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Open AccessArticle

Estimation of Interaction Locations in Super Cryogenic Dark Matter Search Detectors Using Genetic Programming-Symbolic Regression Method

by Nikola Anđelić, Sandi Baressi Šegota, Matko Glučina and Zlatan Car

Appl. Sci. 2023, 13(4), 2059; https://doi.org/10.3390/app13042059 - 5 Feb 2023

Cited by 2 | Viewed by 1794

Abstract

The Super Cryogenic Dark Matter Search (SuperCDMS) experiment is used to search for Weakly Interacting Massive Particles (WIMPs)—candidates for dark matter particles. In this experiment, the WIMPs interact with nuclei in the detector; however, there are many other interactions (background interactions). To separate background interactions from the signal, it is necessary to measure the interaction energy and to reconstruct the location of the interaction between WIMPs and the nuclei. In recent years, some research papers have been investigating the reconstruction of interaction locations using artificial intelligence (AI) methods. In this paper, a genetic programming-symbolic regression (GPSR), with randomly tuned hyperparameters cross-validated via a five-fold procedure, was applied to the SuperCDMS experiment to estimate the interaction locations with high accuracy. To measure the estimation accuracy of obtaining the SEs, the mean and standard deviation (

σ

) values of

R^{2}

, the root-mean-squared error (

R M S E

), and finally, the mean absolute error (

M A E

) were used. The investigation showed that using GPSR, SEs can be obtained that estimatethe interaction locations with high accuracy. To improve the solution, the five best SEs were combined from the three best cases. The results demonstrated that a very high estimation accuracy can be achieved with the proposed methodology. Full article

(This article belongs to the Special Issue Evolutionary Computation: Theories, Techniques, and Applications)

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17 pages, 1100 KiB

Open AccessArticle

Quintessence Behavior of an Anisotropic Bulk Viscous Cosmological Model in Modified f(Q)-Gravity

by Anirudh Pradhan, Archana Dixit and Dinesh Chandra Maurya

Symmetry 2022, 14(12), 2630; https://doi.org/10.3390/sym14122630 - 12 Dec 2022

Cited by 34 | Viewed by 1749

Abstract

In this article, we consider an anisotropic viscous cosmological model having LRS Bianchi type I spacetime with

f (Q)

gravity. We investigate the modified

f (Q)

gravity with form

f (Q) = α Q^{2} + β

[...] Read more.

In this article, we consider an anisotropic viscous cosmological model having LRS Bianchi type I spacetime with

f (Q)

gravity. We investigate the modified

f (Q)

gravity with form

f (Q) = α Q^{2} + β

, where Q is the non-metricity scalar and

α

β

are the positive constants. From the modified Einstein’s field equation having the viscosity coefficient

ξ (t) = ξ_{0} H

, the scale factor is derived as

a (t) = 2 s i n h (\frac{m + 2}{6} \sqrt{\frac{ξ_{0}}{α (2 m + 1)}} t)

. We apply the observational constraints on the apparent magnitude

m (z)

using the

χ^{2}

test formula with the observational data set such as JLA, Union 2.1 compilation and obtained the best approximate values of the model parameters

m, α, H_{0}, ξ_{0}

. We find a transit universe which is accelerating at late times. We also examined the bulk viscosity equation of state (EoS) parameter

ω_{v}

and derived its current value satisfying

ω_{v} < - 1 / 3

, which shows the dark energy dominating universe evolution having a cosmological constant, phantom, and super-phantom evolution stages. It tends to the

Λ

cold dark matter (

Λ

CDM) value (

ω_{v} = - 1

) at late times. We also estimate the current age of the universe as

t_{0} \approx 13.6

Gyrs and analyze the statefinder parameters with

(s, r) \to (0, 1)

t \to \infty

. Full article

(This article belongs to the Special Issue Symmetry in Gravity Research)

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