English
Related papers

Related papers: ALPaca: The ALP Automatic Computing Algorithm

200 papers

We review the physics of ultralight axion-like particles (ALPs) as dark matter candidates and the experimental strategies used to search for them with precision and quantum technologies. In the ultralight regime, the enormous occupation…

High Energy Physics - Phenomenology · Physics 2026-03-25 Sreemanti Chakraborti

Adaptive Partition-based Methods (APM) are numerical methods to solve two-stage stochastic linear problems (2SLP). The core idea is to iteratively construct an adapted partition of the space of alea in order to aggregate scenarios while…

Optimization and Control · Mathematics 2021-09-13 Maël Forcier , Vincent Leclère

Axion-like particles (ALPs) belong to a class of new pseudoscalar particles that generically couple to photons, opening the possibility of oscillations from photons into ALPs in an external magnetic field. Having witnessed the turbulence of…

High Energy Astrophysical Phenomena · Physics 2013-11-14 Denis Wouters , Pierre Brun

In the development of industrial digital twins, the optimization problem of technological and business processes often arises. In many cases, this problem can be reduced to a large-scale linear programming (LP) problem. The article is…

Optimization and Control · Mathematics 2021-02-16 Leonid B. Sokolinsky , Irina M. Sokolinskaya

Axion like particles (ALPs) are fundamental pseudo scalar particles with properties similar to Axions which are a well-known extension of the standard model to solve the strong CP problem in Quantum Chromodynamics. ALPs can oscillate into…

High Energy Astrophysical Phenomena · Physics 2017-10-30 Jhilik Majumdar , Francesca Calore , Dieter Horns

Approximate linear programming (ALP) and its variants have been widely applied to Markov Decision Processes (MDPs) with a large number of states. A serious limitation of ALP is that it has an intractable number of constraints, as a result…

Systems and Control · Computer Science 2017-04-11 Chandrashekar Lakshminarayanan , Shalabh Bhatnagar , Csaba Szepesvari

Axion-like particles (ALPs) decaying into photons are known to affect a wide range of astrophysical and cosmological observables. In this study we focus on ALPs with masses in the keV-MeV range and lifetimes between $10^4$ and $10^{13}$…

We present a novel data-driven method for determining the hadronic interaction strengths of axion-like particles (ALPs) with QCD-scale masses. Using our method, it is possible to calculate the hadronic production and decay rates of ALPs,…

High Energy Physics - Phenomenology · Physics 2019-11-11 Daniel Aloni , Yotam Soreq , Mike Williams

X-ray telescopes are an exceptional tool for searching for new fundamental physics. In particular, X-ray observations have already placed world-leading bounds on the interaction between photons and axion-like particles (ALPs). ALPs are…

High Energy Physics - Phenomenology · Physics 2018-04-11 Francesca Day , Sven Krippendorf

We propose a scenario where both inflation and dark matter are described by a single axion-like particle (ALP) in a unified manner. In a class of the minimal axion hilltop inflation, the effective masses at the maximum and mimimum of the…

High Energy Physics - Phenomenology · Physics 2017-05-25 Ryuji Daido , Fuminobu Takahashi , Wen Yin

We provide a comprehensive analysis of the phenomenology of axion-like particles (ALPs) produced in core-collapse supernovae (ccSNe) through interactions with electrons and muons, both of which have a non-negligible abundance in the SN…

High Energy Physics - Phenomenology · Physics 2025-10-17 Ricardo Z. Ferreira , M. C. David Marsh , Eike Ravensburg

Axion-like particles (ALPs) appear from spontaneous global symmetry breaking in many extensions of the Standard Model (SM). In this paper, we find bounds on ALP ($a$) model parameters at the LHC from the ALP production associated with a…

High Energy Physics - Phenomenology · Physics 2019-07-24 Javad Ebadi , Sara Khatibi , Mojtaba Mohammadi Najafabadi

We present an overview of Sherpa, an open source Python project, and discuss its development history, broad design concepts and capabilities. Sherpa contains powerful tools for combining parametric models into complex expressions that can…

Robotic Process Automation (RPA) is the automation of rule-based routine processes to increase efficiency and to reduce costs. Due to the utmost importance of process automation in industry, RPA attracts increasing attention in the…

Robotics · Computer Science 2020-12-23 Judith Wewerka , Manfred Reichert

Atomic-level simulations are widely used to study biomolecules and their dynamics. A common goal in such studies is to compare simulations of a molecular system under several conditions -- for example, with various mutations or bound…

Biomolecules · Quantitative Biology 2025-01-07 Martin Vögele , Neil J. Thomson , Sang T. Truong , Jasper McAvity , Ulrich Zachariae , Ron O. Dror

We study cross correlations between line intensity and weak lensing maps to search for axion-like particles (ALPs). Radiative decay of eV-mass ALPs can contribute to cosmic background emissions at optical and infrared wavelengths. Line…

Cosmology and Nongalactic Astrophysics · Physics 2021-05-26 Masato Shirasaki

Wavelength calibration is a routine and critical part of any spectral work-flow, but many astronomers still resort to matching detected peaks and emission lines by hand. We present RASCAL (RANSAC Assisted Spectral CALibration), a python…

Instrumentation and Methods for Astrophysics · Physics 2019-12-13 Josh Veitch-Michaelis , Marco C Lam

Axion-like particles (ALPs) are a class of hypothetical pseudoscalar particles which feebly interact with ordinary matter. The hot plasma of core-collapse supernovae is a possible laboratory to explore physics beyond the standard model…

High Energy Astrophysical Phenomena · Physics 2022-03-23 Kanji Mori , Tomoya Takiwaki , Kei Kotake , Shunsaku Horiuchi

We present a data-parallel software package for fitting Gaussian Approximation Potentials (GAPs) on multiple nodes using the ScaLAPACK library with MPI and OpenMP. Until now the maximum training set size for GAP models has been limited by…

Materials Science · Physics 2022-11-14 Sascha Klawohn , James R. Kermode , Albert P. Bartók