English
Related papers

Related papers: EXFOR-NSR PDF database: a system for nuclear knowl…

200 papers

The EXchange FORmat (EXFOR) experimental nuclear reaction database and the associated Web interface provide access to the wealth of low- and intermediate-energy nuclear reaction physics data. This resource is based on numerical data sets…

Computational Physics · Physics 2018-02-19 V. V. Zerkin , B. Pritychenko

The International Network of Nuclear Reaction Data Centres (NRDC) coordinated by the IAEA Nuclear Data Section (NDS) is successfully collaborating in the maintenance and development of the EXFOR library. As the scope of published data…

The EXFOR library is a useful resource for many people in the field of nuclear physics. In particular, the experimental data in the EXFOR library serves as a starting point for nuclear data evaluations. There is an ongoing discussion about…

Digital Libraries · Computer Science 2021-03-30 Georg Schnabel

The Nuclear Science References (NSR) database together with its associated Web interface, is the world's only comprehensive source of easily accessible low- and intermediate-energy nuclear physics bibliographic information for more than…

Nuclear Experiment · Physics 2014-07-09 B. Pritychenko , E. Běták , B. Singh , J. Totans

Nuclear reaction data play an important role in nuclear reactor, medical, and fundamental science and national security applications. The wealth of information is stored in internally adopted ENDF-6 and EXFOR formats. We present a complete…

Solar and Stellar Astrophysics · Physics 2011-08-25 B. Pritychenko

The Nuclear Science References (NSR) database together with its associated Web interface, is the world's only comprehensive source of easily accessible low- and intermediate-energy nuclear physics bibliographic information for more than…

Data Analysis, Statistics and Probability · Physics 2015-03-18 B. Pritychenko , E. Betak , M. A. Kellett , B. Singh , J. Totans

The increase in authorship of nuclear physics publications has been investigated using the large statistical samples. This has been accomplished with nuclear data mining of nuclear science references (NSR) and experimental nuclear reaction…

Digital Libraries · Computer Science 2015-11-17 B. Pritychenko

The EXFOR database contains the largest collection of experimental nuclear reaction data available as well as the data's bibliographic information and experimental details. We created an undirected graph from the EXFOR datasets with graph…

Nuclear Theory · Physics 2013-12-24 John A. Hirdt , David A. Brown

Nuclear physics has been playing an important role in modern astrophysics and cosmology. Since the early 1950's it has been successfully applied for the interpretation and prediction of astrophysical phenomena. Nuclear physics models helped…

Instrumentation and Methods for Astrophysics · Physics 2016-08-03 Boris Pritychenko

In this talk, we discuss the compatibility of different deeply inelastic neutrino-nucleus data sets and the universal nuclear PDFs. This is an issue that has lately been investigated by different groups but the conclusions have been…

High Energy Physics - Phenomenology · Physics 2013-06-12 Hannu Paukkunen , Carlos A. Salgado

Negative muon-induced nuclear reactions play a critical role in a wide range of scientific and technological applications; however, comprehensive nuclear data for these processes remain unavailable. To address this gap, we have launched the…

We present Sigma Web interface which provides user-friendly access for online analysis and plotting of the evaluated and experimental nuclear reaction data stored in the ENDF-6 and EXFOR formats. The interface includes advanced browsing and…

Data Analysis, Statistics and Probability · Physics 2015-03-17 B. Pritychenko , A. A. Sonzogni

Several nuclear physics issues essential to understanding the r-process are discussed. These include validity of the waiting-point approximation, strength of closed neutron shells in neutron-rich nuclei far from stability, and effects of…

Nuclear Theory · Physics 2009-11-10 Y. -Z. Qian

We propose to develop a high-energy heavy-ion experimental database and make it accessible to the scientific community through an on-line interace. This database will be searchable and cross-indexed with relevant publications, including…

Nuclear Theory · Physics 2009-11-11 David A. Brown , Ramona Vogt

Beta-delayed neutron emission is important for nuclear structure and astrophysics as well as for reactor applications. Significant advances in nuclear experimental techniques in the past two decades have led to a wealth of new measurements…

We present a review of the conceptual basis, present knowledge and recent progress in the field of global analysis of nuclear parton distribution functions (PDFs). After introducing the theoretical foundations and methodological approaches…

High Energy Physics - Phenomenology · Physics 2024-01-26 M. Klasen , H. Paukkunen

We propose to develop a high-energy heavy-ion experimental database and make it accessible to the scientific community through an on-line interface. This database will be searchable and cross-indexed with relevant publications, including…

Nuclear Theory · Physics 2014-11-18 David A. Brown Ramona Vogt

A lot of research work has been carried out in fine tuning model parameters to reproduce experimental data for neutron induced reactions. This however is not the case for proton induced reactions where large deviations still exist between…

Nuclear Theory · Physics 2019-12-30 E. Alhassan , D. Rochman , A. Vasiliev , R. M. Bergmann , M. Wohlmuther , A. J. Koning , H. Ferroukhi

The recent global analyses of the nuclear parton distribution functions (nPDFs) lend support to the validity of the factorization theorem of QCD in high-energy processes involving bound nucleons. With a special attention on our latest…

High Energy Physics - Phenomenology · Physics 2011-04-22 Hannu Paukkunen , Carlos A. Salgado , Kari J. Eskola

Scientific knowledge is predominantly stored in books and scientific journals, often in the form of PDFs. However, the PDF format leads to a loss of semantic information, particularly for mathematical expressions. We propose Nougat (Neural…

Machine Learning · Computer Science 2023-08-28 Lukas Blecher , Guillem Cucurull , Thomas Scialom , Robert Stojnic
‹ Prev 1 2 3 10 Next ›