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| Home > Publications database > Evidence for $γ$-ray emission from the remnant of Kepler’s supernova based on deep H.E.S.S. observations (Corrigendum) > print |
| 001 | 629383 | ||
| 005 | 20250625123429.0 | ||
| 024 | 7 | _ | |a 10.1051/0004-6361/202348902e |2 doi |
| 024 | 7 | _ | |a 0004-6361 |2 ISSN |
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| 024 | 7 | _ | |a arXiv:2201.05839 |2 arXiv |
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| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 520 |
| 088 | _ | _ | |a arXiv:2201.05839 |2 arXiv |
| 088 | _ | _ | |a arXiv:2201.05839 |2 arXiv |
| 088 | _ | _ | |a arXiv:2201.05839 |2 arXiv |
| 100 | 1 | _ | |a Aharonian, F. |b 0 |
| 245 | _ | _ | |a Evidence for $γ$-ray emission from the remnant of Kepler’s supernova based on deep H.E.S.S. observations (Corrigendum) |
| 260 | _ | _ | |a Les Ulis |c 2024 |b EDP Sciences |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1749548441_2075256 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a In the version of this article initially published, there was a typographical error in the second paragraph of Sect. 4. The normalization constant should be read N$_0$ = (9.5 ± 2.3$_{stat}$± 2.9$_{sys}$ × 10$^{−14}$ cm$^{−2}$ s$^{−1}$ TeV$^{−1}$. The normalization was correctly stated elsewhere.Also, the author’s name D. Malyshev (affiliated with Institute 23) was inadvertently missing from the author list of the published version. It is added here. |
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| 700 | 1 | _ | |a Malyshev, D. |b 73 |
| 700 | 1 | _ | |a Malyshev, D. |b 74 |
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| 773 | _ | _ | |a 10.1051/0004-6361/202348902e |g Vol. 683, p. C1 - |0 PERI:(DE-600)1458466-9 |p C1 |t Astronomy and astrophysics |v 683 |y 2024 |x 0004-6361 |
| 787 | 0 | _ | |a Aharonian, F. et.al. |d Les Ulis : EDP Sciences, 2022 |i HasPart |0 PUBDB-2022-04260 |r arXiv:2201.05839 |t Evidence for $\gamma$-ray emission from the remnant of Kepler’s supernova based on deep H.E.S.S. observations |
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