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The nuclear $\alpha$ decay of heavy nuclei is investigated based on the nuclear energy density functional, which leads to the $\alpha$ potential inside the parent nucleus in terms of the proton and neutron density profiles of the daughter…

Nuclear Theory · Physics 2017-03-22 Yeunhwan Lim , Yongseok Oh

$\texttt{raccoon}$ is a Python package for removing resampling noise - commonly referred to as "wiggles'' - from spaxel-level spectra in datacubes obtained from the JWST Near Infrared Spectrograph's (NIRSpec) integral field spectroscopy…

Instrumentation and Methods for Astrophysics · Physics 2025-07-18 Anowar J. Shajib

While the observation of nucleon decay would be a smoking gun of Grand Unified Theories (GUTs) in general, the ratios between the decay rates of the various channels carry rich information about the specific GUT model realization. To…

High Energy Physics - Phenomenology · Physics 2021-06-30 Stefan Antusch , Christian Hohl , Vasja Susič

We introduce a new software package, DarkMatters, which has been designed to facilitate the calculation of all aspects of indirect dark matter detection of WIMPs in astrophysical settings. Two primary features of this code are the…

High Energy Physics - Phenomenology · Physics 2024-09-10 Michael Sarkis , Geoff Beck

This paper describes a novel Python package, named causalgraph, for modeling and saving causal graphs embedded in knowledge graphs. The package has been designed to provide an interface between causal disciplines such as causal discovery…

Artificial Intelligence · Computer Science 2023-01-23 Sven Pieper , Carl Willy Mehling , Dominik Hirsch , Tobias Lüke , Steffen Ihlenfeldt

\texttt{aurel} is an open-source Python package designed to \emph{au}tomatically calculate \emph{rel}ativistic quantities. It uses an efficient, flexible and user-friendly caching and dependency-tracking system, ideal for managing the…

Instrumentation and Methods for Astrophysics · Physics 2026-02-13 Robyn L. Munoz , Christian T. Byrnes , Will J. Roper

This paper presents the R package gRapHD for efficient selection of high-dimensional undirected graphical models. The package provides tools for selecting trees, forests and decomposable models minimizing information criteria such as AIC or…

Machine Learning · Statistics 2019-09-24 Gabriel C. G. de Abreu , Rodrigo Labouriau , David Edwards

The deuteron wave function can be presented as the table through the respective massifs of numerically values of radial wave functions. In calculations such arrays of numbers in the texts of programs to operate quite difficult. Therefore a…

Nuclear Theory · Physics 2019-07-15 V. I. Zhaba

In a continued quest to monitor subsecond surface dynamics on the atomic scale and to improve imaging resolution, a FAST module to accelerate existing scanning probe microscopy setups was previously presented. Hereby, the speedup is enabled…

Instrumentation and Detectors · Physics 2023-01-30 K. Briegel , F. Riccius , J. Filser , A. Bourgund , R. Spitzenpfeil , M. Panighel , C. Dri , B. A. J. Lechner , F. Esch

In this article we report the release of a new program for calculating the emissivity of atomic transitions. The program, which can be obtained with its documentation from our website www.scienceware.net, passed various rigorous tests and…

Atomic Physics · Physics 2010-05-12 Taha Sochi

In recent years, numerical simulations have become indispensable for addressing complex astrophysical problems. The MagnetoHydroDynamics (MHD) framework represents a key tool for investigating the dynamical evolution of astrophysical…

Instrumentation and Methods for Astrophysics · Physics 2025-09-18 Giancarlo Mattia , Daniele Crocco , David Melon Fuksman , Matteo Bugli , Vittoria Berta , Eleonora Puzzoni , Andrea Mignone , Bhargav Vaidya

The kinematics of the decay of a bound proton is governed by the proton spectral function. We evaluate this quantity in 16O using the information from nuclear physics experiments. It also includes a correlated part. The reliability of this…

Nuclear Theory · Physics 2010-05-28 M. Alvioli , O. Benhar , M. Ericson , M. Strikman

In this paper, a set of Python methods is described that can be used to compute the frequency response of an arbitrary biochemical network given any input and output. Models can be provided in standard SBML or Antimony format. The code…

Molecular Networks · Quantitative Biology 2024-07-30 Herbert M Sauro

We describe pynucastro 2.0, an open source library for interactively creating and exploring astrophysical nuclear reaction networks. We demonstrate new methods for approximating rates and using detailed balance to create reverse rates, show…

Instrumentation and Methods for Astrophysics · Physics 2022-10-19 Alexander Smith Clark , Eric T. Johnson , Zhi Chen , Kiran Eiden , Donald E. Willcox , Brendan Boyd , Lyra Cao , Christopher J. DeGrendele , Michael Zingale

A new evaluation of 2beta-decay half lives and their systematics is presented. These data extend the previous evaluation and include the analysis of all recent measurements. The nuclear matrix elements for 2beta-decay transitions in 12…

Nuclear Theory · Physics 2014-07-09 Boris Pritychenko

Recent work of M.D. Johnston et al. has produced sufficient conditions on the structure of a chemical reaction network which guarantee that the corresponding discrete state space system exhibits an extinction event. The conditions consist…

Optimization and Control · Mathematics 2017-01-11 Matthew D. Johnston

In this work, we present a software package in Python for high-throughput first-principles calculations of thermodynamic properties at finite temperatures, which we refer to as DFTTK (Density Functional Theory Tool Kit). DFTTK is based on…

In nuclear reaction experiments, the measured decay energy spectra can give insights into the shell structure of decaying systems. However, extracting the underlying physics from the measurements is challenging due to detector resolution…

The yaglm package aims to make the broader ecosystem of modern generalized linear models accessible to data analysts and researchers. This ecosystem encompasses a range of loss functions (e.g. linear, logistic, quantile regression),…

Computation · Statistics 2021-10-13 Iain Carmichael , Thomas Keefe , Naomi Giertych , Jonathan P Williams

Material radioactivity compilations, such as the one presented here, are important enablers of science. They are useful for the selection of radiopure materials used in the design and construction of low-energy rare-event search…

Instrumentation and Detectors · Physics 2026-04-20 R. MacLellan , P. Acharya , B. Aharmim , S. Alcantar Anguiano , A. Anker , I. J. Arnquist , D. Auty , T. Bhatta , D. Chernyak , J. S. Choe , B. Cleveland , J. Daughhetee , A. Der Mesrobian-Kabakian , Y. Y. Ding , M. L. di Vacri , J. Farine , A. D. French , O. Gileva , R. Gornea , K. Harouaka , K. P. Hobbs , E. W. Hoppe , L. K. S. Horkley , M. Hughes , L. Kieser , A. Larson , I. Lawson , E. K. Lee , D. S. Leonard , K. M. Melby , B. Mong , O. Nusair , D. Pacesila , A. Piepke , N. D. Rocco , R. Saldanha , A. B. M. R. Sazzad , T. D. Schlieder , K. S. Thommasson , R. H. M. Tsang , V. Veeraraghavan , C. Vivo-Vilches , J. Vuilleumier , L. J. Wen , J. Zhao , A. Amy , A. Atencio , J. Bane , V. Belov , A. Bolotnikov , P. A. Breur , J. P. Brodsky , E. Brown , T. Brunner , B. Burnell , E. Caden , G. F. Cao , L. Q. Cao , D. Cesmecioglu , M. Chiu , R. Collister , E. Coulthard , T. Daniels , L. Darroch , M. J. Dolinski , B. Eckert , A. Emara , N. Fatemighomi , W. Fairbank , B. Foust , D. Gallacher , N. Gallice , A. Gaur , G. Giacomini , W. Gillis , F. Girard , A. Gorham , G. Gratta , C. A. Hardy , M. Heffner , E. Hein , J. D. Holt , A. Iverson , A. Karelin , D. Keblbeck , I. Kotov , A. Kuchenkov , K. S. Kumar , M. B. Latif , S. Lavoie , B. G. Lenardo , K. K. H. Leung , H. Lewis , X. Li , Z. Li , C. Licciardi , R. Lindsay , S. Majidi , C. Malbrunot , M. Marquis , C J. Masbou , M. Medina-Peregrina , S. Mngonyama , D. C. Moore , X. E. Ngwadla , K. Ni , A. Nolan , J. C. Nzobadila Ondze , A. Odian , J. L. Orrell , G. S. Ortega , C. T. Overman , L. Pagani , A. Pena-Perez , H. Peltz Smalley , A. Pocar , E. Raguzin , R. Rai , H. Rasiwala , D. Ray , A. M. Remnant , G. Richardson , V. Riot , R. Ross , P. C. Rowson , S. Sangiorgio , D. R. Seiner , S. Sekula , T. Shetty , L. Si , K. Skarpaas , V. Stekhanov , X. L. Sun , S. Thibado , A. Todd , T. Totev , S. Triambak , O. A. Tyuka , T. Vallivilayil John , E. van Bruggen , S. Viel , Q. D. Wang , M. Watts , W. Wei , S. Wilde , X. M. Wu , H. Xu , H. B. Yang , L. Yang , M. Yu , O. Zeldovich