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Sökning: WFRF:(Hendriks Luc) > (2023) > Mind the gap: the d...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004249naa a2200397 4500
001oai:DiVA.org:kth-331401
003SwePub
008230707s2023 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3314012 URI
024a https://doi.org/10.1088/1475-7516/2023/06/0132 DOI
040 a (SwePub)kth
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Caron, Saschau Theoretical High Energy Physics, Radboud University Nijmegen, Heyendaalseweg 135, 6525 AJ Nijmegen, the Netherlands; Nikhef, Science Park 105, 1098 XG Amsterdam, the Netherlands4 aut
2451 0a Mind the gap: the discrepancy between simulation and reality drives interpretations of the Galactic Center Excess
264 1b IOP Publishing,c 2023
338 a print2 rdacarrier
500 a QC 20230707
520 a The Galactic Center Excess (GCE) in GeV gamma rays has been debated for over a decade, with the possibility that it might be due to dark matter annihilation or undetected point sources such as millisecond pulsars (MSPs). This study investigates how the gamma-ray emission model (γEM) used in Galactic center analyses affects the interpretation of the GCE's nature. To address this issue, we construct an ultra-fast and powerful inference pipeline based on convolutional Deep Ensemble Networks. We explore the two main competing hypotheses for the GCE using a set of γEMs with increasing parametric freedom. We calculate the fractional contribution (f src) of a dim population of MSPs to the total luminosity of the GCE and analyze its dependence on the complexity of the γEM. For the simplest γEM, we obtain f src = 0.10 ± 0.07, while the most complex model yields f src = 0.79 ± 0.24. In conclusion, we find that the statement about the nature of the GCE (dark matter or not) strongly depends on the assumed γEM. The quoted results for f src do not account for the additional uncertainty arising from the fact that the observed gamma-ray sky is out-of-distribution concerning the investigated γEM iterations. We quantify the reality gap between our γEMs using deep-learning-based One-Class Deep Support Vector Data Description networks, revealing that all employed γEMs have gaps to reality. Our study casts doubt on the validity of previous conclusions regarding the GCE and dark matter, and underscores the urgent need to account for the reality gap and consider previously overlooked “out of domain” uncertainties in future interpretations.
650 7a NATURVETENSKAPx Fysikx Astronomi, astrofysik och kosmologi0 (SwePub)103052 hsv//swe
650 7a NATURAL SCIENCESx Physical Sciencesx Astronomy, Astrophysics and Cosmology0 (SwePub)103052 hsv//eng
653 a dark matter simulations
653 a gamma ray experiments
653 a Machine learning
653 a millisecond pulsars
700a Eckner, Christopheru LAPP, CNRS, USMB, F-74940 Annecy, France4 aut
700a Hendriks, Lucu Theoretical High Energy Physics, Radboud University Nijmegen, Heyendaalseweg 135, 6525 AJ Nijmegen, the Netherlands; Nikhef, Science Park 105, 1098 XG Amsterdam, the Netherlands4 aut
700a Jóhannesson, Gudlauguru KTH,Nordic Institute for Theoretical Physics NORDITA,NORDITA SU; Science Institute, University of Iceland, IS-107 Reykjavik, Iceland; Nordita, Stockholm University, Roslagstullsbacken 23, SE-106 91 Stockholm, Sweden4 aut0 (Swepub:kth)u1dxoc6e
700a Ruiz de Austri, Robertou Instituto de Física Corpuscular, IFIC-UV/CSIC, Valencia, Spain4 aut
700a Zaharijas, Gabrijelau Center for Astrophysics and Cosmology, University of Nova Gorica, Vipavska 13, SI-5000 Nova Gorica, Slovenia4 aut
710a Theoretical High Energy Physics, Radboud University Nijmegen, Heyendaalseweg 135, 6525 AJ Nijmegen, the Netherlands; Nikhef, Science Park 105, 1098 XG Amsterdam, the Netherlandsb LAPP, CNRS, USMB, F-74940 Annecy, France4 org
773t Journal of Cosmology and Astroparticle Physicsd : IOP Publishingg 2023:6q 2023:6x 1475-7516
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-331401
8564 8u https://doi.org/10.1088/1475-7516/2023/06/013

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