Skip to main content

Scienta Omicron (NanoScience) (NanoTechnology) MATRIX Control System result file accessing tool

Project description

access2theMatrix is a Python library for accessing Scienta Omicron (NanoScience) (NanoTechnology) MATRIX Control System result files. Scanning Probe Microscopy (SPM) Image data, Single Point Spectroscopy (SPS) Curve data, Phase/Amplitude Curve data and volume Continuous Imaging Tunneling Spectroscopy (CITS) Curves data will be accessed by this library.

The library access2theMatrix has the package access2thematrix which in turn contains the module access2thematrix. The class MtrxData in the access2thematrix module has the methods to open SPM Image, SPS Curve, Phase/Amplitude Curve and volume CITS Curves result files, to select one out of the four possible traces (forward/up, backward/up, forward/down and backward/down) for images and volume CITS curves, and to select one out of the two possible traces (trace, retrace) for spectroscopy curves. Includes method for experiment element parameters overview.

Dependencies

access2theMatrix requires the NumPy (http://www.numpy.org) and the six (https://pypi.python.org/pypi/six/) library.

Installation

Using pip:

> pip install access2theMatrix

Example usage

In this example the MATRIX Control System has stored the acquired data in the folder c:\data. In addition to the result data files the folder must also contain the result file chain, see the MATRIX Application Manual for SPM. The image file Au(111) bbik fe-20151110-112314--3_1.Z_mtrx will be opened and the forward/up trace will be selected.

>>> import access2thematrix
>>> mtrx_data = access2thematrix.MtrxData()
>>> data_file = r'c:\data\Au(111) bbik fe-20151110-112314--3_1.Z_mtrx'
>>> traces, message = mtrx_data.open(data_file)
>>> traces
{0: 'forward/up', 1: 'backward/up'}
>>> im, message = mtrx_data.select_image(traces[0])
>>>

The variable im will contain the data and the metadata of the selected image and the im object has the initial attributes data, width, height, y_offset, x_offset, angle and channel_name_and_unit. We will continue the example by opening de curve file Au(111) bbik fe-20151110-112314--2_1.Aux2(V)_mtrx and selecting the retrace trace.

>>> data_file = r'c:\data\Au(111) bbik fe-20151110-112314--2_1.Aux2(V)_mtrx'
>>> traces, message = mtrx_data.open(data_file)
>>> traces
{0: 'trace', 1: 'retrace'}
>>> cu, message = mtrx_data.select_curve(traces[1])
>>>

The variable cu will contain the data and the metadata of the selected curve and the cu object has the initial attributes data, referenced_by, x_data_name_and_unit and y_data_name_and_unit. The last example will open a volume CITS file CO_Cu-111-spectra-20191028--10_1.Aux1(V)_mtrx.

>>> import os
>>> os.chdir('c:/data')
>>> mtrx_data.open('CO_Cu-111-spectra-20191028--10_1.Aux1(V)_mtrx')
({0: 'trace', 1: 'retrace', 2: 'forward/up'}, 'Successfully opened and processed
 data file CO_Cu-111-spectra-20191028--10_1.Aux1(V)_mtrx.')
>>> mtrx_data.object_type
'volume CITS'
>>> im_3d = mtrx_data.volume_scan['forward/up']['trace']
>>> im_3d.shape
(3, 3, 251)
>>> mtrx_data.channel_name_and_unit
['Aux1(V)', 'V']
>>> mtrx_data.z_data_name_and_unit
['Spectroscopy Device 1', 'Volt']
>>>

The variable im_3d contains the 3-dimensional combined scan data of the ‘forward/up’ xy-scan with the ‘trace’ z-scan of Spectroscopy Device 1 with channel output Aux1. The order of the dimensions is y, x, z. The z-data is in mtrx_data.scan[0].

To get a list and a printable sorted text list of the experiment element parameters with their values and units, use the method get_experiment_element_parameters.

New in version 0.4.4

The result file chain consist of several result file chain links. The file name is ending on _0001.mtrx for the first part of the chain. This library can now use more than one chain link. A small bugfix for Python 2.7 users.

New in version 0.4.3

This is a bugfix release. The bug that originated in the previous version.

New in version 0.4.2

‘Foreign Parameters’ can be added to an experiment using the MATRIX Automated Task Environment (MATE). These ‘Foreign Parameters’ can now be accessed and are treated as parameters of the pseudo-Experiment Element instance ‘-Foreign’.

Authors & affiliations

Stephan J. M. Zevenhuizen [1]

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

access2theMatrix-0.4.4.tar.gz (12.4 kB view details)

Uploaded Source

Built Distribution

access2theMatrix-0.4.4-py2.py3-none-any.whl (12.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file access2theMatrix-0.4.4.tar.gz.

File metadata

  • Download URL: access2theMatrix-0.4.4.tar.gz
  • Upload date:
  • Size: 12.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for access2theMatrix-0.4.4.tar.gz
Algorithm Hash digest
SHA256 ee9cc3a0d4f12b87a6aae1ca7a73b5ce18235a0c871aa880811ee42ccef64753
MD5 d74d863a233519e2668247e1ce6e891a
BLAKE2b-256 b873c6d492769537ccc60bf753740cb6477116b4939427eb100810ce5ca0bbf0

See more details on using hashes here.

File details

Details for the file access2theMatrix-0.4.4-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for access2theMatrix-0.4.4-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 5730921a28501ddbbd3aef78d96eb7694f71154e30e7161e59911643eaf2b840
MD5 83d5cdc4987665b0080cf5f19ba5a8ac
BLAKE2b-256 57e6569e887ac8dfda7c92c2446079817f310c857b05262eb6780550c0253d08

See more details on using hashes here.

Supported by

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