Skip to main content

Dijet Resonance Search with Weak Supervision Using sqrt[s]=13  TeV pp Collisions in the ATLAS Detector.

Publication ,  Journal Article
Aad, G; Abbott, B; Abbott, DC; Abed Abud, A; Abeling, K; Abhayasinghe, DK; Abidi, SH; AbouZeid, OS; Abraham, NL; Abramowicz, H; Abreu, H ...
Published in: Physical review letters
September 2020

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}∼O(TeV), m_{B},m_{C}∼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 sqrt[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}≳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.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Physical review letters

DOI

EISSN

1079-7114

ISSN

0031-9007

Publication Date

September 2020

Volume

125

Issue

13

Start / End Page

131801

Related Subject Headings

  • General Physics
  • 51 Physical sciences
  • 49 Mathematical sciences
  • 40 Engineering
  • 09 Engineering
  • 02 Physical Sciences
  • 01 Mathematical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Aad, G., Abbott, B., Abbott, D. C., Abed Abud, A., Abeling, K., Abhayasinghe, D. K., … Chu, X. (2020). Dijet Resonance Search with Weak Supervision Using sqrt[s]=13  TeV pp Collisions in the ATLAS Detector. Physical Review Letters, 125(13), 131801. https://doi.org/10.1103/physrevlett.125.131801
Aad, G., B. Abbott, D. C. Abbott, A. Abed Abud, K. Abeling, D. K. Abhayasinghe, S. H. Abidi, et al. “Dijet Resonance Search with Weak Supervision Using sqrt[s]=13  TeV pp Collisions in the ATLAS Detector.Physical Review Letters 125, no. 13 (September 2020): 131801. https://doi.org/10.1103/physrevlett.125.131801.
Aad G, Abbott B, Abbott DC, Abed Abud A, Abeling K, Abhayasinghe DK, et al. Dijet Resonance Search with Weak Supervision Using sqrt[s]=13  TeV pp Collisions in the ATLAS Detector. Physical review letters. 2020 Sep;125(13):131801.
Aad, G., et al. “Dijet Resonance Search with Weak Supervision Using sqrt[s]=13  TeV pp Collisions in the ATLAS Detector.Physical Review Letters, vol. 125, no. 13, Sept. 2020, p. 131801. Epmc, doi:10.1103/physrevlett.125.131801.
Aad G, Abbott B, Abbott DC, Abed Abud A, Abeling K, Abhayasinghe DK, Abidi SH, AbouZeid OS, Abraham NL, Abramowicz H, Abreu H, Abulaiti Y, Acharya BS, Achkar B, Adam L, Adam Bourdarios C, Adamczyk L, Adamek L, Adelman J, Adersberger M, Adiguzel A, Adorni S, Adye T, Affolder AA, Afik Y, Agapopoulou C, Agaras MN, Aggarwal A, Agheorghiesei C, Aguilar-Saavedra JA, Ahmad A, Ahmadov F, Ahmed WS, Ai X, Aielli G, Akatsuka S, Akbiyik M, Åkesson TPA, Akilli E, Akimov AV, Al Khoury K, Alberghi GL, Albert J, Alconada Verzini MJ, Alderweireldt S, Aleksa M, Aleksandrov IN, Alexa C, Alexopoulos T, Alfonsi A, Alfonsi F, Alhroob M, Ali B, Ali S, Aliev M, Alimonti G, Allaire C, Allbrooke BMM, Allen BW, Allport PP, Aloisio A, Alonso F, Alpigiani C, Alunno Camelia E, Alvarez Estevez M, Alviggi MG, Amaral Coutinho Y, Ambler A, Ambroz L, Amelung C, Amidei D, Amor Dos Santos SP, Amoroso S, Amrouche CS, An F, Anastopoulos C, Andari N, Andeen T, Anders JK, Andrean SY, Andreazza A, Andrei V, Anelli CR, Angelidakis S, Angerami A, Anisenkov AV, Annovi A, Antel C, Anthony MT, Antipov E, Antonelli M, Antrim DJA, Anulli F, Aoki M, Aparisi Pozo JA, Aparo MA, Aperio Bella L, Aranzabal Barrio N, Araujo Ferraz V, Araujo Pereira R, Arcangeletti C, Arce ATH, Arduh FA, Arguin J-F, Argyropoulos S, Arling J-H, Armbruster AJ, Armstrong A, Arnaez O, Arnold H, Arrubarrena Tame ZP, Artoni G, Asai K, Asai S, Asawatavonvanich T, Asbah N, Asimakopoulou EM, Asquith L, Assahsah J, Assamagan K, Astalos R, Atkin RJ, Atkinson M, Atlay NB, Atmani H, Augsten K, Austrup VA, Avolio G, Ayoub MK, Azuelos G, Bachacou H, Bachas K, Backes M, Backman F, Bagnaia P, Bahmani M, Bahrasemani H, Bailey AJ, Bailey VR, Baines JT, Bakalis C, Baker OK, Bakker PJ, Bakos E, Bakshi Gupta D, Balaji S, Baldin EM, Balek P, Balli F, Balunas WK, Balz J, Banas E, Bandieramonte M, Bandyopadhyay A, Banerjee S, Barak L, Barbe WM, Barberio EL, Barberis D, Barbero M, Barbour G, Barillari T, Barisits M-S, Barkeloo J, Barklow T, Barnea R, Barnett BM, Barnett RM, Barnovska-Blenessy Z, Baroncelli A, Barone G, Barr AJ, Barranco Navarro L, Barreiro F, Barreiro Guimarães da Costa J, Barron U, Barsov S, Bartels F, Bartoldus R, Bartolini G, Barton AE, Bartos P, Basalaev A, Basan A, Bassalat A, Basso MJ, Bates RL, Batlamous S, Batley JR, Batool B, Battaglia M, Bauce M, Bauer F, Bauer KT, Bauer P, Bawa HS, Bayirli A, Beacham JB, Beau T, Beauchemin PH, Becherer F, Bechtle P, Beck HC, Beck HP, Becker K, Becot C, Beddall A, Beddall AJ, Bednyakov VA, Bedognetti M, Bee CP, Beermann TA, Begalli M, Begel M, Behera A, Behr JK, Beisiegel F, Belfkir M, Bell AS, Bella G, Bellagamba L, Bellerive A, Bellos P, Beloborodov K, Belotskiy K, Belyaev NL, Benchekroun D, Benekos N, Benhammou Y, Benjamin DP, Benoit M, Bensinger JR, Bentvelsen S, Beresford L, Beretta M, Berge D, Bergeaas Kuutmann E, Berger N, Bergmann B, Bergsten LJ, Beringer J, Berlendis S, Bernardi G, Bernius C, Bernlochner FU, Berry T, Berta P, Bertella C, Berthold A, Bertram IA, Bessidskaia Bylund O, Besson N, Bethani A, Bethke S, Betti A, Bevan AJ, Beyer J, Bhattacharya DS, Bhattarai P, Bhopatkar VS, Bi R, Bianchi RM, Biebel O, Biedermann D, Bielski R, Bierwagen K, Biesuz NV, Biglietti M, Billoud TRV, Bindi M, Bingul A, Bini C, Biondi S, Birch-Sykes CJ, Birman M, Bisanz T, Biswal JP, Biswas D, Bitadze A, Bittrich C, Bjørke K, Blazek T, Bloch I, Blocker C, Blue A, Blumenschein U, Bobbink GJ, Bobrovnikov VS, Bocchetta SS, Boerner D, Bogavac D, Bogdanchikov AG, Bohm C, Boisvert V, Bokan P, Bold T, Bolz AE, Bomben M, Bona M, Bonilla JS, Boonekamp M, Booth CD, Borbély AG, Borecka-Bielska HM, Borgna LS, Borisov A, Borissov G, Bortoletto D, Boscherini D, Bosman M, Bossio Sola JD, Bouaouda K, Boudreau J, Bouhova-Thacker EV, Boumediene D, Boutle SK, Boveia A, Boyd J, Boye D, Boyko IR, Bozson AJ, Bracinik J, Brahimi N, Brandt G, Brandt O, Braren F, Brau B, Brau JE, Breaden Madden WD, Brendlinger K, Brener R, Brenner L, Brenner R, Bressler S, Brickwedde B, Briglin DL, Britton D, Britzger D, Brock I, Brock R, Brooijmans G, Brooks WK, Brost E, Bruckman de Renstrom PA, Brüers B, Bruncko D, Bruni A, Bruni G, Bruni LS, Bruno S, Bruschi M, Bruscino N, Bryngemark L, Buanes T, Buat Q, Buchholz P, Buckley AG, Budagov IA, Bugge MK, Bührer F, Bulekov O, Bullard BA, Burch TJ, Burdin S, Burgard CD, Burger AM, Burghgrave B, Burr JTP, Burton CD, Burzynski JC, Büscher V, Buschmann E, Bussey PJ, Butler JM, Buttar CM, Butterworth JM, Butti P, Buttinger W, Buxo Vazquez CJ, Buzatu A, Buzykaev AR, Cabras G, Cabrera Urbán S, Caforio D, Cai H, Cairo VMM, Cakir O, Calace N, Calafiura P, Calderini G, Calfayan P, Callea G, Caloba LP, Caltabiano A, Calvente Lopez S, Calvet D, Calvet S, Calvet TP, Calvetti M, Camacho Toro R, Camarda S, Camarero Munoz D, Camarri P, Camerlingo MT, Cameron D, Camincher C, Campana S, Campanelli M, Camplani A, Canale V, Canesse A, Cano Bret M, Cantero J, Cao T, Cao Y, Capeans Garrido MDM, Capua M, Cardarelli R, Cardillo F, Carducci G, Carli I, Carli T, Carlino G, Carlson BT, Carlson EM, Carminati L, Carney RMD, Caron S, Carquin E, Carrá S, Carratta G, Carter JWS, Carter TM, Casado MP, Casha AF, Castillo FL, Castillo Garcia L, Castillo Gimenez V, Castro NF, Catinaccio A, Catmore JR, Cattai A, Cavaliere V, Cavasinni V, Celebi E, Celli F, Cerny K, Cerqueira AS, Cerri A, Cerrito L, Cerutti F, Cervelli A, Cetin SA, Chadi Z, Chakraborty D, Chan J, Chan WS, Chan WY, Chapman JD, Chargeishvili B, Charlton DG, Charman TP, Chau CC, Che S, Chekanov S, Chekulaev SV, Chelkov GA, Chen B, Chen C, Chen CH, Chen H, Chen J, Chen S, Chen SJ, Chen X, Chen Y, Chen Y-H, Cheng HC, Cheng HJ, Cheplakov A, Cheremushkina E, Cherkaoui El Moursli R, Cheu E, Cheung K, Chevalérias TJA, Chevalier L, Chiarella V, Chiarelli G, Chiodini G, Chisholm AS, Chitan A, Chiu I, Chiu YH, Chizhov MV, Choi K, Chomont AR, Chow YS, Christopher LD, Chu MC, Chu X. Dijet Resonance Search with Weak Supervision Using sqrt[s]=13  TeV pp Collisions in the ATLAS Detector. Physical review letters. 2020 Sep;125(13):131801.

Published In

Physical review letters

DOI

EISSN

1079-7114

ISSN

0031-9007

Publication Date

September 2020

Volume

125

Issue

13

Start / End Page

131801

Related Subject Headings

  • General Physics
  • 51 Physical sciences
  • 49 Mathematical sciences
  • 40 Engineering
  • 09 Engineering
  • 02 Physical Sciences
  • 01 Mathematical Sciences