Journal
PHYSICAL REVIEW LETTERS
Volume 125, Issue 13, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevLett.125.131801
Keywords
-
Categories
Funding
- ANPCyT, Argentina
- YerPhI, Armenia
- ARC, Australia
- BMWFW, Austria
- FWF, Austria
- ANAS, Azerbaijan
- SSTC, Belarus
- CNPq, Brazil
- FAPESP, Brazil
- NSERC, Canada
- NRC, Canada
- CERN
- CONICYT, Chile
- CAS, China
- MOST, China
- NSFC, China
- COLCIENCIAS, Colombia
- MSMT CR, Czech Republic
- MPO CR, Czech Republic
- VSC CR, Czech Republic
- DNRF, Denmark
- DNSRC, Denmark
- IN2P3-CNRS, France
- CEA-DRF/IRFU, France
- SRNSFG, Georgia
- BMBF, Germany
- HGF, Germany
- MPG, Germany
- GSRT, Greece
- RGC, China
- Hong Kong SAR, China
- ISF, Israel
- Benoziyo Center, Israel
- INFN, Italy
- MEXT, Japan
- JSPS, Japan
- CNRST, Morocco
- NWO, Netherlands
- RCN, Norway
- MNiSW, Poland
- NCN, Poland
- FCT, Portugal
- MNE/IFA, Romania
- MES of Russia
- NBC KI, Russia Federation
- JINR
- MESTD, Serbia
- MSS R, Slovakia
- ARRS
- Slovenia
- DST/NRF, South Africa
- MINECO, Spain
- SRC, Sweden
- Wallenberg Foundation, Sweden
- SERI, Switzerland
- SNSF, Switzerland
- Canton of Bern, Switzerland
- Canton of Geneva, Switzerland
- MOST, Taiwan
- TAEK, Turkey
- STFC, United Kingdom
- DOE, United States of America
- NSF, United States of America
- BCKDF, Canada
- CANARIE, Canada
- Compute Canada, Canada
- CRC, Canada
- ERC, European Union
- ERDF, European Union
- Horizon 2020, European Union
- Marie Sklodowska-Curie Actions,European Union
- COST, European Union
- Investissements d' Avenir Labex, France
- Investissements d' Avenir Idex, France
- ANR, France
- DFG, Germany
- AvH Foundation, Germany
- Herakleitos programme - EU-ESF
- Thales programme - EU-ESF
- Aristeia programme - EU-ESF
- Greek NS RF, Greece
- BSF-NSF, Israel
- GIF, Israel
- CERCA Programme Generalitat de Catalunya, Spain
- PROMETEO Programme Generalitat Valenciana, Spain
- Goran Gustafssons Stiftelse, Sweden
- Royal Society, United Kingdom
- Leverhulme Trust, United Kingdom
- STFC [ST/S000747/1, ST/N000277/1, ST/T000414/1, ST/S000879/1, ST/N000331/1, ST/S00095X/1] Funding Source: UKRI
Ask authors/readers for more resources
This Letter describes a search for narrowly resonant new physics using a machine -learning anomaly detection procedure that does not rely on signal simulations for developing the analysis selection. Weakly supervised learning is used to train classifiers directly on data to enhance potential signals. The targeted topology is dijet events and the features used for machine learning are the masses of the two jets. The resulting analysis is essentially a three-dimensional search A -> BC, for m(A) similar to O(TeV), m(B), m(C) similar to O(100 GeV) and B, C are reconstructed as large-radius jets, without paying a penalty associated with a large trials factor in the scan of the masses of the two jets. The full run 2 root s = 13 TeV pp collision dataset of 139 fb(-1) recorded by the ATLAS detector at the Large Hadron Collider is used for the search. There is no significant evidence of a localized excess in the dijet invariant mass spectrum between 1.8 and 8.2 TeV, Cross-section limits for narrow -width A, B, and C particles vary with m(A), m(B), and m(C). For example, when m(A) = 3 TeV and m(B) greater than or similar to 200 GeV, a production cross section between 1 and 5 fb is excluded at 95% confidence level, depending on m(C). For certain masses, these limits are up to 10 times more sensitive than those obtained by the inclusive dijet search. These results are complementary to the dedicated searches for the case that B and C are standard model bosons.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available