Conveners
Track 3: Computations in Theoretical Physics: Techniques and Methods
- Francisco Antonio Villaescusa-Navarro (OATS-INAF)
Track 3: Computations in Theoretical Physics: Techniques and Methods
- Ramon Winterhalder (UCLouvain)
Track 3: Computations in Theoretical Physics: Techniques and Methods
- Chiara Signorile
Theory predictions for the LHC require precise numerical phase-space integration and generation of unweighted events. We combine machine-learned multi-channel weights with a normalizing flow for importance sampling to improve classical methods for numerical integration. By integrating buffered training for potentially expensive integrands, VEGAS initialization, symmetry-aware channels, and...
Unfolding is a transformative method that is key to analyze LHC data. More recently, modern machine learning tools enable its implementation in an unbinned and high-dimensional manner. The basic techniques to perform unfolding include event reweighting, direct mapping between distributions and conditional phase space sampling, each of them providing a way to unfold LHC data accounting for all...
The matrix element method is the LHC inference method of choice for limited statistics. We present a dedicated machine learning framework, based on efficient phase-space integration, a learned acceptance and transfer function. It is based on a choice of INN and diffusion networks, and a transformer to solve jet combinatorics. Bayesian networks allow us to capture network uncertainties,...
One of the biggest obstacles for machine learning algorithms that predict amplitudes from phase space points is the scaling with the number of interacting particles. The more particles there are in a given process, the more challenging it is for the model to provide accurate predictions for the matrix elements. We present a deep learning framework that is built to reduce the impact of this...
In atmospheric physics, particle-resolved direct numerical simulation (PR-DNS) models constitute an important tool to study aerosol-cloud-turbulence interactions which are central to the prediction of weather and climate . They resolve the smallest turbulent eddies as well as track the development and motion of individual particles [1,2]. PR-DNS is expected to complement experimental and...
We demonstrate some advantages of a top-bottom approach in the development of hardware-accelerated code by presenting the PDFFlow-VegasFlow-MadFlow software suite. We start with an autogenerated hardware-agnostic Monte Carlo generator, which is parallelized in the event axis. This allow us to take advantage of the parallelizable nature of Monte Carlo integrals even if we do not have control of...
In this talk, I describe how the nested soft-collinear subtraction scheme can be used to compute NNLO QCD corrections to the production of an arbitrary number of gluonic jets in hadron collisions. In particular, I show how to identify NLO-like recurring structures of infrared subtraction terms that in principle can be applied to any partonic process. As an example, I demonstrate the...
The success of the LHC physics programme relies heavily on high-precision calculations. However, the increased computational complexity for high-multiplicity final states has been a growing cause for concern, with the potential to evolve into a debilitating bottleneck in the foreseeable future. We present a flexible and efficient approach for the simulation of collider events with multi-jet...
Parton-level event generators are one of the most computationally demanding parts of the simulation chain for the Large Hadron Collider. The rapid deployment of computing hardware different from the traditional CPU+RAM model in data centers around the world mandates a change in event generator design. These changes are required in order to provide economically and ecologically sustainable...
Computer algebra plays an important role in particle physics calculations. In particular, the calculation and manipulation of large multi-variable polynomials and rational functions are key bottlenecks when calculating multi-loop scattering amplitudes. Recent years have seen the widespread adoption of interpolation techniques to target these bottlenecks. This talk will present new techniques...
I discuss software and algorithm development work in the lattice gauge theory community to develop performance portable software across a range of GPU architectures (Nvidia, AMD and Intel) and corresponding multi scale aware algorithm research to accelerate computation.
An example is given of a large effort to calculate the hadronic vacuum polarisation contribution to the anomalous magnetic...
McMule, a Monte Carlo for MUons and other LEptons, implements many major QED processes at NNLO (eg. $ee\to ee$, $e\mu\to e\mu$, $ee\to\mu\mu$, $\ell p\to \ell p$, $\mu\to\nu\bar\nu e$) including effects from the lepton masses. This makes McMule suitable for predictions for low-energy experiments such as MUonE, CMD-III, PRad, or MUSE.
Recently, McMule gained...
Total 5-loop quantum electrodynamics calculation results for the electron anomalous magnetic moment will be presented. These results provide the first check of the previously known value obtained by T. Aoyama, M. Hayakawa, T. Kinoshita, M. Nio. A comparison will be provided. The results for the Feynman diagrams without lepton loops were presented by the author in 2018-2019. The remaining part...
We recently explored methods for 2-loop Feynman integrals in the Euclidean or physical kinematical region, using numerical extrapolation and adaptive iterated integration. Our current goal is to address 3-loop two-point integrals with up to 6 internal lines.
Using double extrapolation, the integral $\mathcal I$ is approximated numerically by the limit of a sequence of integrals $\mathcal...
In this talk I will present recent developments on the calculation of five-point scattering amplitudes in massless QCD beyond the leading-colour approximation.
I will discuss the methodology that we pursued to compute these highly non-trivial amplitudes. In this respect, I will argue that it is possible to tackle and tame the seemingly intractable algebraic complexity at each step of the...
Quantum simulation of quantum field theories offers a new way to investigate properties of the fundamental constituents of matter. We develop quantum simulation algorithms based on the light-front formulation of relativistic field theories. The process of quantizing the system in light-cone coordinates will be explained for a Hamiltonian formulation, which becomes block diagonal, each block...
