Abstract

The Light Dark Matter eXperiment (LDMX) is an electron-beam fixed-target experiment designed to achieve comprehensive model independent sensitivity to dark matter particles in the sub-GeV mass region. An upgrade to the LCLS-II accelerator will increase the beam energy available to LDMX from 4 to 8 GeV. Using detailed GEANT4-based simulations, we investigate the effect of the increased beam energy on the capabilities to separate signal and background, and demonstrate that the veto methodology developed for 4 GeV successfully rejects photon-induced backgrounds for at least 2 × 1014 electrons on target at 8 GeV.

Details

Title
Photon-rejection power of the Light Dark Matter eXperiment in an 8 GeV beam
Author
Åkesson, Torsten 1 ; Bravo, Cameron 2 ; Brennan, Liam 3 ; Bryngemark, Lene Kristian 1 ; Butti, Pierfrancesco 2 ; Dukes, E. Craig 4 ; Dutta, Valentina 5 ; Echenard, Bertrand 6 ; Eichlersmith, Thomas 7 ; Eisch, Jonathan 8 ; Elén, Einar 1 ; Ehrlich, Ralf 4 ; Froemming, Cooper 7 ; Furmanski, Andrew 7 ; Gogate, Niramay 9 ; Grieco, Chiara 3 ; Group, Craig 4 ; Herde, Hannah 1 ; Herwig, Christian 8   VIAFID ORCID Logo  ; Hitlin, David G. 6 ; Horoho, Tyler 4 ; Incandela, Joseph 3 ; Ketchum, Wesley 8 ; Krnjaic, Gordan 8 ; Li, Amina 3 ; Mans, Jeremiah 7 ; Masterson, Phillip 3 ; Middleton, Sophie 6 ; Moreno, Omar 2 ; Mullier, Geoffrey 1 ; Muse, Joseph 7 ; Nelson, Timothy 2 ; O’Dwyer, Rory 10 ; Östman, Leo 1 ; Oyang, James 6 ; Pascadlo, Jessica 4 ; Pöttgen, Ruth 1 ; Sarmiento, Luis G. 1 ; Schuster, Philip 2 ; Solt, Matthew 4 ; Suarez, Cristina Mantilla 8 ; Tompkins, Lauren 10 ; Toro, Natalia 2 ; Tran, Nhan 8 ; Wallin, Erik 1   VIAFID ORCID Logo  ; Whitbeck, Andrew 9 ; Zhang, Danyi 3 

1  Lund University, Department of Physics, Lund, Sweden (GRID:grid.4514.4) (ISNI:0000 0001 0930 2361) 
2  SLAC National Accelerator Laboratory, Menlo Park, USA (GRID:grid.445003.6) (ISNI:0000 0001 0725 7771) 
3  University of California at Santa Barbara, Santa Barbara, USA (GRID:grid.133342.4) (ISNI:0000 0004 1936 9676) 
4  University of Virginia, Charlottesville, USA (GRID:grid.27755.32) (ISNI:0000 0000 9136 933X) 
5  Carnegie Mellon University, Pittsburgh, USA (GRID:grid.147455.6) (ISNI:0000 0001 2097 0344) 
6  California Institute of Technology, Pasadena, USA (GRID:grid.20861.3d) (ISNI:0000 0001 0706 8890) 
7  University of Minnesota, Minneapolis, USA (GRID:grid.17635.36) (ISNI:0000 0004 1936 8657) 
8  Fermi National Accelerator Laboratory, Batavia, USA (GRID:grid.417851.e) (ISNI:0000 0001 0675 0679) 
9  Texas Tech University, Lubbock, USA (GRID:grid.264784.b) (ISNI:0000 0001 2186 7496) 
10  Stanford University, Menlo Park, USA (GRID:grid.168010.e) (ISNI:0000 0004 1936 8956) 
Pages
92
Publication year
2023
Publication date
Dec 2023
Publisher
Springer Nature B.V.
e-ISSN
10298479
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1007/JHEP12(2023)092
ProQuest document ID
2910044822
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.