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Professor Michael Spannowsky's Outputs (15)

Novel B-decay signatures of light scalars at high energy facilities (2019)
Journal Article
Blance, A., Chala, M., Ramos, M., & Spannowsky, M. (2019). Novel B-decay signatures of light scalars at high energy facilities. Physical Review D, 100(11), Article 115015. https://doi.org/10.1103/physrevd.100.115015

We study the phenomenology of light scalars of masses m1 and m2 coupling to heavy flavor-violating vector bosons of mass mV. For m1;2 ≲ few GeV, this scenario triggers the rare B meson decays B0s → 3μþ3μ−, B0 → 3μþ3μ−, Bþ → Kþ3μþ3μ−, and B0s → K03μþ3... Read More about Novel B-decay signatures of light scalars at high energy facilities.

Higgs phenomenology as a probe of sterile neutrinos (2019)
Journal Article
Butterworth, J. M., Chala, M., Englert, C., Spannowsky, M., & Titov, A. (2019). Higgs phenomenology as a probe of sterile neutrinos. Physical Review D, 100(11), Article 115019. https://doi.org/10.1103/physrevd.100.115019

Physics beyond the Standard Model can manifest itself as both new light states and heavy degrees of freedom. In this paper, we assume that the former comprise only a sterile neutrino, N. Therefore, the most agnostic description of the new physics is... Read More about Higgs phenomenology as a probe of sterile neutrinos.

Resolving the tensor structure of the Higgs coupling to Z bosons via Higgs-strahlung (2019)
Journal Article
Banerjee, S., Gupta, R. S., Reiness, J. Y., & Spannowsky, M. (2019). Resolving the tensor structure of the Higgs coupling to Z bosons via Higgs-strahlung. Physical Review D, 100(11), Article 115004. https://doi.org/10.1103/physrevd.100.115004

We propose differential observables for pp → Zðlþl−Þhðb¯bÞ that can be used to completely determine the tensor structure of the hZZ=hZ¯ff couplings relevant to this process in the dimension-six Standard Model (SM) effective field theory. In particula... Read More about Resolving the tensor structure of the Higgs coupling to Z bosons via Higgs-strahlung.

Revisiting the tt¯hh channel at the FCC-hh (2019)
Journal Article
Banerjee, S., Krauss, F., & Spannowsky, M. (2019). Revisiting the tt¯hh channel at the FCC-hh. Physical Review D, 100(7), Article 073012. https://doi.org/10.1103/physrevd.100.073012

The exploration of the scalar sector of the Standard Model is at the core of current and future science programs at collider experiments, with increasing focus on the self-interaction of the Higgs boson. This important parameter of the Higgs sector c... Read More about Revisiting the tt¯hh channel at the FCC-hh.

All-in-one relaxion: A unified solution to five particle-physics puzzles (2019)
Journal Article
Gupta, R., Reiness, J., & Spannowsky, M. (2019). All-in-one relaxion: A unified solution to five particle-physics puzzles. Physical Review D, 100(5), Article 055003. https://doi.org/10.1103/physrevd.100.055003

We present a unified relaxion solution to the five major outstanding issues in particle physics: Higgs mass naturalness, dark matter, matter-antimatter asymmetry, neutrino masses and the strong CP problem. The only additional field content in our con... Read More about All-in-one relaxion: A unified solution to five particle-physics puzzles.

Solving differential equations with neural networks: Applications to the calculation of cosmological phase transitions (2019)
Journal Article
Piscopo, M. L., Spannowsky, M., & Waite, P. (2019). Solving differential equations with neural networks: Applications to the calculation of cosmological phase transitions. Physical Review D, 100(1), Article 016002. https://doi.org/10.1103/physrevd.100.016002

Starting from the observation that artificial neural networks are uniquely suited to solving optimization problems, and most physics problems can be cast as an optimization task, we introduce a novel way of finding a numerical solution to wide classe... Read More about Solving differential equations with neural networks: Applications to the calculation of cosmological phase transitions.

HYTREES: combining matrix elements and parton shower for hypothesis testing (2019)
Journal Article
Prestel, S., & Spannowsky, M. (2019). HYTREES: combining matrix elements and parton shower for hypothesis testing. The European Physical Journal C, 79(7), Article 546. https://doi.org/10.1140/epjc/s10052-019-7030-y

We present a new way of performing hypothesis tests on scattering data, by means of a perturbatively calculable classifier. This classifier exploits the “history tree” of how the measured data point might have evolved out of any simpler (reconstructe... Read More about HYTREES: combining matrix elements and parton shower for hypothesis testing.

Approaching robust EFT limits for CP violation in the Higgs sector (2019)
Journal Article
Englert, C., Galler, P., Pilkington, A., & Spannowsky, M. (2019). Approaching robust EFT limits for CP violation in the Higgs sector. Physical Review D, 99(9), Article 095007. https://doi.org/10.1103/physrevd.99.095007

Constraining CP-violating interactions in effective field theory of dimension six faces two challenges. First, degeneracies in the multidimensional space of Wilson coefficients have to be lifted. Second, quadratic contributions of CP-odd dimension-si... Read More about Approaching robust EFT limits for CP violation in the Higgs sector.

Constraining four-fermion operators using rare top decays (2019)
Journal Article
Chala, M., Santiago, J., & Spannowsky, M. (2019). Constraining four-fermion operators using rare top decays. Journal of High Energy Physics, 2019(4), Article 14. https://doi.org/10.1007/jhep04%282019%29014

New physics can manifest itself by an appreciable increase of the decay rate of top quarks in rare flavour-changing final states. Exploiting the large top quark production rate at the LHC, we bound four-fermion operators contributing to non-resonant... Read More about Constraining four-fermion operators using rare top decays.

Gravitational wave and collider probes of a triplet Higgs sector with a low cutoff (2019)
Journal Article
Chala, M., Ramos, M., & Spannowsky, M. (2019). Gravitational wave and collider probes of a triplet Higgs sector with a low cutoff. The European Physical Journal C, 79(2), Article 156. https://doi.org/10.1140/epjc/s10052-019-6655-1

We study the scalar triplet extension of the standard model with a low cutoff, preventing large corrections to the quadratic masses that would otherwise worsen the hierarchy problem. We explore the reach of LISA to test the parameter space region of... Read More about Gravitational wave and collider probes of a triplet Higgs sector with a low cutoff.

Consistency of Higgsplosion in localizable QFT (2019)
Journal Article
Khoze, V. V., & Spannowsky, M. (2019). Consistency of Higgsplosion in localizable QFT. Physics Letters B, 790, 466-474. https://doi.org/10.1016/j.physletb.2019.01.052

We show that large n-particle production rates derived in the semiclassical Higgsplosion limit of scalar field theoretical models with spontaneous symmetry breaking, are consistent with general principles of localizable quantum field theory. The stri... Read More about Consistency of Higgsplosion in localizable QFT.

Angles on CP-violation in Higgs boson interactions (2019)
Journal Article
Bernlochner, F. U., Englert, C., Hays, C., Lohwasser, K., Mildner, H., Pilkington, A., …Spannowsky, M. (2019). Angles on CP-violation in Higgs boson interactions. Physics Letters B, 790, 372-379. https://doi.org/10.1016/j.physletb.2019.01.043

CP-violation in the Higgs sector remains a possible source of the baryon asymmetry of the universe. Recent differential measurements of signed angular distributions in Higgs boson production provide a general experimental probe of the CP structure of... Read More about Angles on CP-violation in Higgs boson interactions.

Machine learning uncertainties with adversarial neural networks (2019)
Journal Article
Englert, C., Galler, P., Harris, P., & Spannowsky, M. (2019). Machine learning uncertainties with adversarial neural networks. The European Physical Journal C, 79(1), Article 4. https://doi.org/10.1140/epjc/s10052-018-6511-8

Machine Learning is a powerful tool to reveal and exploit correlations in a multi-dimensional parameter space. Making predictions from such correlations is a highly non-trivial task, in particular when the details of the underlying dynamics of a theo... Read More about Machine learning uncertainties with adversarial neural networks.

Adversarially-trained autoencoders for robust unsupervised new physics searches (2019)
Journal Article
Blance, A., Spannowsky, M., & Waite, P. (2019). Adversarially-trained autoencoders for robust unsupervised new physics searches. Journal of High Energy Physics, 2019(10), Article 047. https://doi.org/10.1007/jhep10%282019%29047

Machine learning techniques in particle physics are most powerful when they are trained directly on data, to avoid sensitivity to theoretical uncertainties or an underlying bias on the expected signal. To be able to train on data in searches for new... Read More about Adversarially-trained autoencoders for robust unsupervised new physics searches.