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.gitignore
.gitignore
 
 
.pre-commit-config.yaml
.pre-commit-config.yaml
 
 
1d_cnn.ipynb
1d_cnn.ipynb
 
 
CBAM.py
CBAM.py
 
 
CBAM3D.py
CBAM3D.py
 
 
CNN.ipynb
CNN.ipynb
 
 
Evaluate.ipynb
Evaluate.ipynb
 
 
Imager_RDF.ipynb
Imager_RDF.ipynb
 
 
LICENSE
LICENSE
 
 
Ntupler.ipynb
Ntupler.ipynb
 
 
Ntupler_RDF.ipynb
Ntupler_RDF.ipynb
 
 
Position_dependence.ipynb
Position_dependence.ipynb
 
 
README.md
README.md
 
 
build_cnn_classifier.ipynb
build_cnn_classifier.ipynb
 
 
build_cnn_regressor.ipynb
build_cnn_regressor.ipynb
 
 
build_cvt_reg_cls.ipynb
build_cvt_reg_cls.ipynb
 
 
concat_images.ipynb
concat_images.ipynb
 
 
concat_images.py
concat_images.py
 
 
config.py
config.py
 
 
config.sh
config.sh
 
 
cvt_custom_layers.py
cvt_custom_layers.py
 
 
cvt_modules.py
cvt_modules.py
 
 
evaluate_PG_energy_regression.ipynb
evaluate_PG_energy_regression.ipynb
 
 
evaluate_cvt_cls.py
evaluate_cvt_cls.py
 
 
evaluate_cvt_cls.sh
evaluate_cvt_cls.sh
 
 
evaluate_cvt_cls.sub
evaluate_cvt_cls.sub
 
 
evaluate_nuflav_classification.ipynb
evaluate_nuflav_classification.ipynb
 
 
event_display.ipynb
event_display.ipynb
 
 
image_creator.py
image_creator.py
 
 
image_creator_1d.py
image_creator_1d.py
 
 
imager.sh
imager.sh
 
 
imager.sub
imager.sub
 
 
inspect_network.ipynb
inspect_network.ipynb
 
 
linear_model.ipynb
linear_model.ipynb
 
 
losses.py
losses.py
 
 
ntuple_creator.py
ntuple_creator.py
 
 
ntupler.sh
ntupler.sh
 
 
ntupler.sub
ntupler.sub
 
 
plot_model.py
plot_model.py
 
 
plotting.py
plotting.py
 
 
predict_cnn.py
predict_cnn.py
 
 
predict_cnn.sh
predict_cnn.sh
 
 
predict_cnn.sub
predict_cnn.sub
 
 
preprocessing.py
preprocessing.py
 
 
regression.ipynb
regression.ipynb
 
 
requirements.txt
requirements.txt
 
 
start_z_BDT.ipynb
start_z_BDT.ipynb
 
 
start_z_classic.ipynb
start_z_classic.ipynb
 
 
train_cnn.py
train_cnn.py
 
 
train_cnn.sh
train_cnn.sh
 
 
train_cnn.sub
train_cnn.sub
 
 
train_cvt.py
train_cvt.py
 
 
train_cvt.sh
train_cvt.sh
 
 
train_cvt.sub
train_cvt.sub
 
 
train_test_split.ipynb
train_test_split.ipynb
 
 
train_test_splitnshuffle.ipynb
train_test_splitnshuffle.ipynb
 
 

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Calorimetry and particle identification studies for AdvSND

pre-commit.ci status

Classical approach

BDT approach

CNN 1d

CNN 3d

Data preprocessing

Limitations and future improvements

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Various notebooks and tools for AdvSND calorimetry studies

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GPL-3.0 license
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  • Jupyter Notebook 81.4%
  • Python 17.4%
  • Shell 1.2%