Publications

A list of selected recent papers may be found below. A full list of publications may be found on INSPIRE or ADS.

Statistical Detection of Dark Matter Substructure

The distribution of matter on small scales contains a wealth of information about the underlying particle physics and nature of dark matter. A common theme in my research has been leveraging the collective, statistical effect of a large number of small dark matter structures—subhalos—in various astrophysical systems in order to extract this information.

2020

  1. The Power of Halometry
    Mishra-Sharma, S., Van Tilburg, K., and Weiner, N.
    Phys. Rev. D, 2020

2019

  1. Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning
    Brehmer, J., Mishra-Sharma, S., Hermans, J., Louppe, G., and Cranmer, K.
    Astrophys. J., 2019

Cosmological Implications of Dark Photons

The existence of dark photons—a well-motivated extension of the Standard Model of particle physics—would leave a characteristic imprint in current and upcoming cosmological observations. I have recently explored new ways to look for signatures of dark photons in measurements of the Cosmic Microwave Background and the 21-cm line emission intensity.

2020

  1. Edges and Endpoints in 21-cm Observations from Resonant Photon Production
    Caputo, A., Liu, H., Mishra-Sharma, S., Pospelov, M., Ruderman, J.T., and Urbano, A.
    arXiv preprint, 2020
  2. Modeling Dark Photon Oscillations in Our Inhomogeneous Universe
    Caputo, A., Liu, H., Mishra-Sharma, S., and Ruderman, J.T.
    Phys. Rev. D, 2020
  3. Dark Photon Oscillations in Our Inhomogeneous Universe
    Caputo, A., Liu, H., Mishra-Sharma, S., and Ruderman, J.T.
    Phys. Rev. Lett., 2020

Indirect Searches for Dark Matter

Signatures of non-minimal interaction between the standard and dark sectors can show up in a variety of astrophysical systems, with Weakly Interacting Massive Particle (WIMP) dark matter in particular producing observable signals in gamma rays. I am interested in developing new methods and search strategies to look for such signatures in gamma-ray data, using targets both in the Milky Way and beyond.

2020

  1. Semi-parametric γ-ray modeling with Gaussian processes and variational inference
    Mishra-Sharma, S., and Cranmer, K.
    Machine Learning and the Physical Sciences Workshop at NeurIPS 2020, 2020
  2. Harnessing the Population Statistics of Subhalos to Search for Annihilating Dark Matter
    Somalwar, J.J., Chang, L.J., Mishra-Sharma, S., and Lisanti, M.
    Astrophys. J., 2020
  3. Foreground Mismodeling and the Point Source Explanation of the Fermi Galactic Center Excess
    Buschmann, M., Rodd, N.L., Safdi, B.R., Chang, L.J., Mishra-Sharma, S., Lisanti, M., and Macias, O.
    Phys. Rev. D, 2020
  4. Characterizing the nature of the unresolved point sources in the Galactic Center: An assessment of systematic uncertainties
    Chang, L.J., Mishra-Sharma, S., Lisanti, M., Buschmann, M., Rodd, N.L., and Safdi, B.R.
    Phys. Rev. D, 2020

2018

  1. Search for dark matter annihilation in the Milky Way halo
    Chang, L.J., Lisanti, M., and Mishra-Sharma, S.
    Phys. Rev. D, 2018
  2. Mapping Extragalactic Dark Matter Annihilation with Galaxy Surveys: A Systematic Study of Stacked Group Searches
    Lisanti, M., Mishra-Sharma, S., Rodd, N.L., Safdi, B.R., and Wechsler, R.H.
    Phys. Rev. D, 2018
  3. Search for Dark Matter Annihilation in Galaxy Groups
    Lisanti, M., Mishra-Sharma, S., Rodd, N.L., and Safdi, B.R.
    Phys. Rev. Lett., 2018

2017

  1. NPTFit: A code package for Non-Poissonian Template Fitting
    Mishra-Sharma, S., Rodd, N.L., and Safdi, B.R.
    Astron. J., 2017