Ursula Laa

ORCID: 0000-0002-0249-6439
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About
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Research Areas
  • Particle physics theoretical and experimental studies
  • Data Analysis with R
  • Distributed and Parallel Computing Systems
  • Data Visualization and Analytics
  • Particle Detector Development and Performance
  • Computational Physics and Python Applications
  • High-Energy Particle Collisions Research
  • Dark Matter and Cosmic Phenomena
  • Anomaly Detection Techniques and Applications
  • Data Management and Algorithms
  • Quantum Chromodynamics and Particle Interactions
  • Advanced Clustering Algorithms Research
  • Scientific Computing and Data Management
  • Time Series Analysis and Forecasting
  • Single-cell and spatial transcriptomics
  • Hydrology and Drought Analysis
  • Complex Systems and Time Series Analysis
  • Statistics Education and Methodologies
  • Meteorological Phenomena and Simulations
  • Cryospheric studies and observations
  • Landslides and related hazards
  • Superconducting Materials and Applications
  • Data-Driven Disease Surveillance
  • Computer Graphics and Visualization Techniques
  • Geophysics and Gravity Measurements

BOKU University
2021-2025

Monash University
2018-2023

Australian Regenerative Medicine Institute
2022

Data61
2021

Commonwealth Scientific and Industrial Research Organisation
2021

Laboratoire de Physique Subatomique et de Cosmologie
2015-2018

Institut National de Physique Nucléaire et de Physique des Particules
2015-2018

Université Grenoble Alpes
2015-2018

Centre National de la Recherche Scientifique
2015-2018

Université Savoie Mont Blanc
2015-2018

We present a general procedure to decompose Beyond the Standard Model (BSM) collider signatures presenting Z2 symmetry into Simplified Spectrum (SMS) topologies. Our method provides way cast BSM predictions for LHC in model independent framework, which can be directly confronted with relevant experimental constraints. concrete implementation currently focusses on supersymmetry searches missing energy, large variety of SMS results from ATLAS and CMS are available. As show-case examples we...

10.1140/epjc/s10052-014-2868-5 article EN cc-by The European Physical Journal C 2014-05-01

Results from the LHC put severe constraints on models of new physics. This includes Higgs sector precise measurement mass and couplings 125GeV boson, as well limits searches for other particles. We present procedure to use these in micrOMEGAs by interfacing it external codes Lilith, HiggsSignals, HiggsBounds SModelS. A few dedicated modules are also provided. With features, micrOMEGAs_4.3 provides a generic framework evaluating dark matter observables together with collider non-collider constraints.

10.48550/arxiv.1606.03834 preprint EN other-oa arXiv (Cornell University) 2016-01-01

Forest mensuration is important to gain knowledge and information about forest stands. Because tree height often proves more difficult measure than diameter, different statistical models are used for their estimation instead. In this paper, the data of 986 spruce trees (Picea abies KARST. (L.)), measured in federal states Salzburg Tyrol (Austria), were train compare random with traditional approaches such as linear non-linear mixed a classical uniform curve. For model comparison, RMSE,...

10.3390/f16020271 article EN Forests 2025-02-05

Many data problems contain some reference or normal conditions, upon which to compare newly collected data. This scenario occurs in as part of clinical trials detect adverse events, for measuring climate change against historical norms. The is typically multivariate, and often the ranges are specified by a multivariate distribution. work presented this paper develops methods new sample distribution with high-dimensional visualisation. It uses projection pursuit guided tour produce sequence...

10.48550/arxiv.2502.02397 preprint EN arXiv (Cornell University) 2025-02-04

Many data problems contain some reference or normal conditions, upon which to compare newly collected data. This scenario occurs in as part of clinical trials detect adverse events, for measuring climate change against historical norms. The is typically multivariate, and often the ranges are specified by a multivariate distribution. work presented this paper develops methods new sample distribution with high-dimensional visualisation. It uses projection pursuit guided tour produce sequence...

10.1080/10618600.2025.2468785 article EN other-oa Journal of Computational and Graphical Statistics 2025-02-24

Landslide activity is expected to increase as climate change reduces mountain slope stability. High-Arctic regions like Svalbard are critical for studying dynamics in a changing climate, especially due arctic amplification effects. Despite the significance of Arctic research, empirical evidence these often lacking absence long-term, high-resolution terrain data necessary assess impact meteorological conditions on landscapes severely affected by change. Bridging this gap vital comprehending...

10.5194/egusphere-egu25-17821 preprint EN 2025-03-15

We consider simplified dark matter models where a candidate couples to the standard model (SM) particles via an s-channel spin-2 mediator, and study constraints on parameter space from current LHC data. Our focus lies complementarity among different searches, in particular monojet multijet plus missing-energy searches resonance searches. For universal couplings of mediator SM particles, can give stronger than WW, ZZ, dijet, dihiggs, $$t\bar{t}$$ , $$b\bar{b}$$ low-mass region and/or when...

10.1140/epjc/s10052-017-4871-0 article EN cc-by The European Physical Journal C 2017-05-01

We assess how different ATLAS and CMS searches for supersymmetry in the $$ t\overline{t}+{E}_T^{\mathrm{miss}} final state at Run 1 of LHC constrain scenarios with a fermionic top partner dark matter candidate. find that efficiencies these all-hadronic, 1-lepton 2-lepton channels are quite similar scalar partners. Therefore, general, efficiency maps stop-neutralino simplified models can also be applied to top-partner models, provided narrow width approximation holds latter. Owing much higher...

10.1007/jhep11(2016)107 article EN cc-by Journal of High Energy Physics 2016-11-01

SModelS is a tool for the automatic interpretation of simplified-model results from LHC. Version 1.0 code now publicly available. This document provides quick user guide installing and running v1.0.

10.48550/arxiv.1412.1745 preprint EN other-oa arXiv (Cornell University) 2014-01-01

A mostly right-handed sneutrino as the lightest supersymmetric particle (LSP) is an interesting dark matter candidate, leading to LHC signatures which can be quite distinct from those of conventional neutralino LSP. Using SModelSv1.0.1 for testing model against limits published by ATLAS and CMS in context so-called Simplified Model Spectra (SMS), we investigate what extent supersymmetry searches at Run 1 constrain sneutrino-LSP scenario. Moreover, discuss most relevant topologies no SMS...

10.1007/jhep05(2015)142 article EN cc-by Journal of High Energy Physics 2015-05-01

Discrepancies between measurements of decay modes with an underlying quark level transition $$b\rightarrow s \ell ^+\ell ^-$$ and standard model (SM) predictions have persisted for several years, particularly the muon channels. The inadequacy SM becomes more compelling in a global fit. For example, Capdevila et al. (JHEP 01, 093. arXiv:1704.05340 , 2018) described 175 observables by six parameters encoding new physics quantified disagreement at about $$5\sigma $$ level. While certain one two...

10.1140/epjc/s10052-019-6944-8 article EN cc-by The European Physical Journal C 2019-06-01

The U(1) extended supersymmetric standard model (UMSSM) can accommodate a Higgs boson at 125 GeV without relying on large corrections from the top/stop sector. After imposing LHC results sector, B-physics and new particle searches as well dark matter constraints, we show that this offers two viable candidates, right-handed (RH) sneutrino or neutralino. Limits super-symmetric partners simplified are imposed using SModelS allow for light squarks gluinos. Moreover upper limit relic abundance...

10.1007/jhep09(2015)151 article EN cc-by Journal of High Energy Physics 2015-09-01

We investigate to which extent the SUSY search results published by ATLAS and CMS in context of simplified models actually cover more realistic scenarios a full model. Concretely, we work within phenomenological MSSM (pMSSM) with 19 free parameters compare constraints obtained from SModelS v1.1.1 those pMSSM study arXiv:1508.06608. find that about 40-45% points excluded escape currently available model constraints. For these identify most relevant topologies are not tested current results....

10.1140/epjc/s10052-018-5660-0 article EN cc-by The European Physical Journal C 2018-03-01

Ursula Laaabc* , Dianne Cooka Andreas Bujad & German Valenciaba Department of Econometrics and Business Statistics, Monash University, Melbourne, Australia; b School Physics Astronomy, c Landscape, Spatial Infrastructure Sciences, Institute University Natural Resources Life Vienna, Austria; d Flatiron Institute, Simons Foundation, New York, NY

10.1080/10618600.2022.2035230 article EN Journal of Computational and Graphical Statistics 2022-01-31

A recent paper on visualizing the sensitivity of hadronic experiments to nucleon structure [1] introduces tool PDFSense which defines measures allow user judge PDF fits a given experiment. The is characterized by high-dimensional data residuals that are visualized in 3-d subspace 10 first principal components or using t-SNE [2]. We show how tour, dynamic visualisation high dimensional data, can extend this beyond relationships. This approach enables resolving orthogonal 2-d viewing plane...

10.1140/epjc/s10052-018-6205-2 article EN cc-by The European Physical Journal C 2018-09-01

Taking projections of high-dimensional data is a common analytical and visualization technique in statistics for working with problems. Sectioning, or slicing, through high dimensions less common, but can be useful visualizing concavities, nonlinear structure. It associated conditional distributions statistics, also linked brushing between plots interactive visualization. This short technical note describes simple approach slicing the orthogonal space obtained when running tour, thus...

10.1080/10618600.2020.1777140 article EN Journal of Computational and Graphical Statistics 2020-06-04

In high-dimensional data analysis, the curse of dimensionality reasons that points tend to be far away from center distribution and on edge space. Contrary this, is projected tends clump at center. This gives a sense any structure near projection obscured, whether this true or not. A geometric transformation reverse curse, defined in article, which uses radial transformations data. It integrated seamlessly into grand tour algorithm, we have called it burning sage tour, indicate reverses...

10.1080/10618600.2021.1963264 article EN Journal of Computational and Graphical Statistics 2021-08-02

ATLAS and CMS have been performing a large number of searches for physics beyond the Standard Model (BSM). In particular results supersymmetry (SUSY) are typically interpreted in context simplified models. While mass limits obtained this manner highly model dependent, cross section upper (or efficiency maps) may be used to obtain constraints on generic BSM scenarios without any further event detector simulation. This procedure has automatised public tool SModelS, which first decomposes...

10.22323/1.314.0300 article EN cc-by-nc-nd Proceedings of The European Physical Society Conference on High Energy Physics — PoS(EPS-HEP2021) 2017-11-07

This article describes new user controls for examining high-dimensional data using low-dimensional linear projections and slices. A can interactively change the contribution of a given variable to projection, which is useful exploring sensitivity structure particular variables. The also shift center slice, example, explore how changes in local subspaces. Mathematica package as well example notebooks are provided, contain functions enabling experiment with these manual controls, one...

10.1080/10618600.2023.2206459 article EN Journal of Computational and Graphical Statistics 2023-04-24
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