LEADER 03743nam 22006855 450 001 9910254611603321 005 20200704023023.0 010 $a3-319-26263-7 024 7 $a10.1007/978-3-319-26263-5 035 $a(CKB)3710000000539298 035 $a(EBL)4199830 035 $a(SSID)ssj0001597221 035 $a(PQKBManifestationID)16296613 035 $a(PQKBTitleCode)TC0001597221 035 $a(PQKBWorkID)14885206 035 $a(PQKB)10008133 035 $a(DE-He213)978-3-319-26263-5 035 $a(MiAaPQ)EBC4199830 035 $a(PPN)190886757 035 $a(EXLCZ)993710000000539298 100 $a20151215d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDiffuse Radio Foregrounds $eAll-Sky Polarisation, and Anomalous Microwave Emission /$fby Matias Vidal Navarro 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (231 p.) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 300 $a"Doctoral Thesis accepted by the University of Manchester, UK." 311 $a3-319-26262-9 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIntroduction -- Analysis Techniques for WMAP Polarisation data -- WMAP Polarised Filaments -- QUIET Galactic Observations -- AME in LDN1780 -- Conclusions and Future Work. 330 $aThis extensive thesis work covers several topics, including intensity and polarization, focusing on a new polarization bias reduction method. Vidal studied data from the WMAP satellite, which is low signal-to-noise and as such has to be corrected for polarization bias. He presents a new method for correcting the data, based on knowledge of the underlying angle of polarization. Using this novel method, he sets upper limits for the polarization fraction of regions known to emit significant amounts of spinning dust emissions. He also studies the large-scale loops and filaments that dominate the synchrotron sky. The dominant features are investigated, including identification of several new features. For the North Polar Spur, a model of an expanding shell in the vicinity of the Sun is tested, which appears to fit the data. Implications for CMB polarization surveys are also discussed. In addition, Vidal presents interferometric observations of the dark cloud LDN 1780 at 31 GHz and shows that the spinning dust hypothesis can explain the radio properties observed. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aCosmology 606 $aObservations, Astronomical 606 $aAstronomy?Observations 606 $aAstrophysics 606 $aCosmology$3https://scigraph.springernature.com/ontologies/product-market-codes/P22049 606 $aAstronomy, Observations and Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/P22014 606 $aAstrophysics and Astroparticles$3https://scigraph.springernature.com/ontologies/product-market-codes/P22022 615 0$aCosmology. 615 0$aObservations, Astronomical. 615 0$aAstronomy?Observations. 615 0$aAstrophysics. 615 14$aCosmology. 615 24$aAstronomy, Observations and Techniques. 615 24$aAstrophysics and Astroparticles. 676 $a523.1 700 $aVidal Navarro$b Matias$4aut$4http://id.loc.gov/vocabulary/relators/aut$0803801 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254611603321 996 $aDiffuse Radio Foregrounds$92509816 997 $aUNINA