Add ambient dose coefficients (H*(10)) from ICRP74 (#3256)
Some checks are pending
Tests and Coverage / filter-changes (push) Waiting to run
Tests and Coverage / Python 3.13 (omp=n, mpi=n, dagmc=, libmesh=, event= (push) Blocked by required conditions
Tests and Coverage / Python 3.14 (omp=n, mpi=n, dagmc=, libmesh=, event= (push) Blocked by required conditions
Tests and Coverage / Python 3.14t (omp=n, mpi=n, dagmc=, libmesh=, event= (push) Blocked by required conditions
Tests and Coverage / Python 3.12 (omp=n, mpi=n, dagmc=n, libmesh=n, event=n (push) Blocked by required conditions
Tests and Coverage / Python 3.12 (omp=y, mpi=n, dagmc=n, libmesh=n, event=n (push) Blocked by required conditions
Tests and Coverage / Python 3.12 (omp=n, mpi=y, dagmc=n, libmesh=n, event=n (push) Blocked by required conditions
Tests and Coverage / Python 3.12 (omp=y, mpi=y, dagmc=n, libmesh=n, event=n (push) Blocked by required conditions
Tests and Coverage / Python 3.12 (omp=y, mpi=n, dagmc=, libmesh=y, event= (push) Blocked by required conditions
Tests and Coverage / Python 3.12 (omp=y, mpi=n, dagmc=, libmesh=, event=y (push) Blocked by required conditions
Tests and Coverage / Python 3.12 (omp=y, mpi=y, dagmc=y, libmesh=, event= (push) Blocked by required conditions
Tests and Coverage / Python 3.12 (omp=y, mpi=y, dagmc=, libmesh=y, event= (push) Blocked by required conditions
Tests and Coverage / coverage (push) Blocked by required conditions
Tests and Coverage / Check CI status (push) Blocked by required conditions
dockerhub-publish-develop / main (push) Waiting to run
dockerhub-publish-develop-dagmc-libmesh / main (push) Waiting to run
dockerhub-publish-develop-dagmc / main (push) Waiting to run
dockerhub-publish-develop-libmesh / main (push) Waiting to run

Co-authored-by: matteo.zammataro <matteo.zammataro@newcleo.com>
Co-authored-by: Paul Romano <paul.k.romano@gmail.com>
This commit is contained in:
Matteo Zammataro 2026-07-03 01:51:10 +02:00 committed by GitHub
parent df6f94300f
commit 97e04c464a
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
4 changed files with 187 additions and 47 deletions

View file

@ -4,50 +4,76 @@ import numpy as np
import openmc.checkvalue as cv
_FILES = {
('icrp74', 'neutron'): Path('icrp74') / 'neutrons.txt',
('icrp74', 'photon'): Path('icrp74') / 'photons.txt',
('icrp116', 'electron'): Path('icrp116') / 'electrons.txt',
('icrp116', 'helium'): Path('icrp116') / 'helium_ions.txt',
('icrp116', 'mu-'): Path('icrp116') / 'negative_muons.txt',
('icrp116', 'pi-'): Path('icrp116') / 'negative_pions.txt',
('icrp116', 'neutron'): Path('icrp116') / 'neutrons.txt',
('icrp116', 'photon'): Path('icrp116') / 'photons.txt',
('icrp116', 'photon kerma'): Path('icrp116') / 'photons_kerma.txt',
('icrp116', 'mu+'): Path('icrp116') / 'positive_muons.txt',
('icrp116', 'pi+'): Path('icrp116') / 'positive_pions.txt',
('icrp116', 'positron'): Path('icrp116') / 'positrons.txt',
('icrp116', 'proton'): Path('icrp116') / 'protons.txt',
_FULL_GEOMETRIES = ('AP', 'PA', 'LLAT', 'RLAT', 'ROT', 'ISO')
_LIMITED_GEOMETRIES = ('AP', 'PA', 'ISO')
_TABLES = {
('icrp74', 'effective', 'neutron'): (
Path('icrp74') / 'neutrons.txt', _FULL_GEOMETRIES),
('icrp74', 'effective', 'photon'): (
Path('icrp74') / 'photons.txt', _FULL_GEOMETRIES),
('icrp116', 'effective', 'electron'): (
Path('icrp116') / 'electrons.txt', _LIMITED_GEOMETRIES),
('icrp116', 'effective', 'helium'): (
Path('icrp116') / 'helium_ions.txt', _LIMITED_GEOMETRIES),
('icrp116', 'effective', 'mu-'): (
Path('icrp116') / 'negative_muons.txt', _LIMITED_GEOMETRIES),
('icrp116', 'effective', 'pi-'): (
Path('icrp116') / 'negative_pions.txt', _LIMITED_GEOMETRIES),
('icrp116', 'effective', 'neutron'): (
Path('icrp116') / 'neutrons.txt', _FULL_GEOMETRIES),
('icrp116', 'effective', 'photon'): (
Path('icrp116') / 'photons.txt', _FULL_GEOMETRIES),
('icrp116', 'effective', 'photon kerma'): (
Path('icrp116') / 'photons_kerma.txt', _FULL_GEOMETRIES),
('icrp116', 'effective', 'mu+'): (
Path('icrp116') / 'positive_muons.txt', _LIMITED_GEOMETRIES),
('icrp116', 'effective', 'pi+'): (
Path('icrp116') / 'positive_pions.txt', _LIMITED_GEOMETRIES),
('icrp116', 'effective', 'positron'): (
Path('icrp116') / 'positrons.txt', _LIMITED_GEOMETRIES),
('icrp116', 'effective', 'proton'): (
Path('icrp116') / 'protons.txt', _FULL_GEOMETRIES),
('icrp74', 'ambient', 'neutron'): (
Path('icrp74') / 'neutrons_H10.txt', None),
('icrp74', 'ambient', 'photon'): (
Path('icrp74') / 'photons_H10.txt', None),
}
_DOSE_TABLES = {}
def _load_dose_icrp(data_source: str, particle: str):
"""Load effective dose tables from text files.
def _load_dose_table(data_source: str, dose_quantity: str, particle: str):
"""Load dose tables from text files.
Parameters
----------
data_source : {'icrp74', 'icrp116'}
The dose conversion data source to use
dose_quantity : {'effective', 'ambient'}
Dose quantity to load. 'ambient' corresponds to ambient dose
equivalent H*(10).
particle : {'neutron', 'photon', 'photon kerma', 'electron', 'positron'}
Incident particle
"""
path = Path(__file__).parent / _FILES[data_source, particle]
key = (data_source, dose_quantity, particle)
path = Path(__file__).parent / _TABLES[key][0]
data = np.loadtxt(path, skiprows=3, encoding='utf-8')
data[:, 0] *= 1e6 # Change energies to eV
_DOSE_TABLES[data_source, particle] = data
_DOSE_TABLES[key] = data
def dose_coefficients(particle, geometry='AP', data_source='icrp116'):
"""Return effective dose conversion coefficients.
def dose_coefficients(
particle, geometry='AP', data_source='icrp116', dose_quantity='effective'
):
"""Return dose conversion coefficients.
This function provides fluence (and air kerma) to effective or ambient dose
(H*(10)) conversion coefficients for various types of external exposures
based on values in ICRP publications. Corrected values found in a
corrigendum are used rather than the values in the original report.
Available libraries include `ICRP Publication 74
This function provides fluence (and air kerma) to effective dose or ambient
dose equivalent (H*(10)) conversion coefficients for various types of
external exposures based on values in ICRP publications. Corrected values
found in a corrigendum are used rather than the values in the original
report. Available libraries include `ICRP Publication 74
<https://doi.org/10.1016/S0146-6453(96)90010-X>` and `ICRP Publication 116
<https://doi.org/10.1016/j.icrp.2011.10.001>`.
@ -63,45 +89,58 @@ def dose_coefficients(particle, geometry='AP', data_source='icrp116'):
particle : {'neutron', 'photon', 'photon kerma', 'electron', 'positron'}
Incident particle
geometry : {'AP', 'PA', 'LLAT', 'RLAT', 'ROT', 'ISO'}
Irradiation geometry assumed. Refer to ICRP-116 (Section 3.2) for the
meaning of the options here.
Irradiation geometry assumed for effective dose coefficients. Refer to
ICRP-116 (Section 3.2) for the meaning of the options here. This
argument does not apply when ``dose_quantity`` is 'ambient'.
data_source : {'icrp74', 'icrp116'}
The data source for the effective dose conversion coefficients.
The data source for the dose conversion coefficients.
dose_quantity : {'effective', 'ambient'}
Dose quantity to return. 'effective' returns effective dose
coefficients; 'ambient' returns ambient dose equivalent (H*(10))
coefficients.
Returns
-------
energy : numpy.ndarray
Energies at which dose conversion coefficients are given
dose_coeffs : numpy.ndarray
Effective dose coefficients in [pSv cm^2] at provided energies. For
'photon kerma', the coefficients are given in [Sv/Gy].
Dose coefficients in [pSv cm^2] at provided energies. For 'photon
kerma', the coefficients are given in [Sv/Gy].
"""
cv.check_value('geometry', geometry, {'AP', 'PA', 'LLAT', 'RLAT', 'ROT', 'ISO'})
cv.check_value('geometry', geometry, _FULL_GEOMETRIES)
cv.check_value('data_source', data_source, {'icrp74', 'icrp116'})
cv.check_value('dose_quantity', dose_quantity, {'effective', 'ambient'})
if (data_source, particle) not in _FILES:
available_particles = sorted({p for (ds, p) in _FILES if ds == data_source})
key = (data_source, dose_quantity, particle)
if key not in _TABLES:
available_particles = sorted(
p for ds, dq, p in _TABLES
if ds == data_source and dq == dose_quantity
)
msg = (
f"'{particle}' has no dose data in data source {data_source}. "
f"Available particles for {data_source} are: {available_particles}"
f"'{particle}' has no {dose_quantity} dose data in data source "
f"{data_source}. Available particles for {data_source} "
f"with dose quantity {dose_quantity} are: {available_particles}"
)
raise ValueError(msg)
elif (data_source, particle) not in _DOSE_TABLES:
_load_dose_icrp(data_source, particle)
elif key not in _DOSE_TABLES:
_load_dose_table(data_source, dose_quantity, particle)
# Get all data for selected particle
data = _DOSE_TABLES[data_source, particle]
data = _DOSE_TABLES[key]
columns = _TABLES[key][1]
# Determine index for selected geometry
if particle in ('neutron', 'photon', 'proton', 'photon kerma'):
columns = ('AP', 'PA', 'LLAT', 'RLAT', 'ROT', 'ISO')
if columns is None:
if geometry != 'AP':
raise ValueError(
"Irradiation geometry is not defined for ambient dose "
"equivalent coefficients. Use the default geometry='AP'."
)
index = 0
else:
columns = ('AP', 'PA', 'ISO')
index = columns.index(geometry)
index = columns.index(geometry)
# Pull out energy and dose from table
energy = data[:, 0].copy()
dose_coeffs = data[:, index + 1].copy()
return energy, dose_coeffs

View file

@ -0,0 +1,50 @@
Neutrons: Ambient per fluence, in units of pSv cm², for monoenergetic particles incident.
Energy (MeV) Dose
1.00E-09 6.60
1.00E-08 9.00
2.53E-08 10.6
1.00E-07 12.9
2.00E-07 13.5
5.00E-07 13.6
1.00E-06 13.3
2.00E-06 12.9
5.00E-06 12.0
1.00E-05 11.3
2.00E-05 10.6
5.00E-05 9.90
1.00E-04 9.40
2.00E-04 8.90
5.00E-04 8.30
1.00E-03 7.90
2.00E-03 7.70
5.00E-03 8.00
1.00E-02 10.5
2.00E-02 16.6
3.00E-02 23.7
5.00E-02 41.1
7.00E-02 60.0
1.00E-01 88.0
1.50E-01 132
2.00E-01 170
3.00E-01 233
5.00E-01 322
7.00E-01 375
9.00E-01 400
1 416
1.2 425
2 420
3 412
4 408
5 405
6 400
7 405
8 409
9 420
10 440
12 480
14 520
15 540
16 555
18 570
20 600

View file

@ -0,0 +1,28 @@
Photons: Ambient dose (H*10) per fluence, in units of pSv cm²
Energy (MeV) Dose
0.010 0.061
0.015 0.83
0.020 1.05
0.030 0.81
0.040 0.64
0.050 0.55
0.060 0.51
0.080 0.53
0.100 0.61
0.150 0.89
0.200 1.20
0.300 1.80
0.400 2.38
0.500 2.93
0.600 3.44
0.800 4.38
1 5.20
1.5 6.90
2 8.60
3 11.1
4 13.4
5 15.5
6 17.6
8 21.6
10 25.6

View file

@ -34,6 +34,20 @@ def test_dose_coefficients():
assert energy[-1] == approx(20.0e6)
assert dose[-1] == approx(338.0)
energy, dose = dose_coefficients(
'neutron', data_source='icrp74', dose_quantity='ambient')
assert energy[0] == approx(1e-3)
assert dose[0] == approx(6.60)
assert energy[-1] == approx(20.0e6)
assert dose[-1] == approx(600)
energy, dose = dose_coefficients(
'photon', data_source='icrp74', dose_quantity='ambient')
assert energy[0] == approx(0.01e6)
assert dose[0] == approx(0.061)
assert energy[-1] == approx(10e6)
assert dose[-1] == approx(25.6)
# Invalid particle/geometry should raise an exception
with raises(ValueError):
dose_coefficients('slime', 'LAT')
@ -41,6 +55,14 @@ def test_dose_coefficients():
dose_coefficients('neutron', 'ZZ')
with raises(ValueError):
dose_coefficients('neutron', data_source='icrp7000')
with raises(ValueError):
dose_coefficients('neutron', dose_quantity='banana')
with raises(ValueError):
dose_coefficients(
'neutron', data_source='icrp116', dose_quantity='ambient')
with raises(ValueError):
dose_coefficients(
'neutron', 'ISO', data_source='icrp74', dose_quantity='ambient')
with raises(ValueError) as excinfo:
dose_coefficients("photons", data_source="icrp116")
expected_particles = [
@ -57,7 +79,8 @@ def test_dose_coefficients():
"proton",
]
expected_msg = (
"'photons' has no dose data in data source icrp116. "
f"Available particles for icrp116 are: {expected_particles}"
"'photons' has no effective dose data in data source icrp116. "
"Available particles for icrp116 with dose quantity effective are: "
f"{expected_particles}"
)
assert str(excinfo.value) == expected_msg