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Author  |
Title |
Year |
Publication |
Volume |
Pages |
|
|
Abramowicz, H. et al; Almanza-Soto, M.; Blanch, C.; Boronat, M.; Esperante, D.; Fernandez-Ortega, J. C.; Formela, M.; Fuster, J.; Fuster-Martinez, N.; Gimeno, B.; Gonzalez-Iglesias, D.; Huang, S.; Irles, A.; Marquez, J.P.; Martin-Luna, P.; Melini, D.; Menendez, A.; Mitsou, V.A.; Moreno-Llacer, M.; Musumeci, E.; Pedraza-Motavita, L.K.; Rodrigo, G.; Villaplana, M.; Vos, M.; Wandall-Christensen, K. |
A linear collider vision for the future of particle physics |
2026 |
European Physical Journal-Special Topics |
235 |
1641-1796 |
|
|
Abramowicz, H.; Almanza Soto, M.; Benhammou, Y.; Elad, M.; Firlej, M.; Fiutowski, T.; Ghenescu, V.; Grzelak, G.; Horn, D.; Huang, S.; Idzik, M.; Irles, A.; Levy, A.; Levy, I.; Lohmann, W.; Moron, J.; Neagu, A.T.; Pietruch, D.; Potlog, P.M.; Swientek, K.; Zarnecki, A.F.; Zembaczynski, K. |
Novel silicon and GaAs sensors for compact sampling calorimeters |
2025 |
European Physical Journal C |
85 |
684 - 13pp |
|
|
Alioli, S.; Fuster, J.; Garzelli, M.V.; Gavardi, A.; Irles, A.; Melini, D.; Moch, S.O.; Uwer, P.; Voss, K. |
Phenomenology of t(t)over-barj plus X production at the LHC |
2022 |
Journal of High Energy Physics |
05 |
146 - 63pp |
|
|
Almanza Soto, M.; Borysov, O.; Ferber, T.; Huang, S.; Irles, A.; Klute, M.; Marquez Hernandez, J.P.; Perez Segura, J.; Quishpe, R.; Soreq, Y.; Tal Hod, N.; Trevisani, N. |
Layout optimization for the LUXE-NPOD experiment |
2025 |
Physical Review D |
112 |
112014 - 15pp |
|
|
Aparisi, J.; Fuster, J.; Irles, A.; Rodrigo, G.; Vos, M.; Yamamoto, H.; Hoang, A.; Lepenik, C.; Spira, M.; Tairafune, S.; Yonamine, R. |
m(b) at m(H): The Running Bottom Quark Mass and the Higgs Boson |
2022 |
Physical Review Letters |
128 |
122001 - 7pp |
|
|
Bechtle, P. et al; Orero Canet, C.; Blanch C.; Irles, A. |
A proposal for the LOHENGRIN experiment to search for dark sector particles at the ELSA Accelerator |
2025 |
European Physical Journal C |
85 |
600 - 29pp |
|
|
CALICE Collaboration (Lai, S. et al); Irles, A. |
Software compensation for highly granular calorimeters using machine learning |
2024 |
Journal of Instrumentation |
19 |
P04037 - 28pp |
|
|
CALICE Collaboration (Lai, S. et al); Irles, A. |
Shower separation in five dimensions for highly granular calorimeters using machine learning |
2024 |
Journal of Instrumentation |
19 |
P10027 - 32pp |
|
|
CALICE Collaboration (White, A. et al); Irles, A. |
Design, construction and commissioning of a technological prototype of a highly granular SiPM-on-tile scintillator-steel hadronic calorimeter |
2023 |
Journal of Instrumentation |
18 |
P11018 - 39pp |
|
|
CMS and CALICE Collaborations (Acar, B. et al); Irles, A. |
Performance of the CMS High Granularity Calorimeter prototype to charged pion beams of 20-300 GeV/c |
2023 |
Journal of Instrumentation |
18 |
P08014 - 32pp |