DanHickstein

import numpy as np
import matplotlib.pyplot as plt
import sys, os
import abel


transforms = [
  ("BASEX"                ,  'basex'        ),
  ("Lin-BASEX"             , 'linbasex'     ),
  ("Direct"               ,  'direct'       ),

DanHickstein

% \documentclass{article}
\documentclass[preview]{standalone}
\usepackage[utf8]{inputenc}
\usepackage{amsmath}
\usepackage{amssymb}
\usepackage{color}

\renewcommand{\familydefault}{\sfdefault}

\definecolor{c1}{RGB}{114,0,172}   % primary

DanHickstein

# from abel.analytical import GaussianAnalytical
import matplotlib.pyplot as plt
import numpy as np
import scipy.integrate
import time
import warnings
# warnings.filterwarnings("ignore")

r = np.linspace(0,10,51)
height = 5

DanHickstein

import numpy as np
import matplotlib.pyplot as plt
import sys
import abel
import scipy.integrate

transforms = [
  # ("BASEX"                ,  abel.basex.basex_transform),
  # ("linbasex"             , abel.linbasex.linbasex_transform),
  # must have higher symmetry for linbasex

DanHickstein

import numpy as np
import matplotlib.pyplot as plt
from pynlo.devices.grating_compressor import TreacyCompressor as tc
import pynlo


l_mm = 940
angle = 47.5

comp = tc(l_mm,angle)

DanHickstein

import numpy as np
import matplotlib.pyplot as plt
from numpy import linspace, pi, log10, exp
# from numpy.fft     import fft, ifft, fftshift   # Sometimes numpy is faster
from scipy.fftpack import fft, ifft, fftshift     # but usually scipy is faster
from scipy.misc import factorial
from scipy.integrate import complex_ode
import scipy.ndimage
import time

DanHickstein

import numpy as np
import scipy.ndimage
import matplotlib.pyplot as plt

before = np.zeros((10,10))

before[5] = 1

# after = np.rot90(before) # uncomment to switch to np.rot90s
after = scipy.ndimage.interpolation.rotate(before, 45)

DanHickstein

import numpy as np
import matplotlib.pyplot as plt
import time

ns = 2**(np.arange(4,14))
times = np.zeros_like(ns, dtype='float')
rep = 10

for count, n in enumerate(ns):
    im = np.random.random((n,n))

DanHickstein

import numpy as np
import matplotlib.pyplot as plt
import timeit
import time

length = 10
ns = 2**np.arange(0,length)
t0s = np.zeros(length)
t1s = np.zeros(length)

DanHickstein

# -*- coding: utf-8 -*-
"""
StageAndThor.py
By Grace Kerber and Dan Hicktein ([email protected])

This program connects a Thorlabs Rotation Stage and a Thorlabs OSA (ours OSA 205) 
# to take power scans while recording the spectra
"""
# This program defines zero as the position when stage is plugged into computer, will home in first part of code