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Babar SVT Geometry Optimization and Sensor Types Discussion

Learn about the structural layers of the Babar Silicon Vertex Tracker (SVT) and the optimization of sensor types. Discuss the necessity and benefits of slant sensors, tracking resolution, and the impact of sensor variations on event reconstruction and triggers.

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Babar SVT Geometry Optimization and Sensor Types Discussion

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  1. Learning from Babar SVT 30 April 2003 Toru Tsuboyama (KEK)

  2. 5 layers • First and second layer forms a super-layer structure. • Third layer is placed slightly away from 1-2 layer. • In 1-3 layers, the overlaps between ladders are much smaller than that of Belle SVD. • Fourth and fifth layers are symmetric in r-f view. • Ladders are narrower than Belle SVD. • 16 and 18 ladders in 4th and 5th layer. • Slant sensors are attached.

  3. Geometry optimization  sensor types. • No compromise in sensor types • Six types of sensors. • L1, L2 and L3 sensors are of different sizes. • L4 and L5 barrel sensors are of same width. • Two different lengths are used for optimizing the length of ladders. • L4/L5 ladders are narrow. • One wedge type sensor.

  4. Discussions • Are slant sensors really necessary or beneficial? • Slant sensors avoid ladders from becoming too long. • The tracking resolution is determined by the first layer and material in front of it. Effect of slant sensor is not large. • Even tracks in the forward region do not contribute to the vertex resolution significantly, • They will be useful for event reconstruction and (maybe) for online triggers. • To have DSSD sensors is better than to have insensitive material in the detector acceptance.

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