000202010 001__ 202010
000202010 005__ 20190619023654.0
000202010 0247_ $$2doi$$a10.5075/epfl-thesis-6351
000202010 02470 $$2urn$$aurn:nbn:ch:bel-epfl-thesis6351-1
000202010 02471 $$2nebis$$a10248176
000202010 037__ $$aTHESIS
000202010 041__ $$aeng
000202010 088__ $$a6351
000202010 245__ $$aNeutrino and Dark Matter Properties from Cosmological Observations
000202010 269__ $$a2014
000202010 260__ $$bEPFL$$c2014$$aLausanne
000202010 336__ $$aTheses
000202010 502__ $$aProf. O. Schneider (président) ; Dr J. Lesgourgues (directeur) ; Prof. R. Durrer,  Dr A.M. Rassat,  Dr M. Viel (rapporteurs)
000202010 520__ $$aWe apply the principles of Bayesian statistics to the main probes of cosmology, in order to refine our knowledge of the Standard Model and possibly extend it. Notably, we investigate the basic elements of the model in detail in order to reinforce this basic foundation of the field, and lay down a systematic way of obtaining model-independent constraints on parts of the Standard Model. We further try to constrain some of the unknown properties of Dark Matter, namely its decay or annihilation rates, to help reducing the range of possibilities for model builders. By using recent cosmological probes and making as little assumptions as possible, we are able to meaningfully constrain these properties in the prospect of narrowing down a particle physics search. Eventually, we show how future experiments will be able to put strong bounds on the neutrino total mass, as long as the theoretical uncertainty is handled carefully. Despite being cautiously pessimistic, we prove how EUCLID will be able to detect even the lowest possible allowed neutrino mass, by simply using properly the linear scales. We also show the target precision for the theoretical prediction in order to make full use of the forthcoming wealth of data at mildly non-linear scales.
000202010 6531_ $$acosmology
000202010 6531_ $$aneutrino
000202010 6531_ $$adark matter
000202010 6531_ $$aparameter extraction
000202010 6531_ $$aCMB physics
000202010 700__ $$0244538$$g203646$$aAudren, Benjamin
000202010 720_2 $$aLesgourgues, Julien$$edir.$$g184699$$0244363
000202010 8564_ $$uhttps://infoscience.epfl.ch/record/202010/files/EPFL_TH6351.pdf$$zn/a$$s44547264$$yn/a
000202010 909C0 $$xU10869$$0252301$$pLPPC
000202010 909CO $$pthesis-public$$pDOI$$pSB$$ooai:infoscience.tind.io:202010$$qGLOBAL_SET$$pthesis$$pthesis-bn2018$$qDOI2
000202010 917Z8 $$x108898
000202010 917Z8 $$x108898
000202010 918__ $$dEDPY$$cITP$$aSB
000202010 919__ $$aLPPC
000202010 920__ $$b2014$$a2014-10-3
000202010 970__ $$a6351/THESES
000202010 973__ $$sPUBLISHED$$aEPFL
000202010 980__ $$aTHESIS