@@ -93,7 +93,7 @@ <h2> <b> Exp </b> = BFE+mSSA: finding the story being told by BFE’s </h2>
9393 < a href ="images/fulls/plain.png " class ="image "> < img src ="images/thumbs/4.png " alt ="" /> </ a >
9494 < h2 > < b > EXP </ b > : applications to cosmology</ h2 >
9595 < p > < b > EXP </ b > can be used to analyze structure in cosmological simulations. Members of the < b > EXP </ b > Collaboration are applying
96- these tools to snapshots from simulations of galaxy formation to:
96+ these tools to snapshots from simulations of galaxy formation to: </ p >
9797 < ul >
9898 < li > Compare and contrast the signatures of filamentary accretion from halo deformation in the FIRE simulation suite
9999 (< a “https: //ui.adsabs.harvard.edu/abs/2025ApJ...988..190A/abstract” Arora et al, 2025 </ a> ); </ li >
@@ -108,26 +108,45 @@ <h2> <b> EXP </b>: applications to cosmology</h2>
108108 </ article >
109109 < article class ="thumb ">
110110 < a href ="images/fulls/center-2.png " class ="image "> < img src ="images/thumbs/center-2.png " alt ="" /> </ a >
111- < h2 > </ h2 >
112- < p > </ p >
111+ < h2 > < b > Exp </ b > : the code and the collaboration </ h2 >
112+ < p > < b > Exp </ b > is designed to connect: (1) theoretical descriptions of dynamics, (2) N-body simulations, and (3) data-efficient descriptions of
113+ their natural consequences. < b > Exp </ b > provides recent developments from applied mathematics and numerical computation to represent time
114+ series of BFEs that describe the temporal variation of any field in space. In the context of galactic dynamics, these fields may be density,
115+ potential, force, velocity fields or any intrinsic field produced by simulations such as chemistry data. By combining the coefficient
116+ information through time using spectral analysis, we hope to discover the dynamics of galaxy evolution directly from simulations and by
117+ predictive comparison with observed data. </ p >
118+ < p > The < b > Exp Collaboration</ b > is exploring the applications of these tools to galactic dynamics, from the Milky Way disk to cosmological
119+ simulations of galaxy formation. Our team combines expertise in (i) analytic models, (ii) numerical simulations and (iii) data analysis.
120+ We aim to build a language that unites all three. We use < b > Basis Function Expansions (BFE) </ b > to compactly summarize spatial or
121+ velocity features in simulations and < b > multivariate Singular Spectrum Analysis (mSSA)</ b > to discover the non-linear dynamics of their
122+ interaction. This allows us to detect deep dynamical relationships in our simulations. The approach promises multiple connections: from
123+ observations to simulations to theoretical descriptions; between galactic components; and across phase-space dimensions. </ p >
113124 </ article >
114125 < article class ="thumb ">
115126 < a href ="images/fulls/plain.png " class ="image "> < img src ="images/thumbs/5.png " alt ="" /> </ a >
116- < h2 > Basis Function Expansions for N-body Dynamical Simulations</ h2 >
117- < p > Basis function expansions (BFEs) can be used to both run and analyze dynamical N-body simulations. The EXP
118- collaboration - spearheaded by Martin Weinberg - has developed eponymous code to perform both of these
119- functions. < b > Exp </ b > uses BFEs to represent the potential and mass distributions of the star and dark
120- matter particles of a galaxy to run simulations significantly faster than alternate techniques. The
121- theory underpinning BFE simulations and the implementation are discussed in
122- more detail in the < a href ="https://exp-docs.readthedocs.io/en/latest/topics/multistep.html "readthedocs > </ a > ,
123- as well as these papers (< a href ="https://ui.adsabs.harvard.edu/abs/1999AJ....117..629W/abstract "1 > </ a > ,
124- < a href ="https://ui.adsabs.harvard.edu/abs/2022MNRAS.510.6201P/abstract "2 > </ a > ).</ p >
125- < p > The resulting simulations have both particle-based snapshot data and basis function information, including
126- the basis and time-evolving coefficients. These data can be used together to provide unique insight into
127- the underlying dynamics. < b > Exp </ b > can also be run on simulations that were produced with different software,
128- including cosmological simulations, to provide BFEs at each time step. See below for
129- examples that use either or both of these functionalities of < b > Exp </ b > .</ p >
130- < p > Your paper links and blurbs here!</ p >
127+ < h2 > < b > EXP</ b > : applications to dynamical systems </ h2 >
128+ < p > Density/potential pairs of BFEs that are solutions to Poisson’s equation provide a natural
129+ language for dynamics. They are used both in simulations and analytic calculations, and
130+ hence can be used to link the two. </ p >
131+
132+ < p > In addition to its analysis framework, < b > EXP </ b > includes an N-body gravitational code. The resulting
133+ simulations output both particle-based snapshot data and BFE information, including the basis and
134+ time-evolving coefficients. The theory underpinning < b > EXP </ b > simulations and the implementation are
135+ discussed in more detail in the
136+ < a href ="https://exp-docs.readthedocs.io/en/latest/topics/multistep.html "readthedocs > </ a > , as well
137+ as these papers (< a href ="https://ui.adsabs.harvard.edu/abs/1999AJ....117..629W/abstract " Weinberg, 1999 </ a > ,
138+ < a href ="https://ui.adsabs.harvard.edu/abs/2022MNRAS.510.6201P/abstract " Peterxen, Weinberg & Katz, 2022 > </ a > ).</ p >
139+
140+ < p > The collaboration has applied < b > EXP </ b > to various simulations to: </ p >
141+ < ul >
142+ < li > Follow the evolution of galactic bars (< a ”https: //ui.adsabs.harvard.edu/abs/2021MNRAS.501.5408W/abstract” Weinberg & Petersen 2020</ a> ),
143+ as well as its interaction with a dark matter halo (< a “https: //ui.adsabs.harvard.edu/abs/2025arXiv251009751H/abstract” Hunt et al, 2025> </ a > )</ li >
144+ < li > Distinguish intrinsic halo instabilities from evolution driven by disk/halo coupling in the simulation of an isolated galaxy
145+ (https://ui.adsabs.harvard.edu/abs/2023MNRAS.521.1757J/abstract Johnson, Petersen et al 2023);</ li >
146+ < li > Isolate the signatures of multiple interacting satellites in a simulated galactic disk (Petersen et al 2025, in prep);</ li >
147+ < li > Connect features found in phase-space local patches of a simulated disk into global structures (Tavangar et al 2025, in prep);</ li >
148+ < li > Characterize the morphological transformation of the SMC and LMC as they orbit our Milky Way (Rathore et al 2025, in prep)</ li >
149+ </ ul >
131150 </ article >
132151 < article class ="thumb ">
133152 < a href ="images/fulls/plain.png " class ="image "> < img src ="images/thumbs/8.png " alt ="" /> </ a >
@@ -148,18 +167,29 @@ <h2> <b> EXP</b>: applications to observations</h2>
148167 </ article >
149168 < article class ="thumb ">
150169 < a href ="images/fulls/plain.png " class ="image "> < img src ="images/thumbs/9.png " alt ="" /> </ a >
151- < h2 > Basis Function Expansions for Sonification</ h2 >
152- < p > The light profile of a galaxy image can be described with a Fourier-Laguerre basis function expansion.
153- The resulting expansion has both angular (Fourier, m) terms and radial (Laguerre, n) terms and a series
154- of coefficient weights. While we typically plot these terms and weights for a visual representation, we
155- can also present these same data with sounds. In plotting these data, we might decide that the n-terms
156- are along the x-axis and the m-terms are along the y-axis, with the coefficient values making a heatmap.
157- Similarly, we could choose to map the n-terms to notes on a given scale, the m-terms to octaves, and the
158- coefficient amplitudes to volume. This mapping of data to sound is called sonification.</ p >
159- < p > We are pioneering the use of basis function expansions for sonfication. As part of this work, we have
160- created a GalaxyZoo project to determine the efficacy of classifying galaxy morphology through sounds,
161- or aural classification. Check out the project here (LINK COMING SOON) to test your own aural
162- classification skills! </ p >
170+ < h2 > Looking Forward</ h2 >
171+ < ul >
172+ < li > Time series analyses more generally </ li >
173+ < ul >
174+ < li > DMD</ li >
175+ < li > Advanced mSSA techniques</ li >
176+ </ ul >
177+
178+ < li > Other fields in galaxies</ li >
179+ < ul >
180+ < li > Velocity</ li >
181+ < li > Chemistry</ li >
182+ < li > Ages</ li >
183+ </ ul >
184+ < li > Other applications beyond galaxies</ li >
185+ < ul >
186+ < li > Accretion disks</ li >
187+ < li > Planetary disks</ li >
188+ < li > Astrophysical Plasmas</ li >
189+ < li > Proto-stellar disks</ li >
190+ </ ul >
191+ </ ul >
192+
163193 </ article >
164194 < article class ="thumb ">
165195 < a href ="images/fulls/plain.png " class ="image "> < img src ="images/thumbs/7.png " alt ="" /> </ a >
@@ -173,9 +203,8 @@ <h2>How to get started</h2>
173203 < p > If you want to want to learn more about mSSA, check out this < a href ="https://michael-petersen.github.io/papers/mssa/MSSA-Tutorial-Slideshow.slides.html#/ "> webpage</ a > and these papers:
174204 < a href ="https://ui.adsabs.harvard.edu/abs/2021MNRAS.501.5408W/abstract "> 1</ a > and
175205 < a href ="https://ui.adsabs.harvard.edu/abs/2023MNRAS.521.1757J/abstract "> 2</ a > (see also the
176- < a href = "https://exp-docs.readthedocs.io/en/latest/topics/ssa.html "> EXP readthedocs</ a > for more information) </ p >
206+ < a href = "https://exp-docs.readthedocs.io/en/latest/topics/ssa.html "> < b > EXP </ b > readthedocs</ a > for more information) </ p >
177207 </ dl >
178- < p > Add more links, pedagogical stuff, etc .... </ p >
179208
180209 </ article >
181210 </ div >
@@ -186,7 +215,7 @@ <h2>How to get started</h2>
186215 < div >
187216 < section >
188217 < h2 > Get to know us</ h2 >
189- < p > The EXP collaboration is developing the next generation of tools for galactic dynamics to tackle disequilibrium dynamics.
218+ < p > The < b > EXP </ b > collaboration is developing the next generation of tools for galactic dynamics to tackle disequilibrium dynamics.
190219 Our team combines expertise in (i) analytic models, (ii) numerical simulations and (iii) data analysis.
191220 We use basis function expansions as a common language that unites all three of these realms of expertise.
192221 Looking forward, our proposed tools have the potential
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