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F

F. Gao

Researcher at Columbia University

Publications -  65
Citations -  9919

F. Gao is an academic researcher from Columbia University. The author has contributed to research in topics: Dark matter & WIMP. The author has an hindex of 33, co-authored 65 publications receiving 8075 citations. Previous affiliations of F. Gao include University of Bologna & Max Planck Society.

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Intrinsic backgrounds from Rn and Kr in the XENON100 experiment

Elena Aprile, +125 more
TL;DR: In this paper, the authors describe the XENON100 data analyses used to assess the target-intrinsic background sources radon ( ), thoron ( ) and krypton ( ).
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Online $^{222}$Rn removal by cryogenic distillation in the XENON100 experiment

Elena Aprile, +120 more
TL;DR: In this paper, a cryogenic distillation column is integrated into the gas purification loop of the XENON100 detector for online radon removal, which enabled the authors to significantly reduce the constant background originating from radon emanation.
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Material radioassay and selection for the XENON1T dark matter experiment

TL;DR: In this article, the authors report the results of an extensive material radioassay campaign for the XENON1T experiment, using gamma-ray spectroscopy and mass spectrometry techniques, systematic measurements of trace radioactive impurities in over one hundred samples within a wide range of materials.
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Search for inelastic scattering of WIMP dark matter in XENON1T

Elena Aprile, +147 more
- 19 Mar 2021 - 
TL;DR: The results of a search for the inelastic scattering of weakly interacting massive particles (WIMPs) in the XENON1T dark matter experiment were reported in this paper.
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222 Rn emanation measurements for the XENON1T experiment.

Elena Aprile, +148 more
TL;DR: In this article, the authors presented the emanation measurements performed for the XENON1T dark matter experiment, which enabled them to select the radio-purest construction materials, targeting a radioactive radon atom from material surfaces attains increasing relevance in the effort to further reduce the background of such experiments.