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The [Ba/Eu] abundance ratio is commonly adopted as a tracer of the relative contributions of the slow (s) and rapid (r) neutron-capture processes. However, at [Fe/H] < -2 dex, Ba can be produced efficiently by both processes, rendering…

Extragalactic nebular emission has long been a workhorse probe of the processes driving galaxy evolution, but the richness of JWST spectroscopy has shifted the bottleneck from data acquisition to physical interpretation and modelling. In…

Astrophysics of Galaxies · Physics 2025-10-17 William McClymont , Aaron Smith , Sandro Tacchella

A present prevailing open problem planetary nebulae research, and photoionized gaseous nebulae research at large, is the systematic discrepancies in ionic abundances derived from recombination and collisionally excited lines in many H II…

Solar and Stellar Astrophysics · Physics 2017-09-26 Manuel A. Bautista , Ehab E. Ahmed

We present a technique for estimating the number of future neutrinoless double-beta decay results using several distinct nuclei to optimize the physics reach of upcoming experiments. We use presently available matrix element calculations…

High Energy Physics - Phenomenology · Physics 2008-11-26 V. M. Gehman , S. R. Elliott

We present the results of several collisional-radiative models describing optically-thin emissivities of the main lines in neutral helium formed by recombination, for a grid of electron temperatures and densities, typical of H II regions…

Astrophysics of Galaxies · Physics 2022-04-13 G. Del Zanna , P. J. Storey

Neural networks (NNs) are currently changing the computational paradigm on how to combine data with mathematical laws in physics and engineering in a profound way, tackling challenging inverse and ill-posed problems not solvable with…

Machine Learning · Computer Science 2023-02-08 Apostolos F Psaros , Xuhui Meng , Zongren Zou , Ling Guo , George Em Karniadakis

We derive general equations for non-linearity corrections and statistical uncertainty (variance) estimates for data acquired with near-infrared detectors employing correlated double sampling, multiple correlated double sampling (Fowler…

Astrophysics · Physics 2009-11-10 W. D. Vacca , M. C. Cushing , J. T. Rayner

The Noble Element Simulation Technique (NEST) is an exhaustive collection of models explaining both the scintillation light and ionization yields of noble elements as a function of particle type (nuclear recoil, electron recoil, alphas),…

Instrumentation and Detectors · Physics 2015-06-16 Matthew Szydagis , Adalyn Fyhrie , Daniel Thorngren , Mani Tripathi

Context: In recent years mid- and far infrared spectra of planetary nebulae have been analysed and lead to more accurate abundances. It may be expected that these better abundances lead to a better understanding of the evolution of these…

Astrophysics of Galaxies · Physics 2015-05-19 S. R. Pottasch , J. Bernard-Salas

Several methods exist to convert near-infrared (NIR) stellar observations into extinction maps. We present a new method based on NIR multiband observations. The method uses a discretised version of the distribution of intrinsic stellar…

Astrophysics of Galaxies · Physics 2016-01-13 M. Juvela , J. Montillaud

We present observations and initial analysis from an HST/STIS program to obtain the first co-spatial, UV-optical spectra of ten Galactic planetary nebulae (PNe). Our primary objective was to measure the critical emission lines of carbon and…

Solar and Stellar Astrophysics · Physics 2015-06-23 Reginald J. Dufour , Karen B. Kwitter , Richard A. Shaw , Richard B. C. Henry , Bruce Balick , Romano L. M. Corradi

The Number needed to treat (NNT) is an efficacy index defined as the average number of patients needed to treat to attain one additional treatment benefit. In observational studies, specifically in epidemiology, the adequacy of the…

Methodology · Statistics 2025-04-21 Valentin Vancak , Arvid Sjölander

Planetary Nebulae (PNe) abundance patterns have long been used to note signatures of nuclear processing and to trace the distribution of metals throughout galaxies. We present abundance gradients and heavy element ratios based upon newly…

Astrophysics · Physics 2009-11-11 J. B. Milingo , K. B. Kwitter , R. B. C. Henry , S. P. Souza

Uncertainty estimation is crucial in scientific data for machine learning. Current uncertainty estimation methods mainly focus on the model's inherent uncertainty, while neglecting the explicit modeling of noise in the data. Furthermore,…

Machine Learning · Computer Science 2024-09-13 Guangxuan Song , Dongmei Fu , Zhongwei Qiu , Jintao Meng , Dawei Zhang

Eclipsing binaries provide one of the most direct mechanisms for measuring stellar properties such as mass and radius, but historically, determining these properties has been non-trivial and computationally prohibitive. As such, only a…

Aluminium plays a key role in studies of the chemical enrichment of the Galaxy and of globular clusters. However, strong deviations from LTE (non-LTE) are known to significantly affect the inferred abundances in giant and metal-poor stars.…

Solar and Stellar Astrophysics · Physics 2017-11-28 Thomas Nordlander , Karin Lind

Classical novae are stellar explosions occurring in binary systems, consisting of a white dwarf and a main sequence companion. Thermonuclear runaways on the surface of massive white dwarfs, consisting of oxygen and neon, are believed to…

Solar and Stellar Astrophysics · Physics 2015-06-12 Lori N. Downen , Christian Iliadis , Jordi José , Sumner Starrfield

We determine the elemental abundances for the ejecta of the slow nova PW Vul 1984. Our technique uses a minimization of the emission line fits of a photoionization model to available ultraviolet, optical and infrared spectra. We find the…

Astrophysics · Physics 2015-06-24 Greg J. Schwarz , S. Starrfield , Steven N. Shore , Peter H. Hauschildt

Accurate modeling of the neutron star crust is essential for interpreting multimessenger observations and constraining the nuclear equation of state (EoS). However, standard phenomenological EoS models often rely on heuristic extrapolations…

Nuclear Theory · Physics 2025-08-14 S. Burrello , F. Gulminelli , M. Antonelli , M. Colonna , A. Fantina

Memristive crossbars suffer from non-idealities (such as, sneak paths) that degrade computational accuracy of the Deep Neural Networks (DNNs) mapped onto them. A 1T-1R synapse, adding a transistor (1T) in series with the memristive synapse…

Emerging Technologies · Computer Science 2020-12-02 Abhiroop Bhattacharjee , Lakshya Bhatnagar , Youngeun Kim , Priyadarshini Panda
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