|
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
Khosa, C.K.; Sanz, V.; Soughton, M. |
Using machine learning to disentangle LHC signatures of Dark Matter candidates |
2021 |
Scipost Physics |
10 |
151 - 26pp |
|
|
Khosa, C.K.; Sanz, V. |
Anomaly Awareness |
2023 |
Scipost Physics |
15 |
053 - 24pp |
|
|
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 |
|
|
Khosa, C.K.; Mars, L.; Richards, J.; Sanz, V. |
Convolutional neural networks for direct detection of dark matter |
2020 |
Journal of Physics G |
47 |
095201 - 20pp |
|
|
Khatun, A.; Chatterjee, S.S.; Thakore, T.; Agarwalla, S.K. |
Enhancing sensitivity to non-standard neutrino interactions at INO combining muon and hadron information |
2020 |
European Physical Journal C |
80 |
533 - 17pp |
|
|
Khachatryan, M. et al, Coloma, P. |
Electron-beam energy reconstruction for neutrino oscillation measurements |
2021 |
Nature |
599 |
565-570 |
|
|
AGATA Collaboration (Kaya, L. et al); Gadea, A. |
Isomer spectroscopy in Ba-133 and high-spin structure of Ba-134 |
2019 |
Physical Review C |
100 |
024323 - 18pp |
|
|
Kaur, D.; Khan Chowdhury, N.R.; Rahaman, U. |
Effect of non-unitary mixing on the mass hierarchy and CP violation determination at the Protvino to ORCA experiment |
2024 |
European Physical Journal C |
84 |
118 - 18pp |
|
|
Kasieczka, G. et al; Sanz, V. |
The LHC Olympics 2020: a community challenge for anomaly detection in high energy physics |
2021 |
Reports on Progress in Physics |
84 |
124201 - 64pp |
|
|
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 |
|