SLIDE 1
Fuyue Wang
Pixel ToT precision study
SLIDE 2 How the number of ToT bit influence the reconstruction ability?
■ 1 particle case – Randomly shot in the middle pixel (uniform distribution) – May diffuse into nearby pixels ■ 2 particles case – 1st particle randomly in the middle pixel – 2nd particle has a fixed distance (d) to the 1st
Hit Hit
d
Hit Hit
1 particle 2 particle 50 ×250 um2
SLIDE 3
1 particle case
■ X residual ( Xdet - Xtrue ) – Charge weighted average --------- ave – Artificial neutral network regression --------- mlp Pixel_X = 50 um
SLIDE 4
1 particle case
■ Y residual ( Ydet - Ytrue ) – Charge weighted average – Artificial neutral network regression Pixel_Y = 250 um
SLIDE 5
2 particle case
■ Generate dataset with 1 and 2 particle events and classify them with neutral network ■ Given a constant True Positive (95%), cut is chosen ■ Calculate the False Positive and compare
Tru rue Positiv sitive Fal alse se Positiv sitive
SLIDE 6 2 particle case
■ 2 particles are hit in two nearby pixels (Uniformly distributed in each pixel) ■ 2 particles diffuse independently bef efore
diffu fuse se after er di diffu fuse
SLIDE 7 2 particle case
■ Bit = 2, 4, 6, 8, 10 ■ Distance = 25 um bef efore
diffu fuse se after er di diffu fuse
Case 1 Case 2 Case 3
SLIDE 8
2 particle case
■ False Positive at distance 15, 25, 35, 50 um. No radiation effect !
SLIDE 9
Next step …
■ Learn and test more with artificial neutral networks ■ Regression of the exact position ■ More particles conditions
SLIDE 10
Thank you!
