Metadata-Version: 2.1
Name: dwong
Version: 0.1
Summary: Dowling's integrated data analysis for DQ experiemnt setup. Include data analysis functions, csv saving tools, Particle ID model, DNN model frame for ID training and EMCal ploting tools
Home-page: https://github.com/Dowling7/dwong
Author: Dowling Wong
Author-email: dowlingwong@brandeis.edu
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# dwong, a package for DarkQuest.

dwong is a comprehensive Python package, created by student Dowling Wong, tailored for data analysis and neural network-based particle identification in the DarkQuest experiment. The aim of this project is to streamline DarkQuest's data analysis process by providing exemplary data-processing functions.

The package mainly contains four modules: dwong, dplot, dcsv and dkeras.
* dwong
  * emcal_bytuple
  * multi_clusters
  * h4_bytuple
  * prepare_data_bytuple
* dplot
  * emcal_evt(x, y, eng)
  * emcal_pdf(ntuple_name, filename, path)
* dkeras
* dcsv

  
![scheme](/logo/darkquest_schematic.png " inline image")
dwong is the main module for data analysis, developed with a high efficiency sequence of functions acquisiten data from n-tuple and 



[The source for this project is available here][src].

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