output
19932026
most citedGW190521: A Binary Black Hole Merger with a Total Mass of

1.3k citations

Showing 2017Show all

26 papers · 1 filter

astro-ph.HE2017★ 21 cited

On the synchrotron spectrum of GRB prompt emission

Siyao Xu, Yuan-Pei Yang, Bing Zhang

The prompt emission spectrum of Gamma-ray bursts (GRB) is characterized by a smoothly joint broken power-law spectrum known as the Band function. The typical low-energy photon inde…

hep-ex2017★ 190 cited

Measurement of the multi-TeV neutrino cross section with IceCube using Earth absorption

IceCube Collaboration, M. G. Aartsen, M. Ackermann +314

Neutrinos interact only very weakly, so they are extremely penetrating. However, the theoretical neutrino-nucleon interaction cross section rises with energy such that, at energies…

math.CA2017

A unified method for maximal truncated Calderón-Zygmund operators in general function spaces by sparse domination

Theresa C. Anderson, Bingyang Hu

In this note we give simple proofs of several results involving maximal truncated Caldeón-Zygmund operators in the general setting of rearrangement invariant quasi-Banach function…

astro-ph.GA2017★ 48 cited

LOFAR reveals the giant: a low-frequency radio continuum study of the outflow in the nearby FR I radio galaxy 3C 31

V. Heesen, J. H. Croston, R. Morganti +21

We present a deep, low-frequency radio continuum study of the nearby Fanaroff--Riley class I (FR I) radio galaxy 3C 31 using a combination of LOw Frequency ARray (LOFAR; 30--85 and…

astro-ph.HE2017★ 36 cited

Magnetic field amplification in supernova remnants

Siyao Xu, Alex Lazarian

Based on the new findings on the turbulent dynamo in \citet{XL16}, we examine the magnetic field amplification in the context of supernova remnants. Due to the strong ion-neutral c…

cs.CY2017★ 1 cited

Data science for urban equity: Making gentrification an accessible topic for data scientists, policymakers, and the community

Bernease Herman, Gundula Proksch, Rachel Berney +5

The University of Washington eScience Institute runs an annual Data Science for Social Good (DSSG) program that selects four projects each year to train students from a wide range…