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1. Uncertainties in tellurium-based dark matter searches stemming from nuclear structure uncertainties

   https://doi.org/10.1103/PhysRevD.111.063045  

   Heimsoth, Daniel J; Kowalski, Rebecca; Speller, Danielle H; Johnson, Calvin W; Balantekin, A Baha; Coppersmith, Susan N (March 2025, Physical Review D)

   Using tellurium dioxide as a target, we calculate uncertainties on 90% upper confidence limits of Galilean effective field theory (Galilean EFT) couplings to a weakly interacting massive particle (WIMP) dark matter candidate due to uncertainties in nuclear shell models. We find that these uncertainties in naturally occurring tellurium isotopes are comparable across the different Galilean EFT couplings to uncertainties in xenon, with some reaching over 100%. We also consider the effect these nuclear uncertainties have on estimates of the annual modulation of dark matter from these searches, finding that the uncertainties in the modulation amplitude are proportional to the nonmodulating upper confidence limit uncertainties. We also show that the determination of the modulation phase is insensitive to changes in the nuclear model for a given isotope. 

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2. Seismic moment tensors and estimated uncertainties in southern Alaska: ALASKA MOMENT TENSORS AND UNCERTAINTIES

   https://doi.org/10.1002/2015JB012588  

   Silwal, Vipul; Tape, Carl (April 2016, Journal of Geophysical Research: Solid Earth)

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3. Statistical patterns of theory uncertainties

   https://doi.org/10.21468/SciPostPhysCore.6.2.045  

   Ghosh, Aishik; Nachman, Benjamin; Plehn, Tilman; Shire, Lily; Tait, Tim_M P; Whiteson, Daniel (January 2023, SciPost Physics Core)

   A comprehensive uncertainty estimation is vital for the precision program of the LHC. While experimental uncertainties are often described by stochastic processes and well-defined nuisance parameters, theoretical uncertainties lack such a description. We study uncertainty estimates for cross-section predictions based on scale variations across a large set of processes. We find patterns similar to a stochastic origin, with accurate uncertainties for processes mediated by the strong force, but a systematic underestimate for electroweak processes. We propose an improved scheme, based on the scale variation of reference processes, which reduces outliers in the mapping from leading order to next-to-leading-order in perturbation theory. 

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4. On reverberation mapping lag uncertainties

   https://doi.org/10.1093/mnras/stz3464  

   Yu, Z; Kochanek, C S; Peterson, B M; Zu, Y; Brandt, W N; Cackett, E M; Fausnaugh, M M; McHardy, I M (February 2020, Monthly Notices of the Royal Astronomical Society)

   ABSTRACT We broadly explore the effects of systematic errors on reverberation mapping lag uncertainty estimates from javelin and the interpolated cross-correlation function (ICCF) method. We focus on simulated light curves from random realizations of the light curves of five intensively monitored AGNs. Both methods generally work well even in the presence of systematic errors, although javelin generally provides better error estimates. Poorly estimated light-curve uncertainties have less effect on the ICCF method because, unlike javelin , it does not explicitly assume Gaussian statistics. Neither method is sensitive to changes in the stochastic process driving the continuum or the transfer function relating the line light curve to the continuum. The only systematic error we considered that causes significant problems is if the line light curve is not a smoothed and shifted version of the continuum light curve but instead contains some additional sources of variability. 

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5. Safe Optimal Control Under Parametric Uncertainties

   https://doi.org/10.1109/LRA.2020.3010491  

   Makkapati, Venkata Ramana; Sarabu, Hemanth; Comandur, Vinodhini; Tsiotras, Panagiotis; Hutchinson, Seth (October 2020, IEEE Robotics and Automation Letters)

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