LEADER 02113oam 2200457Ka 450 001 9910698374403321 005 20071126101905.0 035 $a(CKB)4330000001770003 035 $a(OCoLC)156915874 035 $a(EXLCZ)994330000001770003 100 $a20070723d1998 uy 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAtmospheric photochemistry studies of pollutant emissions from transportation vehicles operating on alternative fuels$b[electronic resource] /$fH. Jeffries, K. Sexton, and J. Yu, University of North Carolina 210 1$aGolden, Colo. :$cNational Renewable Energy Laboratory,$d[1998] 215 $axii, 298 pages $cdigital, PDF file 225 1 $aNREL/SR ;$v540-21426 300 $aTitle from title screen (viewed November 26, 2007). 300 $a"July 1998." 330 3 $aThis project was undertaken with the goal of improving our ability to predict the changes in urban ozone resulting from the widespread use of alternative fuels in automobiles. This report presents the results in detail. It is clear that no single approach is adequate for determining the potential atmospheric benefits of alternative fuel use: both experimental and modeling studies are needed. In addition, fundamental advances are needed to improve scientific understanding of reactivity. 606 $aAtmospheric ozone 606 $aAutomobiles$xMotors$xExhaust gas 606 $aAir$xPollution$xMeasurement 615 0$aAtmospheric ozone. 615 0$aAutomobiles$xMotors$xExhaust gas. 615 0$aAir$xPollution$xMeasurement. 700 $aJeffries$b H. E$01420153 701 $aSexton$b K. G$01421828 701 $aYu$b J$01421829 712 02$aNational Renewable Energy Laboratory (U.S.) 801 0$bSOE 801 1$bSOE 801 2$bSOE 801 2$bGPO 906 $aBOOK 912 $a9910698374403321 996 $aAtmospheric photochemistry studies of pollutant emissions from transportation vehicles operating on alternative fuels$93544199 997 $aUNINA LEADER 02015nam0 22004453i 450 001 VAN00283812 005 20250722113916.434 017 70$2N$a9783030902063 100 $a20241209d2022 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 181 $ai$b e 182 $ab 183 $acr 200 1 $aSearch for the Higgs Boson Produced in Association with Top Quarks with the CMS Detector at the LHC$eDoctoral Thesis accepted by Institut Polytechnique de Paris, France$fCristina Martin Perez 210 $aCham$cSpringer$d2022 215 $axiii, 283 p.$cill.$d24 cm 410 1$1001VAN00104193$12001 $aSpringer theses$erecognizing outstanding Ph.D. research$1210 $aBerlin$cSpringer$d2010- 606 $a68Txx$xArtificial intelligence [MSC 2020]$3VANC021266$2MF 606 $a81Txx$xQuantum field theory; related classical field theories [MSC 2020]$3VANC027580$2MF 606 $a81V35$xNuclear physics [MSC 2020]$3VANC023270$2MF 610 $aHiggs Boson$9KW:K 610 $aLarge Hadron Collider$9KW:K 610 $aMachine learning$9KW:K 610 $aMatrix Element Method$9KW:K 610 $aTau Lepton$9KW:K 610 $aTop Quarks$9KW:K 610 $aTrigger optimization$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aMartin Perez$bCristina$3VANV237413$01194298 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20250725$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-030-90206-3$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00283812 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-Book 10060 $e08eMF10060 20241219 996 $aSearch for the Higgs Boson Produced in Association with Top Quarks with the CMS Detector at the LHC$92762680 997 $aUNICAMPANIA