collaborators

19 papers

astro-ph.HE2026

Anisotropic Particle Transport from a Pulsar Wind Nebula Revealed by Einstein Probe and LHAASO

Zhen Cao, F. Aharonian, Y. X. Bai +339

Pulsar wind nebulae (PWNe) are major cosmic ray accelerators, yet the mechanisms transporting high-energy particles into the interstellar medium remain elusive. Building on the LHA…

astro-ph.HE2026

Revisiting the XMM-Newton Observations of the Galactic Microquasar SS 433: Implications for the Origin of the Ultrahigh-Energy Emission Detected by LHAASO

Chao-Nan Tong, Hong-Bin Tan, Ruo-Yu Liu

Recently, the Large High Altitude Air Shower Observatory (LHAASO) detected ultrahigh-energy (UHE; photon energy E>100TeV) -ray emission toward SS 433, the microquasar embedded i…

astro-ph.HE2026

The Extended Ultrahigh-energy Gamma-Ray Emission in the Vicinity of PSR J2238+5903

Zhen Cao, F. Aharonian, Y. X. Bai +324

We present a comprehensive analysis of the recently discovered TeV gamma-ray source, LHAASO J2238+5900. Based on data collected from the LHAASO, our fitting results suggest that th…

astro-ph.HE2026

Energy-Dependent Shifts of Medium-Scale Anisotropies in Very-High-Energy Cosmic Rays Observed by LHAASO-KM2A

The LHAASO collabration, Zhen Cao, F. Aharonian +310

Small deviations from isotropy in the arrival directions of Galactic cosmic rays serve as a unique probe of the local magnetic environment. In this Letter, we report observations o…

astro-ph.HE2026

Cygnus X-3: A variable petaelectronvolt gamma-ray source

The LHAASO Collaboration, Zhen Cao, F. Aharonian +324

We report the discovery of variable -rays up to petaelectronvolt from Cygnus X-3, an iconic X-ray binary. The -ray signal was detected with a statistical significance of ap…

astro-ph.HE2026

First detection of ultra-high energy emission from gamma-ray binary LS I +61 303

Zhen Cao, F. Aharonian, Y. X. Bai +320

We report the first detection of gamma-ray emission up to ultra-high-energy (UHE; 100 TeV) emission from the prototypical gamma-ray binary system LS I +61 303 using data from th…