From the 2 of 9 linked papers with an AI index.
9 papers
Thermal or Non-thermal? Diffuse emission in the infall region of stacked galaxy groups
E. Bulbul, X. Zhang, Z. Ding +16
The authors stack eROSITA X‑ray data for 827 low‑mass galaxy groups to detect faint diffuse emission out to ~2 R200, measuring temperature, density, and metal abundance in the infa…
The SRG/eROSITA All-Sky Survey DR2: Cumulative X-ray catalogues from the first three surveys and multi-wavelength counterparts in the western Galactic hemisphere
M. E. Ramos-Ceja, G. Lamer, M. Salvato +111
The paper presents the second data release of the SRG/eROSITA all‑sky survey, providing catalogues of nearly two million X‑ray sources (point‑like and extended) from the first thre…
Simulation-Based Inference for Cluster Cosmology with Set-Based Neural Network Architectures
S. Zelmer, E. Bulbul, K. Lehman +18
The unprecedented statistical power of galaxy cluster catalogs from the SRG (Spectrum Roentgen Gamma)/eROSITA All-Sky Survey provides a unique opportunity to place stringent constr…
The SRG/eROSITA all-sky survey: Constraints on Ultra-light Axion Dark Matter through Galaxy Cluster Number Counts
S. Zelmer, E. Artis, E. Bulbul +25
Ultralight axions are hypothetical scalar particles that influence the evolution of large-scale structures of the Universe. Depending on their mass, they can potentially be part of…
The SRG/eROSITA All-Sky Survey. Detection of shock-heated gas beyond the halo boundary into the accretion region
X. Zhang, E. Bulbul, B. Diemer +16
The hot gas in the outskirts of galaxy cluster-sized halos, extending around and beyond the virial radius into nearby accretion regions, remains among one of the least explored bar…
The SRG/eROSITA all-sky survey: X-ray scaling relations of galaxy groups and clusters in the western Galactic hemisphere
M. E. Ramos-Ceja, L. Fiorino, E. Bulbul +19
The soft X-ray telescope on board the Spectrum-Roentgen-Gamma (SRG) mission, eROSITA (extended ROentgen Survey with an Imaging Telescope Array), has produced the largest sample to…