{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"*This notebook was created by Sergey Tomin (sergey.tomin@desy.de). Source and license info is on [GitHub](https://github.com/ocelot-collab/ocelot). May 2020.*"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Appendix: some useful OCELOT functions\n",
"\n",
"This notebook was created to show some small functions that may be useful for accelerator physicists.\n",
"### Contents\n",
"1. [Aperture](#aperture)\n",
"2. [Losses along accelerator lattice](#losses)\n",
"3. [RK tracking](#rk)\n",
"4. [How to save/dump the beam distribution at a specific location of the lattice](#savebeam)\n",
"5. [Energy jitter. Or simulation of the jitter in the RF parameters.](#jitter)\n",
"6. [Get Twiss parameters from the beam slice](#twiss)\n",
"7. [Transfer Maps in Ocelot. Global assignment and for specific elements](#TM)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"initializing ocelot...\n"
]
}
],
"source": [
"# import modules\n",
"from ocelot import *\n",
"from ocelot.gui.accelerator import *\n",
"import copy\n",
"import pandas as pd\n",
"import seaborn as sbn\n",
"import time\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Aperture\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Suppose you have a simple (and imposible) missaligned dump beam line. \n",
"And you want to know the best corrector setting to get 100% transmission. \n",
"\n",
"We are goring to explor the transmission in horizontal only. \n",
"\n",
"#### Lattice "
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"d = Drift(l=1)\n",
"\n",
"# horizontal correctors\n",
"c1 = Hcor()\n",
"c2 = Hcor()\n",
"\n",
"# Sextupoles\n",
"sf = Sextupole(l=0.2, k2=3000)\n",
"sf.dx, sf.dy = 1e-3, -1e-3\n",
"\n",
"sd = Sextupole(l=0.2, k2=-3000)\n",
"sd.dx, sd.dy = 1e-3, -1e-3\n",
"\n",
"\n",
"# Quadrupoles with transversal offsets\n",
"qf = Quadrupole(l=0.2, k1=1, k2=20)\n",
"qf.dx, qf.dy = 1e-3, -1e-3\n",
"\n",
"qd = Quadrupole(l=0.2, k1=-1, k2=-20, tm=SecondTM)\n",
"qd.dx, qd.dy = -1e-3, 1e-3\n",
"\n",
"# Collimators\n",
"ap1 = Aperture(xmax=5e-3, dx=-1e-3)\n",
"ap2 = Aperture(xmax=5e-3, dx=1e-3)\n",
"# BPMs\n",
"m1 = Monitor()\n",
"m2 = Monitor()\n",
"\n",
"# Solenoids\n",
"solb_23_i1 = Solenoid(eid='SOLB.23.I1')\n",
"cell = (d, c1, d, sf, d, qf, d, ap1, d, m1, d, c2, d, sd, d, qd, d, ap2, d, m2, d,)\n",
"\n",
"lat = MagneticLattice(cell, method={\"global\": SecondTM})"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Create ParticleArray and Navigator objects"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"code_folding": []
},
"outputs": [],
"source": [
"p_array_init = generate_parray(sigma_x=1e-3, sigma_px=5e-5, sigma_y=1e-3, sigma_py=5e-5, \n",
" nparticles=20000, charge=1e-09, energy=1.)\n",
"\n",
"correctors = [c1, c2]\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### function to calculate transmission through the lattice"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"def transmission(lat, navi, correctors, kicks):\n",
" for i, kick in enumerate(kicks):\n",
" correctors[i].angle = kick\n",
" \n",
" lat.update_transfer_maps()\n",
" \n",
" # reset position of the Navigator \n",
" navi.reset_position()\n",
" \n",
" p_array = copy.deepcopy(p_array_init)\n",
" tws_tack, p_array = track(lat, p_array, navi, calc_tws=False, print_progress=False)\n",
" trans = p_array.n / p_array_init.n\n",
" return trans\n",
"\n",
"\n",
"def scan(cor1_range, cor2_range):\n",
" trans_response = np.zeros((len(cor2_range), len(cor1_range)))\n",
"\n",
" for i, a2 in enumerate(A2):\n",
" print(f\"{i} of {len(A2)}\", end=\"\\r\")\n",
" for j, a1 in enumerate(A1):\n",
" kicks = [a1, a2]\n",
" trans_response[i, j] = transmission(lat, navi, correctors, kicks)\n",
" \n",
" return trans_response"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Scan with two correctors. Apertures are NOT activated. \n",
"Here we expect 100% transmission for any corrector settings."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" exec n_tracks=612: 32.27504515647888 s\n"
]
},
{
"data": {
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",
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