512 citations · 3.6k across the 74 of their papers we have counts for
8 papers · 1 filter
Limits from the grave: resurrecting Hitomi for decaying dark matter and forecasting leading sensitivity for XRISM
Christopher Dessert, Orion Ning, Nicholas L. Rodd +1
The Hitomi X-ray satellite mission carried unique high-resolution spectrometers that were set to revolutionize the search for sterile neutrino dark matter (DM) by looking for narro…
A deep search for decaying dark matter with XMM-Newton blank-sky observations
Joshua W. Foster, Marius Kongsore, Christopher Dessert +4
Sterile neutrinos with masses in the keV range are well-motivated extensions to the Standard Model that could explain the observed neutrino masses while also making up the dark mat…
Technical comment on the paper of Dessert et al. "The dark matter interpretation of the 3.5 keV line is inconsistent with blank-sky observations"
Alexey Boyarsky, Denys Malyshev, Oleg Ruchayskiy +1
An unidentified line at energy around 3.5 keV was detected in the spectra of dark matter-dominated objects. Recent work of Dessert et al. [1812.06976] used 30 Msec of XMM-Newton bl…
Characterizing the Nature of the Unresolved Point Sources in the Galactic Center
Laura J. Chang, Siddharth Mishra-Sharma, Mariangela Lisanti +3
The Galactic Center Excess (GCE) of GeV gamma rays can be explained as a signal of annihilating dark matter or of emission from unresolved astrophysical sources, such as millisecon…
The dark matter interpretation of the 3.5-keV line is inconsistent with blank-sky observations
Christopher Dessert, Nicholas L. Rodd, Benjamin R. Safdi
Observations of nearby galaxies and galaxy clusters have reported an unexpected X-ray emission line around 3.5 kilo-electron volts (keV). Proposals to explain this line include dec…
Revealing the Dark Matter Halo with Axion Direct Detection
Joshua W. Foster, Nicholas L. Rodd, Benjamin R. Safdi
The next generation of axion direct detection experiments may rule out or confirm axions as the dominant source of dark matter. We develop a general likelihood-based framework for…