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# LIDT
# Copyright (C) 2016 Karel Kočí
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import os
import sys
import math
class Lidt:
def __init__(self, updatecall):
self.updt = updatecall # Callback to GTK window for variable download
# Root calculations
self.smdia = 6 # Sample diameter
self.acaredia = 5 # Active area diameter
self.beamdia = 0.1 # Beam diameter
# Procedure 1 calculations
self.minnumpulse = 100 # Min number of pulses
self.maxnumpulse = 5000 # Max number of pulses
self.numsteps = 5 # Number of steps
# Procedure 2 calculations
self.numpulses = 18 # Number of pulses S
self.numdesengstep = 5 # Number of desired energy steps
self.calc()
def set_smdia(self, val):
"Set Sample Diameter"
if val < 0:
return False
#print("houhou")
self.smdia = val
self.calc()
return True
def set_acaredia(self, val):
"Set Active area diameter"
if val < 0:
return False
self.acaredia = val
self.calc()
return True
def set_beamdia(self, val):
"Set Beam diameter"
if val < 0:
return False
self.beamdia = val
self.calc()
return True
def set_minnumpulse(self, val):
"Set Min number of pulses"
if val < 0:
return False
if self.maxnumpulse <= val:
return False
self.minnumpulse = val
self.calc()
return True
def set_maxnumpulse(self, val):
"Set Max number of pulses"
if val < 0:
return False
if self.minnumpulse >= val:
return False
self.maxnumpulse = val
self.calc()
return True
def set_numsteps(self, val):
"Set Number of steps"
if val < 0:
return False
self.numsteps = int(val)
self.calc()
return True
def set_numpulses(self, val):
"Set Number of pulses S"
if val < 0:
return False
self.numpulses = val
self.calc()
return True
def set_numdesengstep(self, val):
"Set Number of desired energy steps"
if val < 0:
return False
self.numdesengstep = val
self.calc()
return True
def calc(self):
## Root
# Active area
self.actarea = math.pi * self.acaredia * self.acaredia / 4
# Spot size
self.spotzise = (math.pi * self.beamdia * self.beamdia / 4) * 0.9
# Number of spots
self.numspots = math.pi * self.acaredia * self.acaredia / \
(4 * self.actarea * self.spotzise)
# Distance between test sites (square)
self.disttestsitess = math.sqrt(self.actarea) / self.numspots
# Distance between test sites (hex)
self.disttestsitesshex = math.sqrt(2*self.actarea) / \
self.numspots * 5.1961524
## Procedure 1
# Number of pulses per step
# Lets normalize this to <0,1>
arr = []
for a in range(1, self.numsteps):
# Using normalization to <0,1> for exact calculations
# ea = log(e^0 + (a/steps * e^1))
ea = math.log(1 + ((a/self.numsteps) * math.e))
# Append real logarithmic step
# ea = (r - min) / (max - min)
# r = ea * (max - min) + min
arr.append(str(
(ea * (self.maxnumpulse - self.minnumpulse)) \
+ self.minnumpulse
))
self.numpulsperstep = ",".join(arr)
# TODO round result numbers to most significant number
# Number of sites for pulse step
self.numsitespulsstep = 5 * (1 + math.log10(self.numspots))
## Procedure 2
# Number of sites for single energy according to S
self.numofsiteseng = 5 * (1 + math.log10(self.numpulses))
# Number of energy steps available for sample
self.numengavsample = self.numspots / self.numofsiteseng
# Number of needed sites
self.numofneededsites = self.numofsiteseng * self.numdesengstep
# Number of needed sites - possibility
self.numofneededsitesbool = not self.numofneededsites > self.numspots
# Invoke Gtk form
self.updt()
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