| |
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
|
Khosa, C.K.; Sanz, V.; Soughton, M. |
A simple guide from machine learning outputs to statistical criteria in particle physics |
2022 |
Scipost Physics Core |
5 |
050 - 31pp |
|
|
|
Khosa, C.K.; Sanz, V. |
On the Impact of the LHC Run 2 Data on General Composite Higgs Scenarios |
2022 |
Advances in High Energy Physics |
2022 |
8970837 - 13pp |
|
|
|
Karuseichyk, I.; Sorelli, G.; Walschaers, M.; Treps, N.; Gessner, M. |
Resolving mutually-coherent point sources of light with arbitrary statistics |
2022 |
Physical Review Research |
4 |
043010 - 11pp |
|
|
|
Just, O.; Abbar, S.; Wu, M.R.; Tamborra, I.; Janka, H.T.; Capozzi, F. |
Fast neutrino conversion in hydrodynamic simulations of neutrino-cooled accretion disks |
2022 |
Physical Review D |
105 |
083024 - 24pp |
|
|
|
Jung, S.; Lee, J.; Perello, M.; Tian, J.P.; Vos, M. |
Higgs, top quark, and electroweak precision measurements at future e(+) e (-) colliders: A combined effective field theory analysis with renormalization mixing |
2022 |
Physical Review D |
105 |
016003 - 38pp |
|
