jmduarte

#!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
import mplhep as hep

mlp_data = {
    "W2A2": [2.7 * 10**6, 86.2],
    "W3A3": [4.2 * 10**6, 89.7],
    "W8A8": [1.8 * 10**7, 90.5],
    "FP": [2.8 * 10**8, 90.4],

jmduarte

import numpy as np
import random as rnd
import hls4ml
from tensorflow.keras.layers import Conv2D, MaxPooling2D, BatchNormalization
from qkeras.qconvolutional import QConv2D
from qkeras.quantizers import quantized_bits, quantized_relu
from tensorflow.keras.models import Sequential
from qkeras import QActivation

height = 8

jmduarte

#!/usr/bin/env python
# coding: utf-8

# In[1]:


import os
import logging
logging.basicConfig(level=logging.DEBUG, format='[%(asctime)s] %(levelname)s: %(message)s')
import pandas as pd

jmduarte

def get_jsd_limit(frame=[], epsilonB=0.1):   
        ndatapoints = 100
        
        mmin = 40
        mmax = 200
        nbins = 8
        
        frame = frame.loc[frame['truthQCD'] == 1]
        N = len(frame)
        nB = N*epsilonB