Exploring phase space with Neural Importance Sampling
Enrico Bothmann, Timo Janßen, Max Knobbe, Tobias Schmale, S. Schumann
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.21468/scipostphys.8.4.069 ↗
- Volume · Issue · Pages
- 8 · 4 · —
- Publisher
- SciPost Foundation
- Article URL
- https://doi.org/10.21468/scipostphys.8.4.069 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
29 Apr 2020
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 29 Apr 2020 | OpenAlex |
Keywords (as given): phase space integration; scattering cross section; artificial neural networks; top quark pair production; gluon scattering; Monte Carlo event generation
HEC Status at Publication Not the journal's current status
HEC Status at PublicationNot conclusive
Historical status could not be conclusively determined.
- HEC status cannot be determined for this date: no HEC list is recorded as in effect on it.
Best available information, not a definitive status: HEC status cannot be determined for this date: no HEC list is recorded as in effect on it.
- Journal
- SciPost Physics
- Publication date used
- 29 Apr 2020 (OpenAlex publication date)
- Applicable HEC period
- None recorded for this date
- Category
- —
- Recognition status
- Unknown (NO_PERIOD_FOR_DATE)
- Source
- —
- Verification status
- Not available
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.