Mo r e f u n w i t h j e t s Mo r e f u n w i t - PowerPoint PPT Presentation

Mo r e f u n w i t h j e t s Mo r e f u n w i t h j e t s E v a B r o tu tu m a n n H a n s e n E v a B r o tu tu m a n n H a n s e n D o k t o r a n d d a g D o k t o r a n d d a g 1 9 . J u n e 2 0 1 8 1 9 . J u n e 2 0 1 8 Doktoranddag June 19, 2018 Eva Hansen 1

Quick overview • 1 . 7 5 y e a r s i n t o m y P h D • M a i n t h e m e : D a r k m a tu e r s e a r c h e s w i t h j e t fj n a l s t a t e s i n A T L A S • S i n c e l a s t D - d a y : M o s t l y p e r f o r m a n c e a n d u p g r a d e w o r k • F r o m ~ n o w : M o s t l y a n a l y s i s a n d u p g r a d e w o r k ( H o p e f u l l y ) Doktoranddag June 19, 2018 Eva Hansen 2

Performance In-situ combination - 1 I n - s i t u m e t h o d s a r e u s e d t o c o n s t r a i n ● d i s c r e p a n c i e s i n j e t r e s p o n s e b e t w e e n d a t a Z γ a n d M C J E S : p T b a l a n c e o f j e t a g a i n s t a w e l l ● c a l i b r a t e d o b j e c t J M S : T r a c k j e t s a n d t o p / W e v e n t s ● Z + j e t γ + j e t M u l t i - j e t • O n l y d o n e f o r l a r g e - R j e t s M y j o b : C o m b i n e t h e m e a s u r e m e n t s t o c o v e r ● m o r e p h a s e s p a c e C u r r e n t l y w o r k i n g o n a p a p e r o n l a r g e - R i n - ● s i t u c a l i b r a t i o n L a t e s t a n d g r e a t e s t r e c o m m e n d a t i o n s f o r ● s m a l l - R j e t s s c h e d u l e d t o b e c o m p l e t e d t h i s s u m m e r Doktoranddag June 19, 2018 Eva Hansen 3

Performance In-situ combination - 2 • We h a v e s e e n t h a t h i g h - s t a t i s t i c s m a k e s a n a l y s e s s e n s i t i v e t o s t r u c t u r e s i n t h e j e t c a l i b r a t i o n • A n a l t e r n a t i v e c o m b i n a t i o n p r o c e d u r e w a s d e v e l o p e d a n d u s e d f o r t h e D i j e t t r i g g e r l e v e l a n a l y s i s w h i c h e n s u r e s a s m o o t h c a l i b r a t i o n c u r v e • C o m b i n a t i o n p r o c e d u r e b a s e d o n a p o l y n o m i a l fj t i n s t e a d o f i n t e r p o l a t i n g s p l i n e s Doktoranddag June 19, 2018 Eva Hansen 4

Upgrade General Feature Extractor (gFEX) - 1 ● Module the phase-1 upgrade of the Level 1 Calorimeter Trigger ● Entire η (and φ) range available in one module ● Enables identification of large radius jets and substructure in real time → Capture Lorentz boosted W/Z/Higgs/top → TLA with boosted object ● Other global event variables: ● Missing transverse energy ● Centrality in heavy ion collision ● Event-by-event pile-up energy density → Local pileup suppression using baseline subtraction techniques Doktoranddag June 19, 2018 Eva Hansen 5

Upgrade General Feature Extractor (gFEX) - 2 My job: Control Software ● Prepare for run, configure links, load • from database, etc. Current status: ● “Skeleton” software package based • on L1Topo control software Include few simple methods • Hardware emulators are set up and • ready for testing and development Many specifications still need to be ● determined by firmware engineers Doktoranddag June 19, 2018 Eva Hansen 6

Analysis 4-jets - Motivation Paired dijet resonances are predicted in many SM extensions ● Supersymmetry with R-parity violating (RPV) couplings allows • the lightest supersymmetric particle (LSP) to decay to two jets • Models with Dirac gauginos, additional gluinos • Axigluons, colorons, compositeness, topcolor Naturalness suggests higgsinos and ● top squarks below 1 TeV Top squarks in R-parity conserving ● scenarios have been thoroughly searched for and are ~excluded below 1 TeV Allowing RPV couplings significantly ● relaxes existing bounds on mass Doktoranddag June 19, 2018 Eva Hansen 7

Analysis 4-jets – Results and outlook ● First iteration was published in EPJ C with 2015 data • Focus was on SUSY with RPV couplings allowing the lightest supersymmetric particle to decay to two jets ● Second iteration (Full run-2) is about to start • More model independent • Increase acceptance • Background fit as primary method for background estimation • Fat jets with substructure Doktoranddag June 19, 2018 Eva Hansen 8

Analysis/performance Wavelets for emerging jets Emerging jets are are an interesting ● signature which ~no LHC analyses are currently sensitive to Wavelets might be a model-independent way ● of picking up the structure of such object Very preliminary study of the possibility of ● targeting emerging jets with wavelet techniques was slightly positive More thorough studies indicate wavelets ● might not be efficient Substructure techniques could be more • fruitful Might be a master thesis project ● Doktoranddag June 19, 2018 Eva Hansen 9

Recommendations ● G o t o t h e I n t e r n a t i o n a l S c h o o l o f T r i g g e r a n d D a t a A c q u i s i t i o n ( I S O T D A Q ) , i f y o u a r e i n t e r e s t e d i n T D A Q s o f t w a r e a n d h a r d w a r e ● T e a c h t h e l a b o f I n t r o d u c t i o n t o P a r t i c l e P h y s i c s , i f y o u l i k e t o p l a y w i t h N I M m o d u l e s a n d o s c i l l o s c o p e s a n d w a n t t o k n o w t h e m u o n l i f e t i m e Doktoranddag June 19, 2018 Eva Hansen 10

Back up Doktoranddag June 19, 2018 Eva Hansen 11

Jet calibration chains Anti-kt R=0.4 EM jets Anti-kt R=1.0 LCW jets Doktoranddag June 19, 2018 Eva Hansen 12