SCE Map Update: Data-Driven Spatial and E Field Maps Michael - - PowerPoint PPT Presentation

sce map update data driven spatial and e field maps
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SCE Map Update: Data-Driven Spatial and E Field Maps Michael - - PowerPoint PPT Presentation

SCE Map Update: Data-Driven Spatial and E Field Maps Michael Mooney, Hannah Rogers Colorado State University ProtoDUNE Sim/Reco Meeting April 10 th , 2019 1 First Data-Driven Maps First Data-Driven Maps Brief presentation on data-driven


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SCE Map Update: Data-Driven Spatial and E Field Maps

Michael Mooney, Hannah Rogers

Colorado State University

ProtoDUNE Sim/Reco Meeting April 10th, 2019

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First Data-Driven Maps First Data-Driven Maps

♦ Brief presentation on data-driven SCE maps, which we finally have in hand (and validated with “by eye” inspection)

  • Includes both spatial distortion maps and E field maps

♦ Methodology:

  • Use spatial offset maps at boundaries, calculated for both data and

MC, and form “scale factor map” for each face

  • Interpolate scale factors across entire detector to get data/MC

scale factor for each 3D voxel; apply scale factor to MC map (no flow for now, but can do both with and without flow and compare)

  • Obtain forward displacement map everywhere this way; use

tetrahedral interpolation to obtain backward map on grid

  • Use backward displacement map to obtain E field everywhere (see

slide 4)

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Spatial Offsets at TPC Faces Spatial Offsets at TPC Faces

♦ Reminder: we have long had our spatial displacement maps at TPC faces (in direction orthogonal to face)

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E Field Calculation E Field Calculation

♦ E field calculation methodology developed by University of Bern – Mike M. made own implementation ♦ Above figure from forthcoming public note on laser-based SCE analysis at MicroBooNE ♦ Calculate drift velocity use v(E) curve to get local E field →

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E Field Calculation E Field Calculation

♦ E field calculation methodology developed by University of Bern – Mike M. made own implementation ♦ Above figure from forthcoming public note on laser-based SCE analysis at MicroBooNE ♦ Calculate drift velocity use v(E) curve to get local E field →

True E Field

  • Calc. E Field
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Forward Displacement Maps Forward Displacement Maps

MC (No Flow) Data

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Forward Displacement Maps Forward Displacement Maps

MC (No Flow) Data

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Backward Displacement Maps Backward Displacement Maps

MC (No Flow) Data

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Backward Displacement Maps Backward Displacement Maps

MC (No Flow) Data

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E Field Maps E Field Maps

MC (No Flow) Data

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E Field Maps E Field Maps

MC (No Flow) Data

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E Field Maps E Field Maps

MC (No Flow) Data

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Summary Summary

♦ First full data-driven SCE maps available, which includes:

  • Forward displacement maps (simulation)
  • Backward displacement maps (reconstruction)
  • Electric field maps (simulation/reconstruction)

♦ This was done by interpolating results at TPC boundaries

  • Will spend more time investigating method of using pairs of

crossing tracks to do true 3D correction in bulk – does it help?

  • Data can tell us which is performing best (dE/dx resolution,

data/MC comparison of track angles/lengths)

♦ Would be nice to produce new MC with new SCE simulation

  • Also include Hannah’s SCE calibration in reconstruction chain,

which targets dE/dx of t0-tagged tracks (beam and cosmics)

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