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First Dark Matter Search Results from the XENON1T Experiment
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Antal upphovsmän: 1262017 (Engelska)Ingår i: Physical Review Letters, ISSN 0031-9007, E-ISSN 1079-7114, Vol. 119, nr 18, artikel-id 181301Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

We report the first dark matter search results from XENON1T, a similar to 2000-kg-target-mass dual-phase (liquid-gas) xenon time projection chamber in operation at the Laboratori Nazionali del Gran Sasso in Italy and the first ton-scale detector of this kind. The blinded search used 34.2 live days of data acquired between November 2016 and January 2017. Inside the (1042 +/- 12)-kg fiducial mass and in the [5, 40] keV(nr) energy range of interest for weakly interacting massive particle (WIMP) dark matter searches, the electronic recoil background was (1.93 +/- 0.25) x 10(-4) events/(kg x day x keV(ee)), the lowest ever achieved in such a dark matter detector. A profile likelihood analysis shows that the data are consistent with the background-only hypothesis. We derive the most stringent exclusion limits on the spin-independent WIMP-nucleon interaction cross section for WIMP masses above 10 GeV/c(2), with a minimum of 7.7 x 10(-47) cm(2) for 35-GeV/c(2) WIMPs at 90% C.L.

Ort, förlag, år, upplaga, sidor
2017. Vol. 119, nr 18, artikel-id 181301
Nationell ämneskategori
Fysik
Forskningsämne
fysik
Identifikatorer
URN: urn:nbn:se:su:diva-148981DOI: 10.1103/PhysRevLett.119.181301ISI: 000413903200005OAI: oai:DiVA.org:su-148981DiVA, id: diva2:1162377
Tillgänglig från: 2017-12-04 Skapad: 2017-12-04 Senast uppdaterad: 2019-01-07Bibliografiskt granskad
Ingår i avhandling
1. Statistical Modelling and Inference for XENON1T
Öppna denna publikation i ny flik eller fönster >>Statistical Modelling and Inference for XENON1T
2019 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

A great number of astrophysical observations suggests that of the matter in our universe, only a sixth is made up of known matter. The rest, named dark matter, has not been successfully identified. This thesis presents the analysis and statistical inference that was used by the XENON1T collaboration to conduct a search for a particular dark matter candidate; weakly interacting massive particles (WIMPs).

 

XENON1T is a dual-phase time projection chamber that can detect particles scattering in a 2 tonne target of liquid xenon with deposited recoil energies above ~3 keV. This is low enough to observe the elastic recoil between a WIMP and a xenon nucleus for WIMP masses >5 GeV c-2.

The results presented in this thesis use 278.8 days of data, with an analysis mass of 1.3 tonne.

 

XENON1T uses models for backgrounds and signals within this volume to construct a combined likelihood for two science data-taking periods as well as calibration data-sets. Fits to simulated data-sets were used to calibrate and validate the confidence interval construction. In addition, analysis choices were evaluated both to optimize the discovery power and expected sensitivity of the search, and to improve the robustness of the analysis.

 

No significant excess was observed in the search for a spin-independent WIMP-nucleon interaction for any WIMP masses between 6  GeV c-2 and 104 GeV c-2 for the 1 ton-year exposure. This analysis produced the strongest constraint on the spin-independent WIMP-nucleon cross-section so far, with a minimum of 4.1 10-47 cm2  for a 30 GeV c-2 WIMP.

Ort, förlag, år, upplaga, sidor
Stockholm: Department of Physics, Stockholm University, 2019. s. 116
Nyckelord
Dark matter, direct detection, statistical analysis
Nationell ämneskategori
Astronomi, astrofysik och kosmologi
Forskningsämne
fysik
Identifikatorer
urn:nbn:se:su:diva-163390 (URN)978-91-7797-566-3 (ISBN)978-91-7797-567-0 (ISBN)
Disputation
2019-02-25, FA31, Albanova, Roslagstullsbacken 21, Stockholm, 10:00 (Engelska)
Opponent
Handledare
Anmärkning

At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 3: Manuscript. Paper 4: Manuscript. Paper 5: Manuscript.

Tillgänglig från: 2019-01-31 Skapad: 2019-01-06 Senast uppdaterad: 2019-02-28Bibliografiskt granskad

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Bauermeister, BorisCalvén, JakobConrad, JanFerella, Alfredo D.Morå, KnutPelssers, Bart
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