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@@ -47,7 +47,7 @@ __channelResolutionInPs = 50.0 # >= 10 ... Note: this value is internally l
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__bkgrd_startIndex = 800;
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__bkgrd_count = 190; # number of channels with respect to the 'startIndex'
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```
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2. execute <b>pyDCONTINPALS.py</b><br>
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2. execute <b>pyDCONTINPALS.py</b> (note: all binaries must be placed into the same folder!)<br>
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3. finished. You should see the results as shown above in the figure if you are running in the demo mode <i>(__demoMode = True)</i>.
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[R.B. Gregory, Y. Zhu, Analysis of positron annihilation lifetime data by numerical laplace inversion with the program CONTIN, Nucl. Instruments Methods Phys. Res. Sect. A Accel. Spectrometers, Detect. Assoc. Equip. 290 (1990) 172–182. doi:10.1016/0168-9002(90)90358-D.](https://doi.org/10.1016/0168-9002(90)90358-D).
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You can cite all versions of pyDCONTINPALS by using the <b>DOI XX.XXX/zenodo.XXXXXX</b>. This DOI represents all versions, and will always resolve to the latest one.<br>
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You can cite all versions of pyDCONTINPALS by using the <b>DOI 10.5281/zenodo.3665474</b>. This DOI represents all versions, and will always resolve to the latest one.<br>
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[![DOI](XXX)](XXX)
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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3665474.svg)](https://doi.org/10.5281/zenodo.3665475)
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## v1.x
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pyDCONTINPALS v1.0:<br>[![DOI](XXX)](XXX)<br>
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pyDCONTINPALS v1.0:<br>[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3665475.svg)](https://doi.org/10.5281/zenodo.3665475)<br>
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# Requirements
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- [NumPy](http://www.numpy.org/)

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