Nue Energy Reconstruction with CNN Lars Hertel, Ilsoo Seong, - PowerPoint PPT Presentation

Nue Energy Reconstruction with CNN Lars Hertel, Ilsoo Seong, Jianming Bian 2018/08/20

Intro. Convolutional Neural Network (CNN) has been mostly used for classification ● This CNN has been implemented in the dunetpc software to classify neutrino ● flavors and interactions (CVN) We use CNN to reconstruct Nue CC energy which is a regression problem : RegCVN ● We construct three pixel maps using Global Wire ● Use Nue sample of MCC10 for the training and evaluation: ● prodgenie_nue_dune10kt_1x2x6_mcc10.0 Implemented in the dunetpc using Tensorflow and tested with dunetpc v07_00_01 ● (not committed yet) 2

Event Selection and Global Wire Select Nue CC MC events: No hits near the edge of the FD ● Global Wire ● ○ modified the GlobalWire algorithm in the “BlurredClusteringAlg” module It shows a clean and continuous event from one image. ○ Local Wire using reco Hit Global Wire Hits on two TPCs Pass through APA 3

Pixel Map Three input pixel maps: U, V, and Z planes ● Pixel map size: 280x400 (actual covered space: 1680 ticks x 400 wires) → 6 ticks are merged ● ● Use ADC counts and TDC units from Wire instead of using reconstructed Hit 4

Stochastic gradient descent (SGD): Training Details Plane U Plane V Plane Z Use SGD variant ADAM [Kingma et al. 2014] with 1e-3 learning rate. 3xConv2d 3xConv2d 3xConv2d Max Pool Max Pool Max Pool Batch size n : 16 Inception Inception Inception Max Pool Max Pool Max Pool Loss: Inception Inception Inception Max Pool Max Pool Max Pool Concat Training over 460,000 examples for approximately 20 epochs. Inception Average Pool Energy 5

NueCC Energy Resolution Black line: energy resolution from RegCVN ● ● Blue line: energy resolution from dune-reco RegCVN has less bias and better resolution ● ● Fit with Gaussian near the peak region Sigma of RegCVN: 5.2% , Std. : 8.0% ● 6

Energy Resolution vs True Energy Mean and RMS of energy resolution ● RegCVN shows less bias than and smaller RMS ● ● Need improvement in the low energy region 7

Summary and Plan RegCVN promises better Nue energy resolution ● The RegCVN module is implemented in the dune art framework and ready to commit ● ● To improve the resolution in the low energy region, we will up-weight low energy examples during training RegCVN will be also used to reconstruct electron shower energy in Nue events ● 8