A package for performing and analyzing microcalorimeter measurements.
Project description
Microcalorimetry
[!NOTE] This software is in active and early development by the RF power calibrations service at NIST to support RF power calibrations and the development primary RF power standards. Expect breaking breaking changes as the software evolves. Instrument interfaces are added and tested as needed for the calibration service. Bugs may be present in the instrument interfaces that we are unaware of. Please exercise caution when using interfaces presented in this code.
This package provides a library of data acquisition and analysis tools for RF power calibrations using microcalorimeters. Included in this package is:
- A Python scripting API
- A User Inteface (CLI and GUI) for data acquisition and analysis.
This package is built using Rocky Mountain Ellipse (RME), a project to develop tools for digital traceability at NIST.
Please refer to the docs for detailed information on how to use the package.
Introduction
Install with pip or preffered package manager.
pip install microcalorimetry
CLI
The command line interface is can be accessed with the ucal command:
ucal --help
GUI
The GUI is launched via the command line interface
ucal gui
Python API
The Python API provides a functional interface for performing measurements and data analysis.
The microcalorimetry.measurements submodule provides an interface into RF sweep and DC sweep measurement procedures, as well as tools to parse the raw data.
import microcalorimetry.measurements.dcsweep as dcsweep
import microcalorimetry.measurements.rfsweep as rfsweep
Analysis functions that take in parsed data and generate new data sets with uncertainties (like the effective efficiency of power sensors) are provided in the microcalorimetry.analysis submodule.
import microcalorimetry.analysis as analysis
Configuration objects for measurements and analysis scripts are provided in a microcalorimetry.configs module.
import microcalorimetry.configs as configs
Mathematical operations compatable with (RMEMeas) objects are stored in the microcalorimetry.math submodule.
import microcalorimetry.math as mcmath
Authors
Contributors names and contact info
Daniel C. Gray, Zenn C. Roberts, Aaron M. Hagerstrom
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file microcalorimetry-0.4.1.tar.gz.
File metadata
- Download URL: microcalorimetry-0.4.1.tar.gz
- Upload date:
- Size: 150.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.11.3 {"installer":{"name":"uv","version":"0.11.3","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2adbcb602fb0c6a99287151da7f4b1f5c19b1fd1f31179b04b06572cc80dfafa
|
|
| MD5 |
47b4297b3b4e594a038cf31c7cc09fbf
|
|
| BLAKE2b-256 |
15068a660c7eb49a2d48ace8499939a560c14f6cc3115bad588324082c8948b2
|
File details
Details for the file microcalorimetry-0.4.1-py3-none-any.whl.
File metadata
- Download URL: microcalorimetry-0.4.1-py3-none-any.whl
- Upload date:
- Size: 168.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.11.3 {"installer":{"name":"uv","version":"0.11.3","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0952ec7f2f450cdbcf42add9871686f0735c5572b990575ea6eb7ba81240ef9a
|
|
| MD5 |
bdc16432e52b045a316ca2bc49c9d72a
|
|
| BLAKE2b-256 |
49d84b1af78a0405f4324431f242089ca832fb06abf397e1bc54bc8bfa14d5ef
|