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| 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 | 244 | 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 | 223 | 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 |
