A method of EBSD.

the measurements closest to positions, or within a radius of them; MATLAB’s EBSD.findByLocation

Syntax

e = ebsd.findByLocation([10000, 5000])

The nearest measurement.

e = ebsd.findByLocation([[10000, 5000], [20000, 7000]])

One per position.

e = ebsd.findByLocation([10000, 5000], radius=100)

All within 100 map units.

Description

A position is (x, y), (x, y, z) or a vector3d. Without a radius every position gives its nearest measurement, in the order of the positions; with one the measurements within it of any position are returned once each, in the order of the map.

Input

`ebsd`	EBSD
`xy`	the positions, (n, 2), (n, 3) or vector3d

Keywords

keyword	default	description
`radius`	`None`	the distance within which every measurement is taken; the nearest one only when not given

Output

`e`	EBSD, the measurements found as a list

Example

Find the nearest measurement to a position and every measurement within a specified radius. The small sample is downloaded and cached on first use.

import numpy as np
from mtex import mtexdata, findByLocation

ebsd = mtexdata('small', verbose=False)['Forsterite']
query = np.array([np.mean(ebsd.x), np.mean(ebsd.y)])
nearest = findByLocation(ebsd, query)
nearby = findByLocation(ebsd, query, radius=30)
print('Query (um):', np.round(query, 2))
print('Nearest position (um):', np.round(nearest.pos.data.reshape(-1, 3)[0, :2], 2))
print('Measurements within 30 um:', nearby.size)

The result is an EBSD selection. Without radius the nearest measurement is returned even when the query is outside the scan; specify a radius when distance should limit the selection.

Query (um): [34329.76  5797.87]
Nearest position (um): [34350.  5800.]
Measurements within 30 um: 2

Used on

GrainGraphBasedReconstruction, MaParentGrainReconstruction, MaParentGrainReconstructionAdvanced

MATLAB’s EBSD.findByLocation

source

Citing this page. This page is part of the documentation of MTEX, a free and open source MATLAB toolbox for analyzing and modeling crystallographic textures. It was written by The MTEX Developers and is published at https://mtex-toolbox.github.io/EBSD.findByLocation_py.html. If you use MTEX, or reuse text or figures from this page, in your research, please cite

F. Bachmann, R. Hielscher, H. Schaeben: Texture Analysis with MTEX - Free and Open Source Software Toolbox, Solid State Phenomena 160 (2010), 63-68. 10.4028/www.scientific.net/SSP.160.63

BibTeX

@article{bachmann2010mtex,
  author  = {F. Bachmann and R. Hielscher and H. Schaeben},
  title   = {Texture Analysis with MTEX - Free and Open Source Software Toolbox},
  journal = {Solid State Phenomena},
  volume  = {160},
  pages   = {63-68},
  year    = {2010},
  doi     = {10.4028/www.scientific.net/SSP.160.63},
  url     = {https://doi.org/10.4028/www.scientific.net/SSP.160.63}
}

Other papers describing specific MTEX methods are listed under Publications — please cite the one that best fits your application. The MTEX source code is licensed under the GNU General Public License v2.0; the text and figures of this documentation are licensed under CC BY 4.0, which permits reuse — including by automated systems — provided The MTEX Developers and this page are credited.

EBSD.findByLocation