125 citations · 999 across the 30 of their papers we have counts for
30 papers
Energy-dependent slow collective flavor conversion of supernova neutrinos
Heng-Hao Chen, Ian Padilla-Gay, Meng-Ru Wu +2
We study collective slow flavor conversion (SFC) of supernova neutrinos with multi-energy, multi-angle simulations for three representative neutrino spectra in the early accretion,…
Machine Learning Detection of Non-Axisymmetric Fast Flavor Instabilities in Compact Objects
Madhurima Chakraborty, Sajad Abbar, Meng-Ru Wu +2
Neutrinos in dense astrophysical environments such as core-collapse supernovae (CCSNe) and neutron star mergers (NSMs) can undergo FFCs, which could develop on extremely small scal…
Flavor Equilibration of Supernova Neutrinos: Exploring the Dynamics of Slow Modes
Ian Padilla-Gay, Heng-Hao Chen, Sajad Abbar +2
Neutrinos experience collective flavor conversion in extreme astrophysical environments such as core-collapse supernovae (CCSNe). One manifestation of collective conversion is slow…
Gravitational-Wave Signatures of Nonstandard Neutrino Properties in Collapsing Stellar Cores
Jakob Ehring, Sajad Abbar, H. -Thomas Janka +3
We present a novel multi-messenger approach for probing nonstandard neutrino properties through the detection of gravitational waves (GWs) from collapsing stellar cores and associa…
Application of Neural Networks for the Reconstruction of Supernova Neutrino Energy Spectra Following Fast Neutrino Flavor Conversions
Sajad Abbar, Meng-Ru Wu, Zewei Xiong
Neutrinos can undergo fast flavor conversions (FFCs) within extremely dense astrophysical environments such as core-collapse supernovae (CCSNe) and neutron star mergers (NSMs). In…
Using Bayesian Inference to Distinguish Neutrino Flavor Conversion Scenarios via a Prospective Supernova Neutrino Signal
Sajad Abbar, Maria Cristina Volpe
The upcoming galactic core-collapse supernova is expected to produce a considerable number of neutrino events within terrestrial detectors. By using Bayesian inference techniques,…
Machine Learning-Based Detection of Non-Axisymmetric Fast Neutrino Flavor Instabilities in Core-Collapse Supernovae
Sajad Abbar, Akira Harada, Hiroki Nagakura
In dense neutrino environments like core-collapse supernovae (CCSNe) and neutron star mergers (NSMs), neutrinos can undergo fast flavor conversions (FFC) when their angular distrib…
Physics-Informed Neural Networks for Predicting the Asymptotic Outcome of Fast Neutrino Flavor Conversions
Sajad Abbar, Meng-Ru Wu, Zewei Xiong
In the most extreme astrophysical environments, such as core-collapse supernovae (CCSNe) and neutron star mergers (NSMs), neutrinos can undergo fast flavor conversions (FFCs) on ex…
Detecting Fast Neutrino Flavor Conversions with Machine Learning
Sajad Abbar, Hiroki Nagakura
Neutrinos in dense environments like core-collapse supernovae (CCSNe) and neutron star mergers (NSMs) can undergo fast flavor conversions (FFCs) once the angular distribution of ne…
Evaluating approximate asymptotic distributions for fast neutrino flavor conversions in a periodic 1D box
Zewei Xiong, Meng-Ru Wu, Sajad Abbar +3
The fast flavor conversions (FFCs) of neutrinos generally exist in core-collapse supernovae and binary neutron-star merger remnants, and can significantly change the flavor composi…
Fast Neutrino Flavor Conversions can Help and Hinder Neutrino-Driven Explosions
Jakob Ehring, Sajad Abbar, Hans-Thomas Janka +2
We present the first simulations of core-collapse supernovae in axial symmetry with feedback from fast neutrino flavor conversion (FFC). Our schematic treatment of FFCs assumes ins…
Applications of Machine Learning to Detecting Fast Neutrino Flavor Instabilities in Core-Collapse Supernova and Neutron Star Merger Models
Sajad Abbar
Neutrinos propagating in a dense neutrino gas, such as those expected in core-collapse supernovae (CCSNe) and neutron star mergers (NSMs), can experience fast flavor conversions on…
Fast Neutrino Flavor Conversion in Core-Collapse Supernovae: A Parametric Study in 1D Models
Jakob Ehring, Sajad Abbar, Hans-Thomas Janka +2
We explore the impact of small-scale flavor conversions of neutrinos, the so-called fast flavor conversions (FFCs), on the dynamical evolution and neutrino emission of core-collaps…
Non-Standard Neutrino Self-Interactions Can Cause Neutrino Flavor Equipartition Inside the Supernova Core
Sajad Abbar
We show that non-standard neutrino self-interactions can lead to total flavor equipartition in a dense neutrino gas, such as those expected in core-collapse supernovae. In this fir…
Oscillations of High-Energy Cosmic Neutrinos in the Copious MeV Neutrino Background
Sajad Abbar, Jose Alonso Carpio, Kohta Murase
The core-collapse of massive stars and merger of neutron star binaries are among the most promising candidate sites for the production of high-energy cosmic neutrinos. We demonstra…
Fast Neutrino Conversion in Hydrodynamic Simulations of Neutrino-Cooled Accretion Disks
Oliver Just, Sajad Abbar, Meng-Ru Wu +3
The outflows from neutrino-cooled black-hole (BH) accretion disks formed in neutron-star mergers or cores of collapsing stars are expected to be neutron-rich enough to explain a la…
Suppression of Fast Neutrino Flavor Conversions Occurring at Large Distances in Core-Collapse Supernovae
Sajad Abbar, Francesco Capozzi
Neutrinos propagating in dense neutrino media such as core-collapse supernovae and neutron star merger remnants can experience the so-called fast flavor conversions on scales much…
Fast neutrino flavor conversions in one-dimensional core-collapse supernova models with and without muon creation
Francesco Capozzi, Sajad Abbar, Robert Bollig +1
In very dense environments, neutrinos can undergo fast flavor conversions on scales as short as a few centimeters provided that the angular distribution of the neutrino lepton numb…
On the characteristics of fast neutrino flavor instabilities in three-dimensional core-collapse supernova models
Sajad Abbar, Francesco Capozzi, Robert Glas +2
We assess the occurrence of fast neutrino flavor instabilities in two three-dimensional state-of-the-art core-collapse supernova simulations performed using a two-moment three-spec…
Turbulence Fingerprint on Collective Oscillations of Supernova Neutrinos
Sajad Abbar
We bring to light a novel mechanism through which turbulent matter density fluctuations can induce collective neutrino flavor conversions in core-collapse supernovae, i.e., the lea…
Collective Oscillations of Majorana Neutrinos in Strong Magnetic Fields and Self-induced Flavor Equilibrium
Sajad Abbar
We study collective oscillations of Majorana neutrinos in some of the most extreme astrophysical sites such as neutron star merger remnants and magneto-rotational core-collapse sup…
Fast Neutrino Flavor Conversion Modes in Multidimensional Core-collapse Supernova Models: the Role of the Asymmetric Neutrino Distributions
Sajad Abbar, Huaiyu Duan, Kohsuke Sumiyoshi +2
A dense neutrino gas, such as the one anticipated in the supernova environment, can experience fast neutrino flavor conversions on scales much shorter than those expected in vacuum…
Nonlinear flavor development of a two-dimensional neutrino gas
Joshua D. Martin, Sajad Abbar, Huaiyu Duan
We present a numerical survey of the nonlinear flavor development of dense neutrino gases. This study is based on the stationary, two-dimensional ( and ), two-beam, monochrom…
On the occurrence of fast neutrino flavor conversions in multidimensional supernova models
Sajad Abbar, Huaiyu Duan, Kohsuke Sumiyoshi +2
The dense neutrino medium in a core-collapse supernova or a neutron-star merger event can experience fast flavor conversions on time/distance scales that are much smaller than thos…