Les Houches 2011: physics at TeV colliders new physics working group report G Brooijmans, B Gripaios, F Moortgat, J Santiago, P Skands, DA Vásquez, ...
arXiv preprint arXiv:1203.1488, 2012
316 2012 SModelS: a tool for interpreting simplified-model results from the LHC and its application to supersymmetry S Kraml, S Kulkarni, U Laa, A Lessa, W Magerl, D Proschofsky-Spindler, ...
The European Physical Journal C 74, 1-23, 2014
245 2014 Collider limits on new physics within micrOMEGAs_4. 3 D Barducci, G Bélanger, J Bernon, F Boudjema, J Da Silva, S Kraml, ...
Computer Physics Communications 222, 327-338, 2018
225 2018 SModelS v1. 1 user manual: Improving simplified model constraints with efficiency maps F Ambrogi, S Kraml, S Kulkarni, U Laa, A Lessa, V Magerl, J Sonneveld, ...
Computer Physics Communications 227, 72-98, 2018
101 2018 SModelS v1. 2: long-lived particles, combination of signal regions, and other novelties F Ambrogi, J Dutta, J Heisig, S Kraml, S Kulkarni, U Laa, A Lessa, ...
Computer Physics Communications 251, 106848, 2020
81 2020 Constraints on sneutrino dark matter from LHC Run 1 C Arina, MEC Catalan, S Kraml, S Kulkarni, U Laa
Journal of High Energy Physics 2015 (5), 1-29, 2015
54 2015 Simplified dark matter models with a spin-2 mediator at the LHC S Kraml, U Laa, K Mawatari, K Yamashita
The European Physical Journal C 77, 1-14, 2017
49 2017 Scalar versus fermionic top partner interpretations of searches at the LHC S Kraml, U Laa, L Panizzi, H Prager
Journal of High Energy Physics 2016 (11), 1-36, 2016
49 2016 Probing U (1) extensions of the MSSM at the LHC Run I and in dark matter searches G Bélanger, J Da Silva, U Laa, A Pukhov
Journal of High Energy Physics 2015 (9), 1-53, 2015
40 2015 SModelS v1. 0: a short user guide S Kraml, S Kulkarni, U Laa, A Lessa, V Magerl, W Magerl, ...
arXiv preprint arXiv:1412.1745, 2014
33 2014 On the coverage of the pMSSM by simplified model results F Ambrogi, S Kraml, S Kulkarni, U Laa, A Lessa, W Waltenberger
The European Physical Journal C 78, 1-18, 2018
29 2018 Anatomy of a six-parameter fit to the anomalies B Capdevila, U Laa, G Valencia
The European Physical Journal C 79, 1-27, 2019
27 2019 A slice tour for finding hollowness in high-dimensional data U Laa, D Cook, G Valencia
Journal of Computational and Graphical Statistics 29 (3), 681-687, 2020
17 2020 Dynamical projections for the visualization of PDFSense data D Cook, U Laa, G Valencia
The European Physical Journal C 78, 1-18, 2018
16 2018 Burning sage: Reversing the curse of dimensionality in the visualization of high-dimensional data U Laa, D Cook, S Lee
Journal of Computational and Graphical Statistics 31 (1), 40-49, 2022
10 2022 Hole or grain? a section pursuit index for finding hidden structure in multiple dimensions U Laa, D Cook, A Buja, G Valencia
Journal of Computational and Graphical Statistics 31 (3), 739-752, 2022
9 2022 Using tours to visually investigate properties of new projection pursuit indexes with application to problems in physics U Laa, D Cook
Computational Statistics 35 (3), 1171-1205, 2020
9 2020 The state‐of‐the‐art on tours for dynamic visualization of high‐dimensional data S Lee, D Cook, N da Silva, U Laa, N Spyrison, E Wang, HS Zhang
Wiley Interdisciplinary Reviews: Computational Statistics 14 (4), e1573, 2022
8 2022 Pandemonium: a clustering tool to partition parameter space—application to the B anomalies U Laa, G Valencia
The European Physical Journal Plus 137 (1), 145, 2022
8 2022 Casting multiple shadows: High-dimensional interactive data visualisation with tours and embeddings S Lee, U Laa, D Cook
arXiv preprint arXiv:2012.06077, 2020
6 2020