DanHickstein

import abel
from abel.tools.analytical import PiecewisePolynomial
from itertools import chain
import matplotlib.pyplot as plt
import numpy as np

hw = 1  # peak half-width
step = 10  # center-to-center distance between peaks
n = 10  # number of peaks

DanHickstein

{
    "action": "published", 
    "organization": {
        "issues_url": "https://api.github.com/orgs/PyAbel/issues", 
        "members_url": "https://api.github.com/orgs/PyAbel/members{/member}", 
        "description": "A Python package for performing inverse abel transforms", 
        "public_members_url": "https://api.github.com/orgs/PyAbel/public_members{/member}", 
        "url": "https://api.github.com/orgs/PyAbel", 
        "events_url": "https://api.github.com/orgs/PyAbel/events", 
        "avatar_url": "https://avatars3.githubusercontent.com/u/15894666?v=4", 

DanHickstein

#include "stdosl.h"

shader volumeTexture(
    point Vector = P,
    string directory="//",
    string prefix="",
    int framePositions=3,
    string extension=".tif",
    float zMax = 2.0,
    int fromFrame = 1,

DanHickstein

clear all;
N=1001;
Rm = fix(N/2)+1;
NBF=500;
I=(1:N)';
R2  = ((I-Rm).^2);
R  = I-Rm;
M = zeros(N,NBF);
Mc =zeros(N,NBF);
Mc(:,1)=exp(-R2);

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

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

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 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
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 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)