Presents a fully photometric framework to measure individual cluster splashback radii and masses from SDSS data and constructs the first observational splashback mass function.
Title resolution pending
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
years
2026 6representative citing papers
AGILE archival data reveal gamma-ray flares from a source matching IGR J17354-3255, with orbital phase correlation supporting physical association and high-energy emission from SFXTs.
The intensity-tracking pattern in GRB prompt spectra divides into three subclasses: aligned peaks (Type I), Ep before flux (Type II, dominant), and Ep after flux (Type III).
Chandra observations of CTA 1 PWN show jet/torus morphology, constrain pulsar velocity to ≲200 km/s, and model low magnetic field with PeV electron cutoff in a young low-efficiency nebula.
This review describes the IACT event reconstruction pipeline and the role of machine learning for classification and regression, highlighting timing features and ensemble methods as improvements over baseline approaches.
citing papers explorer
-
The Splashback Mass Function of Galaxy Clusters from Photometric Data
Presents a fully photometric framework to measure individual cluster splashback radii and masses from SDSS data and constructs the first observational splashback mass function.
-
AGILE detection of transient {\gamma}-ray emission from the region of the supergiant fast X-ray transient source IGR J17354-3255
AGILE archival data reveal gamma-ray flares from a source matching IGR J17354-3255, with orbital phase correlation supporting physical association and high-energy emission from SFXTs.
-
Three Subclasses of the Intensity-tracking Pattern in Gamma-Ray Burst Spectral Evolution
The intensity-tracking pattern in GRB prompt spectra divides into three subclasses: aligned peaks (Type I), Ep before flux (Type II, dominant), and Ep after flux (Type III).
-
Chandra X-ray Observations of the Pulsar Wind Nebula within CTA 1
Chandra observations of CTA 1 PWN show jet/torus morphology, constrain pulsar velocity to ≲200 km/s, and model low magnetic field with PeV electron cutoff in a young low-efficiency nebula.
-
Machine Learning for Event Reconstruction in Imaging Atmospheric Cherenkov Telescopes
This review describes the IACT event reconstruction pipeline and the role of machine learning for classification and regression, highlighting timing features and ensemble methods as improvements over baseline approaches.
- The exceptional 2017 gamma-ray flare of the radio galaxy NGC 1275: VERITAS and Multiwavelength Observations