Deep-learning top taggers or the end of QCD?
Machine learning based on convolutional neural networks can be used to study jet images from the LHC. Top tagging in fat jets offers a well-defined framework to establish our DeepTop approach and compare its performance to QCD-based top taggers. We first optimize a network architecture to identify t...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Dokumenttyp: | Article (Journal) Kapitel/Artikel |
| Sprache: | Englisch |
| Veröffentlicht: |
16 May 2017
|
| In: |
Arxiv
|
| Online-Zugang: | Verlag, kostenfrei, Volltext: http://arxiv.org/abs/1701.08784
|
| Verfasserangaben: | Gregor Kasieczka, Tilman Plehn, Michael Russell, Torben Schell |
MARC
| LEADER | 00000caa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1562315404 | ||
| 003 | DE-627 | ||
| 005 | 20220813211156.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 170810s2017 xx |||||o 00| ||eng c | ||
| 035 | |a (DE-627)1562315404 | ||
| 035 | |a (DE-576)49231540X | ||
| 035 | |a (DE-599)BSZ49231540X | ||
| 035 | |a (OCoLC)1340978310 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 29 |2 sdnb | ||
| 100 | 1 | |a Kasieczka, Gregor |e VerfasserIn |0 (DE-588)1028086423 |0 (DE-627)730329607 |0 (DE-576)375613390 |4 aut | |
| 245 | 1 | 0 | |a Deep-learning top taggers or the end of QCD? |c Gregor Kasieczka, Tilman Plehn, Michael Russell, Torben Schell |
| 264 | 1 | |c 16 May 2017 | |
| 300 | |a 23 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Gesehen am 10.08.2017 | ||
| 520 | |a Machine learning based on convolutional neural networks can be used to study jet images from the LHC. Top tagging in fat jets offers a well-defined framework to establish our DeepTop approach and compare its performance to QCD-based top taggers. We first optimize a network architecture to identify top quarks in Monte Carlo simulations of the Standard Model production channel. Using standard fat jets we then compare its performance to a multivariate QCD-based top tagger. We find that both approaches lead to comparable performance, establishing convolutional networks as a promising new approach for multivariate hypothesis-based top tagging. | ||
| 650 | 4 | |a High Energy Physics - Phenomenology | |
| 700 | 1 | |a Plehn, Tilman |d 1969- |e VerfasserIn |0 (DE-588)1021935573 |0 (DE-627)715839535 |0 (DE-576)363449809 |4 aut | |
| 700 | 1 | |a Schell, Torben |d 1988- |e VerfasserIn |0 (DE-588)107086529X |0 (DE-627)824647939 |0 (DE-576)432761195 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Arxiv |d Ithaca, NY : Cornell University, 1991 |g (2017) Artikel-Nummer 1701.08784, 23 Seiten |h Online-Ressource |w (DE-627)509006531 |w (DE-600)2225896-6 |w (DE-576)28130436X |7 nnas |a Deep-learning top taggers or the end of QCD? |
| 773 | 1 | 8 | |g year:2017 |g extent:23 |a Deep-learning top taggers or the end of QCD? |
| 856 | 4 | 0 | |u http://arxiv.org/abs/1701.08784 |q application/pdf |x Verlag |z kostenfrei |3 Volltext |
| 856 | 4 | 0 | |u http://arxiv.org/abs/1701.08784 |x Verlag |z kostenfrei |3 Volltext |
| 951 | |a AR | ||
| 992 | |a 20170810 | ||
| 993 | |a Article | ||
| 994 | |a 2017 | ||
| 998 | |g 107086529X |a Schell, Torben |m 107086529X:Schell, Torben |d 130000 |d 130300 |e 130000PS107086529X |e 130300PS107086529X |k 0/130000/ |k 1/130000/130300/ |p 4 |y j | ||
| 998 | |g 1021935573 |a Plehn, Tilman |m 1021935573:Plehn, Tilman |d 130000 |d 130300 |e 130000PP1021935573 |e 130300PP1021935573 |k 0/130000/ |k 1/130000/130300/ |p 2 | ||
| 998 | |g 1028086423 |a Kasieczka, Gregor |m 1028086423:Kasieczka, Gregor |p 1 |x j | ||
| 999 | |a KXP-PPN1562315404 |e 297730424X | ||
| BIB | |a Y | ||
| JSO | |a {"physDesc":[{"extent":"23 S."}],"relHost":[{"physDesc":[{"extent":"Online-Ressource"}],"origin":[{"publisherPlace":"Ithaca, NY ; [Erscheinungsort nicht ermittelbar]","dateIssuedKey":"1991","publisher":"Cornell University ; Arxiv.org","dateIssuedDisp":"1991-"}],"id":{"zdb":["2225896-6"],"eki":["509006531"]},"note":["Gesehen am 28.05.2024"],"disp":"Deep-learning top taggers or the end of QCD?Arxiv","type":{"bibl":"edited-book","media":"Online-Ressource"},"language":["eng"],"recId":"509006531","pubHistory":["1991 -"],"part":{"year":"2017","extent":"23","text":"(2017) Artikel-Nummer 1701.08784, 23 Seiten"},"titleAlt":[{"title":"Arxiv.org"},{"title":"Arxiv.org e-print archive"},{"title":"Arxiv e-print archive"},{"title":"De.arxiv.org"}],"title":[{"title_sort":"Arxiv","title":"Arxiv"}]}],"origin":[{"dateIssuedKey":"2017","dateIssuedDisp":"16 May 2017"}],"id":{"eki":["1562315404"]},"name":{"displayForm":["Gregor Kasieczka, Tilman Plehn, Michael Russell, Torben Schell"]},"note":["Gesehen am 10.08.2017"],"type":{"media":"Online-Ressource","bibl":"chapter"},"language":["eng"],"recId":"1562315404","title":[{"title_sort":"Deep-learning top taggers or the end of QCD?","title":"Deep-learning top taggers or the end of QCD?"}],"person":[{"family":"Kasieczka","given":"Gregor","display":"Kasieczka, Gregor","roleDisplay":"VerfasserIn","role":"aut"},{"role":"aut","display":"Plehn, Tilman","roleDisplay":"VerfasserIn","given":"Tilman","family":"Plehn"},{"role":"aut","display":"Schell, Torben","roleDisplay":"VerfasserIn","given":"Torben","family":"Schell"}]} | ||
| SRT | |a KASIECZKAGDEEPLEARNI1620 | ||