pymcapostbatch(1)
β¨ pymcapostbatch(1) β¨
okay bestie, welcome to the PyMca X-Ray Fluorescence Toolkit manual page for pymcapostbatch β section 1 of the manual, coming at you from the fine people at ESRF. this is the batch result analysis application and she is lowkey iconic, let's get into it π
π¦ NAME π¦
pymcapostbatch β the PyMca batch result analysis application. that's it, that's the whole vibe. periodt.
πΈ SYNOPSIS πΈ
pymcapostbatch [FILE1] [FILE2] ...
π DESCRIPTION π
okay so first things first: this bad boy starts the graphical user interface of the PyMca X-Ray Fluorescence Toolkit image correlation tool. GUI girlies rise up π«Ά
here's the tea though β you don't usually launch this yourself, because this tool is automatically launched by the PyMca X-ray fluorescence toolkit after a batch analysis. so it just β¨appearsβ¨ like magic when the toolkit is done doing its thing. main character entrance, honestly.
now for what she actually does: it lets you superpose up to three images in RED, GREEN and BLUE so you can investigate correlations among them. very RGB, very aesthetic π. but there's a catch, bestie β all the images have to be of the same dimension. no mixing and matching sizes, she will not tolerate it π
the program also builds a table with all the input images, but ngl β only three of them can be superposed at the same time. three is the limit, that's the rule, don't fight it π
and finally, she's not just a pretty face: this program also offers the possibility to perform mathematical operations among the images and simple multivariate analysis. math AND visuals? she ate, fr fr π₯
π EXAMPLES π
start her up with no files at all:
pymcapostbatch
this launches the program with a file browser so you can go pick your input files yourself. shopping spree but for data ποΈ
or feed her the files directly:
pymcapostbatch file1.tif file2.tif file3.tif file4.tif
this tries to open the files named file1.tif, file2.tif, file3.tif and file4.tif. tries being the key word, no cap β if they're not there she simply cannot π
π SEE ALSO π
ImageJ
that's the whole page bestie, go forth and correlate those images π
π written up by ESRF, dated March 2012, and shipped as part of the PyMca X-Ray Fluorescence Toolkit. thanks for coming to my TED talk, mwah πβ¨
π¦ where this page comes from
- debian bookworm: pymca 5.8.0+dfsg-2 Β· MIT
- debian trixie: pymca 5.9.4-1 Β· MIT
- fedora 43: PyMca 5.9.4-5.fc43 Β· GPL-2.0-or-later
- fedora 44: PyMca 5.9.4-8.fc44 Β· GPL-2.0-or-later
- ubuntu jammy: pymca 5.7.1+dfsg-1build1 Β· MIT
- ubuntu noble: pymca 5.9.2+dfsg-2build1 Β· MIT
- ubuntu questing: pymca 5.9.4-1
- ubuntu resolute: pymca 5.9.4-1build2 Β· MIT
- ubuntu stonking: pymca 5.9.4-2 Β· MIT
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash on : a language model's rewrite of the original, under its terms