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Related papers: Particle ratios with in Hadron Resonance Gas (HRG)…

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In this work, we propose a new nonparametric approach for reconstructing a function from observational data using an Artificial Neural Network (ANN), which has no assumptions about the data and is a completely data-driven approach. We test…

Cosmology and Nongalactic Astrophysics · Physics 2022-08-26 Guo-Jian Wang , Xiao-Jiao Ma , Si-Yao Li , Jun-Qing Xia

A comprehensive study has been performed to estimate the kaon to pion ($K^\pm$/$\pi^\pm$) yield ratio and total kaon to total pion ($K$/$\pi$) yield ratio as a function of centre of mass energy in $pp$ collisions at different energies i.e.,…

High Energy Physics - Phenomenology · Physics 2022-10-25 A. M. Khan , M. U. Ashraf , Junaid Tariq , Anwarzada , Ijaz Ahmed

We explore the application of artificial neural networks (ANNs) for the estimation of atmospheric parameters (Teff, logg, and [Fe/H]) for Galactic F- and G-type stars. The ANNs are fed with medium-resolution (~ 1-2 A) non flux-calibrated…

Photoplethysmographic (PPG) measurements are susceptible to motion artifacts (MA) due to movement of the peripheral body parts. In this paper, we present a new approach to identify the MA corrupted PPG beats and then rectify the beat…

Signal Processing · Electrical Eng. & Systems 2018-07-17 Monalisa Singha Roy , Rajarshi Gupta , Jayanta K. Chandra , Kaushik Das Sharma , Arunansu Talukdar

In this paper, the hybrid sparse/diffuse (HSD) channel model in frequency domain is proposed. Based on the structural analysis on the resolvable paths and diffuse scattering statistics in the channel, the Hybrid Atomic-Least-Squares (HALS)…

Signal Processing · Electrical Eng. & Systems 2025-09-16 Lei Lyu , Urbashi Mitra

We studied the Active Galactic Nuclei (AGN) radio emission from a compilation of hard X-ray selected samples, all observed in the 1.4 GHz band. A total of more than 1600 AGN with 2-10 keV de-absorbed luminosities higher than 10^42 erg/s…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-19 F. La Franca , G. Melini , F. Fiore

Artificial Neural Networks (ANN) are already heavily involved in methods and applications for frequent tasks in the field of computational chemistry such as representation of potential energy surfaces (PES) and spectroscopic predictions.…

Chemical Physics · Physics 2022-12-23 Silvan Käser , Luis Itza Vazquez-Salazar , Markus Meuwly , Kai Töpfer

We report measurements and theoretical simulations of high-order harmonic generation (HHG) in aligned N$_2$ molecules using a 1200-nm intense laser field when the generating pulse is perpendicular to the aligning one. With increasing laser…

Robotic affordance estimation is challenging due to visual, geometric, and semantic ambiguities in sensory input. We propose a method that disambiguates these signals using two coupled recursive estimators for sub-aspects of affordances:…

Robotics · Computer Science 2026-03-17 Patrick Lowin , Vito Mengers , Oliver Brock

Future and on-going infrared and radio observatories such as JWST, METIS or ALMA will increase the amount of rest-frame IR spectroscopic data for galaxies by several orders of magnitude. While studies of the chemical composition of the ISM…

Astrophysics of Galaxies · Physics 2022-10-19 Borja Pérez-Díaz , Enrique Pérez-Montero , Juan A. Fernández-Ontiveros , José M. Vílchez

Background: $^{132}$Sn+$^{124}$Sn collisions at the beam energy of 270 MeV$/$nucleon have been performed at the Radioactive Isotope Beam Factory (RIBF) in RIKEN to investigate the nuclear equation of state. Reconstructing impact parameter…

Nuclear Theory · Physics 2021-09-22 Fupeng Li , Yongjia Wang , Zepeng Gao , Pengcheng Li , Hongliang Lv , Qingfeng Li , C. Y. Tsang , M. B. Tsang

Artificial Neural Networks (ANN) have been popularized in many science and technological areas due to their capacity to solve many complex pattern matching problems. That is the case of Virtual Screening, a research area that studies how to…

Neural and Evolutionary Computing · Computer Science 2020-06-05 Christian F. Frasser , Carola de Benito , Vincent Canals , Miquel Roca , Pedro J. Ballester , Josep L. Rossello

We revisit here how Raman spectroscopy can be used to estimate the H content in hard hydrogenated amorphous carbon layers. The H content was varied from 2 at.% to 30 at.%, using heat treatments of a a-C:H, from room temperature to 1300 K…

Materials Science · Physics 2013-08-22 Cedric Pardanaud , C. Martin , P. Roubin , G. Giacometti , C. Hopf , T. Schwarz-Selinger , W. Jacob

Elucidating the connection between the properties of galaxies and the properties of their hosting haloes is a key element in galaxy formation. When the spatial distribution of objects is also taken under consideration, it becomes very…

We calculate the correlation functions for the $\bar K^0 p, \pi^+ \Sigma^0, \pi^0 \Sigma^+, \pi^+ \Lambda$, and $\eta \Sigma^+$ states, which in the chiral unitary approach predict an excited $\Sigma^*(1/2^-)$ state at the $\bar K N$…

High Energy Physics - Phenomenology · Physics 2024-12-10 Hai-Peng Li , Chu-Wen Xiao , Wei-Hong Liang , Jia-Jun Wu , En Wang , Eulogio Oset

An effective-Lagrangian framework for K Sigma photoproduction from the proton is presented. The proposed model is applicable at forward kaon angles and photon lab energies from threshold up to 16 GeV. The high-energy part of the…

Nuclear Theory · Physics 2008-11-26 T. Corthals , D. G. Ireland , T. Van Cauteren , J. Ryckebusch

We measure the relative abundances of strange mesons, baryons, and anti-baryons correlated with high-$p_T$ trigger particles in $^{197}$Au + $^{197}$Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. Particle yields and ratios are extracted on the…

Nuclear Experiment · Physics 2007-05-24 Jiaxu Zuo

The PHENIX detector at RHIC measured high p_T identified hadron ratios in sqrt(s_NN) = 200GeV Au+Au collisions. Within the current systematic and statistical errors, pbar/p ratios that are measured up to 3.8GeV/c are almost independent of…

Nuclear Experiment · Physics 2019-08-14 T. Sakaguchi

A new method of preparing the pseudo-pure state of a spin system for quantum computation in liquid nuclear magnetic resonance (NMR) was put forward and demonstrated experimentally. Applying appropriately connected line-selective pulses…

Quantum Physics · Physics 2019-08-17 Xinhua Peng , Xiwen Zhu , Ximing Fang , Mang Feng , Keli Gao , Xiaodong Yang , Maili Liu

We have designed a new method to fit the energy and atomic forces using a single artificial neural network (SANN) for any number of chemical species present in a molecular system. The traditional approach for fitting the potential energy…

Chemical Physics · Physics 2018-12-05 Shweta Jindal , Satya S. Bulusu
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