The following two cells contain specific phenomenological data produced by Elijah and Manuel for a collider phenomenology study investigating the $pp \to t\overline{t} \; Z'$ topology at the Large Hadron Collider (LHC). In particular, these two functions return signal masses, signal cross sections, and background cross sections computationally computed using MadGraph.

The three backgrounds, in order, are:

• $pp \to t\overline{t}h$
• $pp \to t\overline{t}t\overline{t}$
• $pp \to t\overline{t} \; \setminus \; h$

get_elijah_ttbarzp_cs[source]

get_elijah_ttbarzp_cs()

Contains cross section information produced by Elijah for $pp \to t\overline{t} \; Z'$ collider phenomenology.

Returns list containing signal masses, signal cross sections (for those masses, in pb), and background cross sections (also in pb)

get_manuel_ttbarzp_cs[source]

get_manuel_ttbarzp_cs()

Contains cross section information produced through MadGraph by Manuel for collider phenomenology regarding the semihadronic, semileptonic $pp \to t\overline{t} \; Z', Z' \to b\overline{b}$ channel

import47Ddata[source]

import47Ddata(name)

Imports name.npy file containing 47-dimensional data for training

Available files:

• bgh.npy (Standard Model background 1, $pp \to t\overline{t}h$)
• bg4t.npy (Standard Model background 2, $pp \to t\overline{t}t\overline{t}$)
• bgnoh.npy (Standard Model background 3, $pp \to t\overline{t} \; \setminus \; h$)
• sig350G.npy ($Z'$ signal, $m_{Z'} = 350$ GeV)
• sig500G.npy ($Z'$ signal, $m_{Z'} = 500$ GeV)
• sig1T.npy ($Z'$ signal, $m_{Z'} = 1$ TeV)
• sig2T.npy ($Z'$ signal, $m_{Z'} = 2$ TeV)
• sig4T.npy ($Z'$ signal, $m_{Z'} = 4$ TeV)

get47Dfeatures[source]

get47Dfeatures()

Returns list containing the names of the 47 features found in the data accessible through ttbarzp.import47Ddata()