output
20072025
most citedHyperledger Fabric: A Distributed Operating System for Permissioned Blockchains

3.6k citations

149 papers

astro-ph.SR2025★ 2 cited

The Binary Fraction of Stars in the Dwarf Galaxy Ursa Minor via Dark Energy Spectroscopic Instrument

Tian Qiu, Wenting Wang, Sergey Koposov +45

We utilize multi-epoch line-of-sight velocity measurements from the Milky Way Survey of the Dark Energy Spectroscopic Instrument to estimate the binary fraction for member stars in…

astro-ph.GA2025

The DESI Single Fiber Lens Search. I. Four Thousand Spectroscopically Selected Galaxy-Galaxy Gravitational Lens Candidates

Juliana S. M. Karp, David J. Schlegel, Xiaosheng Huang +47

We present 4,110 strong gravitational lens candidates, 3,887 of which are new discoveries, selected from a sample of 5,837,154 luminous red galaxies (LRGs) observed with the Dark E…

astro-ph.CO2025★ 1 cited

Galaxy-Multiplet Clustering from DESI DR2

Hanyue Wang, Daniel J. Eisenstein, Jessica Nicole Aguilar +44

We present an efficient estimator for higher-order galaxy clustering using small groups of nearby galaxies, or multiplets. Using the Luminous Red Galaxy (LRG) sample from the Dark…

astro-ph.CO2025

DESI Strong Lens Foundry III: Keck Spectroscopy for Strong Lenses Discovered Using Residual Neural Networks

Shrihan Agarwal, Xiaosheng Huang, William Sheu +49

We present spectroscopic data of strong lenses and their source galaxies using the Keck Near-Infrared Echellette Spectrometer (NIRES) and the Dark Energy Spectroscopic Instrument (…

astro-ph.HE2025★ 2 cited

Impact of Accretion Assumptions on Pulse Profile Modelling of Superburst Oscillations in 4U 1636-536

Yves Kini, Anna L. Watts, Tuomo Salmi +7

Modelling the coherent pulsations observed during thermonuclear bursts offers a valuable method to probe the poorly understood equation of state of dense and cold matter. Here we a…

astro-ph.IM2025

Identifying Anomalous DESI Galaxy Spectra with a Variational Autoencoder

C. Nicolaou, R. P. Nathan, O. Lahav +43

The tens of millions of spectra being captured by the Dark Energy Spectroscopic Instrument (DESI) provide tremendous discovery potential. In this work we show how Machine Learning,…