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Related papers: Robust model comparison tests of DAMA/LIBRA annual…

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We implement a test of the variability of the per-cycle annual modulation amplitude in the different phases of the DAMA/LIBRA experiment using Bayesian model comparison. Using frequentist methods, a previous study (Kelso et al 2018) had…

Cosmology and Nongalactic Astrophysics · Physics 2021-09-16 Srinikitha Bhagvati , Shantanu Desai

We perform an independent search for annual modulation caused by dark matter-induced scatterings in the recently released COSINE-100 data. We test the hypothesis that the data contains a sinusoidal modulation against the null hypothesis…

Cosmology and Nongalactic Astrophysics · Physics 2019-12-17 Aditi Krishak , Shantanu Desai

The DAMA/LIBRA collaboration has reported the observation of an annual modulation in the event rate that has been attributed to dark matter interactions over the last two decades. However, even though tremendous efforts to detect similar…

We perform an independent search for sinusoidal-based modulation in the recently released ANAIS-112 data, which could be induced by dark matter scatterings. We then evaluate this hypothesis against the null hypothesis that the data contains…

Cosmology and Nongalactic Astrophysics · Physics 2020-08-31 Aditi Krishak , Shantanu Desai

In a recent paper [arXiv:2002.00459], Buttazzo et al. show how the annually modulated rate of the DAMA experiments can be possibly interpreted as an artefact due to the interplay between a time-dependent background and the method to account…

High Energy Physics - Experiment · Physics 2020-04-29 Andrea Messina , Marco Nardecchia , Stefano Piacentini

For over 25 years, the DAMA/LIBRA collaboration has claimed to observe an annual modulation signal, suggesting the existence of dark matter interactions. However, no experiment employing different target materials has observed a dark matter…

The DAMA/LIBRA experiment shows $9.5 \sigma$ evidence for an annual modulation in the $(1-6)~ {\rm keV}$ energy range, strongly suggesting that the observed modulation has the dark matter origin. However, the conventional interpretation in…

High Energy Physics - Phenomenology · Physics 2020-04-22 Ariel Zhitnitsky

We perform a Bayesian model comparison test between a sinusoidal modulation model and a constant value model using about three years of combined COSINE-100 and ANAIS-112 data. We use both uniform priors and normal priors (based on DAMA…

High Energy Physics - Experiment · Physics 2026-05-28 Om Godse , Shantanu Desai

In the information-based paradigm of inference, model selection is performed by selecting the candidate model with the best estimated predictive performance. The success of this approach depends on the accuracy of the estimate of the…

Machine Learning · Statistics 2018-06-11 Colin H. LaMont , Paul A. Wiggins

The DAMA collaboration reported an annually modulated rate with a phase compatible with a Dark Matter induced signal. We point out that a slowly varying rate can bias or even simulate an annual modulation if data are analyzed in terms of…

High Energy Physics - Experiment · Physics 2020-05-20 Dario Buttazzo , Paolo Panci , Nicola Rossi , Alessandro Strumia

Information criteria such as Akaike's (AIC) and Bayes' (BIC) are widely used for model selection in physics and beyond, quantifying the tradeoff between model complexity and goodness-of-fit to enforce parsimony. However, their derivation…

Dynamical Systems · Mathematics 2025-11-20 Kumar Utkarsh , Daniel M. Abrams

Assuming a standard Maxwellian for the WIMP velocity distribution, we obtain the bounds from null WIMP search results of 59.5 days of COSINE-100 data on the DAMA/LIBRA-phase2 modulation effect within the context of the non-relativistic…

We propose information criteria that measure the prediction risk of a predictive density based on the Bayesian marginal likelihood from a frequentist point of view. We derive criteria for selecting variables in linear regression models,…

Methodology · Statistics 2017-10-20 Yuki Kawakubo , Tatsuya Kubokawa , Muni S. Srivastava

In the problem of selecting variables in a multivariate linear regression model, we derive new Bayesian information criteria based on a prior mixing a smooth distribution and a delta distribution. Each of them can be interpreted as a fusion…

Statistics Theory · Mathematics 2022-09-29 Haruki Kono , Tatsuya Kubokawa

The DAMA/LIBRA collaboration has recently released updated results from their search for the annual modulation signal expected from Dark Matter (DM) scattering in their NaI detectors. We have fitted the updated DAMA result for the…

High Energy Physics - Phenomenology · Physics 2018-07-10 Sunghyun Kang , Stefano Scopel , Gaurav Tomar , Jong-Hyun Yoon

The relative sensitivity of different direct detection experiments depends sensitively on the astrophysical distribution and particle physics nature of dark matter, prohibiting a model-independent comparison. The situation changes…

High Energy Physics - Phenomenology · Physics 2018-06-13 Felix Kahlhoefer , Florian Reindl , Karoline Schäffner , Kai Schmidt-Hoberg , Sebastian Wild

The long-standing model-independent annual modulation effect measured by DAMA deep underground at Gran Sasso Laboratory with different experimental configurations is summarized and perspectives will be highlighted. DAMA/LIBRA-phase2 set-up,…

Recently, the DAMA/LIBRA experiment has convincingly confirmed the DAMA/NaI annual modulation signal, experimentally demonstrating the existence of non-baryonic dark matter in the halo of our galaxy. Meanwhile, in another part of town,…

High Energy Physics - Phenomenology · Physics 2008-11-26 R. Foot

We discuss the compatibility of the combined annual modulation effect measured by DAMA/LIBRA-phase1 and DAMA/LIBRA-phase2 with an explanation in terms of inelastic scattering events induced by the most general Galilean-invariant effective…

High Energy Physics - Phenomenology · Physics 2019-06-05 Sunghyun Kang , Stefano Scopel , Gaurav Tomar

This paper evaluates the reliability of lumber, accounting for the duration-of-load (DOL) effect under different load profiles based on a multimodel Bayesian approach. Three individual DOL models previously used for reliability assessment…

Applications · Statistics 2021-10-25 Yunfeng Yang , Martin Lysy , Samuel W. K. Wong
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