Consultants Meeting on Neutron Data Standards
Agenda
The Agenda is available here.
Summary Report
The summary report is available as INDC(NDS)-0820.
Presentations
# | Author | Title | Link |
1 | A. Carlson | Recent Work on Neutron Standards | |
2 | Z. Chen | 6Li(n,t) R matrix fit of the CSNS Back n data with RAC code | |
3 | P. Finocchiaro | 235U(n,f) cross section from thermal to 170 keV | |
4 | G. Hale | Recent LANL Work on Reactions in the 7Li System | |
5 | M. Paris | EDA R-matrix evaluations of NN and 17O systems | |
6 | T.N. Massey | 11B Compound Nucleus Reactions:10B(n,Z) Reactions | |
7 | S. Simakov | Reference prompt discrete γ-ray production and high energy fission cross sections | |
8 | E. Pirovano | Measurement of 235U(n,f) relative to 1H(n,n) in the energy range from 30 to 150 MeV at n_TOF | |
9 | L. Snyder | FissionTPC Cross Section Ratio Results | |
10 | P. Mumm | 6Li(n,t) and 235U(n,f) sub-thermal measurements | |
11 | Y. Danon | RPI measurements related to standards | |
12 | J. Vanhoy | Carbon scattering cross section | |
13 | G. Noguere | Multigroup evaluation of the 235U(n,f), 238U(n,γ), 238U (n,f) and 239Pu(n,f) cross sections with the CONRAD code by using the GMA database: preliminary results | |
14 | R. Reifarth | Review of gold capture data | |
15 | J. Praena | 197Au(n,g) 30 keV Maxwellian | |
16 | I. Duran | On the thermal and integral standards for neutron induced fission on major actinides | |
17 | P. Schillebeeckx | 238U(n,γ) and 197Au(n,γ) cross sections | |
18 | A. Wallner | SACS in U5 PFNS of Al(n,2n), systematic difference in the AMS vs TOF capture data, U5 capture | |
19 | V. Pronyaev | Ad hoc approach for construction of USU covariances for GMA fit | |
20 | S. Badikov | Experimental Data with Prescribed Statistical Uncertainties | |
21 | D. Neudecker | Updating the 239Pu(n,f) covariances in GMA with templates of expected uncertainties | |
22 | G. Schnabel | Prototype of a new Bayesian evaluation system - development and validation | |
23 | D. Neudecker | Identifying physics reasons for outliers and systematic discrepancies in experimental 239Pu(n,f) cross-section data using machine learning |