ATLAS COLLABORATION CERN, [Study Group], ARGYROPOULOS, Spyridon, BECHERER, Fabian, BÖHLER, Michael, BURLAYENKO, Oleksandr, DIEHL, Leena, FROCH, Alexander, GURDASANI, Simran Sunil, HEIDEGGER, Constantin, HEIDEGGER, Kim K., HERTEN, Gregor, JAIN, Prasham, JAKOBS, Karl, JENNI, Peter, KALAITZIDOU, Ilia, KARENTZOS, Efstathios, KÖNEKE, Karsten, KÜSTERS, Roman, KUPRASH, Oleg, LANDGRAF, Ulrich, LANG, Valerie, MOSKALETS, Tetiana, ÖNCEL, Ömer Ogul, PARZEFALL, Ulrich, PLESANOVS, Vladislavs, PRETEL, Jose, RAFANOHARANA, Dimbiniaina, RODRÍGUEZ RODRÍGUEZ, Arturo, ROSSINI, Lorenzo, ROTTLER, Benjamin, RÚRIKOVÁ, Zuzana, SAMMEL, Dirk, SAUERBURGER, Frank, SCHLEICHER, Katharina E., SCHOLER, Patrick, SCHUMACHER, Markus, SOLOVIEVA, Ksenia, SPERLICH, Dennis, WEISER, Christian, WINTER, Benedict T., ZANZI, Daniele und ET AL, 2024. Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at √s=13 Te V with the ATLAS detector : = Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at [square root]s=13 Te V with the ATLAS detector. Freiburg: Universität.
Elsevier - Harvard (with titles)ATLAS Collaboration CERN, [Study G., Argyropoulos, S., Becherer, F., Böhler, M., Burlayenko, O., Diehl, L., Froch, A., Gurdasani, S.S., Heidegger, C., Heidegger, K.K., Herten, G., Jain, P., Jakobs, K., Jenni, P., Kalaitzidou, I., Karentzos, E., Köneke, K., Küsters, R., Kuprash, O., Landgraf, U., Lang, V., Moskalets, T., Öncel, Ömer O., Parzefall, U., Plesanovs, V., Pretel, J., Rafanoharana, D., Rodríguez Rodríguez, A., Rossini, L., Rottler, B., Rúriková, Z., Sammel, D., Sauerburger, F., Schleicher, K.E., Scholer, P., Schumacher, M., Solovieva, K., Sperlich, D., Weiser, C., Winter, B.T., Zanzi, D., et al, 2024. Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at √s=13 Te V with the ATLAS detector : = Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at [square root]s=13 Te V with the ATLAS detector. Universität, Freiburg. https://doi.org/10.1103/physrevlett.132.081801
American Psychological Association 7th editionATLAS Collaboration CERN, [Study G., Argyropoulos, S., Becherer, F., Böhler, M., Burlayenko, O., Diehl, L., Froch, A., Gurdasani, S. S., Heidegger, C., Heidegger, K. K., Herten, G., Jain, P., Jakobs, K., Jenni, P., Kalaitzidou, I., Karentzos, E., Köneke, K., Küsters, R., Kuprash, O., Landgraf, U., Lang, V., Moskalets, T., Öncel, Ömer O., Parzefall, U., Plesanovs, V., Pretel, J., Rafanoharana, D., Rodríguez Rodríguez, A., Rossini, L., Rottler, B., Rúriková, Z., Sammel, D., Sauerburger, F., Schleicher, K. E., Scholer, P., Schumacher, M., Solovieva, K., Sperlich, D., Weiser, C., Winter, B. T., Zanzi, D., & et al. (ca. 2024). Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at √s=13 Te V with the ATLAS detector : = Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at [square root]s=13 Te V with the ATLAS detector [Cd]. Universität. https://doi.org/10.1103/physrevlett.132.081801
Springer - Basic (author-date)ATLAS Collaboration CERN [Study G, Argyropoulos S, Becherer F, Böhler M, Burlayenko O, Diehl L, Froch A, Gurdasani SS, Heidegger C, Heidegger KK, Herten G, Jain P, Jakobs K, Jenni P, Kalaitzidou I, Karentzos E, Köneke K, Küsters R, Kuprash O, Landgraf U, Lang V, Moskalets T, Öncel Ömer O, Parzefall U, Plesanovs V, Pretel J, Rafanoharana D, Rodríguez Rodríguez A, Rossini L, Rottler B, Rúriková Z, Sammel D, Sauerburger F, Schleicher KE, Scholer P, Schumacher M, Solovieva K, Sperlich D, Weiser C, Winter BT, Zanzi D, et al (2024) Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at √s=13 Te V with the ATLAS detector : = Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at [square root]s=13 Te V with the ATLAS detector. Universität, Freiburg
Juristische Zitierweise (Stüber) (Deutsch)ATLAS Collaboration CERN, [Study Group]/ Argyropoulos, Spyridon/ Becherer, Fabian/ Böhler, Michael/ Burlayenko, Oleksandr/ Diehl, Leena/ Froch, Alexander/ Gurdasani, Simran Sunil/ Heidegger, Constantin/ Heidegger, Kim K./ Herten, Gregor/ Jain, Prasham/ Jakobs, Karl/ Jenni, Peter/ Kalaitzidou, Ilia/ Karentzos, Efstathios/ Köneke, Karsten/ Küsters, Roman/ Kuprash, Oleg/ Landgraf, Ulrich/ Lang, Valerie/ Moskalets, Tetiana/ Öncel, Ömer Ogul/ Parzefall, Ulrich/ Plesanovs, Vladislavs/ Pretel, Jose/ Rafanoharana, Dimbiniaina/ Rodríguez Rodríguez, Arturo/ Rossini, Lorenzo/ Rottler, Benjamin/ Rúriková, Zuzana/ Sammel, Dirk/ Sauerburger, Frank/ Schleicher, Katharina E./ Scholer, Patrick/ Schumacher, Markus/ Solovieva, Ksenia/ Sperlich, Dennis/ Weiser, Christian/ Winter, Benedict T./ Zanzi, Daniele/ et al, Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at √s=13 Te V with the ATLAS detector : = Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at [square root]s=13 Te V with the ATLAS detector, Freiburg 2024.