Effective Field Theory Analysis of CDMSlite Run 2 Data
Abstract
CDMSlite Run 2 was a search for weakly interacting massive particles (WIMPs) with a cryogenic 600 g Ge detector operated in a high-voltage mode to optimize sensitivity to WIMPs of relatively low mass from 2 - 20 GeV/. In this article, we present an effective field theory (EFT) analysis of the CDMSlite Run 2 data using an extended energy range and a comprehensive treatment of the expected background. A binned likelihood Bayesian analysis was performed on the recoil energy data, taking into account the parameters of the EFT interactions and optimizing the data selection with respect to the dominant background components. Energy regions within 5 of known activation peaks were removed from the analysis. The Bayesian evidences resulting from the different operator hypotheses show that the CDMSlite Run 2 data are consistent with the background-only models and do not allow for a signal interpretation assuming any additional EFT interaction. Consequently, upper limits on the WIMP mass and coupling-coefficient amplitudes and phases are presented for each EFT operator. These limits improve previous CDMSlite Run 2 bounds for WIMP masses above 5 GeV/.
Cite
@article{arxiv.2205.11683,
title = {Effective Field Theory Analysis of CDMSlite Run 2 Data},
author = {SuperCDMS Collaboration and M. F. Albakry and I. Alkhatib and D. W. P. Amaral and T. Aralis and T. Aramaki and I. J. Arnquist and I. Ataee Langroudy and E. Azadbakht and S. Banik and C. Bathurst and D. A. Bauer and L. V. S. Bezerra and R. Bhattacharyya and P. L. Brink and R. Bunker and B. Cabrera and R. Calkins and R. A. Cameron and C. Cartaro and D. G. Cerdeño and Y. -Y. Chang and M. Chaudhuri and R. Chen and N. Chott and J. Cooley and H. Coombes and J. Corbett and P. Cushman and F. De Brienne and S. Dharani and M. L. di Vacri and M. D. Diamond and E. Fascione and E. Figueroa-Feliciano and C. W. Fink and K. Fouts and M. Fritts and G. Gerbier and R. Germond and M. Ghaith and S. R. Golwala and J. Hall and N. Hassan and B. A. Hines and M. I. Hollister and Z. Hong and E. W. Hoppe and L. Hsu and M. E. Huber and V. Iyer and A. Jastram and V. K. S. Kashyap and M. H. Kelsey and A. Kubik and N. A. Kurinsky and R. E. Lawrence and M. Lee and A. Li and J. Liu and Y. Liu and B. Loer and P. Lukens and D. B. MacFarlane and R. Mahapatra and V. Mandic and N. Mast and A. J. Mayer and H. Meyer zu Theenhausen and É. Michaud and E. Michielin and N. Mirabolfathi and B. Mohanty and S. Nagorny and J. Nelson and H. Neog and V. Novati and J. L. Orrell and M. D. Osborne and S. M. Oser and W. A. Page and R. Partridge and D. S. Pedreros and R. Podviianiuk and F. Ponce and S. Poudel and A. Pradeep and M. Pyle and W. Rau and E. Reid and R. Ren and T. Reynolds and A. Roberts and A. E. Robinson and H. E. Rogers and T. Saab and B. Sadoulet and I. Saikia and J. Sander and A. Sattari and B. Schmidt and R. W. Schnee and S. Scorza and B. Serfass and S. S. Poudel and D. J. Sincavage and C. Stanford and J. Street and H. Sun and F. K. Thasrawala and D. Toback and R. Underwood and S. Verma and A. N. Villano and B. von Krosigk and S. L. Watkins and O. Wen and Z. Williams and M. J. Wilson and J. Winchell and K. Wykoff and S. Yellin and B. A. Young and T. C. Yu and B. Zatschler and S. Zatschler and A. Zaytsev and E. Zhang and L. Zheng and S. Zuber},
journal= {arXiv preprint arXiv:2205.11683},
year = {2022}
}
Comments
16 pages, 8 figures