Inference of cosmic-ray source properties by conditional invertible neural networks
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1434-6052
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Inference of cosmic-ray source properties by conditional invertible neural networks ; volume:82 ; number:2 ; day:24 ; month:2 ; year:2022 ; pages:1-10 ; date:2.2022
The European physical journal / C. C, Particles and fields ; 82, Heft 2 (24.2.2022), 1-10, 2.2022
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1140/epjc/s10052-022-10138-x
- URN
-
urn:nbn:de:101:1-2022061623563592319453
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Bister, Teresa
- Erdmann, Martin
- Köthe, Ullrich
- Schulte, Josina
- SpringerLink (Online service)
Ähnliche Objekte (12)
Inference of cosmic-ray source properties by conditional invertible neural networks
Towards extracting cosmic magnetic field structures from cosmic-ray arrival directions
Towards extracting cosmic magnetic field structures from cosmic-ray arrival directions
Inference of astrophysical parameters with a conditional invertible neural network
Autoencoder-extended Conditional Invertible Neural Networks for Unfolding Signal Traces
Search for signatures of cosmic-ray deflection induced by magnetic fields with the Pierre Auger Observatory
A method for inferring signal strength modifiers by conditional invertible neural networks
Heraldische Funeralpanegyrik des ukrainischen Barock : Am Beispiel des Stolp Cnot Syl'vestra Kossova
Identification of patterns in cosmic-ray arrival directions using dynamic graph convolutional neural networks
Sensitivity of a search for cosmic ray sources including magnetic field effects
Constraining models of the extragalactic cosmic ray origin with the Pierre Auger Observatory
A search for sources of extragalactic cosmic rays using structured magnetic fields and advanced propagation software with the Pierre Auger Observatory
Inference of cosmic-ray source properties by conditional invertible neural networks
Towards extracting cosmic magnetic field structures from cosmic-ray arrival directions
Towards extracting cosmic magnetic field structures from cosmic-ray arrival directions
Inference of astrophysical parameters with a conditional invertible neural network
Autoencoder-extended Conditional Invertible Neural Networks for Unfolding Signal Traces
Search for signatures of cosmic-ray deflection induced by magnetic fields with the Pierre Auger Observatory
A method for inferring signal strength modifiers by conditional invertible neural networks
Heraldische Funeralpanegyrik des ukrainischen Barock : Am Beispiel des Stolp Cnot Syl'vestra Kossova
Identification of patterns in cosmic-ray arrival directions using dynamic graph convolutional neural networks
Sensitivity of a search for cosmic ray sources including magnetic field effects
Constraining models of the extragalactic cosmic ray origin with the Pierre Auger Observatory
A search for sources of extragalactic cosmic rays using structured magnetic fields and advanced propagation software with the Pierre Auger Observatory
Inference of cosmic-ray source properties by conditional invertible neural networks
Towards extracting cosmic magnetic field structures from cosmic-ray arrival directions
Towards extracting cosmic magnetic field structures from cosmic-ray arrival directions
Inference of astrophysical parameters with a conditional invertible neural network
Autoencoder-extended Conditional Invertible Neural Networks for Unfolding Signal Traces
Search for signatures of cosmic-ray deflection induced by magnetic fields with the Pierre Auger Observatory
A method for inferring signal strength modifiers by conditional invertible neural networks
Heraldische Funeralpanegyrik des ukrainischen Barock : Am Beispiel des Stolp Cnot Syl'vestra Kossova
Identification of patterns in cosmic-ray arrival directions using dynamic graph convolutional neural networks
Sensitivity of a search for cosmic ray sources including magnetic field effects
Constraining models of the extragalactic cosmic ray origin with the Pierre Auger Observatory