Mathematical Modeling seminars
October 2026
KIPAC Seminar: Large-scale structure between peaks - modeling the intergalactic medium for the next generation of cosmological datasets
Jamie Sullivan· MIT
Mon, Oct 12 · 18:00 UTC · Online
Galaxy images and spectra map large-scale cosmic structure and constrain fundamental physics. While galaxy-clustering bias models are well developed, forthcoming datasets can also trace the intergalactic medium and recover complementary cosmic-web information. Jamie Sullivan discusses models for both neutral and ionized intergalactic material. Neutral-hydrogen work includes the environments of Lyman-alpha emitters at redshifts 2.5–5, relevant to future DESI extensions and Spec-S5, together with the measured Lyman-alpha forest and an observationally practical compression of its bispectrum. Ionized-gas research studies momentum through an effective-field-theory kinetic Sunyaev–Zel’dovich bispectrum, and density through fast-radio-burst clustering and cross-correlations. Together, these approaches aim to map intergalactic modes alongside galaxy tracers and improve precision cosmological constraints.
AstrophysicsCosmologySeries: Kavli Institute for Particle Astrophysics and Cosmology, Stanford University
September 2026
Gravitational waveform modeling with physics informed neural networks and surrogates
Nils Deppe· Cornell University
Thu, Sep 17 · 15:00 UTC · Princeton, United States
This seminar discusses a proof-of-concept gravitational-waveform model described in arXiv:2511.10522. It augments post-Newtonian equations using physics-informed neural-network methods and universal differential equations. The talk also covers ongoing development of a precessing surrogate model designed to evaluate in less than one millisecond while covering a broader portion of the LVK frequency band.
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