x16) JEM (4x8) CPM (4x16) ‘Lost’ RoIs

  7. Let’s see that on a log scale! RoI occupancies CP chip (4x2) Half-CPM (2x16) JEM (4x8) CPM (4x16)

  8. Additional Factors • Proviso: all estimates are probably over-estimates • But at least made with the same model, so comparable • CP chip reduction: 2 RoIs to 1 • Occurs with about 5% frequency • Multiplied by 384 instances in CP system • Half-CPM reduction: 6+ RoIs to 5 • Occurs with about 0.1% frequency • Multiplied by 100 instances in CP system • Full-CPM reduction: 11+ RoIs to 10 • Occurs with about 0.0005% frequency • Multiplied by 48 instances in CP system • RoI Selection would probably resolve all losses in final option • If possible! • Choose 10 highest energyRoIs, other will be small (probably) • Lowest thresholds will saturate at 7 anyway, so small ones add nothing RoI occupancies

  9. For interest: system sums • JEP system • Theoreticalmax 256 • Realistic max 100 • Average ~75 • CP system • Theoretical max 800 • Realistic max 280 • Average ~230 RoI occupancies

  10. Checking with real events: beam splashes • Like toy Monte-Carlo • Locally random • All local max form RoI (big energies) • Most of detector lit up • Good timing for ~75% of detector • Unlike toy Monte-Carlo • Contains structure • Famous 8-fold energy deposition • Random model would give: • ~170 CP RoIs, ~55 JEP RoIs • Actually get: • ~90 CP RoIs, ~30 JEP RoIs • Confirms: structure reduces RoI count RoI occupancies

  11. Conclusions • Probably an obvious conclusion • Increasing size of region considered reduces RoI loss • But still useful to put hard numbers on it • My preferred solution for standard 16 thresholds: • Keep CP chip as it is • Output 10 RoIs (plus RoI map) per CP merger chip • Ideally uses all 96 bits, but tricks are possible • Information/RoI loss is probablynegligible RoI occupancies