17 citations · 26 across the 8 of their papers we have counts for
8 papers
High-dimensional inference for the -ray sky with differentiable programming
Siddharth Mishra-Sharma, Tracy R. Slatyer, Yitian Sun +1
We motivate the use of differentiable probabilistic programming techniques in order to account for the large model-space inherent to astrophysical -ray analyses. Targeting the l…
Constraining inhomogeneous energy injection from annihilating dark matter and primordial black holes with 21-cm cosmology
Yitian Sun, Joshua W. Foster, Julian B. Muñoz
The cosmic dawn 21-cm signal is a highly sensitive probe of any process which injects energy into the intergalactic medium, enabling novel searches for anomalous energy injection b…
Searching for axion dark matter gegenschein of the Vela supernova remnant with FAST
Wenxiu Yang, Yitian Sun, Yougang Wang +7
Axions are one of the leading dark matter candidates. If we are embedded in a Milky Way dark matter halo comprised of axions, their stimulated decay would enable us to observe a co…
Inferring the Morphology of the Galactic Center Excess with Gaussian Processes
Edward D. Ramirez, Yitian Sun, Matthew R. Buckley +2
Descriptions of the Galactic Center using Fermi gamma-ray data have so far modeled the Galactic Center Excess (GCE) as a template with fixed spatial morphology or as a linear combi…
Inhomogeneous Energy Injection in the 21-cm Power Spectrum: Sensitivity to Dark Matter Decay
Yitian Sun, Joshua W. Foster, Hongwan Liu +2
The 21-cm signal provides a novel avenue to measure the thermal state of the universe during cosmic dawn and reionization (redshifts ), and thus to probe energy injecti…
Looking in the axion mirror: An all-sky analysis of stimulated decay
Yitian Sun, Katelin Schutz, Harper Sewalls +2
Axion dark matter (DM) produces echo images of bright radio sources via stimulated decay. These images appear as a faint radio line centered at half the axion mass, with the line w…
Modeling early-universe energy injection with Dense Neural Networks
Yitian Sun, Tracy R. Slatyer
We show that Dense Neural Networks can be used to accurately model the cooling of high-energy particles in the early universe, in the context of the public code package DarkHistory…
Axion dark matter-induced echo of supernova remnants
Yitian Sun, Katelin Schutz, Anjali Nambrath +2
Axions are a theoretically promising dark matter (DM) candidate. In the presence of radiation from bright astrophysical sources at radio frequencies, nonrelativistic DM axions can…