Abstract
We perform maximum likelihood estimates for single and double flavor ultralight dark matter (ULDM) models using the Spitzer Photometry and Accurate Rotation Curves database. These estimates are compared to maximum likelihood estimates for several commonly used cold dark matter (CDM) models. By comparing various CDM models we find, in agreement with previous studies, that the Burkert and Einasto models tend to perform better than other commonly used CDM models. We focus on comparisons between the Einasto and ULDM models and analyze cases for which the ULDM particle masses are fixed or free to vary. For each of these analyses, we perform fits assuming the soliton and halo density profiles are summed together or matched at a given radius. Letting the particle masses vary and assuming the summed models, we find a negligible preference for any particular range of particle masses within . For the matched models, we find that almost all galaxies prefer particle masses in the range . For both double flavor models we find that most galaxies prefer approximately equal particle masses. Fixing the particle masses, we find the best fit results for the particle mass , assuming the single flavor models, and , , assuming the double flavor, matched model.
18 More- Received 15 April 2022
- Accepted 25 July 2022
DOI:https://doi.org/10.1103/PhysRevD.106.043007
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