Skip to main content

No project description provided

Project description

niess

PyPI - Version PyPI - Python Version


Table of Contents

Installation

pip install niess

License

niess is distributed under the terms of the BSD-3-Clause license.

Motivation

This package is intended to hold information about the Neutron Insruments of the European Spallation Source for use in defining Monte Carlo ray-tracing simulations, file-layout information for use by the ESS file-writers, and other yet-undefined uses; in a use-agnostic approach.

The information required about an instrument for McStas and NeXusStructure is similar but not identical -- the latter attempts to hold all information needed to produce a valid NeXus file, which requires geometry information inspired by the McCode implementation used by McStas.

The two uses each have their own vocabulary, and the vocabulary used here is more closely in line with that of McCode. The basic building block of the two uses is the Comp in McCode and the NXclass in NeXus; here the term 'component' is used to refer to such a building block. Since there are sometimes slight differences between the 'same' Comp and NXclass in how equivalent information is stored, niess is intended to be component-aware as a single translation between the two is not possible globally.

Rather than attempting to store one implementation or the other, niess components are an independent low-level representation of the properties of a component. This representation can be written as a dictionary with pre-defined keys, and it is intended that serializing to and deserializing from such a representation can be used to provide calibrated instrument information to McStas and NeXusStructure.

Use

Thus far only as-designed information is provided for the BIFROST indirect geometry multiplexing spectrometer. You can load this information in a Python script, and use them to define a niess representation of the primary and secondary spectrometers

from niess.bifrost.parameters import primary_parameters, known_channel_params
from niess.bifrost import Primary, Tank
primary = Primary.from_calibration(primary_parameters())
secondary = Tank.from_calibration(known_channel_params())

The primary spectrometer begins at the source, here located at the nominal position of the viewed moderator in the Instrument Specific Coordinate System (ISCS), and ends with the position of the sample in the same coordinate system.

The secondary spectrometer is defined in a coordinate system relative to the sample position.

It is possible to convert the niess representations of these instrument parts to their McCode representation and insert them into a McStas instrument by leveraging an Assembler from the mccode_antlr package.

from mccode_antlr.assembler import Assembler
from mccode_antlr.reader import MCSTAS_REGISTRY, GitHubRegistry
from niess.bifrost.parameters import primary_parameters, known_channel_params
from niess.bifrost import Primary, Tank

registries = ['mcstas-chopper-lib', 'mcstas-transformer', 'mcstas-detector-tubes',
              'mcstas-epics-link', 'mcstas-frame-tof-monitor', 'mccode-mcpl-filter',
              'mcstas-monochromator-rowland', 'mcstas-slit-radial']
registries = [GitHubRegistry(
    name,
    url=f'https://github.com/mcdotstar/{name}',
    filename='pooch-registry.txt',
    version='main'
) for name in registries]


assembler = Assembler('bifrost', registries=[MCSTAS_REGISTRY] + registries)
Primary.from_calibration(primary_parameters()).to_mccode(assembler)
Tank.from_calibration(known_channel_params()).to_mccode(assembler, 'sample_coordinates')

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

niess-0.0.7.tar.gz (59.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

niess-0.0.7-py3-none-any.whl (69.9 kB view details)

Uploaded Python 3

File details

Details for the file niess-0.0.7.tar.gz.

File metadata

  • Download URL: niess-0.0.7.tar.gz
  • Upload date:
  • Size: 59.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for niess-0.0.7.tar.gz
Algorithm Hash digest
SHA256 b861bb0d22c05892d5145f32452bc65c9a1e17ced776878715aa04e838f93ace
MD5 5924da691ce486c9b6269f515e7eaa54
BLAKE2b-256 28bc4c6e2021659d9973bca1c2b27bf95b432b094c743b3a7c885be3e07c7048

See more details on using hashes here.

Provenance

The following attestation bundles were made for niess-0.0.7.tar.gz:

Publisher: build-and-publish.yml on g5t/niess

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file niess-0.0.7-py3-none-any.whl.

File metadata

  • Download URL: niess-0.0.7-py3-none-any.whl
  • Upload date:
  • Size: 69.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for niess-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 d8e0fea7d5ea65b1245d68ca21085e63c3924b5dba45f03330ce389f0adc100d
MD5 957d639d65b5bec93408018262bad0c1
BLAKE2b-256 8e27b386c6d518b3c860eb22dd96ea4380488f2672465e19e0de2a8fd2d33c6b

See more details on using hashes here.

Provenance

The following attestation bundles were made for niess-0.0.7-py3-none-any.whl:

Publisher: build-and-publish.yml on g5t/niess

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page