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) |
| Sprache: | Englisch |
| Veröffentlicht: |
May 2, 2017
|
| In: |
Journal of high energy physics
Year: 2017, Heft: 5 |
| ISSN: | 1029-8479 |
| DOI: | 10.1007/JHEP05(2017)006 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1007/JHEP05(2017)006 Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/JHEP05(2017)006 
|
| Verfasserangaben: | Gregor Kasieczka, Tilman Plehn, Michael Russell and Torben Schell |
MARC
| LEADER | 00000caa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1562316796 | ||
| 003 | DE-627 | ||
| 005 | 20220813211219.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 170810s2017 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1007/JHEP05(2017)006 |2 doi | |
| 035 | |a (DE-627)1562316796 | ||
| 035 | |a (DE-576)492316791 | ||
| 035 | |a (DE-599)BSZ492316791 | ||
| 035 | |a (OCoLC)1340978405 | ||
| 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 and Torben Schell |
| 264 | 1 | |c May 2, 2017 | |
| 300 | |a 22 | ||
| 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 26.09.2017 | ||
| 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. | ||
| 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 Journal of high energy physics |d Berlin : Springer, 1997 |g (2017,05) Artikel-Nummer 006, 22 Seiten |h Online-Ressource |w (DE-627)320910571 |w (DE-600)2027350-2 |w (DE-576)095428305 |x 1029-8479 |7 nnas |a Deep-learning top taggers or the end of QCD? |
| 773 | 1 | 8 | |g year:2017 |g number:5 |g extent:22 |a Deep-learning top taggers or the end of QCD? |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1007/JHEP05(2017)006 |x Verlag |x Resolving-System |z kostenfrei |3 Volltext |
| 856 | 4 | 0 | |u https://link.springer.com/article/10.1007/JHEP05(2017)006 |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-PPN1562316796 |e 2977306811 | ||
| BIB | |a Y | ||
| SER | |a journal | ||
| JSO | |a {"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"},{"given":"Tilman","family":"Plehn","role":"aut","roleDisplay":"VerfasserIn","display":"Plehn, Tilman"},{"family":"Schell","given":"Torben","roleDisplay":"VerfasserIn","display":"Schell, Torben","role":"aut"}],"note":["Gesehen am 26.09.2017"],"type":{"bibl":"article-journal","media":"Online-Ressource"},"recId":"1562316796","language":["eng"],"origin":[{"dateIssuedDisp":"May 2, 2017","dateIssuedKey":"2017"}],"id":{"eki":["1562316796"],"doi":["10.1007/JHEP05(2017)006"]},"name":{"displayForm":["Gregor Kasieczka, Tilman Plehn, Michael Russell and Torben Schell"]},"physDesc":[{"extent":"22 S."}],"relHost":[{"title":[{"subtitle":"JHEP ; a refereed journal written, run, and distributed by electronic means","title":"Journal of high energy physics","title_sort":"Journal of high energy physics"}],"part":{"year":"2017","issue":"5","text":"(2017,05) Artikel-Nummer 006, 22 Seiten","extent":"22"},"titleAlt":[{"title":"JHEP"}],"pubHistory":["Nachgewiesen 1997 -"],"recId":"320910571","corporate":[{"role":"isb","roleDisplay":"Herausgebendes Organ","display":"Institute of Physics"}],"language":["eng"],"disp":"Deep-learning top taggers or the end of QCD?Journal of high energy physics","note":["Gesehen am 02.12.20"],"type":{"media":"Online-Ressource","bibl":"periodical"},"id":{"issn":["1029-8479"],"zdb":["2027350-2"],"eki":["320910571"]},"origin":[{"dateIssuedDisp":"1997-","dateIssuedKey":"1997","publisher":"Springer ; SISSA ; IOP Publ.","publisherPlace":"Berlin ; Heidelberg ; [Trieste] ; Bristol"}],"physDesc":[{"extent":"Online-Ressource"}]}]} | ||
| SRT | |a KASIECZKAGDEEPLEARNI2201 | ||