1.0KMI - Nagoya Universityhttps://www.kmi.nagoya-u.ac.jp/engConnecting Simulations and Observations with Differentiable Simulations and Field Level Inference - KMI - Nagoya Universityrich600338<blockquote class="wp-embedded-content" data-secret="ZQZ2ogtxrq"><a href="https://www.kmi.nagoya-u.ac.jp/eng/seminar/3501/">Connecting Simulations and Observations with Differentiable Simulations and Field Level Inference</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.kmi.nagoya-u.ac.jp/eng/seminar/3501/embed/#?secret=ZQZ2ogtxrq" width="600" height="338" title="“Connecting Simulations and Observations with Differentiable Simulations and Field Level Inference” — KMI - Nagoya University" data-secret="ZQZ2ogtxrq" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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The rapid growth of both astrophysical data and simulation capabilities is creating a new opportunity. Instead of being tied to summary statistics (like correlation functions and power spectra), we can begin to connect simulations and observations directly at the field level. In this talk, I will present a framework for field-level, multi-probe inference built around differentiable simulations, where gradients can be propagated through the forward model itself. I will focus on diffhydro, a differentiable hydrodynamics framework written in JAX that …