@article{Tumasyan:2023:10.1103/PhysRevD.108.052002,
author = {Tumasyan, A and Adam, W and Andrejkovic, JW and Bergauer, T and Chatterjee, S and Damanakis, K and Dragicevic, M and Del, Valle AE and Frühwirth, R and Jeitler, M and Krammer, N and Lechner, L and Liko, D and Mikulec, I and Paulitsch, P and Pitters, FM and Schieck, J and Schöfbeck, R and Schwarz, D and Templ, S and Waltenberger, W and Wulz, CE and Darwish, MR and De, Wolf EA and Janssen, T and Kello, T and Lelek, A and Sfar, HR and Van, Mechelen P and Van, Putte S and Van, Remortel N and Bols, ES and DHondt, J and De, Moor A and Delcourt, M and Faham, HE and Lowette, S and Moortgat, S and Morton, A and Müller, D and Sahasransu, AR and Tavernier, S and Van, Doninck W and Vannerom, D and Beghin, D and Clerbaux, B and De, Lentdecker G and Favart, L and Lee, K and Mahdavikhorrami, M and Makarenko, I and Paredes, S and Pétré, L and Popov, A and Postiau, N and Starling, E and Thomas, L and Vanden, Bemden M and Vander, Velde C and Vanlaer, P and Dobur, D and Knolle, J and Lambrecht, L and Mes},
doi = {10.1103/PhysRevD.108.052002},
journal = {Physical Review D},
title = {Reconstruction of decays to merged photons using end-to-end deep learning with domain continuation in the CMS detector},
url = {http://dx.doi.org/10.1103/PhysRevD.108.052002},
volume = {108},
year = {2023}
}

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TY  - JOUR
AB  - A novel technique based on machine learning is introduced to reconstruct the decays of highly Lorentz-boosted particles. Using an end-to-end deep learning strategy, the technique bypasses existing rule-based particle reconstruction methods typically used in high energy physics analyses. It uses minimally processed detector data as input and directly outputs particle properties of interest. The new technique is demonstrated for the reconstruction of the invariant mass of particles decaying in the CMS detector. The decay of a hypothetical scalar particle Formula Presented into two photons, Formula Presented, is chosen as a benchmark decay. Lorentz boosts Formula Presented are considered, ranging from regimes where both photons are resolved to those where the photons are closely merged as one object. A training method using domain continuation is introduced, enabling the invariant mass reconstruction of unresolved photon pairs in a novel way. The new technique is validated using Formula Presented decays in LHC collision data.
AU  - Tumasyan,A
AU  - Adam,W
AU  - Andrejkovic,JW
AU  - Bergauer,T
AU  - Chatterjee,S
AU  - Damanakis,K
AU  - Dragicevic,M
AU  - Del,Valle AE
AU  - Frühwirth,R
AU  - Jeitler,M
AU  - Krammer,N
AU  - Lechner,L
AU  - Liko,D
AU  - Mikulec,I
AU  - Paulitsch,P
AU  - Pitters,FM
AU  - Schieck,J
AU  - Schöfbeck,R
AU  - Schwarz,D
AU  - Templ,S
AU  - Waltenberger,W
AU  - Wulz,CE
AU  - Darwish,MR
AU  - De,Wolf EA
AU  - Janssen,T
AU  - Kello,T
AU  - Lelek,A
AU  - Sfar,HR
AU  - Van,Mechelen P
AU  - Van,Putte S
AU  - Van,Remortel N
AU  - Bols,ES
AU  - DHondt,J
AU  - De,Moor A
AU  - Delcourt,M
AU  - Faham,HE
AU  - Lowette,S
AU  - Moortgat,S
AU  - Morton,A
AU  - Müller,D
AU  - Sahasransu,AR
AU  - Tavernier,S
AU  - Van,Doninck W
AU  - Vannerom,D
AU  - Beghin,D
AU  - Clerbaux,B
AU  - De,Lentdecker G
AU  - Favart,L
AU  - Lee,K
AU  - Mahdavikhorrami,M
AU  - Makarenko,I
AU  - Paredes,S
AU  - Pétré,L
AU  - Popov,A
AU  - Postiau,N
AU  - Starling,E
AU  - Thomas,L
AU  - Vanden,Bemden M
AU  - Vander,Velde C
AU  - Vanlaer,P
AU  - Dobur,D
AU  - Knolle,J
AU  - Lambrecht,L
AU  - Mestdach,G
AU  - Niedziela,M
AU  - Rendón,C
AU  - Roskas,C
AU  - Samalan,A
AU  - Skovpen,K
AU  - Tytgat,M
AU  - Van,Den Bossche N
AU  - Vermassen,B
AU  - Wezenbeek,L
AU  - Benecke,A
AU  - Bethani,A
AU  - Bruno,G
AU  - Bury,F
AU  - Caputo,C
AU  - David,P
AU  - Delaere,C
AU  - Donertas,IS
AU  - Giammanco,A
AU  - Jaffel,K
AU  - Jain,S
AU  - Lemaitre,V
AU  - Mondal,K
AU  - Prisciandaro,J
AU  - Taliercio,A
AU  - Tran,TT
AU  - Vischia,P
AU  - Wertz,S
AU  - Alves,GA
AU  - Hensel,C
AU  - Moraes,A
AU  - Teles,PR
AU  - Júnior,WLA
AU  - Pereira,MAG
AU  - Filho,MBF
AU  - Malbouisson,HB
AU  - Carvalho,W
DO  - 10.1103/PhysRevD.108.052002
PY  - 2023///
SN  - 2470-0010
TI  - Reconstruction of decays to merged photons using end-to-end deep learning with domain continuation in the CMS detector
T2  - Physical Review D
UR  - http://dx.doi.org/10.1103/PhysRevD.108.052002
VL  - 108
ER  - 

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