☆ 4.7 Article

Amplification of endpoint structure for new particle mass measurement at the LHC

PHYSICAL REVIEW D (2010)

Journal

PHYSICAL REVIEW D

Volume 81, Issue 9, Pages -

Publisher

AMER PHYSICAL SOC

DOI: 10.1103/PhysRevD.81.095010

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-

Categories

Astronomy & Astrophysics Physics, Particles & Fields

Funding

Korea Research Foundation [KRF-2005-084-C00001]
FPRD
[KRF-2008-313-C00162]
STFC [PP/D005841/2] Funding Source: UKRI
Science and Technology Facilities Council [PP/D005841/2, PP/C001265/2] Funding Source: researchfish

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Abstract

We introduce a new collider variable, M-CT2, named as constransverse mass. It is a mixture of stransverse mass (M-T2)'' and contransverse mass (M-CT)'' variables, where the usual endpoint structure of M-T2 distribution can be amplified in the M-CT2 basis by a large Jacobian factor which is controlled by a trial missing particle mass. Thus, the M-CT2 projection of events increases our observability to measure several important endpoints from new particle decays, which are usually expected to be buried by irreducible backgrounds with various systematic uncertainties at the LHC. In this paper we explain the phenomenology of endpoint amplification in M-CT2 projection, and describe how one may employ this variable to measure several meaningful mass constraints of new particles.

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Singh, V. Singhal, T. Sinha, B. Sitar, M. Sitta, T. B. Skaali, M. Slupecki, N. Smirnov, R. J. M. Snellings, T. W. Snellman, C. Soncco, J. Song, A. Songmoolnak, F. Soramel, S. Sorensen, I. Sputowska, J. Stachel, I. Stan, P. Stankus, P. J. Steffanic, E. Stenlund, D. Stocco, M. M. Storetvedt, L. D. Stritto, A. A. P. Suaide, T. Sugitate, C. Suire, M. Suleymanov, M. Suljic, R. Sultanov, M. Sumbera, S. Sumowidagdo, S. Swain, A. Szabo, I. Szarka, U. Tabassam, G. Taillepied, J. Takahashi, G. J. Tambave, S. Tang, M. Tarhini, M. G. Tarzila, A. Tauro, G. Tejeda Munoz, A. Telesca, C. Terrevoli, D. Thakur, S. Thakur, D. Thomas, F. Thoresen, R. Tieulent, A. Tikhonov, A. R. Timmins, A. Toia, N. Topilskaya, M. Toppi, F. Torales-Acosta, S. R. Torres, A. Trifiro, S. Tripathy, T. Tripathy, S. Trogolo, G. Trombetta, L. Tropp, V. Trubnikov, W. H. Trzaska, T. P. Trzcinski, B. A. Trzeciak, T. Tsuji, A. Tumkin, R. Turrisi, T. S. Tveter, K. Ullaland, E. N. Umaka, A. Uras, G. L. Usai, A. Utrobicic, M. Vala, N. Valle, S. Vallero, N. van der Kolk, L. V. R. van Doremalen, M. van Leeuwen, P. Vande Vyvre, D. Varga, Z. Varga, M. Varga-Kofarago, A. Vargas, M. Vasileiou, A. Vasiliev, O. Vazquez Doce, V. Vechernin, A. M. Veen, E. Vercellin, S. Vergara Limon, L. Vermunt, R. Vernet, R. Vertesi, L. Vickovic, Z. Vilakazi, O. Villalobos Baillie, A. Villatoro Tello, G. Vino, A. Vinogradov, T. Virgili, V. Vislavicius, A. Vodopyanov, B. Volkel, M. A. Voelkl, K. Voloshin, S. A. Voloshin, G. Volpe, B. von Haller, I. Vorobyev, D. Voscek, J. Vrlakova, B. Wagner, M. Weber, S. G. Weber, A. Wegrzynek, D. F. Weiser, S. C. Wenzel, J. P. Wessels, J. Wiechula, J. Wikne, G. Wilk, J. Wilkinson, G. A. Willems, E. Willsher, B. Windelband, M. Winn, W. E. Witt, Y. Wu, R. Xu, S. Yalcin, K. Yamakawa, S. Yang, S. Yano, Z. Yin, H. Yokoyama, I. -K. Yoo, J. H. Yoon, S. Yuan, A. Yuncu, V. Yurchenko, V. Zaccolo, A. Zaman, C. Zampolli, H. J. C. Zanoli, N. Zardoshti, A. Zarochentsev, P. Zavada, N. Zaviyalov, H. Zbroszczyk, M. Zhalov, S. Zhang, X. Zhang, Z. Zhang, V. Zherebchevskii, D. Zhou, Y. Zhou, Z. Zhou, J. Zhu, Y. Zhu, A. Zichichi, M. B. Zimmermann, G. Zinovjev, N. Zurlo

Summary: The study measured the polarizations of inclusive J/psi and Upsilon(1S) produced in Pb-Pb collisions at the LHC, finding that the polarization parameters for J/psi are consistent with zero, and Upsilon(1S) production also shows similar results.

PHYSICS LETTERS B (2021)

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Review Chemistry, Multidisciplinary

Machine-Learning Application for a Likelihood Ratio Estimation Problem at LHC

Silvia Auricchio, Francesco Cirotto, Antonio Giannini

Summary: High-energy physics is entering a new era with current particle experiments like ATLAS at CERN offering the potential for discovering new physics beyond the Standard Model. This paper presents a machine-learning algorithm for estimating the distribution of expected background processes, a challenging task in particle physics analyses. Inspired by the likelihood ratio estimation problem, a new technique called direct importance estimation is discussed and its performance in two ATLAS analyses is described.

APPLIED SCIENCES-BASEL (2023)

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Article Physics, Particles & Fields

Searching for dark radiation at the LHC

Elias Bernreuther, Felix Kahlhoefer, Michele Lucente, Alessandro Morandini

Summary: This work explores the connections between searches for long-lived particles at the LHC and early universe cosmology, finding that LHC searches can exclude scenarios that contradict cosmological observations.

JOURNAL OF HIGH ENERGY PHYSICS (2022)

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Article Astronomy & Astrophysics

Probing the electroweak symmetry breaking with Higgs production at the LHC

Ke-Pan Xie, Bin Yan

Summary: The coupling relative sign between hWW and hZZ can be fully determined through experiments at the LHC involving single top quark and Higgs associated production, as well as Zh production.

PHYSICS LETTERS B (2021)

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Article Physics, Multidisciplinary

Towards a method to anticipate dark matter signals with deep learning at the LHC

Ernesto Arganda, Anibal D. Medina, Andres D. Perez, Alejandro Szynkman

Summary: We study simplified dark matter models and their signatures at the LHC using neural networks. By using 2D histograms instead of event-by-event arrays, we achieve better performance in distinguishing between standard model and new physics signals. Kinematic monojet features are used as input data to describe different models with a single data sample. The neural network performance is found to be independent of the simulated number of background events, providing flexibility to the method. We also discuss the network performance under incorrect assumptions about the true dark matter nature. Finally, we propose multimodel classifiers for searching and identifying new signals in a more general way for the next LHC run.

SCIPOST PHYSICS (2022)

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