Deep neural network techniques in the calibration of space-charge distortion fluctuations for the alice tpc

HIGHLIGHTS

• who: Gorbunov Sergey and colleagues from the Frankfurt Institute for Advanced Studies Faculty of Mathematics and Information Science, Warsaw University of Technology have published the research: Deep neural network techniques in the calibration of space-charge distortion fluctuations for the ALICE TPC, in the Journal: (JOURNAL)
• what: The study is performed using a dedicated software package developed in Python 3.6, which makes use of several packages, like Numpy and Pandas.
• how: In this approach the training samples were constructed starting from a set of 1000 random simulated space-charge density a It . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.