Jump to: Fellows - Projects - Presentations - Publications - Videos

Analysis Systems

The goal of the Analysis Systems focus area is to develop sustainable analysis tools to extend the physics reach of the HL-LHC experiments by creating greater functionality, reducing time-to-insight, lowering the barriers for smaller teams, and streamlining analysis preservation, reproducibility, and reuse.

Focus Area Strategies:

Establish declarative specifications for analysis tasks and workflows that will enable the technical development of analysis systems to be decoupled from the user- facing semantics of physics analysis.
Leverage and align with developments from industry and the broader scientific software community to enhance sustainability of the analysis systems.
Develop high-throughput, low-latency systems for analysis for HEP.
Integrate analysis capture and reuse as first class concepts and capabilities into the analysis systems.

Contact us: as-team@iris-hep.org

Thomas Boettcher

Kyle Cranmer

Tal van Daalen

Irina Espejo

Ianna Osborne

Current and Previous AS Fellows

Ajay Rawat

Anish Biswas

Jason Hipkins

Mihir Katare

Nicholas Decheine

Santam Roy Choudhury

Shuo Liu

Storm Lin

AS Projects

abcd-pyhf
Likelihood-based ABCD method with pyhf
More information
Development

ADL Benchmarks
Functionality benchmarks for analysis description languages
More information
Deployed

AmpGen
Generation and fitting for multibody hadron decays
More information
Deployed

Analysis Grand Challenge
Analysis Grand Challenge
More information
Development

awesome-hep
A curated list of awesome high energy and particle physics software
More information
Deployed

Awkward Array
Manipulate arrays of complex data structures
More information
Deployed

Awkward-Dask
Developing a new high-level Dask collection for Awkward Arrays
More information
Testing

cabinetry
Building and steering template fits
More information
Deployed

Coffea-Casa
A Prototype of Analysis Facility
More information
Testing

DecayLanguage
Describe and convert particle decays
More information
Deployed

exploratory-ml
Analysis Reinterpretation
More information
Development

Functional ADL
Functional Analysis Description Language
More information
Deployed

HEP Tables
Heterogeneous Distributed Array Programming Environment
More information
Deployed

Histogram projects
Histogramming efforts
More information
Deployed

MadMiner
Likelihood-free Inference
More information
Deployed

Particle
Pythonic particle information
More information
Deployed

ppx
Cross-platform Probabilistic Programming eXecution protocol
More information
Deployed

pyhf
Differentiable likelihoods
More information
Deployed

recast
Analysis Reinterpretation
More information
Deployed

ROOT on Conda-Forge
Use ROOT in Conda through Conda-Forge
More information
Deployed

Scikit-HEP
Pythonic analysis tools
More information
Deployed

uproot
Read and write ROOT files in Python
More information
Deployed

Vector
Manipulate vectors
More information
Deployed

AS Presentations

3 Aug 2022 - "Columnar data analysis (tutorial)", Jim Pivarski, Fourth Computational and Data Science for High Energy Physics (CoDaS-HEP) School
25 Jul 2022 - "Awkward Arrays: Accelerating scientific data analysis on irregularly shaped data (poster)", Jim Pivarski, NSF Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Principal Investigator Meeting
21 Jul 2022 - "Feedback from Data and Analysis Preservation, Recasting, and Reinterpretation white paper authors", Matthew Feickert, Seattle Snowmass Summer Meeting 2022
15 Jul 2022 - "Analysis as Applications: Quick introduction to lockfiles", Matthew Feickert, 21st Python in Science Conference (SciPy 2022)
11 Jul 2022 - "Loopy and Unloopy programming techniques (tutorial)", Jim Pivarski, SciPy 2022 Conference
9 Jul 2022 - "The IRIS-HEP Analysis Grand Challenge", Alexander Held, ICHEP 2022
8 Jul 2022 - "pyhf: a pure-Python statistical fitting library with tensors and automatic differentiation", Matthew Feickert, International Conference on High Energy Physics (ICHEP) 2022
29 Jun 2022 - "Modern Python analysis ecosystem for High Energy Physics" , Matthew Feickert, The Python Exchange for DOE Employees (DOEPy)
28 Jun 2022 - "pyhf tutorial", Alexander Held, Hybrid ATLAS Induction Day + Software Tutorial
13 Jun 2022 - "IRIS-HEP Analysis Grand Challenge: Status & plans", Alexander Held, ATLAS Software & Computing Week
9 Jun 2022 - "Introduction to pyhf and experience in the context of ATLAS", Alexander Held, ATLAS Statistics Forum Meeting
23 May 2022 - "Analysis user experience with the Python HEP ecosystem", Jim Pivarski, Analysis Ecosystems Workshop II
10 May 2022 - "Awkward Array to RDataFrame and back", Ianna Osborne, ROOT Users Workshop
10 May 2022 - "ROOT: Homebrew and Pip plans", Henry Schreiner, ROOT user's workshop
30 Apr 2022 - "Scikit-HEP Developer Pages: Guidelines for modern packaging", Henry Schreiner, PyCon US 2022 Lightning talks

29 Apr 2022 - "Building a Binary Extension", Henry Schreiner, PyCon US 2022
26 Apr 2022 - "Analysis user experience with Python HEP data science tools in ATLAS", Matthew Feickert, IRIS-HEP AGC Tools 2022 Workshop
25 Apr 2022 - "IRIS-HEP Analysis Grand Challenge Tools Workshop", Oksana Shadura, RIS-HEP AGC Tools 2022 Workshop
25 Apr 2022 - "Statistical inference: pyhf and cabinetry", Matthew Feickert, IRIS-HEP AGC Tools 2022 Workshop
25 Apr 2022 - "Foundation libraries (uproot, awkward, hist, mplhep)", Mason Proffitt, IRIS-HEP AGC Tools 2022 Workshop
25 Apr 2022 - "From data delivery to statistical inference with CMS Open Data", Alexander Held, IRIS-HEP AGC Tools 2022 Workshop
6 Apr 2022 - "Awkward Array Updates", Jim Pivarski, PyHEP Topical Meeting
5 Apr 2022 - "Analysis Grand Challenge updates", Oksana Shadura, IRIS-HEP / Ops Program Analysis Grand Challenge Planning
1 Apr 2022 - "Report about HSF Analysis Facilities Forum Kick-off meeting", Oksana Shadura, CMS Spring 2022 O&C Week
25 Mar 2022 - "AFs in the context of the IRIS-HEP AGC", Alexander Held, Analysis Facilities Forum Kick-off Meeting
21 Mar 2022 - "Metrics of computing trends in NHEP", Jim Pivarski, IRIS-HEP Topical Meeting
15 Mar 2022 - "Introduction to cabinetry", Alexander Held, ATLAS SUSY Background Forum
8 Mar 2022 - "Causality at the intersection of simulation, inference, science, and learning", Kyle Cranmer, Understanding the nature of Inference: Correlation and Causation. The Franke Program in Science ant the Humanities
1 Mar 2022 - "Analysis Grand Challenge updates", Alexander Held, IRIS-HEP / Ops Program Analysis Grand Challenge Planning
18 Feb 2022 - "Vignettes in physics-inspired AI research" , Kyle Cranmer, NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI) Public Colloquia
8 Feb 2022 - "History and Adoption of Programming Languages in NHEP", Jim Pivarski, JLab Software and Computing Round Table
7 Feb 2022 - "Accelerating Simulation-based Inference" , Kyle Cranmer, Seminar for A3D3 (Accelerated Artificial Intelligence Algorithms for Data-Driven Discovery)
28 Jan 2022 - "Analysis Grand Challenge updates", Oksana Shadura, IRIS-HEP / Ops Program Analysis Grand Challenge Planning
16 Dec 2021 - "Analysis Grand Challenge updates", Oksana Shadura, IRIS-HEP Executive Board / Ops Program Grand Challenge Discussion
15 Dec 2021 - "Incorporating uncertainty at the LHC", Kyle Cranmer, Information and Statistics in Nuclear Experiment and Theory (ISNET 8)
13 Dec 2021 - "Inductive bias: lessons learned from physics", Kyle Cranmer, Physical Reasoning and Inductive Biases for the Real World workshop at NeurIPS 2021
7 Dec 2021 - "New Computing Paradigms for HEP Analysis", Gordon Watts, RTG Colloquium - Aachen University
6 Dec 2021 - "Programming Languages, Toolkits, and Communities in Particle Physics Data Analysis", Jim Pivarski, University of Virginia High Energy Physics Seminars
1 Dec 2021 - "pyhf: pure-Python implementation of HistFactory with tensors and automatic differentiation", Matthew Feickert, CMS Analysis Tools Task Force
1 Dec 2021 - "Declarative interfaces for HEP data analysis: FuncADL and ADL/CutLang", Mason Proffitt, ACAT 2021
1 Dec 2021 - "Lessons learned in Python-C++ integration", Jim Pivarski, ACAT 2021
1 Dec 2021 - "Python histogram developments (poster)", Henry Schreiner, ACAT 2021
30 Nov 2021 - "ServiceX - Making everything Columnar", Gordon Watts, ACAT 2021
30 Nov 2021 - "Analysis Grand Challenge updates", Alexander Held, Steering Board Meeting
22 Nov 2021 - "Coffea-casa news and developments", Oksana Shadura, Coffea Users Meeting
19 Nov 2021 - "Panel: Intersection of Large-Scale Experimental Science and High-Performance Computing", Mark Neubauer, Workshop on Extreme-Scale Experiment-in-the-Loop Computing (XLOOP 2021)
17 Nov 2021 - "Deep Dive - Analysis Grand Challenge", Oksana Shadura, NSF / IRIS-HEP Meeting (November 2021)
16 Nov 2021 - "Simulation-based inference for gravitational wave astronomy" , Kyle Cranmer, Workshop III: Source Inference and Parameter Estimation in Gravitational Wave Astronomy
9 Nov 2021 - "Analysis Facilities", Oksana Shadura, CMS Operations & Computing R&D meeting
6 Nov 2021 - "Panel: Sins and marvels of AI research" , Kyle Cranmer, ML in PL (Machine Learning in Poland)
4 Nov 2021 - "Scale-out with coffea", Oksana Shadura, IRIS-HEP AGC Tools 2021 Workshop
3 Nov 2021 - "Queries with func_adl" , Mason Proffitt, IRIS-HEP AGC Tools 2021 Workshop
3 Nov 2021 - "Data handling: uproot, awkward & vector" , Mason Proffitt, IRIS-HEP AGC Tools 2021 Workshop
3 Nov 2021 - "Three approaches to Systematics with Machine Learning", Kyle Cranmer, PhyStat Systematics
3 Nov 2021 - "A call to action: Honoring PHYSTAT's 20 year old agreement", Kyle Cranmer, PhyStat Systematics
3 Nov 2021 - "From data delivery to statistical inference: ServiceX, coffea, cabinetry & pyhf", Alexander Held, IRIS-HEP AGC Tools 2021 Workshop
2 Nov 2021 - "Analysis Grand Challenge", Oksana Shadura, SwiftHep/ExcaliburHep workshop
27 Oct 2021 - "Distributed statistical inference with pyhf powered by funcX", Matthew Feickert, Parsl & funcX Fest 2021
27 Sep 2021 - "Awkward suggestions for the Julia Workshop", Jim Pivarski, Julia for HEP mini-workshop
24 Sep 2021 - "Coffea-casa - an analysis facility prototype", Oksana Shadura, Joint AMG and WFMS Meeting on Analysis Facilities
21 Sep 2021 - "pyhf and cabinetry", Alexander Held, ATLAS SUSY Workshop 2021
18 Sep 2021 - "AI and Physics", Kyle Cranmer, Sparks! Serendipity Forum
13 Sep 2021 - "Uproot/Awkward Array tutorial for STAR", Jim Pivarski, STAR Junior's meeting
13 Sep 2021 - "TBD", Kyle Cranmer, STFC Summer School on Data Intensive Science 2021
27 Aug 2021 - "Uproot Tutorial", Mason Proffitt, Software Carpentry (Virtual)
19 Aug 2021 - "Virtual Meetings Workshop Summary", Mark Neubauer, International Union of Pure & Applied Physics: Particles and Fields Meeting
18 Aug 2021 - "Systematics in the context of machine learning", Kyle Cranmer, PhyStat-Systematics
18 Aug 2021 - "Studying the effectiveness of inductive bias with a physics-inspired generative model", Kyle Cranmer, Mathematical and Scientific Machine Learning (MSML21)
4 Aug 2021 - "Machine learning round-table discussion" , Kyle Cranmer, A Virtual Tribute to Quark Confinement and the Hadron Spectrum 2021
4 Aug 2021 - "Simulation-based inference: recent progress and open questions", Kyle Cranmer, Statistical Approaches to Understanding Modern ML Methods
16 Jul 2021 - "pybind11" , Henry Schreiner, SciPy 2021
15 Jul 2021 - "Distributed statistical inference with pyhf powered by funcX" , Matthew Feickert, 20th Python in Science Conference (SciPy 2021)
14 Jul 2021 - "Awkward Array 3-minute update", Jim Pivarski, SciPy 2021 (Tools plenary)
12 Jul 2021 - "Explorations at the Physics-AI Interface" , Kyle Cranmer, From Quarks to Cosmos with AI 2021 (NSF AI Planning Institute for Data-Driven Discovery in Physics)
9 Jul 2021 - "FuncADL: Functional Analysis Description Language" , Mason Proffitt, PyHEP 2021 Workshop
9 Jul 2021 - "Using Python, coffea, and ServiceX to Rediscover the Higgs. Twice." , Gordon Watts, PyHEP 2021
8 Jul 2021 - "Powerful Python Packaging for Scientific Codes" , Henry Schreiner, PyHEP 2021 Workshop
8 Jul 2021 - "Simulation-Based Inference" , Kyle Cranmer, Applied Cutting-Edge Machine Learning in Cosmology and Particle Physics @ PASC21
7 Jul 2021 - "High-Performance Histogramming for HEP Analysis" , Henry Schreiner, PyHEP 2021 Workshop
7 Jul 2021 - "MadMiner: a python based tool for simulation-based inference in HEP" , Kyle Cranmer, PyHEP 2021
6 Jul 2021 - "Distributed statistical inference with pyhf" , Matthew Feickert, PyHEP 2021 Workshop
6 Jul 2021 - "Uproot/Awkward Array tutorial", Jim Pivarski, PyHEP 2021
6 Jul 2021 - "Binned template fits with cabinetry", Alexander Held, PyHEP 2021 Workshop
14 Jun 2021 - "Uproot Awkward Columnar HATS", Jim Pivarski, Hands-on Advanced Tutorial Sessions at the LPC
9 Jun 2021 - "Advances in Analysis tools/ecosystem", Oksana Shadura, 9th Edition of the Large Hadron Collider Physics Conference
2 Jun 2021 - "How to give a good Jupyter talk talk", Jim Pivarski, PyHEP Module of the Month
26 May 2021 - "Refactoring Awkward Array", Jim Pivarski, Analysis Systems biweekly meeting
21 May 2021 - "New Dask collection type for Awkward Arrays", Jim Pivarski, Dask Distributed Summit
20 May 2021 - "Distributed statistical inference with pyhf enabled through funcX" , Matthew Feickert, vCHEP 2021 Conference
19 May 2021 - "AwkwardForth: accelerating Uproot with an internal DSL", Jim Pivarski, vCHEP 2021
19 May 2021 - "hep_tables - Heterogeneous Array Programming for HEP", Gordon Watts, CHEP 2021
19 May 2021 - "Building and steering template fits with cabinetry", Alexander Held, 25th International Conference on Computing in High Energy & Nuclear Physics
18 May 2021 - "FuncADL: Functional Analysis Description Language", Mason Proffitt, vCHEP 2021
6 May 2021 - "Day 2 Topics and Goals", Mark Neubauer, Virtual Meetings Blueprint Workshop
5 May 2021 - "Welcome, IRIS-HEP Blueprint Activity & Workshop Overview", Mark Neubauer, Virtual Meetings Blueprint Workshop
5 May 2021 - "Explorations at the Physics ∩ ML Interface" , Kyle Cranmer, Physics ∩ ML seminar series
4 May 2021 - "Pythonic Data Science", Jim Pivarski, HL-LHC Analysis Mini-Workshop
27 Apr 2021 - "Analysis Systems Overview", Kyle Cranmer, IRIS-HEP Annual PI/EB Meeting
26 Apr 2021 - "An AI revolution in science? Using machine learning for scientific discovery", Kyle Cranmer, University of Cambridge Accelerate Programme for Scientific Discovery
22 Apr 2021 - "Towards a white paper on public likelihoods", Kyle Cranmer, LHC Re-interpretation Forum
9 Apr 2021 - "IRIS-HEP and ATLAS Analysis Software", Gordon Watts, ATLAS Analysis Model Group (AMG) Meeting
7 Apr 2021 - "PyHEP pyhf Tutorial" , Matthew Feickert, PyHEP Python Module of the Month (April 2021)
2 Apr 2021 - "Invited Keynote for AISTATS: Simulation-Based Inference", Kyle Cranmer, AISTATS
25 Mar 2021 - "Graph Deep Learning for Physics", Kyle Cranmer, Università della Svizzera
9 Mar 2021 - "Probabalistic Machine Learning for the Physical Sciences", Kyle Cranmer, Advanced Topics in Machine Learning Course
2 Mar 2021 - "Machine Learning for Precision Measurements", Kyle Cranmer, Unveiling hidden Physics Beyond the Standard Model at the LHC
25 Feb 2021 - "The cabinetry library", Alexander Held, ATLAS Statistics Forum Meeting
18 Feb 2021 - "MadMiner tutorial", Kyle Cranmer, (Re)interpreting the results of new physics searches at the LHC
3 Feb 2021 - "PyHEP Numba tutorial", Jim Pivarski, PyHEP module of the month
11 Jan 2021 - "MadMiner: Machine learning–based inference for particle physics", Kyle Cranmer, LHC EFT Working Group
18 Dec 2020 - "Some fun examples from the intersection of machine learning and physics", Kyle Cranmer, ML in PL
15 Dec 2020 - "Summary of Future Analysis Systems and Facilities Workshop", Mark Neubauer, Workflow Management System Software Technical Interchange Meeting
15 Dec 2020 - "IRIS-HEP: Analysis in the HL-LHC Era", Gordon Watts, WFM SW Technical Interchange Meeting
8 Dec 2020 - "Steps Towards Differentiable and Scalable Physics Analyses at the LHC", Matthew Feickert, Argonne Lunch Seminar
8 Dec 2020 - "How machine learning can help us get the most out of our highest fidelity physical models", Kyle Cranmer, AI for Atoms
4 Dec 2020 - "Workshop Overview and Goals", Mark Neubauer, Mini-Workshop on Portable Inference
4 Dec 2020 - "Fitting and Statistical Inference as a Service", Matthew Feickert, Mini-Workshop on Portable Inference
3 Dec 2020 - "Machine Learning for high energy physics on and off the lattice", Kyle Cranmer, ECT* Colloqium (European Center for Theoretical Studies in Nuclear Physics and Related Areas)
26 Nov 2020 - "Modern Tools for Reusable Publications and Data Products", Matthew Feickert, LPSC Grenoble Colloquium
23 Nov 2020 - "How machine learning can help us get the most out of high-precision particle physics models", Johann Brehmer, JLab theory seminar
20 Nov 2020 - "Survey and status of Pythonic HEP analysis tools", Jim Pivarski, CMS Physics Workshop on Analysis Tools and Techniques
12 Nov 2020 - "How machine learning can help us get the most out of high-precision particle physics models", Johann Brehmer, DESY-HU theory seminar
3 Nov 2020 - "pyhf: pure-Python implementation of HistFactory with tensors and automatic differentiation", Matthew Feickert, Tools for High Energy Physics and Cosmology 2020 Workshop
30 Oct 2020 - "New experimental analysis techniques", Kyle Cranmer, Higgs2020
26 Oct 2020 - "Madminer on REANA", Sinclert Pérez, IRIS-HEP Future Analysis Systems and Facilities Blueprint Workshop
26 Oct 2020 - "Welcome, IRIS-HEP Blueprint Activity and Workshop Overview", Mark Neubauer, Future Analysis Systems and Facilities Blueprint Workshop
26 Oct 2020 - "Toward Fitting as a Service with pyhf", Matthew Feickert, IRIS-HEP Future Analysis Systems and Facilities Blueprint Workshop
26 Oct 2020 - "Data Selection & Delivery for Analysis: ServiceX & funcADL", Mason Proffitt, Future Analysis Systems and Facilities
26 Oct 2020 - "Access & Manipulation of Complex Data Structures: Uproot & Awkward Array", Jim Pivarski, Future Analysis Systems and Facilities
26 Oct 2020 - "An Integrated Data Query Pipeline: HEPTables", Gordon Watts, IRIS-HEP Future Analysis Systems and Facilities Blueprint Workshop
26 Oct 2020 - "End-to-End Analysis Vision & AS Grand Challenge", Kyle Cranmer, IRIS-HEP Future Analysis Systems and Facilities Blueprint Workshop
26 Oct 2020 - "Template-based Fitting: cabinetry", Alexander Held, IRIS-HEP Future Analysis Systems and Facilities Blueprint Workshop
19 Oct 2020 - "Vision: Physics, Machine Learning, and Computing", Kyle Cranmer, 2020 Accelerated Artificial Intelligence for Big-Data Experiments Conference
16 Oct 2020 - "ServiceX Front End Status", Gordon Watts, ServiceX Meeting
14 Oct 2020 - "Likelihood publishing, RECAST, and simulation-based inference", Kyle Cranmer, PhyStat / CERN EP-IT Data science seminar
2 Oct 2020 - "ServiceX Front End Status", Gordon Watts, ServiceX Meeting
1 Oct 2020 - "Future of User Analysis", Jim Pivarski, LHCb Computing Workshop
24 Sep 2020 - "How machine learning can help us get the most out of our highest fidelity physical models", Kyle Cranmer, NYU Physics Colloquium
22 Sep 2020 - "Reusable Workflows, active learning, and simulation-based inference", Kyle Cranmer, UCI Symposium on Reproducibility in Machine Learning
26 Aug 2020 - "Constraining EFTs and Dark Matter with Simulation-based Inference", Kyle Cranmer, BSM PANDEMIC
11 Aug 2020 - "Measuring Python adoption by CMS physicists using GitHub API", Jim Pivarski, Snowmass Computational Frontier Workshop 2020
11 Aug 2020 - "Differentiable physics analyses", Alexander Held, Snowmass Computational Frontier Workshop
10 Aug 2020 - "Likelihood Publication and Preservation", Matthew Feickert, Snowmass 2021 Computational Frontier Workshop
10 Aug 2020 - "Lectures on Statistics", Kyle Cranmer, 15th joint Fermilab-CERN Hadron Collider Summer School
21 Jul 2020 - "How machine learning can help us get the most out of our highest fidelity physical models", Kyle Cranmer, Machine Learning in Science 2020
18 Jul 2020 - "NOTAGAN: Normalizing flows for simultaneous manifold learning and density estimation", Johann Brehmer, INNF+: Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models
17 Jul 2020 - "The boost-histogram package" , Henry Schreiner, PyHEP 2020 Workshop
17 Jul 2020 - "Graphs, Trees, and Sets: structured data in physics", Kyle Cranmer, ICML Workshop on Graph Representation Learning
17 Jul 2020 - "Likelihood-based models for Simulation-based Inference", Kyle Cranmer, ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models
16 Jul 2020 - "pyhf Tutorial: Accelerating analyses and preserving likelihoods" , Matthew Feickert, PyHEP 2020 Workshop
15 Jul 2020 - "Uproot and Awkward Array tutorial", Jim Pivarski, PyHEP 2020
15 Jul 2020 - "Flows for simultaneous manifold learning and density estimation", Johann Brehmer, mlclub.net
8 Jul 2020 - "How machine learning can help us get the most out of our highest fidelity physical models", Kyle Cranmer, ELLIS SOCIETY: AI4Science Kickoff Workshop
7 Jul 2020 - "pyhf: a pure Python statistical fitting library with tensors and autograd" , Matthew Feickert, 19th Python in Science Conference (SciPy 2020)
7 Jul 2020 - "Boost-histogram: High-Performance Histograms as Objects" , Henry Schreiner, 19th Python in Science Conference (SciPy 2020)
5 Jul 2020 - "Awkward Array: Manipulating JSON like Data with NumPy like Idioms", Jim Pivarski, SciPy 2020
2 Jul 2020 - "The interplay of Math, Physics, and Machine Learning", Kyle Cranmer, IST seminar series Mathematics, Physics & Machine Learning
8 Jun 2020 - "Uproot Awkward columnar HATS", Jim Pivarski, LPC HATS: Hands-on Training for CMS
31 May 2020 - "How machine learning can help us get the most out of our highest fidelity physical models", Kyle Cranmer, Tel Aviv University Physics Department Colloquium
29 May 2020 - "Future Blueprint Topics: Year 3 Plans, 4 and 5 Year Thoughts", Mark Neubauer, IRIS-HEP Team Retreat
29 May 2020 - "Analysis Grand Challenge Closeout", Kyle Cranmer, IRIS-HEP Team Retreat
29 May 2020 - "Analysis Systems Plans and Goals Closeout", Kyle Cranmer, IRIS-HEP Team Retreat
28 May 2020 - "IRIS-HEP Innovative Algorithms: R&D and Machine Learning for Jets", Kyle Cranmer, IRIS-HEP Team Retreat
28 May 2020 - "Analysis Grand Challenge Proposal", Kyle Cranmer, IRIS-HEP Team Retreat
27 May 2020 - "pyhf Roadmap for IRIS-HEP Execution Phase", Matthew Feickert, 2020 IRIS-HEP Team Retreat
27 May 2020 - "Analysis Systems Overview and Plans", Kyle Cranmer, IRIS-HEP Team Retreat
27 May 2020 - "Cabinetry introduction", Alexander Held, 2020 IRIS-HEP Team Retreat
26 May 2020 - "Parallel Sessions: Plans and Goals", Gordon Watts, IRIS-HEP Team Retreat
8 May 2020 - "hep_tables: An Introduction", Gordon Watts, Coffea Developers Meeting
7 May 2020 - "How machine learning can help us get the most out of our highest fidelity physical models", Kyle Cranmer, MIT Physics Department Colloquium
8 Apr 2020 - "Uproot and Awkward Array tutorials for the Electron Ion Collider", Jim Pivarski, Electron Ion Collider User's meeting
23 Mar 2020 - "ServiceX: A distributed, caching, columnar data delivery service", Marc Weinberg, HSF DAWG -- DOMA Access joint meeting
17 Mar 2020 - "Future Analysis Systems", Kyle Cranmer, Joint US ATLAS - US CMS Meeting on Facility R&D
16 Mar 2020 - "Reusable workflows in particle physics", Kyle Cranmer, Workshop on Accelerating Scientific Discovery through Advanced and Automated Workflows
12 Mar 2020 - "pyhf and thoughts about analysis workflow", Alexander Held, ATLAS Statistics Committee Meeting
5 Mar 2020 - "Artificial Intelligence for High-Energy Physics", Mark Neubauer, Artificial Intelligence for Nuclear Physics Workshop
5 Mar 2020 - "Machine Learning and Physics", Kyle Cranmer, Special QU-PCD Colloquium at DESY (CANCELED due to COVID19)
3 Mar 2020 - "Machine Learning for Effective Field Theories", Kyle Cranmer, PREFIT20: PRecision Effective FIeld Theory School
27 Feb 2020 - "Integrating Cyberinfrastructure components", Sinclert Pérez, IRIS-HEP Poster Session
27 Feb 2020 - "ServiceX", Marc Weinberg, IRIS-HEP Poster Session
27 Feb 2020 - "pyhf: A Pure Python Statistical Fitting Library with Tensors and Autograd", Matthew Feickert, IRIS-HEP Postdoc Presentations
27 Feb 2020 - "pyhf: Pure Python Implementation of HistFactory", Matthew Feickert, IRIS-HEP Poster Session 2020
27 Feb 2020 - "Functional Analysis Description Language (FuncADL)", Mason Proffitt, IRIS-HEP Poster Session
27 Feb 2020 - "Awkward Arrays for Analysis Systems", Jim Pivarski, IRIS-HEP Review
27 Feb 2020 - "Boost-Histogram for Analysis Systems (poster)", Henry Schreiner, IRIS-HEP Poster Session
27 Feb 2020 - "Rethinking final analysis stages (poster)", Alexander Held, IRIS-HEP Poster Session
17 Feb 2020 - "Mining for Dark Matter substructure: Learning from lenses without a likelihood", Johann Brehmer, Dark Matter Working Group seminar
5 Feb 2020 - "The frontier of simulation-based inference", Johann Brehmer, Workshop on Machine Learning at the LHC
28 Jan 2020 - "HEPData and IRIS-HEP", Kyle Cranmer, HEPData Advisory Board
6 Jan 2020 - "Normalizing flows and the likelihood ratio trick in particle physics", Johann Brehmer, Deep learning seminar
14 Dec 2019 - "Mining gold: Improving simulation-based inference with latent information (poster)", Johann Brehmer, NeurIPS 2019 workshop on Machine Learning and the Physical Sciences
29 Nov 2019 - "uproot Tutorial", Mason Proffitt, Software Carpentry at CERN
25 Nov 2019 - "An introduction to pyhf and HistFactory likelihoods", Matthew Feickert, LHCb Statistics Working Group
21 Nov 2019 - "Analysis Tools in the 2020's and 2030's", Gordon Watts, Latin American Workshop on Software and Computing (S&C) Challenges in High-Energy Particle Physics (HEP)
19 Nov 2019 - "Flows three ways", Kyle Cranmer, Deep Learning for Physics Seminar Series at Princeton Center for Theoretical Physics
7 Nov 2019 - "Likelihood preservation and statistical reproduction of searches for new physics", Matthew Feickert, CHEP 2019 Conference
7 Nov 2019 - "HEP Data Query Challenges", Mason Proffitt, CHEP 2019
7 Nov 2019 - "Ragged, jagged, nested, indirected, very awkward arrays", Jim Pivarski, CHEP 2019
7 Nov 2019 - "Recent developments in histogram libraries", Henry Schreiner, CHEP 2019
7 Nov 2019 - "Aligning the MATHUSLA Detector Test Stand with Tensor Flow", Gordon Watts, CHEP 2019
7 Nov 2019 - "Constraining effective field theories with machine learning", Alexander Held, 24th International Conference on Computing in High Energy & Nuclear Physics
5 Nov 2019 - "pyhf: a pure Python implementation of HistFactory with tensors and autograd (poster)", Matthew Feickert, CHEP 2019 Conference
5 Nov 2019 - "Using Analysis Declarative Languages for the HL-LHC", Gordon Watts, CHEP 2019
5 Nov 2019 - "A Functional Declarative Analysis Language in Python (poster)", Emma Torro, CHEP 2019
2 Nov 2019 - "Analysis workflows", Gordon Watts, CHEP 2019
29 Oct 2019 - "Harmonizing statistics tools - ideas", Alexander Held, ATLAS Statistics Committee Meeting
18 Oct 2019 - "pyhf: pure-Python implementation of HistFactory", Matthew Feickert, PyHEP 2019 Workshop
17 Oct 2019 - "Awkward 1.0", Jim Pivarski, PyHEP Workshop
17 Oct 2019 - "Boost-Histogram: Hands-on", Henry Schreiner, PyHEP 2019
17 Oct 2019 - "Python Histogramming Packages", Henry Schreiner, PyHEP 2019
17 Oct 2019 - "Simulation-based inference, interpretability, and experimental design", Kyle Cranmer, Workshop on Interpretable Learning in Physical Sciences Part of the Long Program Machine Learning for Physics and the Physics of Learning
16 Oct 2019 - "Lightning Talk: A Living HEP Analysis", Gordon Watts, PyHEP
5 Oct 2019 - "Particle Physics in the context of Data Science", Kyle Cranmer, The 6th IEEE International Conference on Data Science and Advanced Analytics
30 Sep 2019 - "Run 3/Run 4 Perspectives - Event Delivery Impacts?", Gordon Watts, HSF & ATLAS Joint Event Delivery Workshop
30 Sep 2019 - "What does the Revolution in Artificial Intelligence Mean for Physics?", Kyle Cranmer, Joint PITT-CMU Physics Department Colloquium
27 Sep 2019 - "Simulation-based inference, causality, and active learning", Kyle Cranmer, AI and the Scientific Method, ETH, Zurich
26 Sep 2019 - "Declarative programming: A paradigm shift in data analysis in preparation for the HL-LHC", Gordon Watts, eScience2019
14 Sep 2019 - "Jagged, ragged, awkward arrays", Jim Pivarski, Strange Loop 2019
13 Sep 2019 - "Histogramming and more", Henry Schreiner, 2019 IRIS-HEP Institute Retreat
13 Sep 2019 - "func-adl to C++/xAOD backend", Gordon Watts, IRIS-HEP Institute Retreat
12 Sep 2019 - "pyhf Roadmap: 2019 into 2020", Matthew Feickert, 2019 IRIS-HEP Institute Retreat
12 Sep 2019 - "Prototype declarative analysis interface using uproot and awkward-array", Mason Proffitt, IRIS-HEP Institute Retreat
12 Sep 2019 - "Boost Histogram Roadmap", Henry Schreiner, 2019 IRIS-HEP Institute Retreat
12 Sep 2019 - "Analysis Systems team meetings/process efficacy", Ben Galewsky, IRIS-HEP Institute Retreat
10 Sep 2019 - "The IRIS-HEP Blueprint Concepts and Process", Mark Neubauer, Blueprint Meeting on Fast Machine Learning and Inference
9 Sep 2019 - "The interplay between physically motivated simulations and machine learning", Kyle Cranmer, Machine Learning for Physics and the Physics of Learning Long Program at IPAM
31 Jul 2019 - "Overview and Future directions for ML in particle and astro physics", Kyle Cranmer, Hammers & Nails 2019
29 Jul 2019 - "IRIS-HEP Tutorial: Fast columnar data analysis with data science tools", Jim Pivarski, Division of Particles and Fields (DPF) of the American Physical Society (APS)
23 Jul 2019 - "Scientific Python Ecosystem; Columnar Data Analysis; Accelerating Python", Jim Pivarski, Third Computational and Data Science for High Energy Physics (CoDaS-HEP) School
17 Jul 2019 - "Delivery of columnar data to analysis systems", Marc Weinberg, Annual US ATLAS Computing, Software and Physics Support Technical Meeting
10 Jul 2019 - "Motivation and requirements for awkward 1.0", Jim Pivarski, Analysis Systems Biweekly Meeting
9 Jul 2019 - "pyhf: a pure Python statistical fitting library for High Energy Physics with tensors and autograd", Matthew Feickert, 18th annual Scientific Computing with Python conference (SciPy 2019)
27 Jun 2019 - "Analysis in Run 4", Gordon Watts, ATLAS Software and Computing Week
24 Jun 2019 - "Delivery of columnar data to analysis systems", Marc Weinberg, ATLAS Software & Computing Week #62
24 Jun 2019 - "Future areas of focus for ML in particle physics", Kyle Cranmer, ATLAS Software and Computing Week
21 Jun 2019 - "IRIS-HEP Blueprint Concepts and Process", Mark Neubauer, Blueprint Meeting on Analysis Systems on Scalable Platforms
21 Jun 2019 - "Analysis Systems Perspectives and Goals", Kyle Cranmer, Analysis Systems R&D on Scalable Platforms Blueprint meeting
19 Jun 2019 - "Update on awkward-array, uproot, and related projects", Jim Pivarski, Analysis Systems Topical Workshop
19 Jun 2019 - "MadMiner Update", Johann Brehmer, Analysis Systems Topical Meeting
19 Jun 2019 - "SCAILFIN: Madminer deployment using REANA", Irina Espejo, Analysis Systems Topical Meeting
19 Jun 2019 - "AmpGen & Particle/DecayLanguage", Henry Schreiner, IRIS-HEP Analysis Systems Topical Workshop
19 Jun 2019 - "Histograms", Henry Schreiner, IRIS-HEP Analysis Systems Topical Workshop
19 Jun 2019 - "SCAILFIN: Reproducible Open Benchmarks", Heiko Mueller, Analysis Systems Topical Meeting
19 Jun 2019 - "Functional/Declarative Selection Languages", Gordon Watts, Analysis Systems Topical Workshop
19 Jun 2019 - "Reinterpretation Roadmap", Kyle Cranmer, Analysis Systems Topical Meeting
19 Jun 2019 - "Template Fits: HistFitter / TRExFitter", Alexander Held, Analysis Systems Topical Meeting
19 Jun 2019 - "SCAILFIN: Reproducible Open Benchmarks", Sebastian Macaluso, Analysis Systems Topical Meeting
19 Jun 2019 - "ServiceX", Ben Galewsky, Analysis Systems Topical Workshop
18 Jun 2019 - "Uproot: accessing ROOT data in the scientific Python ecosystem", Jim Pivarski, 3rd CMS Machine Learning Workshop
14 Jun 2019 - "Advances in Deep Learning motivated by Physics Problems", Kyle Cranmer, Theoretical Physics for Deep Learning
10 Jun 2019 - "NumPy, Pandas, PyROOT, and Uproot", Jim Pivarski, U.S. ATLAS Software Training at Argonne National Lab
6 Jun 2019 - "Constraining effective field theories with machine learning", Johann Brehmer, INFN Padova seminar
4 Jun 2019 - "Deep Learning for Higgs Boson Identification and Searches for New Physics at the Large Hadron Collider", Mark Neubauer, Blue Waters Symposium for Petascale Science and Beyond
29 May 2019 - "Columnar Analysis Tools HATS", Jim Pivarski, LPC HATS: Hands-on Training for CMS
29 May 2019 - "The Primacy of Experiment", Kyle Cranmer, The Universe Speaks in Numbers
28 May 2019 - "Scientific Python and Uproot HATS", Jim Pivarski, LPC HATS: Hands-on Training for CMS
22 May 2019 - "Pattern matching for decay trees", Jim Pivarski, IRIS-HEP Topical Meetings
9 May 2019 - "Summary of the 'Analysis Description Languages for the LHC' workshop", Jim Pivarski, LPC Physics Forum
8 May 2019 - "IRIS-HEP: A new software institute to prepare for the data from the High Luminosity Large Hadron Collider in the exabyte era", Mason Proffitt, Northwest Data Science Summit
8 May 2019 - "Programming languages and particle physics", Jim Pivarski, Fermilab Colloquium
7 May 2019 - "Thinking about Analysis Languages and Recent Progress", Gordon Watts, Analysis Description Languages
6 May 2019 - "How to build your own language (hands-on demo)", Jim Pivarski, Analysis Description Languages Workshop
1 May 2019 - "Future areas of focus for ML in particle physics", Kyle Cranmer, Gotham City Physics X ML
24 Apr 2019 - "Skyhook for query systems", Jim Pivarski, IRIS-HEP Topical Meetings
18 Apr 2019 - "Constraining effective field theories with machine learning", Johann Brehmer, Higgs and Effective Field Theory 2019
17 Apr 2019 - "Awkward Array: Numba", Jim Pivarski, IRIS-HEP Topical Meetings
15 Apr 2019 - "Aghast", Jim Pivarski, IRIS-HEP Topical Meetings
15 Apr 2019 - "boost-histogram and hist", Henry Schreiner, IRIS-HEP Topical Meeting
15 Apr 2019 - "Future areas of focus for ML in particle physics", Kyle Cranmer, 3rd IML Machine Learning Workshop
8 Apr 2019 - "High-Performance Python and Interoperability with Compiled Code", Jim Pivarski, Princeton PICSciE mini-courses
5 Apr 2019 - "Scalable Cyberinfrastructure for Artificial Intelligence and Likelihood-Free Inference", Mark Neubauer, NSF Large Facilities Workshop
1 Apr 2019 - "PyROOT, uproot, and awkward-arrays", Jim Pivarski, Software Carpentry at Fermilab
21 Mar 2019 - "Conda: a complete reproducible ROOT environment in under 5 minutes", Henry Schreiner, 2019 Joint HSF/OSG/WLCG Workshop
18 Mar 2019 - "'Mining gold' from simulators to improve likelihood-free inference", Johann Brehmer, Likelihood-free inference workshop
18 Mar 2019 - "Overview of Likelihood-Free Inference for Physics", Kyle Cranmer, Likelihood-Free Inference Workshop
14 Mar 2019 - "Nested data structures in array and SIMD frameworks", Jim Pivarski, ACAT 2019
14 Mar 2019 - "Keynote: Constraining effective field theories with machine learning", Johann Brehmer, International Workshop on Advanced Computing and Analysis Techniques in Physics Research
11 Mar 2019 - "Aligning the MATHUSA Test Stand Detector: Using Tensorflow", Gordon Watts, ACAT 2019
28 Feb 2019 - "Bringing together simulations, physics insight, and machine learning to constrain new physics", Johann Brehmer, Dark universe seminar
25 Feb 2019 - "The C# LINQ Analysis Language", Gordon Watts, IRIS-HEP Topical Meeting on Analysis Description Languages
13 Feb 2019 - "LINQ To ROOT", Gordon Watts, 1st DAWG Technology and Innovation Survey (HSF)
6 Feb 2019 - "IRIS-HEP Analysis Systems", Kyle Cranmer, IRIS-HEP Steering Board Meeting
14 Jan 2019 - "Meticulous measurements with matrix elements and machine learning", Johann Brehmer, ITS/CHEP joint seminar
11 Jan 2019 - "Improving inference with matrix elements and machine learning", Johann Brehmer, HK IAS Program on High Energy Physics
29 Oct 2018 - "pyhf: a pure Python implementation of HistFactory with tensors and autograd", Matthew Feickert, DIANA/HEP Meeting
19 Oct 2018 - "Design Roadmap for Future Collaborations", Mark Neubauer, Deep Learning for Multimessenger Astrophysics Real-time Discovery at Scale
20 Sep 2018 - "Learning to constrain new physics", Johann Brehmer, IPPP seminar
13 Sep 2018 - "Learning to constrain new physics", Johann Brehmer, Pheno & Vino Seminar
27 Aug 2018 - "Learning to constrain new physics", Johann Brehmer, Elementary particle seminar
16 Aug 2018 - "REANA, To reusability... and beyond!", Sinclert Pérez, CERN Openlab presentations
23 Jul 2018 - "Machine Learning to Probe a BSM Higgs Sector", Johann Brehmer, Higgs Hunting
27 Jun 2018 - "Constraining Effective Theories with Machine Learning", Johann Brehmer, Theory seminar

AS Publications

HSF IRIS-HEP Second Analysis Ecosystem Workshop Report, 10.5281/zenodo.7003962 (17 Aug 2022).
Data and Analysis Preservation, Recasting, and Reinterpretation, S. Bailey et. al., arXiv 2203.10057 (18 Mar 2022).
Machine Learning and LHC Event Generation, A. Butter et. al., arXiv 2203.07460 (14 Mar 2022) [6 citations].
Flow-based sampling in the lattice Schwinger model at criticality, M. Albergo, D. Boyda, K. Cranmer, D. Hackett, G. Kanwar, S. Racanière, D. Rezende, F. Romero-López, P. Shanahan and J. Urban, Phys.Rev.D 106 014514 (2022) (23 Feb 2022) [7 citations].
An array-oriented Python interface for FastJet, A. Roy, J. Pivarski and C. Freer, arXiv 2202.03911 (08 Feb 2022).
HL-LHC Computing Review Stage 2: Common Software Projects: Data Science Tools for Analysis, J. Pivarski, E. Rodrigues, K. Pedro, O. Shadura, B. Krikler and G. Stewart, arXiv 2202.02194 (04 Feb 2022) [1 citation].
The Quantum Trellis: A classical algorithm for sampling the parton shower with interference effects, S. Macaluso and K. Cranmer, arXiv 2112.12795 (23 Dec 2021) [2 citations].
Simulation Intelligence: Towards a New Generation of Scientific Methods, A. Lavin et. al., arXiv 2112.03235 (06 Dec 2021).
Neural simulation-based inference approach for characterizing the Galactic Center γ-ray excess, S. Mishra-Sharma and K. Cranmer, Phys.Rev.D 105 063017 (2022) (13 Oct 2021) [8 citations].
Publishing statistical models: Getting the most out of particle physics experiments, K. Cranmer et. al., SciPost Phys. 12 037 (2022) (10 Sep 2021) [12 citations].
Building and steering binned template fits with cabinetry, K. Cranmer and A. Held, EPJ Web Conf. 251 03067 (2021) (23 Aug 2021) [1 citation].
Flow-based sampling for multimodal distributions in lattice field theory, D. Hackett, C. Hsieh, M. Albergo, D. Boyda, J. Chen, K. Chen, K. Cranmer, G. Kanwar and P. Shanahan, arXiv 2107.00734 (01 Jul 2021) [21 citations].
Flow-based sampling for fermionic lattice field theories, M. Albergo, G. Kanwar, S. Racanière, D. Rezende, J. Urban, D. Boyda, K. Cranmer, D. Hackett and P. Shanahan, Phys.Rev.D 104 114507 (2021) (10 Jun 2021) [17 citations].
Reframing Jet Physics with New Computational Methods, The 25th International Conference on Computing in High-Energy and Nuclear Physics, vCHEP 2021. (21 May 2021) [3 citations].
Evaluating Query Languages and Systems for High-Energy Physics Data [Extended Version], D. Graur, I. Müller, M. Proffitt, G. Fourny, G. Watts and G. Alonso, arXiv 2104.12615 (26 Apr 2021) [1 citation].

Exact and Approximate Hierarchical Clustering Using A*, The Conference on Uncertainty in Artificial Intelligence (UAI) 2021. (14 Apr 2021).
hep_tables: Heterogeneous Array Programming for HEP, Watts, Gordon, EPJ Web Conf. 251 03061 (2021) (21 Mar 2021).
Distributed statistical inference with pyhf enabled through funcX, M. Feickert, L. Heinrich, G. Stark and B. Galewsky, EPJ Web Conf. 251 02070 (2021) (03 Mar 2021) [1 citation].
FuncADL: Functional Analysis Description Language, M. Proffitt and G. Watts, EPJ Web Conf. 251 03068 (2021) (02 Mar 2021) [3 citations].
AwkwardForth: accelerating Uproot with an internal DSL, J. Pivarski, I. Osborne, P. Das, D. Lange and P. Elmer, EPJ Web Conf. 251 03002 (2021) (24 Feb 2021).
pyhf: pure-Python implementation of HistFactory statistical models, L. Heinrich, M. Feickert, G. Stark and K. Cranmer, J.Open Source Softw. 6 2823 (2021) (04 Feb 2021) [30 citations] [NSF PAR].
Deep Search for Decaying Dark Matter with XMM-Newton Blank-Sky Observations, J. Foster, M. Kongsore, C. Dessert, Y. Park, N. Rodd, K. Cranmer and B. Safdi, Phys.Rev.Lett. 127 051101 (2021) (03 Feb 2021) [32 citations].
Introduction to Normalizing Flows for Lattice Field Theory, M. Albergo, D. Boyda, D. Hackett, G. Kanwar, K. Cranmer, S. Racanière, D. Rezende and P. Shanahan, arXiv 2101.08176 (20 Jan 2021) [20 citations].
Recent developments in histogram libraries, H. Dembinski, J. Pivarski and H. Schreiner, EPJ Web Conf. 245 05014 (2020) (20 Nov 2020) [2 citations] [NSF PAR].
Constraining effective field theories with machine learning, J. Brehmer, K. Cranmer, I. Espejo, A. Held, F. Kling, G. Louppe and J. Pavez, EPJ Web Conf. 245 06026 (2020) (16 Nov 2020) [2 citations] [NSF PAR].
Semi-parametric gamma-ray modeling with Gaussian processes and variational inference, S. Mishra-Sharma and K. Cranmer, arXiv 2010.10450 (20 Oct 2020) [3 citations].
Simulation-based inference methods for particle physics, J. Brehmer and K. Cranmer, arXiv 2010.06439 (13 Oct 2020) [5 citations].
Snowmass 2021 Letter of Interest: Analysis Ecosystem at the HL-LHC, G. Watts Snowmass 2021 Letter of Interest (10 Sep 2020).
Snowmass 2021 Letter of Interest: Long Term Reproducibility and Sustainability of Scientific Software, Matthew Feickert, Giordon Stark, Steven Gardiner, and Yu-Dai Tsai, Snowmass 2021 Letters of Interest (31 Aug 2020).
Snowmass 2021 Letter of Interest: Differentiable Programming in High-Energy Physics, Atilim Gunes Baydin, Kyle Cranmer, Matthew Feickert, Lindsey Gray, Lukas Heinrich, Alexander Held, Andrew Melo, Mark Neubauer, Jannicke Pearkes, Nathan Simpson, Nick Smith, Giordon Stark, Savannah Thais, Vassil Vassilev, and Gordon Watts, Snowmass 2021 Letters of Interest (31 Aug 2020).
Snowmass 2021 Letter of Interest: Matrix Element Method in the Machine Learning Era, P. Chang, M. Feickert, and Mark S. Neubauer, Snowmass 2021 Letters of Interest (31 Aug 2020).
Sampling using SU(N) gauge equivariant flows, D. Boyda, G. Kanwar, S. Racanière, D. Rezende, M. Albergo, K. Cranmer, D. Hackett and P. Shanahan, Phys.Rev.D 103 074504 (2021) (12 Aug 2020) [49 citations] [NSF PAR].
Secondary vertex finding in jets with neural networks, J. Shlomi, S. Ganguly, E. Gross, K. Cranmer, Y. Lipman, H. Serviansky, H. Maron and N. Segol, Eur.Phys.J.C 81 540 (2021) (06 Aug 2020) [10 citations] [NSF PAR].
Boost-histogram: High-Performance Histograms as Objects, Henry Schreiner, Hans Dembinski, Shuo Liu, Jim Pivarski, SciPy 2020 (07 Jul 2020).
Awkward Array: JSON-like data, NumPy-like idioms, Jim Pivarski, Ianna Osborne, Pratyush Das, Anish Biswas, Peter Elmer, SciPy 2020 (07 Jul 2020).
Nested data structures in array frameworks, J. Pivarski, D. Lange and P. Elmer, J.Phys.Conf.Ser. 1525 012053 (2020) (07 Jul 2020) [1 citation].
The Scikit HEP Project -- overview and prospects, E. Rodrigues et. al., EPJ Web Conf. 245 06028 (2020) (07 Jul 2020) [9 citations].
Discovering Symbolic Models from Deep Learning with Inductive Biases, M. Cranmer, A. Sanchez-Gonzalez, P. Battaglia, R. Xu, K. Cranmer, D. Spergel and S. Ho, arXiv 2006.11287 (19 Jun 2020) [20 citations].
Flows for simultaneous manifold learning and density estimation, Advances in Neural Information Processing Systems 34 (NeurIPS2020) (30 Mar 2020) [14 citations].
Equivariant flow-based sampling for lattice gauge theory, G. Kanwar, M. Albergo, D. Boyda, K. Cranmer, D. Hackett, S. Racanière, D. Rezende and P. Shanahan, Phys.Rev.Lett. 125 121601 (2020) (13 Mar 2020) [79 citations] [NSF PAR].
Data Structures & Algorithms for Exact Inference in Hierarchical Clustering, The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2467-2475, 2021. (26 Feb 2020) [2 citations].
Set2Graph: Learning Graphs From Sets, Advances in Neural Information Processing Systems 34 (NeurIPS2020) (20 Feb 2020) [8 citations].
Mining gold from implicit models to improve likelihood-free inference, Proceedings of the National Academy of Sciences; DOI:10.1073/pnas.1915980117 (20 Feb 2020) [69 citations].
Normalizing Flows on Tori and Spheres, Thirty-seventh International Conference on Machine Learning (06 Feb 2020) [8 citations].
Awkward Arrays in Python, C++, and Numba, J. Pivarski, P. Elmer and D. Lange, EPJ Web Conf. 245 05023 (2020) (15 Jan 2020) [5 citations].
Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning, The Astrophysical Journal, Volume 886, Number 1; DOI:10.3847/1538-4357/ab4c41 (19 Nov 2019) [44 citations] [NSF PAR].
The frontier of simulation-based inference, Proceedings of the National Academy of Sciences DOI:10.1073/pnas.1912789117 (04 Nov 2019) [59 citations] [NSF PAR].
Extending RECAST for Truth-Level Reinterpretations, A. Schuy, L. Heinrich, K. Cranmer and S. Hsu, arXiv 1910.10289 (Submitted to APS DPF 2019) (22 Oct 2019) [1 citation].
Hamiltonian Graph Networks with ODE Integrators, A. Sanchez-Gonzalez, V. Bapst, K. Cranmer and P. Battaglia, arXiv 1909.12790 (Submitted to Machine Learning For the Physical Sciences NeurIPS2019 Workshop) (27 Sep 2019) [8 citations].
Columnar data processing for HEP analysis, J. Pivarsk, J. Nandi, D. Lange and P. Elmer, EPJ Web Conf. 214 06026 (2019) (17 Sep 2019) [2 citations].
Benchmarking simplified template cross sections in WH production, J. Brehmer, S. Dawson, S. Homiller, F. Kling and T. Plehn, JHEP 11 034 (2019) (19 Aug 2019) [31 citations].
RECAST framework reinterpretation of an ATLAS Dark Matter Search constraining a model of a dark Higgs boson decaying to two b-quarks, ATL-PHYS-PUB-2019-032 (12 Aug 2019).
Reproducing searches for new physics with the ATLAS experiment through publication of full statistical likelihoods, ATL-PHYS-PUB-2019-029 (05 Aug 2019).
MadMiner: Machine learning-based inference for particle physics, J. Brehmer, F. Kling, I. Espejo and K. Cranmer, Comput.Softw.Big Sci. 4 3 (2020) (24 Jul 2019) [55 citations] [NSF PAR].
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale, Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC19), November 17--22, 2019 DOI:10.1145/3295500.3356180 (07 Jul 2019) [6 citations] [NSF PAR].
A hybrid deep learning approach to vertexing, R. Fang, H. Schreiner, M. Sokoloff, C. Weisser and M. Williams, J.Phys.Conf.Ser. 1525 012079 (2020) (19 Jun 2019) [2 citations] [NSF PAR].
Effective LHC measurements with matrix elements and machine learning, J. Brehmer, K. Cranmer, I. Espejo, F. Kling, G. Louppe and J. Pavez, J.Phys.Conf.Ser. 1525 012022 (2020) (04 Jun 2019) [12 citations] [NSF PAR].
FPGA-accelerated machine learning inference as a service for particle physics computing, J. Duarte et. al., Comput.Softw.Big Sci. 3 13 (2019) (18 Apr 2019) [18 citations] [NSF PAR].
Machine learning and the physical sciences, G. Carleo, I. Cirac, K. Cranmer, L. Daudet, M. Schuld, N. Tishby, L. Vogt-Maranto and L. Zdeborová, Rev.Mod.Phys. 91 045002 (2019) (25 Mar 2019) [347 citations] [NSF PAR].
Open is not enough, X. Chen et. al., Nature Phys. 15 (2019) (15 Nov 2018) [21 citations].
Analysis Preservation and Systematic Reinterpretation within the ATLAS experiment, K. Cranmer and L. Heinrich, J.Phys.Conf.Ser. 1085 042011 (2018) (18 Oct 2018) [4 citations].
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model, Advances in Neural Information Processing Systems 33 (NeurIPS) (20 Jul 2018) [4 citations].
Machine Learning in High Energy Physics Community White Paper, K. Albertsson et. al., J.Phys.Conf.Ser. 1085 022008 (2018) (08 Jul 2018) [133 citations].
HEP Analysis Ecosystem Workshop Report, Elmer, Peter, Mato, Pere, Sexton-Kennedy, Elizabeth, & Wenaus, Torre. (2017). HEP Analysis Ecosystem Workshop Report https://indico.cern.ch/event/613842/ (04 Sep 2017).
Adversarial Variational Optimization of Non-Differentiable Simulators, PMLR 89:1438-1447, 2019 (22 Jul 2017) [10 citations].
Yadage and Packtivity - analysis preservation using parametrized workflows, K. Cranmer and L. Heinrich, J.Phys.Conf.Ser. 898 102019 (2017) (06 Jun 2017) [18 citations].
HEPData: a repository for high energy physics data, E. Maguire, L. Heinrich and G. Watt, J.Phys.Conf.Ser. 898 102006 (2017) (18 Apr 2017) [99 citations].
QCD-Aware Recursive Neural Networks for Jet Physics, G. Louppe, K. Cho, C. Becot and K. Cranmer, JHEP 01 057 (2019) (02 Feb 2017) [152 citations].

Recent AS Recordings

Multiple Speakers on IRIS-HEP: Analysis Systems and the Analysis Grand Challenge

14 May 2021

Daniel Foreman-Mackey on Extending JAX with CUDA

1 Feb 2021

Vladimir Ovechkin on Recast

21 Sep 2020

Erik Wallin on zfp compression on a CMS NanoAOD

21 Sep 2020

Shuo Liu on Hist: histogramming for analysis powered by boost-histogram

8 Sep 2020

Anish Biswas on Creating an infrastructure for a CUDA backend for Awkward Arrays

31 Aug 2020

Join us

We collaborate with groups around the world on code, data, and more. See our project pages for more.

gantt title Analysis Systems project lifecyles dateFormat YYYY-MM-DD axisFormat %Y abcd-pyhf :done , 2021-11-23, 2022-08-20 ADL Benchmarks :active , 2019-05-05, 2022-08-20 AmpGen :active , 2019-03-22, 2022-08-20 awesome-hep :active , 2019-01-25, 2022-08-20 Awkward Array :active , 2018-06-10, 2022-08-20 Awkward-Dask :done , 2021-08-19, 2022-08-20 cabinetry :active , 2020-05-07, 2022-08-20 Coffea-Casa :done , 2019-01-01, 2022-08-20 DecayLanguage :active , 2018-03-11, 2022-08-20 Functional ADL :active , 2019-09-29, 2022-08-20 HEP Tables :active , 2020-03-15, 2022-08-20 Histogram projects :active , 2019-03-08, 2022-08-20 MadMiner :active , 2018-06-03, 2022-08-20 Particle :active , 2018-11-20, 2022-08-20 ppx :active , 2018-07-01, 2022-08-20 pyhf :active , 2018-01-19, 2022-08-20 recast :active , 2018-07-23, 2022-08-20 ROOT on Conda-Forge :active , 2019-01-13, 2022-08-20 Scikit-HEP :active , 2016-10-24, 2022-08-20 uproot :active , 2017-09-03, 2022-08-20 Vector :active , 2018-07-08, 2022-08-20