Constraining Chaplygin models using diffuse supernova neutrino background

Yang, Nan; Jia, J.; Liu, Xionghui; Zhang, Hongbao

doi:10.1016/j.dark.2019.100397

Cited by 4 publications

(1 citation statement)

References 63 publications

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“…For recent studies of the impact of different cosmological models on the DSNB, the reader is referred to Barranco et al (2018) or Yang et al (2019). Having described our computational model with all of its required inputs, we now proceed to the discussion of our results.…”

Section: Cosmological Modelmentioning

confidence: 99%

Stellar Collapse Diversity and the Diffuse Supernova Neutrino Background

Kresse,

Ertl,

Janka

2020

Preprint

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The diffuse cosmic supernova neutrino background (DSNB) is observational target of the gadoliniumloaded Super-Kamiokande (SK) detector and the forthcoming JUNO and Hyper-Kamiokande detectors. Current predictions are hampered by our still incomplete understanding of the supernova (SN) explosion mechanism and of the neutron star (NS) equation of state and maximum mass. In our comprehensive study we revisit this problem on grounds of the landscapes of successful and failed SN explosions obtained by Sukhbold et al. and Ertl et al. with parametrized one-dimensional neutrino engines for large sets of single-star and helium-star progenitors, with the latter serving as proxy of binary evolution effects. Besides considering engines of different strengths, leading to different fractions of failed SNe with black-hole (BH) formation, we also vary the NS mass limit, the spectral shape of the neutrino emission, and include contributions from poorly understood alternative NS-formation channels such as accretion-induced or merger-induced collapse events. Since the neutrino signals of our large model sets are approximate, we calibrate the associated degrees of freedom by using state-of-the-art simulations of proto-neutron star cooling. Our predictions are higher than other recent ones because of a large fraction of failed SNe with long delay to BH formation. Our best-guess model predicts a DSNB νe -flux of 28.8 +24.6 −10.9 cm −2 s −1 with 6.0 +5.1 −2.1 cm −2 s −1 in the favorable measurement interval of [10,30] MeV, and 1.3 +1.1 −0.4 cm −2 s −1 with νe energies > 17.3 MeV, which is roughly a factor of two below the current SK limit. The uncertainty range is dominated by the still insufficiently constrained cosmic rate of stellar core-collapse events.

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Section: Cosmological Modelmentioning

confidence: 99%

Stellar Collapse Diversity and the Diffuse Supernova Neutrino Background

Kresse,

Ertl,

Janka

2020

Preprint

View full text Add to dashboard Cite

show abstract

Fundamental physics with the diffuse supernova background neutrinos

et al. 2020

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Stellar Collapse Diversity and the Diffuse Supernova Neutrino Background

Kresse

Ertl

Janka

2021

ApJ

View full text Add to dashboard Cite

The diffuse cosmic supernova neutrino background (DSNB) is an observational target of the gadolinium-loaded Super-Kamiokande (SK) detector and the forthcoming JUNO and Hyper-Kamiokande detectors. Current predictions are hampered by our still incomplete understanding of the supernova (SN) explosion mechanism and of the neutron star (NS) equation of state and maximum mass. In our comprehensive study we revisit this problem on grounds of the landscapes of successful and failed SN explosions obtained by Sukhbold et al. and Ertl et al. with parameterized one-dimensional neutrino engines for large sets of single-star and helium-star progenitors, with the latter serving as a proxy for binary evolution effects. Besides considering engines of different strengths, leading to different fractions of failed SNe with black hole (BH) formation, we also vary the NS mass limit and the spectral shape of the neutrino emission and include contributions from poorly understood alternative NS formation channels, such as accretion-induced and merger-induced collapse events. Since the neutrino signals of our large model sets are approximate, we calibrate the associated degrees of freedom by using state-of-the-art simulations of proto-NS cooling. Our predictions are higher than other recent ones because of a large fraction of failed SNe with long delay to BH formation. Our best-guess model predicts a DSNB -flux of cm−2 s−1 with cm−2 s−1 in the favorable measurement interval of [10, 30] MeV and cm−2 s−1 with energies > 17.3 MeV, which is roughly a factor of two below the current SK limit. The uncertainty range is dominated by the still insufficiently constrained cosmic rate of stellar core-collapse events.

show abstract

Constraining Chaplygin models using diffuse supernova neutrino background

Cited by 4 publications

References 63 publications

Stellar Collapse Diversity and the Diffuse Supernova Neutrino Background

Stellar Collapse Diversity and the Diffuse Supernova Neutrino Background

Fundamental physics with the diffuse supernova background neutrinos

Stellar Collapse Diversity and the Diffuse Supernova Neutrino Background

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