Imperial College London

ProfessorRobertoTrotta

Faculty of Natural SciencesDepartment of Physics

Visiting Professor
 
 
 
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Contact

 

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

 
 
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Assistant

 

Mrs Sheila Ekudo +44 (0)20 7594 2086

 
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Location

 

1009Blackett LaboratorySouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Pato:2013:02/041,
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 = {http://dx.doi.org/10.1088/1475-7516/2013/02/041},
volume = {2013},
year = {2013}
}

RIS format (EndNote, RefMan)

TY  - JOUR
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 - http://dx.doi.org/10.1088/1475-7516/2013/02/041
UR - http://hdl.handle.net/10044/1/28632
VL - 2013
ER -