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Last modified by rangeadm on 2025/04/23 16:13
From version 1.1
edited by sendels
on 2019/05/16 12:46
Change comment: There is no comment for this version
To version 4.1
edited by sndueste
on 2020/02/05 15:18
Change comment: There is no comment for this version

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1 -XWiki.sendels
1 +XWiki.sndueste
Content
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1 -Here you can find a small python script (by (% class="twikiNewLink" %)[[MartinB>>url:http://hasfweb.desy.de/bin/edit/Setup/MartinB?topicparent=Setup.PartialCoherenceSimulation;nowysiwyg=0||rel="nofollow" shape="rect"]](%%)) implementing the partial coherence methode as described in Thomas Pfeifer, Yuhai Jiang, Stefan Düsterer, Robert Moshammer, and Joachim Ullrich, Partial-coherence method to model experimental free-electron laser pulse statistics, Opt. Lett. 35, 3441-3443 (2010); [[link to the paper~[~[image:url:http://hasfweb.desy.de/pub/TWiki/TWikiDocGraphics/external-link.gif~|~|width="13" height="12"~]~]>>url:http://dx.doi.org/10.1364/OL.35.003441||shape="rect"]]
2 -\\\\Simulations like this:
3 -[[image:url:http://hasfweb.desy.de/pub/Setup/PartialCoherenceSimulation/partia__coherence2.png||alt="partia__coherence2.png" width="631" height="481"]]
4 -\\can be easily created with the script ( the script can be downloaded in the attachment table below):
5 -[[image:url:http://hasfweb.desy.de/pub/Setup/PartialCoherenceSimulation/partia__coherence1.png||alt="partia__coherence1.png" width="812" height="984"]]
1 +In order to simulate the temporal and spectral distribution of SASE pulses there is an easy way based random fluctuations filtered spectraly and temporally.
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3 +The only input parameters are the spectral bandwidth and the pulse duration.
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5 +Here you can find a small python script (by (% class="twikiNewLink" %)MartinB(%%)) implementing the partial coherence methode as described in Thomas Pfeifer et al. //Partial-coherence method to model experimental free-electron laser pulse statistics,// Opt. Lett. 35, 3441-3443 (2010); [[link to the paper>>url:http://dx.doi.org/10.1364/OL.35.003441||shape="rect"]]
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7 +The pulse shapes in time AND corresponding spectral dstribution can be easily created with the Jupyter Notebook**[[attach:SASEPulseGenV2.ipynb]]**
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10 +Some examples of results:
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14 +[[image:attach:partia__coherence2.png]] or: [[image:attach:image2020-2-5_15-14-4.png||width="480"]]
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24 +Here are the screenshots of the script:
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26 +[[image:attach:partia__coherence1.png]]
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