README.md

Data samples

You are given various simulated data samples as Pandas dataframes in .csv format. These should not be dependent on the python version (although they are larger and slower to open than pickles). These can be opened with

import pandas
my_frame = pandas.read_csv('/path/to/file.csv')

The total_dataset.csv is the data to analyse. It is a representation of the real data that would come out of the LHCb detector. It will therefore contain the interesting signal decay, as well as various backgrounds. To help you understand these backgrounds simulation samples of them are provided as listed below:

• sig.csv - The signal decay, simulated as per the Standard Model
• jpsi.csv - with
• psi2S.csv - with
• jpsi_mu_k_swap.csv - with the muon reconstructed as kaon and the kaon reconstructed as a muon
• jpsi_mu_pi_swap.csv - with the muon reconstructed as pion and the pion reconstructed as a muon
• k_pi_swap.csv - signal decay but with the kaon reconstructed as a pion and the pion reconstructed as a kaon
• phimumu.csv - with and one of the kaons reconstructed as a pion
• pKmumu_piTok_kTop.csv - with the proton reconstructed as a kaon and the kaon reconstructed as a pion
• pKmumu_piTop.csv - with the proton reconstructed as a pion
• Kmumu.csv -
• Kstarp_pi0.csv - with
• Jpsi_Kstarp_pi0.csv - with and

In addition you are given a sample of simulation called acceptance_mc.csv. This is generated to be flat in the three angular variables and