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ALS.Milo-0.18.1


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توضیحات

Setup & analyze data from ALS BL 4.0.2 diffractometer
ویژگی مقدار
سیستم عامل -
نام فایل ALS.Milo-0.18.1
نام ALS.Milo
نسخه کتابخانه 0.18.1
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Padraic Shafer
ایمیل نویسنده pshafer@lbl.gov
آدرس صفحه اصلی https://bitbucket.org/berkeleylab/als.milo/src/master/
آدرس اینترنتی https://pypi.org/project/ALS.Milo/
مجوز -
# ALS.Milo (version 0.18) Overview --- _**Milo**_ is a suite of Python modules used to read, process, and analyze data that was collected on the **Scattering Chamber** located at **Beamline 4.0.2** (_a.k.a. **BL402**_) of the **Advanced Light Source** (Berkeley, CA USA). It is distributed under the _namespace package_, _**ALS**_. How to cite this software --- If you use this software in your research, please include the following citation in your publication: * Shafer, Padraic. (2014, August 3). ALS.Milo (Version unspecified). http://doi.org/10.5281/zenodo.3779551 Installation --- ### Install from PyPI **_ALS.Milo_** can be installed from PyPI using `pip`. The following example shows how. ```bash >> sudo python -m pip install ALS.Milo -vv ``` ### Install from Anaconda **_ALS.Milo_** can be installed from Anaconda Cloud. The following example shows how. ```bash >> conda config --add channels padraicshafer # Required for ALS.Milo >> conda config --add channels pshafer # Required for dependency >> conda install ALS.Milo ``` ### Install from local repository (download) **_ALS.Milo_** can be installed from a local copy of the project repository using `pip`. The following example shows how. ```bash >> cd ALS.Milo-0.18.1/ # Local directory of project repository >> sudo pip install . ``` Background information --- Data from the BL402 Scattering Chamber is stored in two types of files: * **FITS files**: Each image captured by the CCD (_a.k.a._ the camera) is stored in a separate file using the _FITS_ format. _More details below._ https://fits.gsfc.nasa.gov/fits_documentation.html * **Scan summary files**: When a scan sequence is run to collect data, a text file is created to summarize the parameters of the scan and the data collected. Every _scan summary file_ contains a header that describes the scan and the types of data recorded, followed by data rows -- one row per data point. An _Instrument Scan_ provides an _image filename_ in each data row that can be used to access the CCD images recorded during the scan. Usage --- `class CcdImageFromFITS` encapsulates the operations of loading CCD data from a FITS file (including header information), accessing that data, and converting CCD screen coordinates (pixels) into reciprocal space coordinates. The following command can be used to access the `CcdImageFromFITS` class in the `qimage` module. ```python from als.milo.qimage import CcdImageFromFITS ``` To read a FITS file use the constructor: `CcdImageFromFITS(`*`filename`*`)` , where _filename_ is a reachable (relative or absolute) file path to the FITS file. The two-dimensional array of data can be accessed through the instance member, `data`. ```python ccd_image = CcdImageFromFITS("NiFe_8044-00024.fits") ccd_image.data # 2D array with shape (num_rows, num_columns) ``` Reciprocal space coordinates are calculated for each pixel using the member function, `qvalues_df()`. The return value is a PANDAS dataframe (_df_) where each row corresponds to a single pixel. The columns `["Qx", "Qy", "Qz"]` are the diffractometer coordinates of the reciprocal space vector in units of nm<sup>-1</sup> (_Q_ = 2&pi; / _d_). Intensity of each pixel is in column, `"Counts"`. ```python ccd_image = CcdImageFromFITS("NiFe_8044-00024.fits") q_ccd_df = ccd_image.qvalues_df() q_ccd_df["Qx", "Qy", "Qz", "Counts"] # CCD data in reciprocal space ``` Copyright Notice --- ALS.Milo: BL402 RSXD Data Analysis, Copyright (c) 2014-2021, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved. If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Intellectual Property Office at IPO@lbl.gov. NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S. Government consequently retains certain rights. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, distribute copies to the public, prepare derivative works, and perform publicly and display publicly, and to permit other to do so.


نحوه نصب


نصب پکیج whl ALS.Milo-0.18.1:

    pip install ALS.Milo-0.18.1.whl


نصب پکیج tar.gz ALS.Milo-0.18.1:

    pip install ALS.Milo-0.18.1.tar.gz