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assets/css/main.css

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cursor: default;
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left: 0;
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position: absolute;
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text-align: center;
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text-align: left;
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width: 100%;
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height: 100%;
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z-index: 2;
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overflow-y: auto;
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box-sizing: border-box;
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background: none;
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color: #000000;
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}
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.poptrox-popup .caption h2, .poptrox-popup .caption h3, .poptrox-popup .caption h4, .poptrox-popup .caption h5, .poptrox-popup .caption h6 {
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.poptrox-popup .caption ul,
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.poptrox-popup .caption ol {
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.poptrox-popup .caption ul li,
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.poptrox-popup .loader {
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-moz-animation: spinner 1s infinite linear !important;
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-webkit-animation: spinner 1s infinite linear !important;

assets/sass/components/_poptrox-popup.scss

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color: #000000;
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h2, h3, h4, h5, h6 {
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margin: 0 0 (_size(element-margin) * 0.25) 0;
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p {
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color: _palette(fg-bold);
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color: #000000;
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ul, ol {
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ul li, ol li {
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index.html

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@@ -55,7 +55,7 @@ <h2> What is a basis function expansion? </h2>
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have been used to derive potential fields at each timestep from particle data at computational effort
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proportional to the number of particles – drastically less computationally intense than other
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techniques to determine potentials
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<a href="https://ui.adsabs.harvard.edu/abs/1992ApJ...386..375H/abstract">Hernquist (1992)</a>. </p>
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<a href="https://ui.adsabs.harvard.edu/abs/1992ApJ...386..375H/abstract">(Hernquist, 1992)</a>. </p>
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<p> More generally: in theoretical analyses, BFE have been partnered with mathematical tools of
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perturbation theory and linear algebra to solve equations, to describe interactions and identify
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physical mechanisms such as in the interaction of the Milky Way and Large Magellanic Cloud
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these tools to snapshots from simulations of galaxy formation to: </p>
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<ul>
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<li> Compare and contrast the signatures of filamentary accretion from halo deformation in the FIRE simulation suite
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(<a https://ui.adsabs.harvard.edu/abs/2025ApJ...988..190A/abstractArora et al, 2025 </a>); </li>
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(<a href="https://ui.adsabs.harvard.edu/abs/2025ApJ...988..190A/abstract">Arora et al, 2025</a>); </li>
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<li> Describe the deformation of dark matter halos as they respond to infalling satellites in the MWest simulation suite
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(Darragh-Ford et al 2025, in prep)</li>
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<li> Characterise the effect of deforming dark matter halos on the structural properties of disks in the Auriga simulation
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suite (Lavin et al 2025, in prep); </li>
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<li> Investigate the interplay between dynamical structure formation, dark matter physics, and feedback mechanisms in the
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<a https://dreams-project.readthedocs.io/en/latest/index.htmlDREAMS<a/> suite of cosmological simulations
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<a href="https://dreams-project.readthedocs.io/en/latest/index.html" target="_blank">DREAMS</a> suite of cosmological simulations
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(Filion et al 2025, in prep) </li>
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</ul>
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</article>
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<article class="thumb">
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<a href="images/fulls/5.png" class="image"><img src="images/thumbs/center-2.png" alt="" /></a>
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<a href="images/fulls/5.png" class="image"><img src="images/thumbs/4.png" alt="" /></a>
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<h2> <b> Exp </b>: the code and the collaboration </h2>
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<p><b> Exp </b> is designed to connect: (1) theoretical descriptions of dynamics, (2) N-body simulations, and (3) data-efficient descriptions of
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their natural consequences. <b> Exp </b> provides recent developments from applied mathematics and numerical computation to represent time
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<p> The collaboration has applied <b> EXP </b> to various simulations to: </p>
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<ul>
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<li> Follow the evolution of galactic bars (<a”https://ui.adsabs.harvard.edu/abs/2021MNRAS.501.5408W/abstract” Weinberg & Petersen 2020</a>),
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as well as its interaction with a dark matter halo (<a https://ui.adsabs.harvard.edu/abs/2025arXiv251009751H/abstractHunt et al, 2025></a>)</li>
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as well as its interaction with a dark matter halo (<a href="https://ui.adsabs.harvard.edu/abs/2025arXiv251009751H/abstract">Hunt et al, 2025</a>)</li>
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<li> Distinguish intrinsic halo instabilities from evolution driven by disk/halo coupling in the simulation of an isolated galaxy
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(https://ui.adsabs.harvard.edu/abs/2023MNRAS.521.1757J/abstract Johnson, Petersen et al 2023);</li>
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<a href="https://ui.adsabs.harvard.edu/abs/2023MNRAS.521.1757J/abstract">Johnson, Petersen et al, 2023</a>;</li>
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<li> Isolate the signatures of multiple interacting satellites in a simulated galactic disk (Petersen et al 2025, in prep);</li>
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<li> Connect features found in phase-space local patches of a simulated disk into global structures (Tavangar et al 2025, in prep);</li>
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<li> Characterize the morphological transformation of the SMC and LMC as they orbit our Milky Way (Rathore et al 2025, in prep)</li>
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(e.g. <a href=”https://ui.adsabs.harvard.edu/abs/2025MNRAS.539..661G/abstract”>Ganapathy et al 2025</a>),
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measure galaxy inclination (e.g. Martinez et al, in prep), and identify morphological features like bars.
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These expansions are also how we map an image of a
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(<a href=”https://carriefilion.github.io/#Sonification”>into a sound </a>) via sonification. Similarly,
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<a href=”https://carriefilion.github.io/#Sonification”>into a sound </a> via sonification. Similarly,
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we can perform expansions of integral field spectrograph data, which allow for analyses of both velocity
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and chemical information. </p>
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</article>

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