Starlib

A next-generation reaction-rate library for nuclear astrophysics

A. L. Sallaska, C. Iliadis, A. E. Champange, S. Goriely, Sumner Starrfield, Francis Timmes

Research output: Contribution to journalArticle

69 Citations (Scopus)

Abstract

STARLIB is a next-generation, all-purpose nuclear reaction-rate library. For the first time, this library provides the rate probability density at all temperature grid points for convenient implementation in models of stellar phenomena. The recommended rate and its associated uncertainties are also included. Currently, uncertainties are absent from all other rate libraries, and, although estimates have been attempted in previous evaluations and compilations, these are generally not based on rigorous statistical definitions. A common standard for deriving uncertainties is clearly warranted. STARLIB represents a first step in addressing this deficiency by providing a tabular, up-to-date database that supplies not only the rate and its uncertainty but also its distribution. Because a majority of rates are lognormally distributed, this allows the construction of rate probability densities from the columns of STARLIB. This structure is based on a recently suggested Monte Carlo method to calculate reaction rates, where uncertainties are rigorously defined. In STARLIB, experimental rates are supplemented with: (1) theoretical TALYS rates for reactions for which no experimental input is available, and (2) laboratory and theoretical weak rates. STARLIB includes all types of reactions of astrophysical interest to Z = 83, such as (p, γ), (p, α), (α, n), and corresponding reverse rates. Strong rates account for thermal target excitations. Here, we summarize our Monte Carlo formalism, introduce the library, compare methods of correcting rates for stellar environments, and discuss how to implement our library in Monte Carlo nucleosynthesis studies. We also present a method for accessing STARLIB on the Internet and outline updated Monte Carlo-based rates.

Original languageEnglish (US)
Article number18
JournalAstrophysical Journal, Supplement Series
Volume207
Issue number1
DOIs
StatePublished - Jul 2013

Fingerprint

nuclear astrophysics
astrophysics
reaction rate
reaction kinetics
rate
library
nuclear fusion
nuclear reactions
Monte Carlo method

Keywords

  • catalogs
  • methods: numerical nuclear reactions, nucleosynthesis, abundances
  • stars: abundances
  • stars: general
  • stars: interiors
  • supernovae: general
  • white dwarfs

ASJC Scopus subject areas

  • Space and Planetary Science
  • Astronomy and Astrophysics

Cite this

Starlib : A next-generation reaction-rate library for nuclear astrophysics. / Sallaska, A. L.; Iliadis, C.; Champange, A. E.; Goriely, S.; Starrfield, Sumner; Timmes, Francis.

In: Astrophysical Journal, Supplement Series, Vol. 207, No. 1, 18, 07.2013.

Research output: Contribution to journalArticle

@article{cbd26e42b889410a843aca4c93b8c5f7,
title = "Starlib: A next-generation reaction-rate library for nuclear astrophysics",
abstract = "STARLIB is a next-generation, all-purpose nuclear reaction-rate library. For the first time, this library provides the rate probability density at all temperature grid points for convenient implementation in models of stellar phenomena. The recommended rate and its associated uncertainties are also included. Currently, uncertainties are absent from all other rate libraries, and, although estimates have been attempted in previous evaluations and compilations, these are generally not based on rigorous statistical definitions. A common standard for deriving uncertainties is clearly warranted. STARLIB represents a first step in addressing this deficiency by providing a tabular, up-to-date database that supplies not only the rate and its uncertainty but also its distribution. Because a majority of rates are lognormally distributed, this allows the construction of rate probability densities from the columns of STARLIB. This structure is based on a recently suggested Monte Carlo method to calculate reaction rates, where uncertainties are rigorously defined. In STARLIB, experimental rates are supplemented with: (1) theoretical TALYS rates for reactions for which no experimental input is available, and (2) laboratory and theoretical weak rates. STARLIB includes all types of reactions of astrophysical interest to Z = 83, such as (p, γ), (p, α), (α, n), and corresponding reverse rates. Strong rates account for thermal target excitations. Here, we summarize our Monte Carlo formalism, introduce the library, compare methods of correcting rates for stellar environments, and discuss how to implement our library in Monte Carlo nucleosynthesis studies. We also present a method for accessing STARLIB on the Internet and outline updated Monte Carlo-based rates.",
keywords = "catalogs, methods: numerical nuclear reactions, nucleosynthesis, abundances, stars: abundances, stars: general, stars: interiors, supernovae: general, white dwarfs",
author = "Sallaska, {A. L.} and C. Iliadis and Champange, {A. E.} and S. Goriely and Sumner Starrfield and Francis Timmes",
year = "2013",
month = "7",
doi = "10.1088/0067-0049/207/1/18",
language = "English (US)",
volume = "207",
journal = "Astrophysical Journal, Supplement Series",
issn = "0067-0049",
publisher = "IOP Publishing Ltd.",
number = "1",

}

TY - JOUR

T1 - Starlib

T2 - A next-generation reaction-rate library for nuclear astrophysics

AU - Sallaska, A. L.

AU - Iliadis, C.

AU - Champange, A. E.

AU - Goriely, S.

AU - Starrfield, Sumner

AU - Timmes, Francis

PY - 2013/7

Y1 - 2013/7

N2 - STARLIB is a next-generation, all-purpose nuclear reaction-rate library. For the first time, this library provides the rate probability density at all temperature grid points for convenient implementation in models of stellar phenomena. The recommended rate and its associated uncertainties are also included. Currently, uncertainties are absent from all other rate libraries, and, although estimates have been attempted in previous evaluations and compilations, these are generally not based on rigorous statistical definitions. A common standard for deriving uncertainties is clearly warranted. STARLIB represents a first step in addressing this deficiency by providing a tabular, up-to-date database that supplies not only the rate and its uncertainty but also its distribution. Because a majority of rates are lognormally distributed, this allows the construction of rate probability densities from the columns of STARLIB. This structure is based on a recently suggested Monte Carlo method to calculate reaction rates, where uncertainties are rigorously defined. In STARLIB, experimental rates are supplemented with: (1) theoretical TALYS rates for reactions for which no experimental input is available, and (2) laboratory and theoretical weak rates. STARLIB includes all types of reactions of astrophysical interest to Z = 83, such as (p, γ), (p, α), (α, n), and corresponding reverse rates. Strong rates account for thermal target excitations. Here, we summarize our Monte Carlo formalism, introduce the library, compare methods of correcting rates for stellar environments, and discuss how to implement our library in Monte Carlo nucleosynthesis studies. We also present a method for accessing STARLIB on the Internet and outline updated Monte Carlo-based rates.

AB - STARLIB is a next-generation, all-purpose nuclear reaction-rate library. For the first time, this library provides the rate probability density at all temperature grid points for convenient implementation in models of stellar phenomena. The recommended rate and its associated uncertainties are also included. Currently, uncertainties are absent from all other rate libraries, and, although estimates have been attempted in previous evaluations and compilations, these are generally not based on rigorous statistical definitions. A common standard for deriving uncertainties is clearly warranted. STARLIB represents a first step in addressing this deficiency by providing a tabular, up-to-date database that supplies not only the rate and its uncertainty but also its distribution. Because a majority of rates are lognormally distributed, this allows the construction of rate probability densities from the columns of STARLIB. This structure is based on a recently suggested Monte Carlo method to calculate reaction rates, where uncertainties are rigorously defined. In STARLIB, experimental rates are supplemented with: (1) theoretical TALYS rates for reactions for which no experimental input is available, and (2) laboratory and theoretical weak rates. STARLIB includes all types of reactions of astrophysical interest to Z = 83, such as (p, γ), (p, α), (α, n), and corresponding reverse rates. Strong rates account for thermal target excitations. Here, we summarize our Monte Carlo formalism, introduce the library, compare methods of correcting rates for stellar environments, and discuss how to implement our library in Monte Carlo nucleosynthesis studies. We also present a method for accessing STARLIB on the Internet and outline updated Monte Carlo-based rates.

KW - catalogs

KW - methods: numerical nuclear reactions, nucleosynthesis, abundances

KW - stars: abundances

KW - stars: general

KW - stars: interiors

KW - supernovae: general

KW - white dwarfs

UR - http://www.scopus.com/inward/record.url?scp=84879947925&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84879947925&partnerID=8YFLogxK

U2 - 10.1088/0067-0049/207/1/18

DO - 10.1088/0067-0049/207/1/18

M3 - Article

VL - 207

JO - Astrophysical Journal, Supplement Series

JF - Astrophysical Journal, Supplement Series

SN - 0067-0049

IS - 1

M1 - 18

ER -