Matthew Feickert

According to our database, Matthew Feickert authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Analysis Facilities for the HL-LHC White Paper.

Diego Ciangottini, Alessandra Forti, Lukas Heinrich, Nicola Skidmore, C. Alpigiani, M. Aly, D. Benjamin, B. Bockelman, L. Bryant, J. Catmore, M. D'Alfonso, Antonio Delgado Peris, Caterina Doglioni, G. Duckeck, Peter Elmer, Jonas Eschle, Matthew Feickert, J. Frost, Robert W. Gardner, Vincent Garonne, M. Giffels, J. Gooding, E. Gramstad, Lindsey Gray, Benedikt Hegner, A. Held, José M. Hernández, Burt Holzman, F. Hu, Brij Kishor Jashal, D. Kondratyev, Evangelos Kourlitis, Luke Kreczko, I. Krommydas, T. Kuhr, Eric Lancon, Clemens Lange, David Lange, J. Lange, P. Lenzi, Tomas Lindén, Verena Ingrid Martinez Outschoorn, Shawn McKee, J. F. Molina, Mark S. Neubauer, A. Novak, Ianna Osborne, Farid Ould-Saada, Adela Pagès-Bernaus, Kevin Pedro, Antonio Perez-Calero Yzquierdo, S. Piperov, James Pivarski, Eduardo Rodrigues, N. Sahoo, Andrea Sciabà, M. Schulz, L. Sexton-Kennedy, Oksana Shadura, Tibor Simko, Nicholas Smith, Daniele Spiga, Giordon Stark, Graeme A. Stewart, Ilija Vukotic, Gordon Watts

Comput. Softw. Big Sci., December, 2025

Reproducible Machine Learning Workflows for Scientists with Pixi.

Matthew Feickert, Ruben Arts, John Kirkham

Proceedings of the 24th Python in Science Conference, 2025

2024

Scalable ATLAS pMSSM computational workflows using containerised REANA reusable analysis platform.

Marco Donadoni, Matthew Feickert, Lukas Heinrich, Yang Liu, Audrius Mecionis, Vladyslav Moisieienkov, Tibor Simko, Giordon Stark, Marco Vidal García

CoRR, 2024

How the Scientific Python ecosystem helps answer fundamental questions of the Universe.

Matthew Feickert, Nikolai Hartmann, Lukas Heinrich, Alexander Held, Vangelis Kourlitis, Nils Krumnack, Giordon Stark, Matthias Vigl, Gordon Watts

Proceedings of the 23rd Python in Science Conference, 2024

2022

Data Science and Machine Learning in Education.

Gabriele Benelli, Thomas Y. Chen, Javier M. Duarte, Matthew Feickert, Matthew J. Graham, Lindsey Gray, Dan Hackett, Philip C. Harris, Shih-Chieh Hsu, Gregor Kasieczka, Elham E Khoda, Matthias Komm, Mia Liu, Mark S. Neubauer, Scarlet Norberg, Alexx Perloff, Marcel Rieger, Claire Savard, Kazuhiro Terao, Savannah Thais, Avik Roy, Jean-Roch Vlimant, Grigorios Chachamis

CoRR, 2022

2021

pyhf: pure-Python implementation of HistFactory statistical models.

Lukas Heinrich, Matthew Feickert, Giordon Stark, Kyle Cranmer

J. Open Source Softw., 2021

Software Training in HEP.

Sudhir Malik, Samuel Meehan, Kilian Lieret, Meirin Oan Evans, Michel Hernández Villanueva, Daniel S. Katz, Graeme A. Stewart, Peter Elmer, Sizar Aziz, Matthew Bellis, Riccardo Maria Bianchi, Gianluca Bianco, Johan Sebastian Bonilla, Angela Burger, Jackson Burzynski, David Chamont, Matthew Feickert, Philipp Gadow, Bernhard Manfred Gruber, Daniel Guest, Stephan Hageboeck, Lukas Heinrich, Maximilian M. Horzela, Marc Huwiler, Clemens Lange, Konstantin Lehmann, Ke Li, Devdatta Majumder, Judita Mamuzic, Kevin Nelson, Robin Newhouse, Emery Nibigira, Scarlet Norberg, Arturo Sánchez Pineda, Mason Proffitt, Brendan Regnery, Amber Roepe, Stefan Roiser, Henry Schreiner, Oksana Shadura, Giordon Stark, Stephen Nicholas Swatman, Savannah Thais, Andrea Valassi, Stefan Wunsch, David Yakobovitch, Siqi Yuan

Comput. Softw. Big Sci., 2021

Distributed statistical inference with pyhf enabled through funcX.

Matthew Feickert, Lukas Heinrich, Giordon Stark, Ben Galewsky

CoRR, 2021

A Living Review of Machine Learning for Particle Physics.

Matthew Feickert, Benjamin Nachman

CoRR, 2021

2020

Software Sustainability & High Energy Physics.

Daniel S. Katz, Sudhir Malik, Mark S. Neubauer, Graeme Andrew Stewart, Kétévi A. Assamagan, Erin A. Becker, Neil P. Chue Hong, Ian A. Cosden, Samuel Meehan, Edward J. W. Moyse, Adrian M. Price-Whelan, Elizabeth Sexton-Kennedy, Meirin Oan Evans, Matthew Feickert, Clemens Lange, Kilian Lieret, Rob Quick, Arturo Sánchez Pineda, Christopher D. Tunnell

CoRR, 2020