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Matthew Feickert (University of Wisconsin Madison (US))04/12/2023, 10:00
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Dr Giordon Holtsberg Stark (University of California,Santa Cruz (US))04/12/2023, 10:10
This will warm up new users to what pyhf can do. Experienced users of pyhf will be able to sit back and gain a nice refresher.
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Alexander Held (University of Wisconsin Madison (US))04/12/2023, 11:00
The
cabinetrylibrary provides interfaces and functionality for both the creation and use of statistical models together withpyhf. Models can be built from instructions provided in a declarative configuration. A high-level inference API and visualization utilities help study and disseminate fit results.This talk will provide an overview of...
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Vangelis Kourlitis (Technische Universitat Munchen (DE))04/12/2023, 11:40
This contribution signifies a shift in ATLAS statistical data analysis by implementing traditional fit strategies utilizing the
Go to contribution pagepyhflibrary, alongside thecabinetrylibrary. Leveraging a toy Supersymmetry search analysis, three fit strategies inspired by the HistFitter framework are implemented. The "background-only fit," "model-dependent signal fit," and "model-independent signal fit"... -
Mason Proffitt (University of Washington (US))04/12/2023, 14:00
The ABCD method is a common background estimation method used by many physics searches in particle collider experiments and involves defining four regions based on two uncorrelated observables. The regions are defined such that there is a search region (where most signal events are expected to be) and three control regions. A likelihood-based version of the ABCD method, also referred to as the...
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Dr Carsten Burgard (Technische Universitaet Dortmund (DE)), Robin Pelkner (Technische Universitaet Dortmund (DE))04/12/2023, 14:30
The HEP Statistics Serialization Standard is a new format in which to
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write, store, exchange and archive statistical models. It is based on
JSON and easily readable and writable for both machines and humans. It
is fully interoperable with ROOT workspaces, the current de-facto
standard in the experimental HEP community, and has a concept
implementation in Julia / BAT.jl and intends to be... -
Abe Megahed (Data Science Institute, University of Wisconsin-Madison)04/12/2023, 15:00
HEPExplorer is a web based viewer for high energy particle physics that allows users to view various types of plots from data formatted as HistFactory workspaces. This simple tool provides an easy-to-use and convenient way to generate plots, perform fits, and to investigate the impact of various parameters on the model performance using HistFactory workspaces.
HF Explorer is intended to be...
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Volker Andreas Austrup (University of Manchester (GB))04/12/2023, 15:30
pyhf, in combination with cabinetry, has been used successfully in a statistical combination of searches for Beyond-Standard-Model particles by the ATLAS Combination. Since for the individual searches various different frameworks were used to perform the statistical analysis, an essential part of the combination effort consisted of validating the statistical workspaces after they had been...
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Graeme Watt05/12/2023, 10:00
I will give an overview of the HEPData project (hepdata.net), a repository for publication-related data from experimental particle physics. I will describe current support for hosting statistical models in the HistFactory JSON format used by pyhf, as well as links with analysis frameworks like Rivet and MadAnalysis 5. The HEPData software is open source under the...
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Iñaki Lara Perez05/12/2023, 10:30
I will present new features of CheckMATE, in particular implementation of multibin fits in a number of ATLAS and CMS searches.
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I will discuss some examples of implemented analysis, show an application of the method to electroweakino scenarios and discuss notable improvements in exclusion range due to CMS multijet search. -
Nikita Schmal05/12/2023, 11:00
The SFitter analysis framework has been used for many global analyses, making use of a comprehensive treatment of uncertainties and their correlations to provide constraints on the Standard Model Effective Field Theory (SMEFT). Due to the nature of global analyses, this requires the implementation of a large number of different experimental measurements. The publication of likelihoods by the...
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Luis Alberto Mora Lepin (University of Manchester (GB))05/12/2023, 14:00
The MicroBooNE detector is a liquid argon time projection chamber located on the Fermilab campus. It has excellent calorimetric and spatial reconstruction capabilities. Moreover, MicroBooNE is exposed to two neutrino beams, the Booster Neutrino Beam (on-axis) and the Neutrinos at the Main Injector beam (off-axis). These outstanding features make MicroBooNE an ideal experiment to search for...
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Fabian Becherer (DESY)05/12/2023, 14:30
The Belle II experiment, located at the SuperKEKB e$^{+}$e$^{−}$ collider at KEK (Japan), precisely measures the Standard Model parameters analyzing various flavor physics processes to search for new physics beyond the Standard Model. It has collected a data set with an integrated luminosity of 428 fb$^{−1}$ and a peak instantaneous luminosity of 4.7 × 10$^{34}$ cm$^{−2}$ s$^{−1}$. The physic...
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Sabine Kraml (LPSC Grenoble)05/12/2023, 15:00
I will discuss the use we make of published statistical models and patchsets in SModelS. I'll cover benefits as well as difficulties encountered, and wishes for future developments.
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05/12/2023, 15:30
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Jack Y. Araz (Jefferson Lab)05/12/2023, 16:00
In this talk, we will provide an overview of the usage of full likelihoods through
Go to contribution pagepyhfpackage within LHC reinterpretation studies and software such as [MadAnalysis 5][1], [SModelS][2] and [spey][3]. We will also provide a summary of future directions involvingpyhfpackage, such as the combination of statistical models, simplified likelihoods via ML approaches and converting full... -
Kyle Stuart Cranmer (University of Wisconsin Madison (US))05/12/2023, 16:30
I'll share a few thoughts on the past, present, and future of the HistFactory specification and pyhf.
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Kyle Stuart Cranmer (University of Wisconsin Madison (US))05/12/2023, 17:00
The US National Science Foundation has funded a 3-year "Research Coordination Network" called FAIROS-HEP. FAIROS-HEP aims to foster the adoption of practices and cyberinfrastructure to enable reuse and reinterpretation of high energy physics (HEP) datasets. The network has funds to support international workshops and to contribute directly to cyberinfrastructure components such as INSPIRE,...
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Dr Giordon Holtsberg Stark (University of California,Santa Cruz (US)), Matthew Feickert (University of Wisconsin Madison (US))06/12/2023, 10:00
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Dr Giordon Holtsberg Stark (University of California,Santa Cruz (US)), Lukas Alexander Heinrich (Technische Universitat Munchen (DE)), Matthew Feickert (University of Wisconsin Madison (US))06/12/2023, 14:00
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Dr Giordon Holtsberg Stark (University of California,Santa Cruz (US)), Matthew Feickert (University of Wisconsin Madison (US))06/12/2023, 16:00
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Manfred Peter Fackeldey (RWTH Aachen University (DE))07/12/2023, 10:00
Go to contribution pagedilaxis a software package for statistical inference with binned likelihoods. It focusses on three key concepts: performance, differentiability, and object-oriented statistical model building. Thus,dilaxis build upon the shoulders of a deep learning giant: JAX - a popular autodifferentiation Python framework. By making every component indilaxaPyTree, each component can be... -
Dr Giordon Holtsberg Stark (University of California,Santa Cruz (US)), Lukas Alexander Heinrich (Technische Universitat Munchen (DE)), Matthew Feickert (University of Wisconsin Madison (US))07/12/2023, 11:00
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Dr Giordon Holtsberg Stark (University of California,Santa Cruz (US)), Lukas Alexander Heinrich (Technische Universitat Munchen (DE)), Matthew Feickert (University of Wisconsin Madison (US))07/12/2023, 11:15
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