2008
DOI: 10.1016/j.astropartphys.2008.06.001
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A model of nuclear recoil scintillation efficiency in noble liquids

Abstract: Scintillation efficiency of low-energy nuclear recoils in noble liquids plays a crucial role in interpreting results from some direct searches for Weakly Interacting Massive Particle (WIMP) dark matter. However, the cause of a reduced scintillation efficiency relative to electronic recoils in noble liquids remains unclear at the moment. We attribute such a reduction of scintillation efficiency to two major mechanisms: 1) energy loss and 2) scintillation quenching. The former is commonly described by Lindhard's… Show more

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Cited by 97 publications
(99 citation statements)
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“…as suggested in [62] would lead to a dependence of τ t on the density of excimer molecules. If this happened within the track of one beam ion, a higher excitation density with sulfur ions could lead to the observed shorter triplet life times.…”
Section: Time-resolved Studiesmentioning
confidence: 99%
“…as suggested in [62] would lead to a dependence of τ t on the density of excimer molecules. If this happened within the track of one beam ion, a higher excitation density with sulfur ions could lead to the observed shorter triplet life times.…”
Section: Time-resolved Studiesmentioning
confidence: 99%
“…Biexcitonic collisions.-A final quenching and ionization is applied to the light signal to account for Penning effects, in which two excitons can interact to produce one exciton and one photon [74], or one photon and one electron. Both processes remove quanta from the photon signal.…”
Section: Modeling Nuclear Recoils In Liquid Xenonmentioning
confidence: 99%
“…The mean fraction of recoil energy lost to electrons, L (E), is described by the Lindhard model [22]. Scintillation and ionization quanta leaving the track are described by an energy-independent ratio of initial excitons and ions, followed by charge recombination according to the Thomas-Imel box model [23] and biexcitonic quenching including Penning ionization [24,25]. S1 and S2 are then generated via standard statistical distributions which model stages of detector response (collection of scintillation photons, attenuation of the ionization signal before S2 production, photoelectron and SE distributions).…”
mentioning
confidence: 99%