Results with the DAMA/NaI(Tl) experiment at LNGS

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Title: Results with the DAMA/NaI(Tl) experiment at LNGS
Authors: Bernabei, R.1, Amato, M.2, Belli, P.1, Cappella, F.1, Cerulli, R.1, Dai, C.J.3, He, H.L.3, Ignesti, G.2, Incicchitti, A.2, Kuang, H.H.3, Ma, J.M.3, Montecchia, F.1, Nozzoli, F.1, Prosperi, D.2
Source: Nuclear Physics B Proceedings Supplement. Jul2002, Vol. 110 Issue 1-3, p61. 3p.
Subjects: Observatories, Dark matter
Abstract: DAMA experiment is an observatory for rare events mainly devoted to WIMP search at the Gran Sasso National Laboratory of the I.N.F.N.. In this paper, the results obtained with the ⋍ 100 kg NaI(Tl) set-up will be summarized, pointing out in particular those regarding the investigation of the WIMP annual modulation signature. [Copyright &y& Elsevier]
Copyright of Nuclear Physics B Proceedings Supplement is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: DAMA experiment is an observatory for rare events mainly devoted to WIMP search at the Gran Sasso National Laboratory of the I.N.F.N.. In this paper, the results obtained with the ⋍ 100 kg NaI(Tl) set-up will be summarized, pointing out in particular those regarding the investigation of the WIMP annual modulation signature. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Nuclear Physics B Proceedings Supplement is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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