2023-12-19: website update

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+# Physics of Risk blog
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+This repository will always contain a single commit with the most recent generated files. For source files (or version history) please refer to our other repositories.
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diff --git a/feeds/rss.xml b/feeds/rss.xml
@@ -0,0 +1,76 @@
+<?xml version="1.0" encoding="utf-8"?>
+<rss version="2.0"><channel><title>Physics of Risk</title><link>https://rf.mokslasplius.lt/</link><description></description><lastBuildDate>Tue, 19 Dec 2023 08:00:00 +0200</lastBuildDate><item><title>Noise generated by a single charge carrier</title><link>https://rf.mokslasplius.lt/noise-generated-by-single-charge-carrier/</link><description>&lt;p&gt;&lt;a href="/tag/shot-noise/"&gt;Shot noise&lt;/a&gt; can be observed in variety of materials,
+devices and systems. Let us consider one of the simplest examples from
+physics: noise generated by trapping and detrapping of a single charge
+carrier.&lt;/p&gt;
+</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 19 Dec 2023 08:00:00 +0200</pubDate><guid isPermaLink="false">tag:rf.mokslasplius.lt,2023-12-19:/noise-generated-by-single-charge-carrier/</guid><category>2023</category><category>Interactive models</category><category>statistics</category><category>spectral density</category><category>shot noise</category><category>Lorentzian</category><category>random telegraph noise</category></item><item><title>Shot noise in continuous time</title><link>https://rf.mokslasplius.lt/shot-noise-continuous-time/</link><description>&lt;p&gt;&lt;a href="https://rf.mokslasplius.lt/shot-noise/"&gt;Last time&lt;/a&gt; we have moved away from
+mathematical abstraction of &lt;a href="/tag/point-process/"&gt;point events&lt;/a&gt; by
+considering pulses of finite duration. Yet the theory we have derived in the
+&lt;a href="https://rf.mokslasplius.lt/shot-noise/"&gt;earlier post&lt;/a&gt; did not fully match
+the simulated &lt;a href="/tag/spectral-density/"&gt;power spectral density&lt;/a&gt;. In this post
+we will see that the discrepancy close to the &lt;a href="https://en.wikipedia.org/wiki/Nyquist_frequency"&gt;Nyquist
+frequency&lt;/a&gt;
+arises due to the observations being made in discrete time.&lt;/p&gt;
+</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 05 Dec 2023 08:00:00 +0200</pubDate><guid isPermaLink="false">tag:rf.mokslasplius.lt,2023-12-05:/shot-noise-continuous-time/</guid><category>2023</category><category>Interactive models</category><category>statistics</category><category>Fourier transform</category><category>spectral density</category><category>shot noise</category></item><item><title>A. Hajimiri: Shot noise and other noises</title><link>https://rf.mokslasplius.lt/a-hajimiri-shot-noise-and-other-noises/</link><description>&lt;p&gt;The following video by prof. Ali Hajimiri discusses various types of noises
+often seen in physical systems. I have found it and watched it in
+preparation to our &lt;a href="https://rf.mokslasplius.lt/shot-noise/"&gt;previous post on shot
+noise&lt;/a&gt;. I believe some of our
+readers may find it interesting too.&lt;/p&gt;
+&lt;div class="embed-responsive embed-responsive-16by9"&gt;&lt;iframe class="embed-responsive-item html5-embed html5-embed-youtube" src="https://www.youtube-nocookie.com/embed/Wu4cB9qbrBk" allowfullscreen&gt;&lt;/iframe&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 28 Nov 2023 08:00:00 +0200</pubDate><guid isPermaLink="false">tag:rf.mokslasplius.lt,2023-11-28:/a-hajimiri-shot-noise-and-other-noises/</guid><category>2023</category><category>video</category><category>A. Hajimiri</category><category>statistics</category><category>shot noise</category><category>1/f noise</category><category>spectral density</category></item><item><title>Shot noise</title><link>https://rf.mokslasplius.lt/shot-noise/</link><description>&lt;p&gt;In the last few posts we have looked at &lt;a href="/tag/spectral-density/"&gt;spectral
+densities&lt;/a&gt; of a select &lt;a href="/tag/point-process/"&gt;point
+processes&lt;/a&gt;. In those posts we have represented events
+as points on the time axis. Such approach is just an approximation, which is
+valid when the duration of events is negligible, but it is not always so.
+When the events have finite duration, but the process is otherwise identical
+to the Poisson process, we obtain a peculiar type of noise known as the
+&lt;a href="/tag/shot-noise/"&gt;shot noise&lt;/a&gt;.&lt;/p&gt;
+</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 21 Nov 2023 08:00:00 +0200</pubDate><guid isPermaLink="false">tag:rf.mokslasplius.lt,2023-11-21:/shot-noise/</guid><category>2023</category><category>Interactive models</category><category>statistics</category><category>Fourier transform</category><category>spectral density</category><category>shot noise</category></item><item><title>Point process with normal inter-event times</title><link>https://rf.mokslasplius.lt/point-process-psd-normal/</link><description>&lt;p&gt;I have also attended couple of conferences in the end of October. At
+&lt;a href="https://icnf-2023.sciencesconf.org/"&gt;International Conference on Noise and
+Fluctuations&lt;/a&gt; I got asked a question
+the gist of which was what would change in my model, if inter-event times
+would be normally distributed. I would expect that, in the particular case
+I was talking about, little would change, but let us make sure of that. In
+this post, we will take a look at point process, and we will revisit a more
+complicated topic I talked about later on.</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 07 Nov 2023 08:00:00 +0200</pubDate><guid isPermaLink="false">tag:rf.mokslasplius.lt,2023-11-07:/point-process-psd-normal/</guid><category>2023</category><category>Interactive models</category><category>statistics</category><category>point process</category><category>spectral density</category></item><item><title>B. Kaulakys: Nobel prize 2021: Laureates and their research</title><link>https://rf.mokslasplius.lt/b-kaulakys-nobel-prize-2021/</link><description>&lt;p&gt;A member of our research group gave a talk on Nobel prize awarded in 2021 at
+&lt;a href="https://www.ff.vu.lt/lnfk-45"&gt;45th Lithuanian National Physics Conference&lt;/a&gt;.
+Habil. dr. &lt;a href="/tag/b-kaulakys/"&gt;B. Kaulakys&lt;/a&gt; talked about the research for
+which the prize was awarded and how this research relates to works by
+Lithuanian physicists (mostly our group) and mathematicians. We invite you
+to watch it, but note that the recording is in Lithuanian. The slides, also
+in Lithuanian, are available
+&lt;a href="https://rf.mokslasplius.lt/uploads/2023/Kaulakys_LNFK-2023.pdf"&gt;here&lt;/a&gt;.&lt;/p&gt;
+&lt;div class="embed-responsive embed-responsive-16by9"&gt;&lt;iframe class="embed-responsive-item html5-embed html5-embed-youtube" src="https://www.youtube-nocookie.com/embed/tT4I2JVdc0Q" allowfullscreen&gt;&lt;/iframe&gt;&lt;/div&gt;
+&lt;p&gt;Recording was made by the organizers of the conference. The full recording
+of the special session is available on the Facebook page of &lt;a href="https://www.facebook.com/FizikosFakultetasVU"&gt;Faculty of
+Physics at Vilnius
+University&lt;/a&gt;. See &lt;a href="https://www.facebook.com/FizikosFakultetasVU/videos/711826120389012"&gt;this
+post&lt;/a&gt;,
+if you are interested.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Bronislovas Kaulakys</dc:creator><pubDate>Tue, 31 Oct 2023 08:00:00 +0200</pubDate><guid isPermaLink="false">tag:rf.mokslasplius.lt,2023-10-31:/b-kaulakys-nobel-prize-2021/</guid><category>2023</category><category>video</category><category>B. Kaulakys</category><category>conference</category><category>LNFK</category><category>VU FF</category><category>Nobel prize</category><category>complex systems</category></item><item><title>PSD of a point process with power-law inter-event times</title><link>https://rf.mokslasplius.lt/point-process-psd-power-law/</link><description>&lt;p&gt;In &lt;a href="https://rf.mokslasplius.lt/point-process-psd-weibull/"&gt;the previous
+post&lt;/a&gt; we have seen
+that introducing memory into the memory-less &lt;a href="/tag/poisson-process/"&gt;Poisson
+process&lt;/a&gt; makes things very complicated. But we
+haven't yet still seen &lt;a href="/tag/1f-noise/"&gt;1/f noise&lt;/a&gt;. So now let us consider
+power-law distributed inter-event times!</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 17 Oct 2023 08:00:00 +0300</pubDate><guid isPermaLink="false">tag:rf.mokslasplius.lt,2023-10-17:/point-process-psd-power-law/</guid><category>2023</category><category>Interactive models</category><category>statistics</category><category>Poisson process</category><category>point process</category><category>Fourier transform</category><category>spectral density</category></item><item><title>Iain Explains: What is power spectral density?</title><link>https://rf.mokslasplius.lt/iain-explains-power-spectral-density/</link><description>&lt;p&gt;Over the last few posts we have been talking about the &lt;a href="/tag/spectral-density/"&gt;power spectral
+density&lt;/a&gt; of different random processes. We have used
+the fact that it is a modulus of the signal's &lt;a href="/tag/fourier-transform/"&gt;Fourier
+transform&lt;/a&gt; squared. But what is the meaning of the
+&lt;a href="/tag/spectral-density/"&gt;power spectral density&lt;/a&gt;?  Watch the video by "&lt;a href="https://www.youtube.com/@iain_explains"&gt;Iain
+Explains&lt;/a&gt;" below for some intuition.&lt;/p&gt;
+&lt;div class="embed-responsive embed-responsive-16by9"&gt;&lt;iframe class="embed-responsive-item html5-embed html5-embed-youtube" src="https://www.youtube-nocookie.com/embed/DoSLMEEo1Y0" allowfullscreen&gt;&lt;/iframe&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 10 Oct 2023 08:00:00 +0300</pubDate><guid isPermaLink="false">tag:rf.mokslasplius.lt,2023-10-10:/iain-explains-power-spectral-density/</guid><category>2023</category><category>Iain Explains</category><category>video</category><category>statistics</category><category>spectral density</category></item><item><title>PSD of a point process with non-exponential inter-event times</title><link>https://rf.mokslasplius.lt/point-process-psd-weibull/</link><description>&lt;p&gt;In &lt;a href="https://rf.mokslasplius.lt/poisson-process-psd/"&gt;the previous post&lt;/a&gt; we
+have seen that the &lt;a href="/tag/poisson-process/"&gt;Poisson process&lt;/a&gt; generates &lt;a href="/tag/white-noise/"&gt;white
+noise&lt;/a&gt;, which is not unexpected consequence of
+exponential distribution being a limit of geometric distribution. So, if we
+use non-exponential inter-event time distribution, we introduce memory into
+the process. As the distribution of inter-event times is no longer
+exponential, we now have not a &lt;a href="/tag/poisson-process/"&gt;Poisson process&lt;/a&gt;, but
+a &lt;a href="/tag/point-process/"&gt;point process&lt;/a&gt;.</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 03 Oct 2023 08:00:00 +0300</pubDate><guid isPermaLink="false">tag:rf.mokslasplius.lt,2023-10-03:/point-process-psd-weibull/</guid><category>2023</category><category>Interactive models</category><category>statistics</category><category>Poisson process</category><category>point process</category><category>Fourier transform</category><category>spectral density</category><category>ageing effects</category></item><item><title>PSD of a Poisson process</title><link>https://rf.mokslasplius.lt/poisson-process-psd/</link><description>&lt;p&gt;&lt;a href="https://rf.mokslasplius.lt/poisson-process/"&gt;Earlier&lt;/a&gt; we have
+started talking about the &lt;a href="/tag/poisson-process/"&gt;Poisson processes&lt;/a&gt;. In the
+few posts before the summer holidays we have driven our discussion towards
+&lt;a href="https://rf.mokslasplius.lt/waiting-time-paradox/"&gt;waiting time paradox&lt;/a&gt;,
+which is an interesting phenomenon we encounter in our day-to-day lives.
+Here, on Physics of Risk we have an interest in &lt;a href="https://rf.mokslasplius.lt/colors-of-noise/"&gt;colors of
+noise&lt;/a&gt; exhibited by variety of
+&lt;a href="/tag/stochastic-models/"&gt;stochastic processes&lt;/a&gt;. Thus in the next few posts
+let us examine the &lt;a href="/tag/spectral-density/"&gt;power spectral density&lt;/a&gt; of the
+Poisson process.&lt;/p&gt;
+</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 19 Sep 2023 08:00:00 +0300</pubDate><guid isPermaLink="false">tag:rf.mokslasplius.lt,2023-09-19:/poisson-process-psd/</guid><category>2023</category><category>Interactive models</category><category>statistics</category><category>Poisson process</category><category>Fourier transform</category><category>spectral density</category><category>white noise</category></item></channel></rss>