DESI DR2 reference mocks: clustering results from Uchuu-BGS and LRG

This paper presents high-fidelity mock galaxy catalogs for DESI's Bright Galaxy Survey (BGS) and Luminous Red Galaxy (LRG) samples, generated via subhalo abundance matching on the Uchuu simulation, which successfully reproduce observed redshift evolution, clustering statistics, and galaxy-halo connections with high accuracy.

E. Fernández-García, F. Prada, A. Smith, J. DeRose, A. J. Ross, S. Bailey, M. S. Wang, Z. Ding, C. Guandalin, C. Lamman, R. Vaisakh, R. Kehoe, J. Lasker, T. Ishiyama, S. M. Moore, S. Cole, M. Siudek, A. Amalbert, A. Salcedo, A. Hearin, B. Joachimi, A. Rocher, S. Saito, A. Krolewski, Z. Slepian, Q. Li, K. S. Dawson, E. Jullo, J. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, T. Claybaugh, A. de la Macorra, P. Doel, S. Ferraro, A. Font-Ribera, J. E. Forero-Romero, S. Gontcho A Gontcho, G. Gutierrez, K. Honscheid, M. Ishak, R. Joyce, S. Juneau, D. Kirkby, T. Kisner, A. Kremin, O. Lahav, A. Lambert, M. Landriau, M. E. Levi, M. Manera, R. Miquel, J. Moustakas, S. Nadathur, W. J. Percival, I. Pérez-Ràfols, G. Rossi, E. Sanchez, D. Schlegel, H. Seo, J. Silber, D. Sprayberry, G. Tarlé, B. A. Weaver, P. Zarrouk, R. ZhouMon, 09 Ma🔭 astro-ph

PyBird-JAX: Accelerated inference in large-scale structure with model-independent emulation of one-loop galaxy power spectra

The paper introduces PyBird-JAX\texttt{PyBird-JAX}, a differentiable, JAX-based framework that utilizes neural network emulators to accelerate one-loop EFTofLSS galaxy power spectrum calculations by 3–4 orders of magnitude while maintaining high accuracy, thereby enabling rapid and efficient cosmological inference for upcoming large-scale structure surveys.

Alexander Reeves, Pierre Zhang, Henry ZhengMon, 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

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

Parity in Composite-Field Galaxy Correlators

This paper introduces and validates two efficient "kurto spectra" estimators that compress the high-dimensional parity-odd trispectrum of galaxy clustering into one-dimensional observables, demonstrating their ability to detect parity violation in cosmological surveys by effectively mitigating noise through phase-matched subtraction and optimal weighting in both dark matter and halo fields.

Zucheng Gao, Azadeh Moradinezhad Dizgah, Zvonimir VlahMon, 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

Excursion Set Approach to Primordial Black Holes: Cloud-in-Cloud and Mass Function Revisited

This paper reformulates the Press-Schechter approach for primordial black holes within the excursion-set framework to demonstrate that, unlike halo formation, the non-Markovian nature of the process invalidates the standard "fudge factor" correction, necessitating a consistent inclusion of both stochastic motion components to derive a physically valid mass function.

Ashu Kushwaha, Teruaki SuyamaMon, 09 Ma🔭 astro-ph

The trichotomy of primordial black holes initial conditions

This paper demonstrates that the threshold for primordial black hole formation in a radiation-dominated universe depends not only on the compaction function but also on the spatial curvature of the core, leading to a trichotomy of initial conditions (open, closed, or flat) that significantly influence formation probabilities, mass spectra, and the potential connection to Type-II black holes and the NanoGrav signal.

Cristiano Germani, Laia MontellàMon, 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

A Large-Area Optical Time Projection Chamber for Hard X-ray Polarimetry with Directional Imaging of Low-Energy Electron Recoils

This paper reports the successful development and testing of a large-area, optical-readout Time Projection Chamber that achieves high-precision directional imaging of low-energy electron recoils (10–60 keV), demonstrating its potential to extend X-ray polarimetry to higher energies for studying rapid astrophysical transients.

Davide Fiorina, Elisabetta Baracchini, Giorgio Dho, Paolo Soffitta, Samuele Torelli, David J. M. Marques, Enrico Costa, Sergio Fabiani, Fabio Muleri, Giovanni Mazzitelli, Atul PrajapatiMon, 09 Ma🔭 astro-ph

Mass-to-Horizon Entropic Cosmology: A Unified Thermodynamic Pathway to Cosmic Acceleration

This paper proposes a unified thermodynamic framework where cosmic acceleration emerges from an entropic force driven by a generalized mass-to-horizon scaling relation, and demonstrates through a comprehensive Bayesian analysis of multi-probe observational data that this entropic cosmology is statistically preferred over the standard Λ\LambdaCDM model.

Tomasz Denkiewicz, Hussain GoharMon, 09 Ma🔭 astro-ph

Star formation outside galaxies undergoing gravitational and hydrodynamic interactions: Dust attenuation and the star formation rate

This study investigates dust attenuation and star formation rates in extragalactic structures formed by different interaction mechanisms, finding that despite their distinct origins, ram-pressure stripped tails and gravitationally induced rings or tidal tails exhibit notably similar dust content and star formation activity.

Geethika Santhosh, Rakhi R, Koshy George, Bianca M. Poggianti, Smitha Subramanian, Kavila IndulekhaMon, 09 Ma🔭 astro-ph