Quantifying the impact of relativistic precession on tidal disruption event light curves

This study utilizes two-dimensional radiation-hydrodynamic simulations to demonstrate that relativistic precession of tidal disruption event streams significantly delays light curve peaks by up to 100 days in systems involving massive black holes (107 M\gtrsim10^7~\text{M}_{\odot}) viewed at high inclination, while having minimal impact on lower-mass or face-on configurations.

Diego Calderón, Ondřej Pejcha, Brian D. Metzger, Paul C. Duffell, Stephan RosswogThu, 12 Ma🔭 astro-ph

The baryon content of magnetically arrested black hole disks and jets

Using general relativistic magnetohydrodynamic simulations with a passive tracer to isolate physical baryon density, this study reveals that baryon loading in magnetically arrested black hole jets is an episodic process driven by magnetic flux eruptions and shear-driven waves, leading to charge-starved, baryon-poor plasma in spinning systems with implications for particle acceleration and non-thermal emission.

Anthony Chow, Lorenzo Sironi, Bart Ripperda, Amir LevinsonThu, 12 Ma🔭 astro-ph

Novae breves from magnetar giant flares: Potential probes of neutron star crusts

This paper investigates how the neutron star equation of state and magnetar mass influence the ejecta properties and light curves of "novae breves"—short-lived optical transients from magnetar giant flares—demonstrating that these features are detectable with current and future facilities, thereby offering a promising method to probe neutron star crusts.

Jiahang Zhong, Qiu-Hong Chen, Yacheng Kang, Hong-Bo Li, Jinghao Zhang, Meng-Hua Chen, Lijing ShaoThu, 12 Ma⚛️ nucl-th

On the angular localization of gravitational-wave signals by pulsar timing arrays

This paper provides a comprehensive analytical study of gravitational-wave signal localization by pulsar timing arrays, deriving expressions for sky localization precision that reveal how the interplay between pulsar-source angular proximity and distance measurement accuracy determines whether improvements stem from tighter distance constraints or the strategic addition of nearby pulsars.

Stephen R. TaylorThu, 12 Ma🔭 astro-ph

XMM-Newton Observations of Flares and a Possible Pulse Dropout in the Supergiant X-ray binary 4U 1909+07

This paper reports on XMM-Newton observations of the supergiant X-ray binary 4U 1909+07, revealing a continued long-term spin-up trend and a unique pulse dropout event accompanied by spectral softening, which is interpreted as evidence of the propeller effect caused by a low-density wind cavity.

Joel B. Coley, Ralf Ballhausen, McKinley Brumback, Robin H. D. Corbet, Camille M. Diez, Felix Fuerst, Nazma Islam, Gaurava K. Jaisawal, Peter Kretschmar, Christian Malacaria, Katja Pottschmidt, Pragati PradhanThu, 12 Ma🔭 astro-ph

Rotating neutron stars within the macroscopic effective-surface approximation

This paper extends the macroscopic effective-surface model of neutron stars to rotating systems by deriving analytical expressions for angular momentum and adiabatic moments of inertia within General Relativity, revealing that strong gravity and surface correlations significantly constrain the accessible neutron star radii.

A. G. Magner, S. P. Maydanyuk, A. Bonasera, H. Zheng, S. N. Fedotkin, A. I. Levon, T. Depastas, U. V. Grygoriev, A. A. UleievMon, 09 Ma🔭 astro-ph

Evidence of cosmic-ray acceleration up to sub-PeV energies in the supernova remnant IC 443

Observations of the supernova remnant IC 443 by the Large High Altitude Air Shower Observatory (LHAASO) reveal high-energy gamma-ray emission extending beyond 30 TeV without a cutoff, providing compelling evidence that supernova remnant shocks can efficiently accelerate cosmic rays to sub-PeV energies.

Zhen Cao (The LHAASO Collaboration), F. Aharonian (The LHAASO Collaboration), Y. X. Bai (The LHAASO Collaboration), Y. W. Bao (The LHAASO Collaboration), D. Bastieri (The LHAASO Collaboration), X. J. Bi (The LHAASO Collaboration), Y. J. Bi (The LHAASO Collaboration), W. Bian (The LHAASO Collaboration), A. V. Bukevich (The LHAASO Collaboration), C. M. Cai (The LHAASO Collaboration), W. Y. Cao (The LHAASO Collaboration), Zhe Cao (The LHAASO Collaboration), J. Chang (The LHAASO Collaboration), J. F. Chang (The LHAASO Collaboration), A. M. Chen (The LHAASO Collaboration), E. S. Chen (The LHAASO Collaboration), G. H. Chen (The LHAASO Collaboration), H. X. Chen (The LHAASO Collaboration), Liang Chen (The LHAASO Collaboration), Long Chen (The LHAASO Collaboration), M. J. Chen (The LHAASO Collaboration), M. L. Chen (The LHAASO Collaboration), Q. H. Chen (The LHAASO Collaboration), S. Chen (The LHAASO Collaboration), S. H. Chen (The LHAASO Collaboration), S. Z. Chen (The LHAASO Collaboration), T. L. Chen (The LHAASO Collaboration), X. B. Chen (The LHAASO Collaboration), X. J. Chen (The LHAASO Collaboration), Y. Chen (The LHAASO Collaboration), N. Cheng (The LHAASO Collaboration), Y. D. Cheng (The LHAASO Collaboration), M. C. Chu (The LHAASO Collaboration), M. Y. Cui (The LHAASO Collaboration), S. W. Cui (The LHAASO Collaboration), X. H. Cui (The LHAASO Collaboration), Y. D. Cui (The LHAASO Collaboration), B. Z. Dai (The LHAASO Collaboration), H. L. Dai (The LHAASO Collaboration), Z. G. Dai (The LHAASO Collaboration), Danzengluobu (The LHAASO Collaboration), Y. X. Diao (The LHAASO Collaboration), X. Q. Dong (The LHAASO Collaboration), K. K. Duan (The LHAASO Collaboration), J. H. Fan (The LHAASO Collaboration), Y. Z. Fan (The LHAASO Collaboration), J. Fang (The LHAASO Collaboration), J. H. Fang (The LHAASO Collaboration), K. Fang (The LHAASO Collaboration), C. F. Feng (The LHAASO Collaboration), H. Feng (The LHAASO Collaboration), L. Feng (The LHAASO Collaboration), S. H. Feng (The LHAASO Collaboration), X. T. Feng (The LHAASO Collaboration), Y. Feng (The LHAASO Collaboration), Y. L. Feng (The LHAASO Collaboration), S. Gabici (The LHAASO Collaboration), B. Gao (The LHAASO Collaboration), C. D. Gao (The LHAASO Collaboration), Q. Gao (The LHAASO Collaboration), W. Gao (The LHAASO Collaboration), W. K. Gao (The LHAASO Collaboration), M. M. Ge (The LHAASO Collaboration), T. T. Ge (The LHAASO Collaboration), L. S. Geng (The LHAASO Collaboration), G. Giacinti (The LHAASO Collaboration), G. H. Gong (The LHAASO Collaboration), Q. B. Gou (The LHAASO Collaboration), M. H. Gu (The LHAASO Collaboration), F. L. Guo (The LHAASO Collaboration), J. Guo (The LHAASO Collaboration), X. L. Guo (The LHAASO Collaboration), Y. Q. Guo (The LHAASO Collaboration), Y. Y. Guo (The LHAASO Collaboration), Y. A. Han (The LHAASO Collaboration), O. A. Hannuksela (The LHAASO Collaboration), M. Hasan (The LHAASO Collaboration), H. H. He (The LHAASO Collaboration), H. N. He (The LHAASO Collaboration), J. Y. He (The LHAASO Collaboration), X. Y. He (The LHAASO Collaboration), Y. He (The LHAASO Collaboration), S. Hernández-Cadena (The LHAASO Collaboration), B. W. Hou (The LHAASO Collaboration), C. Hou (The LHAASO Collaboration), X. Hou (The LHAASO Collaboration), H. B. Hu (The LHAASO Collaboration), S. C. Hu (The LHAASO Collaboration), C. Huang (The LHAASO Collaboration), D. H. Huang (The LHAASO Collaboration), J. J. Huang (The LHAASO Collaboration), T. Q. Huang (The LHAASO Collaboration), W. J. Huang (The LHAASO Collaboration), X. T. Huang (The LHAASO Collaboration), X. Y. Huang (The LHAASO Collaboration), Y. Huang (The LHAASO Collaboration), Y. Y. Huang (The LHAASO Collaboration), X. L. Ji (The LHAASO Collaboration), H. Y. Jia (The LHAASO Collaboration), K. Jia (The LHAASO Collaboration), H. B. Jiang (The LHAASO Collaboration), K. Jiang (The LHAASO Collaboration), X. W. Jiang (The LHAASO Collaboration), Z. J. Jiang (The LHAASO Collaboration), M. Jin (The LHAASO Collaboration), S. Kaci (The LHAASO Collaboration), M. M. Kang (The LHAASO Collaboration), I. Karpikov (The LHAASO Collaboration), D. Khangulyan (The LHAASO Collaboration), D. Kuleshov (The LHAASO Collaboration), K. Kurinov (The LHAASO Collaboration), B. B. Li (The LHAASO Collaboration), Cheng Li (The LHAASO Collaboration), Cong Li (The LHAASO Collaboration), D. Li (The LHAASO Collaboration), F. Li (The LHAASO Collaboration), H. B. Li (The LHAASO Collaboration), H. C. Li (The LHAASO Collaboration), Jian Li (The LHAASO Collaboration), Jie Li (The LHAASO Collaboration), K. Li (The LHAASO Collaboration), L. Li (The LHAASO Collaboration), R. L. Li (The LHAASO Collaboration), S. D. Li (The LHAASO Collaboration), T. Y. Li (The LHAASO Collaboration), W. L. Li (The LHAASO Collaboration), X. R. Li (The LHAASO Collaboration), Xin Li (The LHAASO Collaboration), Y. Li (The LHAASO Collaboration), Y. Z. Li (The LHAASO Collaboration), Zhe Li (The LHAASO Collaboration), Zhuo Li (The LHAASO Collaboration), E. W. Liang (The LHAASO Collaboration), Y. F. Liang (The LHAASO Collaboration), S. J. Lin (The LHAASO Collaboration), B. Liu (The LHAASO Collaboration), C. Liu (The LHAASO Collaboration), D. Liu (The LHAASO Collaboration), D. B. Liu (The LHAASO Collaboration), H. Liu (The LHAASO Collaboration), H. D. Liu (The LHAASO Collaboration), J. Liu (The LHAASO Collaboration), J. L. Liu (The LHAASO Collaboration), J. R. Liu (The LHAASO Collaboration), M. Y. Liu (The LHAASO Collaboration), R. Y. Liu (The LHAASO Collaboration), S. M. Liu (The LHAASO Collaboration), W. Liu (The LHAASO Collaboration), X. Liu (The LHAASO Collaboration), Y. Liu (The LHAASO Collaboration), Y. Liu (The LHAASO Collaboration), Y. N. Liu (The LHAASO Collaboration), Y. Q. Lou (The LHAASO Collaboration), Q. Luo (The LHAASO Collaboration), Y. Luo (The LHAASO Collaboration), H. K. Lv (The LHAASO Collaboration), B. Q. Ma (The LHAASO Collaboration), L. L. Ma (The LHAASO Collaboration), X. H. Ma (The LHAASO Collaboration), J. R. Mao (The LHAASO Collaboration), Z. Min (The LHAASO Collaboration), W. Mitthumsiri (The LHAASO Collaboration), G. B. Mou (The LHAASO Collaboration), H. J. Mu (The LHAASO Collaboration), A. Neronov (The LHAASO Collaboration), K. C. Y. Ng (The LHAASO Collaboration), M. Y. Ni (The LHAASO Collaboration), L. Nie (The LHAASO Collaboration), L. J. Ou (The LHAASO Collaboration), P. Pattarakijwanich (The LHAASO Collaboration), Z. Y. Pei (The LHAASO Collaboration), J. C. Qi (The LHAASO Collaboration), M. Y. Qi (The LHAASO Collaboration), J. J. Qin (The LHAASO Collaboration), A. Raza (The LHAASO Collaboration), C. Y. Ren (The LHAASO Collaboration), D. Ruffolo (The LHAASO Collaboration), A. Sáiz (The LHAASO Collaboration), D. Semikoz (The LHAASO Collaboration), L. Shao (The LHAASO Collaboration), O. Shchegolev (The LHAASO Collaboration), Y. Z. Shen (The LHAASO Collaboration), X. D. Sheng (The LHAASO Collaboration), Z. D. Shi (The LHAASO Collaboration), F. W. Shu (The LHAASO Collaboration), H. C. Song (The LHAASO Collaboration), Yu. V. Stenkin (The LHAASO Collaboration), V. Stepanov (The LHAASO Collaboration), Y. Su (The LHAASO Collaboration), D. X. Sun (The LHAASO Collaboration), H. Sun (The LHAASO Collaboration), Q. N. Sun (The LHAASO Collaboration), X. N. Sun (The LHAASO Collaboration), Z. B. Sun (The LHAASO Collaboration), N. H. Tabasam (The LHAASO Collaboration), J. Takata (The LHAASO Collaboration), P. H. T. Tam (The LHAASO Collaboration), H. B. Tan (The LHAASO Collaboration), Q. W. Tang (The LHAASO Collaboration), R. Tang (The LHAASO Collaboration), Z. B. Tang (The LHAASO Collaboration), W. W. Tian (The LHAASO Collaboration), C. N. Tong (The LHAASO Collaboration), L. H. Wan (The LHAASO Collaboration), C. Wang (The LHAASO Collaboration), G. W. Wang (The LHAASO Collaboration), H. G. Wang (The LHAASO Collaboration), J. C. Wang (The LHAASO Collaboration), K. Wang (The LHAASO Collaboration), Kai Wang (The LHAASO Collaboration), Kai Wang (The LHAASO Collaboration), L. P. Wang (The LHAASO Collaboration), L. Y. Wang (The LHAASO Collaboration), L. Y. Wang (The LHAASO Collaboration), R. Wang (The LHAASO Collaboration), W. Wang (The LHAASO Collaboration), X. G. Wang (The LHAASO Collaboration), X. J. Wang (The LHAASO Collaboration), X. Y. Wang (The LHAASO Collaboration), Y. Wang (The LHAASO Collaboration), Y. D. Wang (The LHAASO Collaboration), Z. H. Wang (The LHAASO Collaboration), Z. X. Wang (The LHAASO Collaboration), Zheng Wang (The LHAASO Collaboration), D. M. Wei (The LHAASO Collaboration), J. J. Wei (The LHAASO Collaboration), Y. J. Wei (The LHAASO Collaboration), T. Wen (The LHAASO Collaboration), S. S. Weng (The LHAASO Collaboration), C. Y. Wu (The LHAASO Collaboration), H. R. Wu (The LHAASO Collaboration), Q. W. Wu (The LHAASO Collaboration), S. Wu (The LHAASO Collaboration), X. F. Wu (The LHAASO Collaboration), Y. S. Wu (The LHAASO Collaboration), S. Q. Xi (The LHAASO Collaboration), J. Xia (The LHAASO Collaboration), J. J. Xia (The LHAASO Collaboration), G. M. Xiang (The LHAASO Collaboration), D. X. Xiao (The LHAASO Collaboration), G. Xiao (The LHAASO Collaboration), Y. L. Xin (The LHAASO Collaboration), Y. Xing (The LHAASO Collaboration), D. R. Xiong (The LHAASO Collaboration), Z. Xiong (The LHAASO Collaboration), D. L. Xu (The LHAASO Collaboration), R. F. Xu (The LHAASO Collaboration), R. X. Xu (The LHAASO Collaboration), W. L. Xu (The LHAASO Collaboration), L. Xue (The LHAASO Collaboration), D. H. Yan (The LHAASO Collaboration), T. Yan (The LHAASO Collaboration), C. W. Yang (The LHAASO Collaboration), C. Y. Yang (The LHAASO Collaboration), F. F. Yang (The LHAASO Collaboration), L. L. Yang (The LHAASO Collaboration), M. J. Yang (The LHAASO Collaboration), R. Z. Yang (The LHAASO Collaboration), W. X. Yang (The LHAASO Collaboration), Z. H. Yang (The LHAASO Collaboration), Z. G. Yao (The LHAASO Collaboration), X. A. Ye (The LHAASO Collaboration), L. Q. Yin (The LHAASO Collaboration), N. Yin (The LHAASO Collaboration), X. H. You (The LHAASO Collaboration), Z. Y. You (The LHAASO Collaboration), Q. Yuan (The LHAASO Collaboration), H. Yue (The LHAASO Collaboration), H. D. Zeng (The LHAASO Collaboration), T. X. Zeng (The LHAASO Collaboration), W. Zeng (The LHAASO Collaboration), X. T. Zeng (The LHAASO Collaboration), M. Zha (The LHAASO Collaboration), B. B. Zhang (The LHAASO Collaboration), B. T. Zhang (The LHAASO Collaboration), C. Zhang (The LHAASO Collaboration), F. Zhang (The LHAASO Collaboration), H. Zhang (The LHAASO Collaboration), H. M. Zhang (The LHAASO Collaboration), H. Y. Zhang (The LHAASO Collaboration), J. L. Zhang (The LHAASO Collaboration), Li Zhang (The LHAASO Collaboration), P. F. Zhang (The LHAASO Collaboration), P. P. Zhang (The LHAASO Collaboration), R. Zhang (The LHAASO Collaboration), S. R. Zhang (The LHAASO Collaboration), S. S. Zhang (The LHAASO Collaboration), W. Y. Zhang (The LHAASO Collaboration), X. Zhang (The LHAASO Collaboration), X. P. Zhang (The LHAASO Collaboration), Yi Zhang (The LHAASO Collaboration), Yong Zhang (The LHAASO Collaboration), Z. P. Zhang (The LHAASO Collaboration), J. Zhao (The LHAASO Collaboration), L. Zhao (The LHAASO Collaboration), L. Z. Zhao (The LHAASO Collaboration), S. P. Zhao (The LHAASO Collaboration), X. H. Zhao (The LHAASO Collaboration), Z. H. Zhao (The LHAASO Collaboration), F. Zheng (The LHAASO Collaboration), W. J. Zhong (The LHAASO Collaboration), B. Zhou (The LHAASO Collaboration), H. Zhou (The LHAASO Collaboration), J. N. Zhou (The LHAASO Collaboration), M. Zhou (The LHAASO Collaboration), P. Zhou (The LHAASO Collaboration), R. Zhou (The LHAASO Collaboration), X. X. Zhou (The LHAASO Collaboration), X. X. Zhou (The LHAASO Collaboration), B. Y. Zhu (The LHAASO Collaboration), C. G. Zhu (The LHAASO Collaboration), F. R. Zhu (The LHAASO Collaboration), H. Zhu (The LHAASO Collaboration), K. J. Zhu (The LHAASO Collaboration), Y. C. Zou (The LHAASO Collaboration), X. Zuo (The LHAASO Collaboration)Mon, 09 Ma🔭 astro-ph

Supernovae Exploding within Dense Extended Material: Early Emission Regimes and Degeneracies in Parameter Inference from Observations

This paper presents an analytical framework for early supernova emission from shock interaction with extended material, demonstrating that current optical observations suffer from significant parameter degeneracies—particularly in inferring the material's radius—while highlighting the critical role of future UV and X-ray missions like ULTRASAT in resolving these uncertainties.

Tal Wasserman, Eli WaxmanMon, 09 Ma🔭 astro-ph

Radiation GRMHD Models of Accretion onto Stellar-Mass Black Holes: II. Super-Eddington Accretion

This paper presents comprehensive GRMHD simulations with angle-discretized radiation transport showing that super-Eddington accretion onto stellar-mass black holes consistently forms radiation-pressure-supported thick disks with low efficiency due to outflows, where the presence of strong jets driven by high spin and magnetic flux can clear the funnel to enable beamed radiation escape, while weak jets result in obscured flows with distinct observational signatures applicable to ultraluminous X-ray sources and other transient systems.

Lizhong Zhang, James M. Stone, Christopher J. White, Shane W. Davis, Yan-Fei Jiang, Patrick D. MullenMon, 09 Ma🔭 astro-ph

Inverse-mapped density-dependent relativistic mean-field inference of the neutron-star equation of state with multi-messenger constraints

This study employs Bayesian inference within a density-dependent relativistic mean-field framework, constrained by multi-messenger data ranging from chiral effective field theory to massive pulsar observations, to reconstruct a thermodynamically consistent neutron-star equation of state that predicts a compact canonical radius of approximately 11.6 km and reveals strongly interacting matter cores with sound speeds exceeding the conformal limit.

Wen-Jie Xie, Cheng-Jun XiaMon, 09 Ma🔭 astro-ph

Searching for precessing binary systems with mode-by-mode filtering and marginalization

This paper introduces a novel search framework for precessing binary black hole systems in LIGO-Virgo-KAGRA data that utilizes mode-by-mode filtering, machine learning-based template reduction, and marginalization over harmonic signal-to-noise ratios to overcome the computational and statistical challenges of spin precession, ultimately increasing the sensitive search volume by approximately 10%.

Zihan Zhou, Digvijay Wadekar, Javier Roulet, Oryna Ivashtenko, Tejaswi Venumadhav, Tousif Islam, Ajit Kumar Mehta, Jonathan Mushkin, Mark Ho-Yeuk Cheung, Barak Zackay, Matias ZaldarriagaMon, 09 Ma🔭 astro-ph

Data-Driven Trends and Subpopulations in the Gravitational Wave Binary Black Hole Merger Population with UMAP

This paper introduces the first application of the Uniform Manifold Approximation and Projection (UMAP) algorithm to the GWTC-3 binary black hole catalog, demonstrating that this model-independent, non-parametric technique effectively identifies distinct astrophysical subpopulations and formation pathways based on mass and spin characteristics.

A. J. Amsellem, I. Magaña Hernandez, A. Palmese, J. GassertMon, 09 Ma🔭 astro-ph

Discovery and Timing of the First Millisecond Pulsar in NGC 6316

Using the Green Bank and Parkes radio telescopes, researchers discovered and characterized the first millisecond pulsar, PSR J1716-2808A, in the globular cluster NGC 6316, confirming its cluster membership through timing analysis despite a lower-than-expected dispersion measure and suggesting that deeper searches could reveal many more pulsars consistent with the cluster's gamma-ray emission.

Deven Bhakta, Scott M. Ransom, Megan DeCesar, Shi DaiMon, 09 Ma🔭 astro-ph