Quantifying uncertainties in primordial nucleosynthesis without Monte Carlo simulations

被引：95

作者：

Fiorentini, G

Lisi, E

Sarkar, S

Villante, FL

机构：

[1] Dipartimento Fis, I-44100 Ferrara, Italy

[2] Ist Nazl Fis Nucl, I-44100 Ferrara, Italy

[3] Dipartimento Fis, I-70126 Bari, Italy

[4] Ist Nazl Fis Nucl, I-70126 Bari, Italy

[5] Univ Oxford, Oxford OX1 3NP, England

来源：

PHYSICAL REVIEW D | 1998年 / 58卷 / 06期

关键词：

D O I：

10.1103/PhysRevD.58.063506

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

We present a simple method for determining the (correlated) uncertainties of the light element abundances expected from big bang nucleosynthesis, which avoids the need for lengthy Monte Carlo simulations. Our approach helps to clarify the role of the different nuclear reactions contributing to a particular elemental abundance and makes it easy to implement energy-independent changes in the measured reaction rates, As an application, we demonstrate how this method simplifies the statistical estimation of the nucleon-to-photon ratio through comparison of the standard BBN predictions with the observationally inferred abundances. [S0556-2821(98)05018-8].

引用

页数：9

共 50 条

[21] Analysis of amplification without inversion by Monte-Carlo simulations
Rostovtsev, Y
COHERENT PHENOMENA AND AMPLIFICATION WITHOUT INVERSION - ICONO '95, 1996, 2798 : 221 - 230
[22] Monte Carlo simulations
Dapor, M
ELECTRON-BEAM INTERACTIONS WITH SOLIDS: APPLICATION OF THE MONTE CARLO METHOD TO ELECTRON SCATTERING PROBLEMS, 2003, 186 : 69 - 90
[23] Uncertainties in s-process nucleosynthesis in low-mass stars determined from Monte Carlo variations
Cescutti, G.
Hirschi, R.
Nishimura, N.
den Hartogh, J. W.
Rauscher, T.
Murphy, A. St. J.
Cristallo, S.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2018, 478 (03) : 4101 - 4127
[24] Asymmetric Uncertainties in Measurements: SOAD A Python']Python Package Based on Monte Carlo Simulations
Erdim, M. Kiyami
Hudaverdi, Murat
TURKISH PHYSICAL SOCIETY 35TH INTERNATIONAL PHYSICS CONGRESS (TPS35), 2019, 2178
[25] Monte Carlo simulations of globular cluster evolution.: III.: Primordial binary interactions
Fregeau, JM
Gürkan, MA
Joshi, KJ
Rasio, FA
ASTROPHYSICAL JOURNAL, 2003, 593 (02): : 772 - 787
[26] A STOCHASTIC APPROACH TO STUDYING BIOCHEMICAL REACTIONS WITHOUT MONTE CARLO SIMULATIONS
Mane, Vibha
Bugallo, Monica F.
Djuric, Petar M.
2009 IEEE/SP 15TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING, VOLS 1 AND 2, 2009, : 549 - 552
[27] Monte Carlo simulations of branched polymer surfaces without bending elasticity
Koibuchi, H
Nidaira, A
Morita, T
Suzuki, K
PHYSICAL REVIEW E, 2003, 68 (01):
[28] Recommendations for Monte Carlo nucleosynthesis sampling (Research Note)
Longland, R.
ASTRONOMY & ASTROPHYSICS, 2012, 548
[29] Quantifying the determinants of leakage multiplication for large uranium objects using Monte Carlo simulations
Tweardy, Matthew C.
McConchie, Seth
Hayward, Jason P.
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2020, 954 (954):
[30] Monte-Carlo simulations
Giersz, M
DYNAMICAL EVOLUTION OF STAR CLUSTERS - CONFRONTATION OF THEORY AND OBSERVATIONS, 1996, (174): : 101 - 110

← 1 2 3 4 5 →