Search results
Results: 14
Number of items: 14
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Coogan, A., Morrison, L., & Profumo, S. (2020). Hazma: A python toolkit for studying indirect detection of sub-GeV dark matter. Journal of Cosmology and Astroparticle Physics, 2020(1), Article 056. https://doi.org/10.1088/1475-7516/2020/01/056 -
Chianese, M., Coogan, A., Hofma, P., Otten, S., & Weniger, C. (2020). Differentiable strong lensing: Uniting gravity and neural nets through differentiable probabilistic programming. Monthly Notices of the Royal Astronomical Society, 496(1), 381-393. https://doi.org/10.1093/mnras/staa1477
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Coogan, A., Lehmann, B. V., & Profumo, S. (2019). Connecting direct and indirect detection with a dark spike in the cosmic-ray electron spectrum. Journal of Cosmology and Astroparticle Physics, 2019(10), Article 063. https://doi.org/10.1088/1475-7516/2019/10/063
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Bertone, G., Coogan, A. M., Gaggero, D., Kavanagh, B. J., & Weniger, C. (2019). Primordial black holes as silver bullets for new physics at the weak scale. Physical Review D, 100(12), Article 123013. https://doi.org/10.1103/PhysRevD.100.123013
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