Conveners
Methods and Tools
- There are no conveners in this block
Methods and Tools
- Tobias Kortus (RPTU University Kaiserslautern-Landau)
Methods and Tools
- There are no conveners in this block
Methods and Tools
- There are no conveners in this block
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Muhammad Awais (University of Padua, Italy & LTU, Sweden)02/09/2026, 11:30Methods and toolsTalk + poster
The design of modern scientific experiments for fundamental physics
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entails the choice of geometry, materials, detection techniques, and software reconstruction procedures governed by thousands of parameters. The full optimization of such systems can in most cases be achieved only if all these parameters are considered together in an end-to-end optimization procedure; in particular, hardware... -
Prof. Pietro Vischia (Departamento de Física and ICTEA, Universidad de Oviedo)02/09/2026, 12:00Methods and toolsTalk
Progress in physics has long been driven by ingenious experiments conceived by human experts.
Recently, AI-driven design methods have begun to move beyond tuning a handful of parameters to proposing entirely new experimental layouts. The discovered configurations often challenge established design conventions while matching or even exceeding the performance of human-designed setups.This...
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Vassil Vasilev (Princeton University (US))02/09/2026, 12:30Methods and toolsTalk
At the previous MODE workshop we presented the beginning of a collaborative effort to enable automatic differentiation (AD) in CMS Combine through RooFit's Clad-based AD framework. In this talk we report on the progress made since: the integration has moved from a proof of feasibility toward a usable capability for realistic CMS statistical models.
We will discuss the RooFit-side...
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Barry Dillon (Ulster University)03/09/2026, 11:00Methods and toolsTalk
Spiking Neural Networks (SNNs) replace continuous activations with stateful neurons that integrate inputs over time and emit binary spikes when a threshold is crossed. This makes time part of the computation. I will present new SNN support in hls4ml, which translates models trained with PyTorch and snnTorch into clock-driven FPGA firmware. The implementation adds integrate-and-fire and leaky...
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Vassil Vasilev (Princeton University (US))03/09/2026, 11:30Methods and toolsTalk
End-to-end differentiability is changing how we think about analysis and
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experiment design: instead of scanning parameters by brute force and tuning calibrations by hand, we can let gradients of the likelihood flow back through reconstruction, digitization, and detector response, and optimize calibrations, selections, and eventually design for the physics objective directly. However, at the... -
Miaoyuan Liu (Purdue University (US))05/09/2026, 11:00Methods and toolsTalk
Custom ASIC accelerators offer significant power and performance advantages for machine learning in scientific and edge computing; a driving example is superconducting qubit readout, where moving real-time classification of qubit states from room-temperature FPGAs into the cryostat requires custom ASICs on cryo-compatible technology nodes.
However, obtaining accurate area and timing...
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Jeffrey Krupa (SLAC)05/09/2026, 11:30Talk
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Richard Hildebrandt06/09/2026, 09:00Applications in Particle PhysicsTalk
We introduce a new strategy for compositional neural surrogates for radiation-matter interactions, a key task spanning domains from particle physics through nuclear and space engineering to medical physics. Exploiting the locality and the Markov nature of particle interactions, we create a \emph{next-particle prediction} kernel using hybrid discrete-continuous transformer models based on...
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Stephen Casey (University of Miami)06/09/2026, 09:30Methods and toolsTalk + poster
Presented here is a method for model discovery and intelligent sampling of physical systems that uses recursive generation of cellular modules combined with Ant Colony Optimization (ACO). The program begins with a random sample of data and a single computational module, somewhat analogous to a single cell. This module contains several subcomponents, called organelles, that perform simple...
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Robin Brase06/09/2026, 10:00Applications in Medical Physics, and Other ApplicationsTalk
Autonomous vehicles increasingly operate in large-scale environments that combine wide-open regions with confined, cluttered areas. This is exemplified by maritime missions for monitoring and inspecting critical infrastructure. Such applications require global path planning methods that can handle environments with strongly varying spatial scales. Narrow passages require fine-grained...
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Francesca NicolantiMethods and toolsTalk + poster
In classical mechanics, the physical trajectory of a system is the one that makes the action stationary. Strang, Caruso and Greydanus (arXiv:2303.02115) proposed to find such paths numerically by discretising the action and minimising it directly with gradient descent, bypassing the analytical derivation of the Euler-Lagrange equations. While demonstrating the viability of this idea on several...
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