Imperial College London


Faculty of Natural SciencesDepartment of Physics

Professor of Astrostatistics; CLCC Director



+44 (0)20 7594 7793r.trotta Website CV




Mrs Sheila Ekudo +44 (0)20 7594 2086




1009Blackett LaboratorySouth Kensington Campus






BibTex format

author = {Pato, M and Strigari, LE and Trotta, R and Bertone, G},
doi = {02/041},
journal = {Journal of Cosmology and Astroparticle Physics},
title = {Taming astrophysical bias in direct dark matter searches},
url = {},
volume = {2013},
year = {2013}

RIS format (EndNote, RefMan)

AB - We explore systematic biases in the identification of dark matter in future direct detection experiments and compare the reconstructed dark matter properties when assuming a self-consistent dark matter distribution function and the standard Maxwellian velocity distribution. We find that the systematic bias on the dark matter mass and cross-section determination arising from wrong assumptions for its distribution function is of order ~ 1σ. A much larger systematic bias can arise if wrong assumptions are made on the underlying Milky Way mass model. However, in both cases the bias is substantially mitigated by marginalizing over galactic model parameters. We additionally show that the velocity distribution can be reconstructed in an unbiased manner for typical dark matter parameters. Our results highlight both the robustness of the dark matter mass and cross-section determination using the standard Maxwellian velocity distribution and the importance of accounting for astrophysical uncertainties in a statistically consistent fashion.
AU - Pato,M
AU - Strigari,LE
AU - Trotta,R
AU - Bertone,G
DO - 02/041
PY - 2013///
SN - 1475-7516
TI - Taming astrophysical bias in direct dark matter searches
T2 - Journal of Cosmology and Astroparticle Physics
UR -
UR -
VL - 2013
ER -