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Pim Nelissen
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content/en/projects/bsc-thesis.md
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authors = ["Pim Nelissen"]
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title = "Machine learning applied to radioactive decay data (Bachelor thesis)"
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date = "2024-06-27"
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{{< notice tip >}} The paper is available for [open access](http://lup.lub.lu.se/student-papers/record/9168893). {{< /notice >}}
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# Reflection
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This 6 month journey has been one with many challenges, but also one of a lot of personal growth. Life was not always easy during this semester, which had caused unfortunate delays in the project. As my supervisor assured me, this is how it always goes in research. Plans continuously change, timetables need adjusting and ambitious ideas put on hold. This project then certainly made me improve my planning skills. Dealing with setbacks was also more common in this rather independent project, compared to any coursework before.
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On an intellectual level, it was a challenge in the beginning to adjust to the academic writing style of papers. Information is more dense and sometimes not explained in detail, referring the reader to some other paper. This trail of research papers that one can go down, even in a small topic as the one I was researching, is truly eye-opening to me. The amount of information that is out there is unimaginable to me. The project also introduced me to new applications of statistics and tested some old statistical knowledge, such as that on exponential distributions, statistical moments like variance and higher order ones. On top of that, I enjoyed learning about Monte Carlo simulations. I had always figured this term to sound complicated, but to learn that it is a rather easy methodology which has such strong use cases in various real-world applications was very interesting to learn. While not the main focus of my thesis, I also enjoyed researching the experimental background, of the process of superheavy synthesis and how detection is done.
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# Official abstract
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Experimental nuclear structure data coming from superheavy nuclei synthesis experiments often consists of correlated alpha decay chains. In the absence of neutron detectors - which would fully characterize the exit channel after the fusion-evaporation reaction - the sequence of decay energies and half-lives are the 'fingerprint' of the exit channel itself. Experimental data in this region is sparse, and its interpretation can be liable to error or confirmation bias. A so-called "Schmidt test" is a method for determining the congruence of correlation times for a set of measurements of one decay step. Its outcome is not always entirely conclusive, however. This study evaluates the congruence derived from the Schmidt test using Monte Carlo simulated data with various level of contamination from incongruent data. Furthermore, the study also includes the evaluation of congruence of data stemming from single decays and multi-step decay chains. A multi-layer perceptron was trained on extracted features from simulated decay chain sets with one step. The Schmidt test performs well with larger decay sets and when the half-life of the contaminating species is longer than the original species by a factor 5 or 10. However, the test performs poorly in low counting statistics, where few recorded decay times are available. The newly proposed machine learning model outperforms the Schmidt test in certain high statistics scenarios, but also fails when few decay times are available. Its performance is also poor when the half-life of the contaminant is shorter than the original half-life. The learning behaviour of the model is analysed, showing significant contributions from higher statistical moments in training. Future work involves including chain correlations across multiple steps, alpha decay energies, as well as the potential use of alternative machine learning models.
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# Results
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One of the key results of the thesis was the heatmap in Figure 1, showing how the amount of contamination in a decay time data set (that is, number of decay times from a species other than the one we are interested in) affects the Schmidt test and its conclusions. This was tested for various factors of contaminant half lives. The result is that the Schmidt test seems rather unsensitive to any contaminants with a half life on the same order of magnitude as the species we seek to study. This was further motivation to look beyond the Schmidt test, which solely relies on variance of the dataset, to see if other statistical methods (e.g. machine learning) could be used.
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{{< figure
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src="/images/st_factors.png"
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caption="Figure 1: Heatmaps for the Schmidt test congruence for various contaminant half-lives. Each pixel is a unique combination of set size N and C contaminated decay times, where the value of the pixel represents the percentage of i=100 simulated decay chain sets with j=1 step for which the measure σ(Θ,exp) falls within the confidence interval, indicating likely congruence. The longer the contaminant half life is compared to the original, the more sets are deemed incongruent by the Schmidt test. Additionally, it can be seen that when nearly all of the decay times in the data set are from the contaminant species, the data becomes congruent again. The number of sets deemed congruent is somewhat symmetrical around the the line of 50% contamination."
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>}}
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content/en/projects/first-year-project.md
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authors = ["Pim Nelissen"]
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title = "Coupled Pendula & The Kuramoto Model (1st year experimental project)"
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date = "2021-06-15"
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{{< notice tip >}} Lund University wrote an article about our project. You can find it [here](https://www.fysik.lu.se/artikel/pandemisakert-nar-fysikstudenter-redovisar).
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(Note: the article is written in Swedish). {{< /notice >}}
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{{< youtube roK2gRDHWeE >}}
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<description>Recent content on Pim Nelissen</description>
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<description>Recent content on Pim Nelissen</description>
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<title>Machine learning applied to radioactive decay data (Bachelor thesis)</title>
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<description><div class="notice tip">
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 <i class="fa-solid fa-lightbulb" aria-hidden="true"></i>Tip
 </div>
 <div class="notice-content">The paper is available for <a href="http://lup.lub.lu.se/student-papers/record/9168893" class="external-link" target="_blank" rel="noopener">open access</a>.</div>
</div>

<h1 id="reflection">
 Reflection
 <a class="heading-link" href="#reflection">
 <i class="fa-solid fa-link" aria-hidden="true" title="Link to heading"></i>
 <span class="sr-only">Link to heading</span>
 </a>
</h1>
<p>This 6 month journey has been one with many challenges, but also one of a lot of personal growth. Life was not always easy during this semester, which had caused unfortunate delays in the project. As my supervisor assured me, this is how it always goes in research. Plans continuously change, timetables need adjusting and ambitious ideas put on hold. This project then certainly made me improve my planning skills. Dealing with setbacks was also more common in this rather independent project, compared to any coursework before.</p></description>
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<title>Coupled Pendula & The Kuramoto Model (1st year experimental project)</title>
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<description><div class="notice tip">
 <div class="notice-title">
 <i class="fa-solid fa-lightbulb" aria-hidden="true"></i>Tip
 </div>
 <div class="notice-content"><p>Lund University wrote an article about our project. You can find it <a href="https://www.fysik.lu.se/artikel/pandemisakert-nar-fysikstudenter-redovisar" class="external-link" target="_blank" rel="noopener">here</a>.</p>
<p>(Note: the article is written in Swedish).</p></div>
</div>

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<h2 id="-education">
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<div class="timeline">
 <div class="timeline-item">
 <div class="dot"></div>
 <div class="timeline-date">2024 - <i>now</i></div>
 <div class="timeline-content">
 <h4>M.Sc. in Computational Science (Physics)</h4>
 <p><i class="fas fa-university"></i> Lund University, Sweden 🇸🇪</p>
 <p><code>Numerical ODE/PDE solvers</code> <code>MATLAB</code> <code>Monte Carlo</code> <code>Subatomic Physics</code></p>
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 <h4>B.Sc. in Physics</h4>
 <p><i class="fas fa-university"></i> Lund University, Sweden 🇸🇪</p>
 <p><code>Python</code> <code>Deep learning</code> <code>Monte Carlo</code> <code>C#</code> <code>SQL</code></p>
 <li class="timeline-content">Bachelor thesis: <i>"Scrutinizing the Schmidt Test and Exploring the Use of Machine Learning for Statistical Assessment of Radioactive Decay Chains"</i>, Lund University Publications, 2024. <a href="http://lup.lub.lu.se/student-papers/record/9168893" target="_blank">Open Access</a></li>
 </div>
 </div>
</div>
<hr>
<h2 id="-professional-experience">
 💼 Professional Experience
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 <p><i class="fas fa-briefcase"></i> Jumbo Supermarkten, Netherlands 🇳🇱</p></description>
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<description><head>
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<h2 id="-education">
 🎓 Education
 <a class="heading-link" href="#-education">
 <i class="fa-solid fa-link" aria-hidden="true" title="Link to heading"></i>
 <span class="sr-only">Link to heading</span>
 </a>
</h2>
<div class="timeline">
 <div class="timeline-item">
 <div class="dot"></div>
 <div class="timeline-date">2024 - <i>now</i></div>
 <div class="timeline-content">
 <h4>M.Sc. in Computational Science (Physics)</h4>
 <p><i class="fas fa-university"></i> Lund University, Sweden 🇸🇪</p>
 <p><code>Numerical ODE/PDE solvers</code> <code>MATLAB</code> <code>Monte Carlo</code> <code>Subatomic Physics</code></p>
 </div>
 </div>
 <div class="timeline-item">
 <div class="dot"></div>
 <div class="timeline-date">2020 - 2024</div>
 <div class="timeline-content">
 <h4>B.Sc. in Physics</h4>
 <p><i class="fas fa-university"></i> Lund University, Sweden 🇸🇪</p>
 <p><code>Python</code> <code>Deep learning</code> <code>Monte Carlo</code> <code>C#</code> <code>SQL</code></p>
 <li class="timeline-content">Bachelor thesis: <i>"Scrutinizing the Schmidt Test and Exploring the Use of Machine Learning for Statistical Assessment of Radioactive Decay Chains"</i>, Lund University Publications, 2024. <a href="http://lup.lub.lu.se/student-papers/record/9168893" target="_blank">Open Access</a></li>
 </div>
 </div>
</div>
<hr>
<h2 id="-professional-experience">
 💼 Professional Experience
 <a class="heading-link" href="#-professional-experience">
 <i class="fa-solid fa-link" aria-hidden="true" title="Link to heading"></i>
 <span class="sr-only">Link to heading</span>
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<div class="timeline">
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 <div class="dot"></div>
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 <p><i class="fas fa-briefcase"></i> Jumbo Supermarkten, Netherlands 🇳🇱</p></description>
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Machine learning applied to radioactive decay data (Bachelor thesis) · Pim Nelissen
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This 6 month journey has been one with many challenges, but also one of a lot of personal growth. Life was not always easy during this semester, which had caused unfortunate delays in the project. As my supervisor assured me, this is how it always goes in research. Plans continuously change, timetables need adjusting and ambitious ideas put on hold. This project then certainly made me improve my planning skills. Dealing with setbacks was also more common in this rather independent project, compared to any coursework before.">
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<meta name="twitter:description" content="Tip The paper is available for open access. Reflection Link to heading This 6 month journey has been one with many challenges, but also one of a lot of personal growth. Life was not always easy during this semester, which had caused unfortunate delays in the project. As my supervisor assured me, this is how it always goes in research. Plans continuously change, timetables need adjusting and ambitious ideas put on hold. This project then certainly made me improve my planning skills. Dealing with setbacks was also more common in this rather independent project, compared to any coursework before.">
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<meta property="og:description" content="Tip The paper is available for open access. Reflection Link to heading This 6 month journey has been one with many challenges, but also one of a lot of personal growth. Life was not always easy during this semester, which had caused unfortunate delays in the project. As my supervisor assured me, this is how it always goes in research. Plans continuously change, timetables need adjusting and ambitious ideas put on hold. This project then certainly made me improve my planning skills. Dealing with setbacks was also more common in this rather independent project, compared to any coursework before.">
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Machine learning applied to radioactive decay data (Bachelor thesis)
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<p>This 6 month journey has been one with many challenges, but also one of a lot of personal growth. Life was not always easy during this semester, which had caused unfortunate delays in the project. As my supervisor assured me, this is how it always goes in research. Plans continuously change, timetables need adjusting and ambitious ideas put on hold. This project then certainly made me improve my planning skills. Dealing with setbacks was also more common in this rather independent project, compared to any coursework before.</p>
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<p>On an intellectual level, it was a challenge in the beginning to adjust to the academic writing style of papers. Information is more dense and sometimes not explained in detail, referring the reader to some other paper. This trail of research papers that one can go down, even in a small topic as the one I was researching, is truly eye-opening to me. The amount of information that is out there is unimaginable to me. The project also introduced me to new applications of statistics and tested some old statistical knowledge, such as that on exponential distributions, statistical moments like variance and higher order ones. On top of that, I enjoyed learning about Monte Carlo simulations. I had always figured this term to sound complicated, but to learn that it is a rather easy methodology which has such strong use cases in various real-world applications was very interesting to learn. While not the main focus of my thesis, I also enjoyed researching the experimental background, of the process of superheavy synthesis and how detection is done.</p>
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<p>Experimental nuclear structure data coming from superheavy nuclei synthesis experiments often consists of correlated alpha decay chains. In the absence of neutron detectors - which would fully characterize the exit channel after the fusion-evaporation reaction - the sequence of decay energies and half-lives are the ‘fingerprint’ of the exit channel itself. Experimental data in this region is sparse, and its interpretation can be liable to error or confirmation bias. A so-called “Schmidt test” is a method for determining the congruence of correlation times for a set of measurements of one decay step. Its outcome is not always entirely conclusive, however. This study evaluates the congruence derived from the Schmidt test using Monte Carlo simulated data with various level of contamination from incongruent data. Furthermore, the study also includes the evaluation of congruence of data stemming from single decays and multi-step decay chains. A multi-layer perceptron was trained on extracted features from simulated decay chain sets with one step. The Schmidt test performs well with larger decay sets and when the half-life of the contaminating species is longer than the original species by a factor 5 or 10. However, the test performs poorly in low counting statistics, where few recorded decay times are available. The newly proposed machine learning model outperforms the Schmidt test in certain high statistics scenarios, but also fails when few decay times are available. Its performance is also poor when the half-life of the contaminant is shorter than the original half-life. The learning behaviour of the model is analysed, showing significant contributions from higher statistical moments in training. Future work involves including chain correlations across multiple steps, alpha decay energies, as well as the potential use of alternative machine learning models.</p>
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<p><img src="st_factors.png" alt="Schmidt Test heatmaps"></p>
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This 6 month journey has been one with many challenges, but also one of a lot of personal growth. Life was not always easy during this semester, which had caused unfortunate delays in the project. As my supervisor assured me, this is how it always goes in research. Plans continuously change, timetables need adjusting and ambitious ideas put on hold. This project then certainly made me improve my planning skills. Dealing with setbacks was also more common in this rather independent project, compared to any coursework before.">
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<meta property="og:description" content="Tip The paper is available for open access. Reflection Link to heading This 6 month journey has been one with many challenges, but also one of a lot of personal growth. Life was not always easy during this semester, which had caused unfortunate delays in the project. As my supervisor assured me, this is how it always goes in research. Plans continuously change, timetables need adjusting and ambitious ideas put on hold. This project then certainly made me improve my planning skills. Dealing with setbacks was also more common in this rather independent project, compared to any coursework before.">
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Machine learning applied to radioactive decay data (Bachelor thesis)
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<p>This 6 month journey has been one with many challenges, but also one of a lot of personal growth. Life was not always easy during this semester, which had caused unfortunate delays in the project. As my supervisor assured me, this is how it always goes in research. Plans continuously change, timetables need adjusting and ambitious ideas put on hold. This project then certainly made me improve my planning skills. Dealing with setbacks was also more common in this rather independent project, compared to any coursework before.</p>
|
||||||
|
<p>On an intellectual level, it was a challenge in the beginning to adjust to the academic writing style of papers. Information is more dense and sometimes not explained in detail, referring the reader to some other paper. This trail of research papers that one can go down, even in a small topic as the one I was researching, is truly eye-opening to me. The amount of information that is out there is unimaginable to me. The project also introduced me to new applications of statistics and tested some old statistical knowledge, such as that on exponential distributions, statistical moments like variance and higher order ones. On top of that, I enjoyed learning about Monte Carlo simulations. I had always figured this term to sound complicated, but to learn that it is a rather easy methodology which has such strong use cases in various real-world applications was very interesting to learn. While not the main focus of my thesis, I also enjoyed researching the experimental background, of the process of superheavy synthesis and how detection is done.</p>
|
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<p>Experimental nuclear structure data coming from superheavy nuclei synthesis experiments often consists of correlated alpha decay chains. In the absence of neutron detectors - which would fully characterize the exit channel after the fusion-evaporation reaction - the sequence of decay energies and half-lives are the ‘fingerprint’ of the exit channel itself. Experimental data in this region is sparse, and its interpretation can be liable to error or confirmation bias. A so-called “Schmidt test” is a method for determining the congruence of correlation times for a set of measurements of one decay step. Its outcome is not always entirely conclusive, however. This study evaluates the congruence derived from the Schmidt test using Monte Carlo simulated data with various level of contamination from incongruent data. Furthermore, the study also includes the evaluation of congruence of data stemming from single decays and multi-step decay chains. A multi-layer perceptron was trained on extracted features from simulated decay chain sets with one step. The Schmidt test performs well with larger decay sets and when the half-life of the contaminating species is longer than the original species by a factor 5 or 10. However, the test performs poorly in low counting statistics, where few recorded decay times are available. The newly proposed machine learning model outperforms the Schmidt test in certain high statistics scenarios, but also fails when few decay times are available. Its performance is also poor when the half-life of the contaminant is shorter than the original half-life. The learning behaviour of the model is analysed, showing significant contributions from higher statistical moments in training. Future work involves including chain correlations across multiple steps, alpha decay energies, as well as the potential use of alternative machine learning models.</p>
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<p>One of the key results of the thesis was the heatmap in Figure 1, showing how the amount of contamination in a decay time data set (that is, number of decay times from a species other than the one we are interested in) affects the Schmidt test and its conclusions. This was tested for various factors of contaminant half lives. The result is that the Schmidt test seems rather unsensitive to any contaminants with a half life on the same order of magnitude as the species we seek to study. This was further motivation to look beyond the Schmidt test, which solely relies on variance of the dataset, to see if other statistical methods (e.g. machine learning) could be used.</p>
|
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<figure><img src="/images/st_factors.png"
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alt="Figure 1: Heatmaps for the Schmidt test congruence for various contaminant half-lives. Each pixel is a unique combination of set size N and C contaminated decay times, where the value of the pixel represents the percentage of i=100 simulated decay chain sets with j=1 step for which the measure σ(Θ,exp) falls within the confidence interval, indicating likely congruence. The longer the contaminant half life is compared to the original, the more sets are deemed incongruent by the Schmidt test. Additionally, it can be seen that when nearly all of the decay times in the data set are from the contaminant species, the data becomes congruent again. The number of sets deemed congruent is somewhat symmetrical around the the line of 50% contamination."><figcaption>
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||||||
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<p>Figure 1: Heatmaps for the Schmidt test congruence for various contaminant half-lives. Each pixel is a unique combination of set size N and C contaminated decay times, where the value of the pixel represents the percentage of i=100 simulated decay chain sets with j=1 step for which the measure σ(Θ,exp) falls within the confidence interval, indicating likely congruence. The longer the contaminant half life is compared to the original, the more sets are deemed incongruent by the Schmidt test. Additionally, it can be seen that when nearly all of the decay times in the data set are from the contaminant species, the data becomes congruent again. The number of sets deemed congruent is somewhat symmetrical around the the line of 50% contamination.</p>
|
||||||
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Lund University wrote an article about our project. You can find it here.
|
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|
(Note: the article is written in Swedish).
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Coupled Pendula & The Kuramoto Model (1st year experimental project)
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<i class="fa-solid fa-lightbulb" aria-hidden="true"></i>Tip
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</div>
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|
<div class="notice-content"><p>Lund University wrote an article about our project. You can find it <a href="https://www.fysik.lu.se/artikel/pandemisakert-nar-fysikstudenter-redovisar" class="external-link" target="_blank" rel="noopener">here</a>.</p>
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©
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2024 -
|
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|
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|
2025
|
||||||
|
Pim Nelissen
|
||||||
|
·
|
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|
|
||||||
|
Powered by <a href="https://gohugo.io/" target="_blank" rel="noopener">Hugo</a> & <a href="https://github.com/luizdepra/hugo-coder/" target="_blank" rel="noopener">Coder</a>.
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<a class="title-link" href="//localhost:1313/en/projects/">Projects</a>
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Projects
|
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|
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|
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|
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|
<span class="date">June 27, 2024</span>
|
||||||
|
<a class="title" href="/en/projects/bsc-thesis/">Machine learning applied to radioactive decay data (Bachelor thesis)</a>
|
||||||
|
</li>
|
||||||
|
|
||||||
|
<li>
|
||||||
|
<span class="date">June 15, 2021</span>
|
||||||
|
<a class="title" href="/en/projects/first-year-project/">Coupled Pendula & The Kuramoto Model (1st year experimental project)</a>
|
||||||
|
</li>
|
||||||
|
|
||||||
|
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|
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|
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|
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|
||||||
<p>Lorem</p>
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|
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|
|
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|
|
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|
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|
||||||
|
|
||||||
|
|||||||
26
public/en/projects/index.xml
Normal file
26
public/en/projects/index.xml
Normal file
@ -0,0 +1,26 @@
|
|||||||
|
<?xml version="1.0" encoding="utf-8" standalone="yes"?>
|
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|
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
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|
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|
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|
<description>Recent content in Projects on Pim Nelissen</description>
|
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|
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|
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|
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|
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|
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|
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|
||||||
|
<title>Machine learning applied to radioactive decay data (Bachelor thesis)</title>
|
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|
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|
||||||
|
<pubDate>Thu, 27 Jun 2024 00:00:00 +0000</pubDate>
|
||||||
|
<guid>//localhost:1313/en/projects/bsc-thesis/</guid>
|
||||||
|
<description><div class="notice tip">
 <div class="notice-title">
 <i class="fa-solid fa-lightbulb" aria-hidden="true"></i>Tip
 </div>
 <div class="notice-content">The paper is available for <a href="http://lup.lub.lu.se/student-papers/record/9168893" class="external-link" target="_blank" rel="noopener">open access</a>.</div>
</div>

<h1 id="reflection">
 Reflection
 <a class="heading-link" href="#reflection">
 <i class="fa-solid fa-link" aria-hidden="true" title="Link to heading"></i>
 <span class="sr-only">Link to heading</span>
 </a>
</h1>
<p>This 6 month journey has been one with many challenges, but also one of a lot of personal growth. Life was not always easy during this semester, which had caused unfortunate delays in the project. As my supervisor assured me, this is how it always goes in research. Plans continuously change, timetables need adjusting and ambitious ideas put on hold. This project then certainly made me improve my planning skills. Dealing with setbacks was also more common in this rather independent project, compared to any coursework before.</p></description>
|
||||||
|
</item>
|
||||||
|
<item>
|
||||||
|
<title>Coupled Pendula & The Kuramoto Model (1st year experimental project)</title>
|
||||||
|
<link>//localhost:1313/en/projects/first-year-project/</link>
|
||||||
|
<pubDate>Tue, 15 Jun 2021 00:00:00 +0000</pubDate>
|
||||||
|
<guid>//localhost:1313/en/projects/first-year-project/</guid>
|
||||||
|
<description><div class="notice tip">
 <div class="notice-title">
 <i class="fa-solid fa-lightbulb" aria-hidden="true"></i>Tip
 </div>
 <div class="notice-content"><p>Lund University wrote an article about our project. You can find it <a href="https://www.fysik.lu.se/artikel/pandemisakert-nar-fysikstudenter-redovisar" class="external-link" target="_blank" rel="noopener">here</a>.</p>
<p>(Note: the article is written in Swedish).</p></div>
</div>

<div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;">
 <iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="allowfullscreen" loading="eager" referrerpolicy="strict-origin-when-cross-origin" src="https://www.youtube.com/embed/roK2gRDHWeE?autoplay=0&amp;controls=1&amp;end=0&amp;loop=0&amp;mute=0&amp;start=0" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;" title="YouTube video"></iframe>
 </div></description>
|
||||||
|
</item>
|
||||||
|
</channel>
|
||||||
|
</rss>
|
||||||
10
public/en/projects/page/1/index.html
Normal file
10
public/en/projects/page/1/index.html
Normal file
@ -0,0 +1,10 @@
|
|||||||
|
<!DOCTYPE html>
|
||||||
|
<html lang="en">
|
||||||
|
<head>
|
||||||
|
<title>//localhost:1313/en/projects/</title>
|
||||||
|
<link rel="canonical" href="//localhost:1313/en/projects/">
|
||||||
|
<meta name="robots" content="noindex">
|
||||||
|
<meta charset="utf-8">
|
||||||
|
<meta http-equiv="refresh" content="0; url=//localhost:1313/en/projects/">
|
||||||
|
</head>
|
||||||
|
</html>
|
||||||
BIN
public/en/projects/st_factors.png
Normal file
BIN
public/en/projects/st_factors.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 446 KiB |
@ -2,18 +2,30 @@
|
|||||||
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
|
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
|
||||||
xmlns:xhtml="http://www.w3.org/1999/xhtml">
|
xmlns:xhtml="http://www.w3.org/1999/xhtml">
|
||||||
<url>
|
<url>
|
||||||
|
<loc>//localhost:1313/en/projects/bsc-thesis/</loc>
|
||||||
|
<lastmod>2023-07-05T00:00:00+00:00</lastmod>
|
||||||
|
</url><url>
|
||||||
|
<loc>//localhost:1313/en/tags/markdown/</loc>
|
||||||
|
<lastmod>2023-07-05T00:00:00+00:00</lastmod>
|
||||||
|
</url><url>
|
||||||
|
<loc>//localhost:1313/en/</loc>
|
||||||
|
<lastmod>2023-07-05T00:00:00+00:00</lastmod>
|
||||||
|
</url><url>
|
||||||
|
<loc>//localhost:1313/en/projects/</loc>
|
||||||
|
<lastmod>2023-07-05T00:00:00+00:00</lastmod>
|
||||||
|
</url><url>
|
||||||
|
<loc>//localhost:1313/en/tags/</loc>
|
||||||
|
<lastmod>2023-07-05T00:00:00+00:00</lastmod>
|
||||||
|
</url><url>
|
||||||
|
<loc>//localhost:1313/en/tags/text/</loc>
|
||||||
|
<lastmod>2023-07-05T00:00:00+00:00</lastmod>
|
||||||
|
</url><url>
|
||||||
<loc>//localhost:1313/en/categories/</loc>
|
<loc>//localhost:1313/en/categories/</loc>
|
||||||
</url><url>
|
</url><url>
|
||||||
<loc>//localhost:1313/en/contact/</loc>
|
<loc>//localhost:1313/en/contact/</loc>
|
||||||
</url><url>
|
</url><url>
|
||||||
<loc>//localhost:1313/en/cv/</loc>
|
<loc>//localhost:1313/en/cv/</loc>
|
||||||
</url><url>
|
|
||||||
<loc>//localhost:1313/en/</loc>
|
|
||||||
</url><url>
|
|
||||||
<loc>//localhost:1313/en/projects/</loc>
|
|
||||||
</url><url>
|
</url><url>
|
||||||
<loc>//localhost:1313/en/skills/</loc>
|
<loc>//localhost:1313/en/skills/</loc>
|
||||||
</url><url>
|
|
||||||
<loc>//localhost:1313/en/tags/</loc>
|
|
||||||
</url>
|
</url>
|
||||||
</urlset>
|
</urlset>
|
||||||
|
|||||||
@ -199,9 +199,9 @@ From my background in physics and computational science, I have a strong foundat
|
|||||||
</div>
|
</div>
|
||||||
</div>
|
</div>
|
||||||
</div>
|
</div>
|
||||||
<h2 id="selection-of-courses">
|
<h2 id="-selection-of-courses">
|
||||||
Selection of courses
|
🎓 Selection of courses
|
||||||
<a class="heading-link" href="#selection-of-courses">
|
<a class="heading-link" href="#-selection-of-courses">
|
||||||
<i class="fa-solid fa-link" aria-hidden="true" title="Link to heading"></i>
|
<i class="fa-solid fa-link" aria-hidden="true" title="Link to heading"></i>
|
||||||
<span class="sr-only">Link to heading</span>
|
<span class="sr-only">Link to heading</span>
|
||||||
</a>
|
</a>
|
||||||
|
|||||||
@ -142,6 +142,28 @@
|
|||||||
<ul>
|
<ul>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<li>
|
||||||
|
<span class="taxonomy-element">
|
||||||
|
<a href="//localhost:1313/en/tags/markdown/">markdown</a>
|
||||||
|
<sup>1</sup>
|
||||||
|
</span>
|
||||||
|
</li>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<li>
|
||||||
|
<span class="taxonomy-element">
|
||||||
|
<a href="//localhost:1313/en/tags/text/">text</a>
|
||||||
|
<sup>1</sup>
|
||||||
|
</span>
|
||||||
|
</li>
|
||||||
|
|
||||||
|
|
||||||
</ul>
|
</ul>
|
||||||
</section>
|
</section>
|
||||||
|
|
||||||
|
|||||||
@ -6,6 +6,21 @@
|
|||||||
<description>Recent content in Tags on Pim Nelissen</description>
|
<description>Recent content in Tags on Pim Nelissen</description>
|
||||||
<generator>Hugo</generator>
|
<generator>Hugo</generator>
|
||||||
<language>en</language>
|
<language>en</language>
|
||||||
|
<lastBuildDate>Wed, 05 Jul 2023 00:00:00 +0000</lastBuildDate>
|
||||||
<atom:link href="//localhost:1313/en/tags/index.xml" rel="self" type="application/rss+xml" />
|
<atom:link href="//localhost:1313/en/tags/index.xml" rel="self" type="application/rss+xml" />
|
||||||
|
<item>
|
||||||
|
<title>Markdown</title>
|
||||||
|
<link>//localhost:1313/en/tags/markdown/</link>
|
||||||
|
<pubDate>Wed, 05 Jul 2023 00:00:00 +0000</pubDate>
|
||||||
|
<guid>//localhost:1313/en/tags/markdown/</guid>
|
||||||
|
<description></description>
|
||||||
|
</item>
|
||||||
|
<item>
|
||||||
|
<title>Text</title>
|
||||||
|
<link>//localhost:1313/en/tags/text/</link>
|
||||||
|
<pubDate>Wed, 05 Jul 2023 00:00:00 +0000</pubDate>
|
||||||
|
<guid>//localhost:1313/en/tags/text/</guid>
|
||||||
|
<description></description>
|
||||||
|
</item>
|
||||||
</channel>
|
</channel>
|
||||||
</rss>
|
</rss>
|
||||||
|
|||||||
225
public/en/tags/markdown/index.html
Normal file
225
public/en/tags/markdown/index.html
Normal file
@ -0,0 +1,225 @@
|
|||||||
|
<!DOCTYPE html>
|
||||||
|
<html lang="en">
|
||||||
|
|
||||||
|
<head><script src="/livereload.js?mindelay=10&v=2&port=1313&path=livereload" data-no-instant defer></script>
|
||||||
|
<title>Tag: Markdown · Pim Nelissen</title>
|
||||||
|
<meta charset="utf-8">
|
||||||
|
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||||
|
<meta name="color-scheme" content="light dark">
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<meta name="author" content="Pim Nelissen">
|
||||||
|
<meta name="description" content="">
|
||||||
|
<meta name="keywords" content="">
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<meta name="twitter:card" content="summary">
|
||||||
|
<meta name="twitter:title" content="Markdown">
|
||||||
|
|
||||||
|
<meta property="og:url" content="//localhost:1313/en/tags/markdown/">
|
||||||
|
<meta property="og:site_name" content="Pim Nelissen">
|
||||||
|
<meta property="og:title" content="Markdown">
|
||||||
|
<meta property="og:locale" content="en">
|
||||||
|
<meta property="og:type" content="website">
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<link rel="canonical" href="//localhost:1313/en/tags/markdown/">
|
||||||
|
|
||||||
|
|
||||||
|
<link rel="preload" href="/fonts/fa-brands-400.woff2" as="font" type="font/woff2" crossorigin>
|
||||||
|
<link rel="preload" href="/fonts/fa-regular-400.woff2" as="font" type="font/woff2" crossorigin>
|
||||||
|
<link rel="preload" href="/fonts/fa-solid-900.woff2" as="font" type="font/woff2" crossorigin>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<link rel="stylesheet" href="/css/coder.css" media="screen">
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<link rel="stylesheet" href="/css/coder-dark.css" media="screen">
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<link rel="stylesheet" href="/css/timeline.css">
|
||||||
|
|
||||||
|
<link rel="icon" type="image/svg+xml" href="/images/favicon.svg" sizes="any">
|
||||||
|
<link rel="icon" type="image/png" href="/images/favicon-32x32.png" sizes="32x32">
|
||||||
|
<link rel="icon" type="image/png" href="/images/favicon-16x16.png" sizes="16x16">
|
||||||
|
|
||||||
|
<link rel="apple-touch-icon" href="/images/apple-touch-icon.png">
|
||||||
|
<link rel="apple-touch-icon" sizes="180x180" href="/images/apple-touch-icon.png">
|
||||||
|
|
||||||
|
<link rel="manifest" href="/site.webmanifest">
|
||||||
|
<link rel="mask-icon" href="/images/safari-pinned-tab.svg" color="#5bbad5">
|
||||||
|
|
||||||
|
|
||||||
|
<link rel="alternate" type="application/rss+xml" href="/en/tags/markdown/index.xml" title="Pim Nelissen" />
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
</head>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<body class="preload-transitions colorscheme-auto">
|
||||||
|
|
||||||
|
<div class="float-container">
|
||||||
|
<a id="dark-mode-toggle" class="colorscheme-toggle">
|
||||||
|
<i class="fa-solid fa-adjust fa-fw" aria-hidden="true"></i>
|
||||||
|
</a>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
|
||||||
|
<main class="wrapper">
|
||||||
|
<nav class="navigation">
|
||||||
|
<section class="container">
|
||||||
|
|
||||||
|
<a class="navigation-title" href="//localhost:1313/en/">
|
||||||
|
Pim Nelissen
|
||||||
|
</a>
|
||||||
|
|
||||||
|
|
||||||
|
<input type="checkbox" id="menu-toggle" />
|
||||||
|
<label class="menu-button float-right" for="menu-toggle">
|
||||||
|
<i class="fa-solid fa-bars fa-fw" aria-hidden="true"></i>
|
||||||
|
</label>
|
||||||
|
<ul class="navigation-list">
|
||||||
|
|
||||||
|
|
||||||
|
<li class="navigation-item">
|
||||||
|
<a class="navigation-link " href="/en/cv/">CV</a>
|
||||||
|
</li>
|
||||||
|
|
||||||
|
<li class="navigation-item">
|
||||||
|
<a class="navigation-link " href="/en/skills/">Skills</a>
|
||||||
|
</li>
|
||||||
|
|
||||||
|
<li class="navigation-item">
|
||||||
|
<a class="navigation-link " href="/en/projects/">Projects</a>
|
||||||
|
</li>
|
||||||
|
|
||||||
|
<li class="navigation-item">
|
||||||
|
<a class="navigation-link " href="/en/contact/">Contact</a>
|
||||||
|
</li>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
</ul>
|
||||||
|
|
||||||
|
</section>
|
||||||
|
</nav>
|
||||||
|
|
||||||
|
|
||||||
|
<div class="content">
|
||||||
|
|
||||||
|
<section class="container list">
|
||||||
|
<header>
|
||||||
|
<h1 class="title">
|
||||||
|
<a class="title-link" href="//localhost:1313/en/tags/markdown/">Tag: Markdown</a>
|
||||||
|
</h1>
|
||||||
|
</header>
|
||||||
|
|
||||||
|
<ul>
|
||||||
|
|
||||||
|
<li>
|
||||||
|
<span class="date">July 5, 2023</span>
|
||||||
|
<a class="title" href="/en/projects/bsc-thesis/">Machine learning applied to radioactive decay data</a>
|
||||||
|
</li>
|
||||||
|
|
||||||
|
</ul>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
|
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<footer class="footer">
|
||||||
|
<section class="container">
|
||||||
|
©
|
||||||
|
|
||||||
|
2024 -
|
||||||
|
|
||||||
|
2025
|
||||||
|
Pim Nelissen
|
||||||
|
·
|
||||||
|
|
||||||
|
Powered by <a href="https://gohugo.io/" target="_blank" rel="noopener">Hugo</a> & <a href="https://github.com/luizdepra/hugo-coder/" target="_blank" rel="noopener">Coder</a>.
|
||||||
|
|
||||||
|
</section>
|
||||||
|
</footer>
|
||||||
|
|
||||||
|
</main>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<script src="/js/coder.js"></script>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
</body>
|
||||||
|
</html>
|
||||||
19
public/en/tags/markdown/index.xml
Normal file
19
public/en/tags/markdown/index.xml
Normal file
@ -0,0 +1,19 @@
|
|||||||
|
<?xml version="1.0" encoding="utf-8" standalone="yes"?>
|
||||||
|
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
|
||||||
|
<channel>
|
||||||
|
<title>Markdown on Pim Nelissen</title>
|
||||||
|
<link>//localhost:1313/en/tags/markdown/</link>
|
||||||
|
<description>Recent content in Markdown on Pim Nelissen</description>
|
||||||
|
<generator>Hugo</generator>
|
||||||
|
<language>en</language>
|
||||||
|
<lastBuildDate>Wed, 05 Jul 2023 00:00:00 +0000</lastBuildDate>
|
||||||
|
<atom:link href="//localhost:1313/en/tags/markdown/index.xml" rel="self" type="application/rss+xml" />
|
||||||
|
<item>
|
||||||
|
<title>Machine learning applied to radioactive decay data</title>
|
||||||
|
<link>//localhost:1313/en/projects/bsc-thesis/</link>
|
||||||
|
<pubDate>Wed, 05 Jul 2023 00:00:00 +0000</pubDate>
|
||||||
|
<guid>//localhost:1313/en/projects/bsc-thesis/</guid>
|
||||||
|
<description></description>
|
||||||
|
</item>
|
||||||
|
</channel>
|
||||||
|
</rss>
|
||||||
10
public/en/tags/markdown/page/1/index.html
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10
public/en/tags/markdown/page/1/index.html
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|
|||||||
|
<!DOCTYPE html>
|
||||||
|
<html lang="en">
|
||||||
|
<head>
|
||||||
|
<title>//localhost:1313/en/tags/markdown/</title>
|
||||||
|
<link rel="canonical" href="//localhost:1313/en/tags/markdown/">
|
||||||
|
<meta name="robots" content="noindex">
|
||||||
|
<meta charset="utf-8">
|
||||||
|
<meta http-equiv="refresh" content="0; url=//localhost:1313/en/tags/markdown/">
|
||||||
|
</head>
|
||||||
|
</html>
|
||||||
225
public/en/tags/text/index.html
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225
public/en/tags/text/index.html
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|
|||||||
|
<!DOCTYPE html>
|
||||||
|
<html lang="en">
|
||||||
|
|
||||||
|
<head><script src="/livereload.js?mindelay=10&v=2&port=1313&path=livereload" data-no-instant defer></script>
|
||||||
|
<title>Tag: Text · Pim Nelissen</title>
|
||||||
|
<meta charset="utf-8">
|
||||||
|
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||||
|
<meta name="color-scheme" content="light dark">
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<meta name="author" content="Pim Nelissen">
|
||||||
|
<meta name="description" content="">
|
||||||
|
<meta name="keywords" content="">
|
||||||
|
|
||||||
|
|
||||||
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|
||||||
|
<meta name="twitter:card" content="summary">
|
||||||
|
<meta name="twitter:title" content="Text">
|
||||||
|
|
||||||
|
<meta property="og:url" content="//localhost:1313/en/tags/text/">
|
||||||
|
<meta property="og:site_name" content="Pim Nelissen">
|
||||||
|
<meta property="og:title" content="Text">
|
||||||
|
<meta property="og:locale" content="en">
|
||||||
|
<meta property="og:type" content="website">
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<link rel="canonical" href="//localhost:1313/en/tags/text/">
|
||||||
|
|
||||||
|
|
||||||
|
<link rel="preload" href="/fonts/fa-brands-400.woff2" as="font" type="font/woff2" crossorigin>
|
||||||
|
<link rel="preload" href="/fonts/fa-regular-400.woff2" as="font" type="font/woff2" crossorigin>
|
||||||
|
<link rel="preload" href="/fonts/fa-solid-900.woff2" as="font" type="font/woff2" crossorigin>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<link rel="stylesheet" href="/css/coder.css" media="screen">
|
||||||
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|
||||||
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||||||
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|
||||||
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|
||||||
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|
||||||
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|
||||||
|
|
||||||
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|
||||||
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|
||||||
|
<link rel="stylesheet" href="/css/coder-dark.css" media="screen">
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<link rel="stylesheet" href="/css/timeline.css">
|
||||||
|
|
||||||
|
<link rel="icon" type="image/svg+xml" href="/images/favicon.svg" sizes="any">
|
||||||
|
<link rel="icon" type="image/png" href="/images/favicon-32x32.png" sizes="32x32">
|
||||||
|
<link rel="icon" type="image/png" href="/images/favicon-16x16.png" sizes="16x16">
|
||||||
|
|
||||||
|
<link rel="apple-touch-icon" href="/images/apple-touch-icon.png">
|
||||||
|
<link rel="apple-touch-icon" sizes="180x180" href="/images/apple-touch-icon.png">
|
||||||
|
|
||||||
|
<link rel="manifest" href="/site.webmanifest">
|
||||||
|
<link rel="mask-icon" href="/images/safari-pinned-tab.svg" color="#5bbad5">
|
||||||
|
|
||||||
|
|
||||||
|
<link rel="alternate" type="application/rss+xml" href="/en/tags/text/index.xml" title="Pim Nelissen" />
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
</head>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<body class="preload-transitions colorscheme-auto">
|
||||||
|
|
||||||
|
<div class="float-container">
|
||||||
|
<a id="dark-mode-toggle" class="colorscheme-toggle">
|
||||||
|
<i class="fa-solid fa-adjust fa-fw" aria-hidden="true"></i>
|
||||||
|
</a>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
|
||||||
|
<main class="wrapper">
|
||||||
|
<nav class="navigation">
|
||||||
|
<section class="container">
|
||||||
|
|
||||||
|
<a class="navigation-title" href="//localhost:1313/en/">
|
||||||
|
Pim Nelissen
|
||||||
|
</a>
|
||||||
|
|
||||||
|
|
||||||
|
<input type="checkbox" id="menu-toggle" />
|
||||||
|
<label class="menu-button float-right" for="menu-toggle">
|
||||||
|
<i class="fa-solid fa-bars fa-fw" aria-hidden="true"></i>
|
||||||
|
</label>
|
||||||
|
<ul class="navigation-list">
|
||||||
|
|
||||||
|
|
||||||
|
<li class="navigation-item">
|
||||||
|
<a class="navigation-link " href="/en/cv/">CV</a>
|
||||||
|
</li>
|
||||||
|
|
||||||
|
<li class="navigation-item">
|
||||||
|
<a class="navigation-link " href="/en/skills/">Skills</a>
|
||||||
|
</li>
|
||||||
|
|
||||||
|
<li class="navigation-item">
|
||||||
|
<a class="navigation-link " href="/en/projects/">Projects</a>
|
||||||
|
</li>
|
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|
|
||||||
|
<li class="navigation-item">
|
||||||
|
<a class="navigation-link " href="/en/contact/">Contact</a>
|
||||||
|
</li>
|
||||||
|
|
||||||
|
|
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|
|
||||||
|
</ul>
|
||||||
|
|
||||||
|
</section>
|
||||||
|
</nav>
|
||||||
|
|
||||||
|
|
||||||
|
<div class="content">
|
||||||
|
|
||||||
|
<section class="container list">
|
||||||
|
<header>
|
||||||
|
<h1 class="title">
|
||||||
|
<a class="title-link" href="//localhost:1313/en/tags/text/">Tag: Text</a>
|
||||||
|
</h1>
|
||||||
|
</header>
|
||||||
|
|
||||||
|
<ul>
|
||||||
|
|
||||||
|
<li>
|
||||||
|
<span class="date">July 5, 2023</span>
|
||||||
|
<a class="title" href="/en/projects/bsc-thesis/">Machine learning applied to radioactive decay data</a>
|
||||||
|
</li>
|
||||||
|
|
||||||
|
</ul>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
|
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<footer class="footer">
|
||||||
|
<section class="container">
|
||||||
|
©
|
||||||
|
|
||||||
|
2024 -
|
||||||
|
|
||||||
|
2025
|
||||||
|
Pim Nelissen
|
||||||
|
·
|
||||||
|
|
||||||
|
Powered by <a href="https://gohugo.io/" target="_blank" rel="noopener">Hugo</a> & <a href="https://github.com/luizdepra/hugo-coder/" target="_blank" rel="noopener">Coder</a>.
|
||||||
|
|
||||||
|
</section>
|
||||||
|
</footer>
|
||||||
|
|
||||||
|
</main>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
<script src="/js/coder.js"></script>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
</body>
|
||||||
|
</html>
|
||||||
19
public/en/tags/text/index.xml
Normal file
19
public/en/tags/text/index.xml
Normal file
@ -0,0 +1,19 @@
|
|||||||
|
<?xml version="1.0" encoding="utf-8" standalone="yes"?>
|
||||||
|
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
|
||||||
|
<channel>
|
||||||
|
<title>Text on Pim Nelissen</title>
|
||||||
|
<link>//localhost:1313/en/tags/text/</link>
|
||||||
|
<description>Recent content in Text on Pim Nelissen</description>
|
||||||
|
<generator>Hugo</generator>
|
||||||
|
<language>en</language>
|
||||||
|
<lastBuildDate>Wed, 05 Jul 2023 00:00:00 +0000</lastBuildDate>
|
||||||
|
<atom:link href="//localhost:1313/en/tags/text/index.xml" rel="self" type="application/rss+xml" />
|
||||||
|
<item>
|
||||||
|
<title>Machine learning applied to radioactive decay data</title>
|
||||||
|
<link>//localhost:1313/en/projects/bsc-thesis/</link>
|
||||||
|
<pubDate>Wed, 05 Jul 2023 00:00:00 +0000</pubDate>
|
||||||
|
<guid>//localhost:1313/en/projects/bsc-thesis/</guid>
|
||||||
|
<description></description>
|
||||||
|
</item>
|
||||||
|
</channel>
|
||||||
|
</rss>
|
||||||
10
public/en/tags/text/page/1/index.html
Normal file
10
public/en/tags/text/page/1/index.html
Normal file
@ -0,0 +1,10 @@
|
|||||||
|
<!DOCTYPE html>
|
||||||
|
<html lang="en">
|
||||||
|
<head>
|
||||||
|
<title>//localhost:1313/en/tags/text/</title>
|
||||||
|
<link rel="canonical" href="//localhost:1313/en/tags/text/">
|
||||||
|
<meta name="robots" content="noindex">
|
||||||
|
<meta charset="utf-8">
|
||||||
|
<meta http-equiv="refresh" content="0; url=//localhost:1313/en/tags/text/">
|
||||||
|
</head>
|
||||||
|
</html>
|
||||||
BIN
public/images/st_factors.png
Normal file
BIN
public/images/st_factors.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 446 KiB |
@ -4,6 +4,8 @@
|
|||||||
<sitemap>
|
<sitemap>
|
||||||
<loc>//localhost:1313/en/sitemap.xml</loc>
|
<loc>//localhost:1313/en/sitemap.xml</loc>
|
||||||
|
|
||||||
|
<lastmod>2023-07-05T00:00:00+00:00</lastmod>
|
||||||
|
|
||||||
</sitemap>
|
</sitemap>
|
||||||
|
|
||||||
</sitemapindex>
|
</sitemapindex>
|
||||||
|
|||||||
BIN
static/images/st_factors.png
Normal file
BIN
static/images/st_factors.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 446 KiB |
Reference in New Issue
Block a user