catima/catima.pyx

"""
    catima python module
    ~~~~~~~~~~~
    This module provides interface to the catima c++ library
    :copyright: (c) 2017 by Andrej Prochazka
    :licence: GNU Affero General Public License, see LICENCE for more details
"""

cimport catimac
from enum import IntEnum
import numpy

cdef class Material:
    cdef catimac.Material cbase
    def __cinit__(self, elements=None):
        self.cbase = catimac.Material()
        if(elements and (isinstance(elements[0],float) or isinstance(elements[0],int))):
            self.cbase.add_element(elements[0],elements[1],elements[2])
        if(elements and isinstance(elements[0],list)):
            for e in elements:
                self.cbase.add_element(e[0],e[1],e[2])

    cdef from_c(self, catimac.Material &other):
        self.cbase = other

    def add_element(self, a, z , s):
        self.cbase.add_element(a, z, s)

    def ncomponents(self):
        return self.cbase.ncomponents()

    def molar_mass(self):
        return self.cbase.M()

    def M(self):
        return self.cbase.M()

    def density(self, val=None):
        if(val is None):
            return self.cbase.density()
        else:
            return self.cbase.density(val)

    def thickness(self, val=None):
        if(val is None):
            return self.cbase.thickness()
        else:
            return self.cbase.thickness(val)

class material(IntEnum):
            PLASTIC = 201
            AIR = 202
            CH2 = 203
            LH2 = 204
            LD2 = 205
            WATER = 206
            DIAMOND = 207
            GLASS = 208
            ALMG3 = 209
            ARCO2_30 = 210
            CF4 = 211
            ISOBUTANE = 212
            KAPTON = 213
            MYLAR = 214
            NAF = 215
            P10 = 216
            POLYOLEFIN = 217
            CMO2 = 218
            SUPRASIL = 219
            HAVAR = 220

def get_material(int matid):
    res = Material()
    cdef catimac.Material cres = catimac.get_material(matid);
    res.from_c(cres)
    return res


cdef class Target:
    cdef catimac.Target cbase

    def __cinit__(self,a,z):
        self.cbase.A = a
        self.cbase.Z = z
    
    def A(self):
        return self.cbase.A
    def Z(self):
        return self.cbase.Z

cdef class Layers:
    cdef catimac.Layers cbase
    cdef public:
        materials
    def __init__(self):
        self.materials=[]
        
    def add(self,Material m):
        self.cbase.add(m.cbase)
        self.materials.append(m)
        
    def num(self):
        return self.cbase.num()

    def get(self, key):
        cdef catimac.Material cmat = self.cbase[key]
        res = Material()
        res.from_c(cmat)
        return res
        
    def __getitem__(self, key):
        if(isinstance(key,int) and key<self.num()):
            return self.get(key)
        return None

cdef class Projectile:
    cdef catimac.Projectile cbase
    def __cinit__(self, A, Z, Q=None,T=None):
        self.cbase.A = A
        self.cbase.Z = Z
        self.cbase.Q = Z
        if(Q):
            self.cbase.Q = Q
        if(T):
            self.cbase.T = T
    def T(self,val=None):
        if(val is None):
            return self.cbase.T
        self.cbase.T = val;
    def __call__(self,val=None):
        if(val is None):
            return self.cbase.T
        else:
            self.T(val)
            return self
    def A(self):
        return self.cbase.A
    def Z(self):
        return self.cbase.Z
    def Q(self):
        return self.cbase.Q

cdef class Result:
    cdef public double Ein
    cdef public double Eout
    cdef public double Eloss
    cdef public double range
    cdef public double dEdxi
    cdef public double dEdxo
    cdef public double sigma_E
    cdef public double sigma_a
    cdef public double sigma_r
    cdef public double tof
    def __init__(self):
        self.Ein=0.0
        self.Eout=0.0
        self.Eloss=0.0
        self.range=0.0
        self.dEdxi=0.0
        self.dEdxo=0.0
        self.sigma_E=0.0
        self.sigma_a=0.0
        self.sigma_r=0.0
        self.tof=0.0

    def get_dict(self):
        return {"Ein":self.Ein,
                "Eout":self.Eout,
                "Eloss":self.Eloss,
                "range":self.range,
                "dEdxi":self.dEdxi,
                "dEdxo":self.dEdxo,
                "sigma_E":self.sigma_E,
                "sigma_a":self.sigma_a,
                "sigma_r":self.sigma_r,
                "tof":self.tof,
                }

    cdef setc(self,catimac.Result &val):
        self.Ein=val.Ein
        self.Eout=val.Eout
        self.Eloss=val.Eloss
        self.range=val.range
        self.dEdxi=val.dEdxi
        self.dEdxo=val.dEdxo
        self.sigma_E=val.sigma_E
        self.sigma_a=val.sigma_a
        self.sigma_r=val.sigma_r
        self.tof=val.tof

cdef class MultiResult:
    def __init__(self):
        self.total_result = Result()
        self.results = []
    cdef setc(self, catimac.MultiResult &val):
        self.total_result.setc(val.total_result)
        for e in val.results:
            self.results.append(e)

class z_eff_type(IntEnum):
    none = 0,
    atima = 1
    pierce_blann = 1
    anthony_landorf = 2
    hubert = 3

class skip_calculation(IntEnum):
    skip_none = 0
    skip_tof = 1
    skip_sigma_a = 2
    skip_sigma_r = 4

class corrections(IntEnum):
        no_barkas = 1
        no_lindhard = 2
        no_shell_correction = 4

cdef class Config:
    cdef catimac.Config cbase
    def __cinit__(self):
        #self.cbase = catimac.Config()
        self.cbase.z_effective = z_eff_type.atima
        self.cbase.skip = skip_calculation.skip_none
        self.cbase.dedx = skip_calculation.skip_none
    def z_effective(self, val=None):
        if(val is None):
            return self.cbase.z_effective
        else:
            self.cbase.z_effective = val
    def skip_calculation(self, val=None):
        if(val is None):
            return self.cbase.skip
        else:
            self.cbase.skip = val
    def dedx(self, val=None):
        if(val is None):
            return self.cbase.dedx
        else:
            self.cbase.dedx = val


default_config = Config()

def calculate(Projectile projectile, Material material, energy = None, Config config = default_config):
    if(not energy is None):
        projectile.T(energy)
    cdef catimac.Result cres = catimac.calculate(projectile.cbase,material.cbase,config.cbase)
    res = Result()
    res.setc(cres)
    return res

def calculate(Projectile projectile, Layers layers, energy = None,  Config config = default_config):
    if(not energy is None):
        projectile.T(energy)
    cdef catimac.MultiResult cres = catimac.calculate(projectile.cbase, layers.cbase, config.cbase)
    res = MultiResult()
    res.setc(cres)
    return res
    

def range(Projectile projectile, Material material, energy = None, Config config = default_config):  
    if(isinstance(energy,numpy.ndarray)):
        res = numpy.empty(energy.size)
        for i,e in enumerate(energy):
            res[i] = catimac.range(projectile.cbase, e, material.cbase, config.cbase)
        return res    
    if(energy is None):
        energy = projectile.T()    
    return catimac.range(projectile.cbase, energy, material.cbase, config.cbase);

def dedx_from_range(Projectile projectile, Material material, energy = None, Config config = default_config):  
    if(isinstance(energy,numpy.ndarray)):
        res = numpy.empty(energy.size)
        for i,e in enumerate(energy):
            res[i] = catimac.dedx_from_range(projectile.cbase, e, material.cbase, config.cbase)
        return res    
    if(energy is None):
        energy = projectile.T()    
    return catimac.dedx_from_range(projectile.cbase, energy, material.cbase, config.cbase);

def domega2de(Projectile projectile, Material material, energy = None, Config config = default_config):  
    if(isinstance(energy,numpy.ndarray)):
        res = numpy.empty(energy.size)
        for i,e in enumerate(energy):
            res[i] = catimac.domega2de(projectile.cbase, e, material.cbase, config.cbase)
        return res    
    if(energy is None):
        energy = projectile.T()    
    return catimac.domega2de(projectile.cbase, energy, material.cbase, config.cbase);

def da2de(Projectile projectile, Material material, energy = None, Config config = default_config):  
    if(isinstance(energy,numpy.ndarray)):
        res = numpy.empty(energy.size)
        for i,e in enumerate(energy):
            res[i] = catimac.da2de(projectile.cbase, e, material.cbase, config.cbase)
        return res    
    if(energy is None):
        energy = projectile.T()    
    return catimac.da2de(projectile.cbase, energy, material.cbase, config.cbase);

def dedx(Projectile projectile, Material material, energy = None, Config config = default_config):
    if(isinstance(energy,numpy.ndarray)):
        res = numpy.empty(energy.size)
        for i,e in enumerate(energy):
            res[i] = catimac.dedx(projectile.cbase, e, material.cbase, config.cbase)
        return res    
    if(energy is None):
        energy = projectile.T()
    return catimac.dedx(projectile.cbase, energy, material.cbase, config.cbase)

def energy_out(Projectile projectile, Material material, energy = None, Config config = default_config):
    if(isinstance(energy,numpy.ndarray)):
        res = numpy.empty(energy.size)
        for i,e in enumerate(energy):
            res[i] = catimac.energy_out(projectile.cbase, e, material.cbase, config.cbase)
        return res    
    if(energy is None):
        energy = projectile.T()
    return catimac.energy_out(projectile.cbase, energy, material.cbase, config.cbase)

def z_effective(Projectile p, Target t, Config c = default_config):
    return catimac.z_effective(p.cbase, t.cbase, c.cbase)

def z_eff_Pierce_Blann(double z, double beta):
    return catimac.z_eff_Pierce_Blann(z,beta)