Dark matter daily modulation with anisotropic organic crystals

Carlos Blanco, Yonatan Kahn, Benjamin Lillard, Samuel D. McDermott

Research output: Contribution to journalArticlepeer-review


Aromatic organic compounds, because of their small excitation energies ∼O(few eV) and scintillating properties, are promising targets for detecting dark matter of mass ∼O(few MeV). Additionally, their planar molecular structures lead to large anisotropies in the electronic wave functions, yielding a significant daily modulation in the event rate expected to be observed in crystals of these molecules. We characterize the daily modulation rate of dark matter interacting with an anisotropic scintillating organic crystal such as trans-stilbene, and show that daily modulation is an ∼O(1) fraction of the total rate for small DM masses and comparable to, or larger than, the ∼10% annual modulation fraction at large DM masses. As we discuss in detail, this modulation provides significant leverage for detecting or excluding dark matter scattering, even in the presence of a non-negligible background rate. Assuming a nonmodulating background rate of 1/min/kg that scales with total exposure, we find that a 100 kg·yr experiment is sensitive to the cross section corresponding to the correct relic density for dark matter masses between 1.3-14 MeV (1.5-1000 MeV) if dark matter interacts via a heavy (light) mediator. This modulation can be understood using an effective velocity scale v∗=ΔE/q∗, where ΔE is the electronic transition energy and q∗ is a characteristic momentum scale of the electronic orbitals. We also characterize promising future directions for the development of scintillating organic crystals as dark matter detectors.

Original languageEnglish (US)
Article number036011
JournalPhysical Review D
Issue number3
StatePublished - Aug 1 2021

ASJC Scopus subject areas

  • Physics and Astronomy (miscellaneous)


Dive into the research topics of 'Dark matter daily modulation with anisotropic organic crystals'. Together they form a unique fingerprint.

Cite this