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<!DOCTYPE html>
<html lang="en"> <!--- Header --->
<head>
<title>
Greg Furlich Projects
</title>
<meta itemprop="description" name="description" content="An exhibition of projects and research I have worked on." />
<meta name="author" content="Greg Furlich">
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
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<p>
<h> Greg Furlich</h>
</p>
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<div class="topnav-right">
<a href="/Research.html"><p>Research</p></a>
<a href="/Education.html"><p>Education</p></a>
<a href="/Projects.html"><p>Projects</p></a>
<a href="/Hobbies.html"><p>Hobbies</p></a>
<a href="/Photography.html"><p>Photography</p></a>
<a href="https://www.colorado.edu/center/nsi/greg-furlich"><p><img id="CU" src="/assets/logos/cub.png" height=30vw></p></a>
<a href="https://github.com/gfurlich/"><p><img id="github" src="/assets/logos/github.png" height=30vw></p></a>
<a href="https://www.linkedin.com/in/greg-furlich/"><p><img id="linkedin" src="/assets/logos/in.png" height=30vw></p></a>
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<article class="post">
<!-- <header class="post-header">
<h1 class="post-title">Greg Furlich Projects</h1>
</header> -->
<div class="post-content">
<script src="https://kit.fontawesome.com/5289f3dc42.js" crossorigin="anonymous"></script>
<div style="height: 10vh"></div>
<h1 id="projects">Projects</h1>
<div style="height: 2vh"></div>
<ul style="list-style: none">
<li>
<h4><a style="font-size:1.5em" href="/posts/digital-research-journal.html">Digital Research Journal</a></h4>
</li>
<div style="height: .25vh"></div>
<li style="padding: 0 2em;color: grey">
<i class="fa fa-calendar" aria-hidden="true"></i> August 18, 2020<br />
<i class="fas fa-tags"></i>
Research Journal,
HTML,
Jekyll,
</li>
<li style="padding: 0 2em">
I created a digital research journal in the form of HTML website using Jekyll to better track my progress and results of my research in Cosmic Rays. Using a HTML document, I was able to link and store images from my research, link to outside resources, save important code syntax, and outputs of coding scripts. I created a git repository to track the progress of the journal and creates a record similar to the role of a traditional research journal. I included categories to my daily posts to track my focus and progress on projects within my research. The benefits of this digital research journal greatly outweighs the traditional research journal for a computational physicist.
</li>
<div style="height: 3vh"></div>
<li>
<h4><a style="font-size:1.5em" href="/posts/telescope-array-observation-of-the-gzk-suppression-thesis.html">Observation of the GZK suppression with the Telescope Array fluorescence telescopes and deployment of the Telescope Array expansion</a></h4>
</li>
<div style="height: .25vh"></div>
<li style="padding: 0 2em;color: grey">
<i class="fa fa-calendar" aria-hidden="true"></i> April 23, 2020<br />
<i class="fas fa-tags"></i>
Telescope Array,
Research,
Thesis Defense,
Ultra-High Energy Cosmic Rays,
TAx4,
GZK Suppression,
Cosmic Ray Energy Spectrum,
</li>
<li style="padding: 0 2em">
<img src="/assets/research/thesis/comb_spectrum_vs_mono_spectra_JE3.svg" alt="Observation of the GZK suppression with the Telescope Array fluorescence telescopes and deployment of the Telescope Array expansion" style="max-width: 100%; height: auto; border-radius: 6px; margin: 0.5em 0;" />
</li>
<li style="padding: 0 2em">
My thesis and thesis defense slides for my PhD in Physics at the University of Utah where I conducted research with the Telescope Array Cosmic Ray Observatory on the Ultra-High Energy Cosmic Ray energy spectrum. My thesis focused on: refurbishing, testing, deploying, and collecting first light of the new Telescope Array expansion (TAx4) Fluorescence Detectors (FDs); calculating a preliminary cosmic ray energy spectrum with the TAx4 Middle Drum site first year of data; developing a novel machine learning weather classification method for the Telescope Array Fluorescence telescopes; and calculating a ten year cosmic ray energy spectrum using the monocular reconstructed events from the Black Rock and Long Ridge FD sites.
</li>
<div style="height: 3vh"></div>
<li>
<h4><a style="font-size:1.5em" href="/posts/pyroot-vs-scipy.html">PyRoot vs. SciPy Fitting in Python</a></h4>
</li>
<div style="height: .25vh"></div>
<li style="padding: 0 2em;color: grey">
<i class="fa fa-calendar" aria-hidden="true"></i> February 08, 2020<br />
<i class="fas fa-tags"></i>
PyRoot,
SciPy,
Fitting,
Python,
CERN ROOT,
</li>
<li style="padding: 0 2em">
<img src="/assets/coding/python_fit.png" alt="PyRoot vs. SciPy Fitting in Python" style="max-width: 100%; height: auto; border-radius: 6px; margin: 0.5em 0;" />
</li>
<li style="padding: 0 2em">
Python example comparing python modules SciPy and PyRoot in fitting a gaussian sampled distribution. SciPy is a popular python module for scientific computing. PyRoot is a python interface to the CERN ROOT C++ program which is a robust data analysis framework used by many in fundamental physics research. However there is not much documentation on how to use PyRoot. This is an example of using PyRoot to fit a distribution in Python and comparing it to SciPy.
</li>
<div style="height: 3vh"></div>
<li>
<h4><a style="font-size:1.5em" href="/posts/telescope-array-satellite-map.html">Telescope Array Composite Satellite Map using Landsat Data</a></h4>
</li>
<div style="height: .25vh"></div>
<li style="padding: 0 2em;color: grey">
<i class="fa fa-calendar" aria-hidden="true"></i> February 08, 2020<br />
<i class="fas fa-tags"></i>
GIS,
GDAL,
rasterio,
LandSat 8,
AWS,
NumPy,
Telescope Array,
Remote Sensing,
Python,
</li>
<li style="padding: 0 2em">
<img src="/assets/research/TAmap/ta_map.png" alt="Telescope Array Composite Satellite Map using Landsat Data" style="max-width: 100%; height: auto; border-radius: 6px; margin: 0.5em 0;" />
</li>
<li style="padding: 0 2em">
Created a composite satellite map of the Telescope Array Cosmic Ray Observatory using data from the LandSat 8. The Telescope Array Cosmic Ray Observatory is located in the Sevier Desert of Millard County, Utah. The Landsat 8 data was pulled from Amazon Web Services (AWS). The red, green, and blue bands were combined into a composite image using NumPy. Site information and points of interest were overlayed on the composite satellite image. The Haversine formula was used to calculate the great-circle distance between sites given their GPS location to place the sites relative on the satellite image.
</li>
<div style="height: 3vh"></div>
<li>
<h4><a style="font-size:1.5em" href="/posts/telescope-array-topography-maps.html">Telescope Array Topographic Maps using Shuttle Radar Topography Mission Data</a></h4>
</li>
<div style="height: .25vh"></div>
<li style="padding: 0 2em;color: grey">
<i class="fa fa-calendar" aria-hidden="true"></i> February 08, 2020<br />
<i class="fas fa-tags"></i>
GIS,
GDAL,
SRTM,
rasterio,
NumPy,
Python,
Telescope Array,
Remote Sensing,
</li>
<li style="padding: 0 2em">
<img src="/assets/research/TAmap/ta_relief.png" alt="Telescope Array Topographic Maps using Shuttle Radar Topography Mission Data" style="max-width: 100%; height: auto; border-radius: 6px; margin: 0.5em 0;" />
</li>
<li style="padding: 0 2em">
A topographic map and shaded relief map of the Telescope Array (TA) Cosmic Ray Observatory located in the Sevier Desert of Millard County Utah were created using Shuttle Radar Topography Mission (SRTM) data in Python. The SRTM data was loaded into python using python GDAL and the raster window was cropped to TA's location using rasterio. A topographic altitude map and a shaded relief map were created and an informational overlay was added to both.
</li>
<div style="height: 3vh"></div>
<li>
<h4><a style="font-size:1.5em" href="/posts/telescope-array-machine-learing-weather-classification.html">Telescope Array Weather Classification and Other Interesting Pedestal Animations</a></h4>
</li>
<div style="height: .25vh"></div>
<li style="padding: 0 2em;color: grey">
<i class="fa fa-calendar" aria-hidden="true"></i> November 10, 2019<br />
<i class="fas fa-tags"></i>
Telescope Array,
Research,
Machine Learning,
Transient Luminous Events,
</li>
<li style="padding: 0 2em">
<img src="/assets/research/weather/meteor_shower.gif" alt="Telescope Array Weather Classification and Other Interesting Pedestal Animations" style="max-width: 100%; height: auto; border-radius: 6px; margin: 0.5em 0;" />
</li>
<li style="padding: 0 2em">
Research project to classify the weather in the Fluorescence Detector's field of view using machine learning. A series of snapshots of the night's progression using the baseline values of each photomultiplier tube and using it's nominal position on the night sky to reconstruct the detector's full field of view. These snapshots were feed into a Recurrent Convolution Neural Network (RCNN) for classification. Other interesting transient luminous events were seen in these snapshots.
</li>
<div style="height: 3vh"></div>
</ul>
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