Talks

Proceedings of meetings and slides presented by team members on N3PDF related topics are listed here below:

2023

• Stefano Forte, Can we trust machine learning? PDFs as a case study, Stony Brook (19 September 2023) + RADCOR meeting Crieff (29 May 2023) + Terascale meeting Grenoble (26 April 2023)
• Felix Hekhorn, PDFs at N3LO accuracy, Stony Brook, 20 September 2023 – SLIDES
• Stefano Forte, Parton distributions and machine learning, EIC UG early career workshop Warsaw, 24 July 2023 – SLIDES 
• Stefano Forte, Machine learning in particle theory – Lecture 1 – Lecture 2 – Lecture 3 – Lecture 4 – Lecture 5, MITP Mainz, Germany, 3-7 July 2023
• Felix Hekhorn, Evidence for Intrinsic Charm in the Proton, Jefferson Lab Theory Seminar Remote, 12 June 2023 – announcement 
• Felix Hekhorn, The new theory pipeline and intrinsic charm, Centre of Excellence in Quark Matter Jyväskylä, 21 April 2023 – SLIDES
• Felix Hekhorn, The new theory prediction pipeline and towards N3LO PDF, Seminar Forschungsgruppe 2926/2, 17 March 2023 – SLIDES
• Stefano Forte, Charm in the proton, LHCb meeting Italy, 01 February 2023 – SLIDES
• Felix Hekhorn, The new theory pipeline and its applications, Joint INFN-UNIMI-UNIMIB Pheno Seminar, 30 January 2023 – SLIDES

2022

• Stefano Carrazza, 16 December 2022 SQMS, Introducing Qibo, Padova – SLIDES
• Felix Hekhorn, Parton Distributions and New Physics Searches: the Drell-Yan Forward-Backward Asymmetry as a case study, QCD@LHC 2022, 02 December 2022 – SLIDES
• Stefano Forte, Asymptotic freedom in parton language, The interdisciplinary contributions of Giorgio Parisi to theoretical physics, 01 December 2022 – SLIDES
• Stefano Carrazza, 14 November 2022 QC@INFN22, Introducing Qibo, Bologna – SLIDES
• Stefano Forte, Charm in the proton, ILCAC Seminar, 09 November 2022 – SLIDES
• Felix Hekhorn, Theory Predictions in PDF Fitting, ACAT 20222, 27 October 2022 – SLIDES
• Stefano Forte, PDF uncertainties & BSM searches, Nantes, 18 October 2022 – SLIDES
• Stefano Forte, QCD: precision physics in the making, Torino, 26 September 2022 – SLIDES
• Stefano Forte, PDF determination as machine learning, GGI Florence, 22 September 2022 – SLIDES
• Alessandro Candido, PDF determination: from NN fitting to posterior sampling, GGI Florence, 6 September 2022 – SLIDES
• Stefano Carrazza, 6 September 2022 Machine Learning at GGI, Style-based qGAN, Firenze, SLIDES
• Stefano Forte, Intrinsic charm in the proton, MIAPP Germany, 19 August 2022 – SLIDES
• Stefano Forte, Differential soft resummation, Stony Brook, 05 August 2022 – SLIDES
• Felix Hekhorn, Theory predictions for PDF fitting, Stony Brook, 03 August 2022 – SLIDES
• Alessandro Candido, Theory predictions for PDF fitting, Scotland, 01 August 2022 – SLIDES
• Juan Cruz-Martinez, Facilitating GPU acceleration for Monte Carlo simulations, Freiburg, 19 July 2022 – SLIDES
• Juan Cruz-Martinez, Mad Flow: automating Monte Carlo simulation on GPU for particle physics, ICHEP2022 Bologna, 11 July 2022 – SLIDES
• Stefano Carrazza, 9 July 2022 ICHEP22, Towards a hybrid quantum operating system, Bologna – SLIDES
• Roy Stegeman, The NNPDF4.0 global analysis of the proton structure, ICHEP2022 Bologna, 7 July 2022 – SLIDES
• Alessandro Candido, Theory predictions for PDF fitting, ICHEP2022 Bologna, 7 July 2022 – SLIDES
• Stefano Forte, PDF determination as machine learning, MITP Mainz, 5 July 2022 – SLIDES
• Stefano Forte, EW and BSM physics bewteen the LHeC and the EIC, EIC-LHC synergy meeting – CERN, 21 June 2022 – SLIDES
• Juan Cruz-Martinez, Machine learning in PDF determination: NNPDF4.0, Transversity 2022, 26 May 2022 – SLIDES
• Stefano Forte, Differential Soft Resummation, Loopfest Pittsburgh, 13 May 2022 – SLIDES
• Kirill Kudashkin, Intrinsic charged-current DIS at NNLO QCD, DIS 2022 Santiago, 5 May 2022 – SLIDES
• Felix Hekhorn, EKO & Yadism: new software tools for DGLAP and DIS, DIS 2022 Santiago, 4 May 2022 – SLIDES
• Roy Stegeman, The NNPDF4.0 global analysis of the proton structure, DIS 2022 Santiago, 3 May 2022 – SLIDES
• Tanjona Rabemananjara, Estimating missing high orders in transverse momentum distributions using resummations, DIS 2022 Santiago, 3 May 2022 – SLIDES
• Stefano Forte, Intrinsic charm in the proton, Terascale Bonn, 29 March 2022 – SLIDES
• Stefano Carrazza, March 2022, NVIDIA GTC 2022, Quantum simulation with just-in-time compilation – SLIDES
• Stefano Carrazza, 1 March 2022, Supercomputing Asia 2022, Towards a quantum operating system – SLIDES

2021

• Stefano Carrazza, 30 November 2021, ACAT21, Introduction to quantum computing for HEP – SLIDES
• Stefano Forte, PDFS with 1% accuracy, IRN Terascale Meeting, 22 November 2021 – SLIDES
• Stefano Forte, Partond distributions uncertainties and their correlations, Femtocenter Seminar, 3 November 2021 – SLIDES
• Juan Cruz-Martinez, GPU acceleration in HEP, CEPC2021, 11 November 2021 – SLIDES
• Stefano Forte, Machine learning in high-energy physics, Bicocca 2021, 3 September 2021 – SLIDES
• Stefano Forte, Perturbative QCD and jet physics, CERN  Fermilab, 23 August 2021 – SLIDES 1 – SLIDES 2 – SLIDES 3
• Roy Stegeman, NNPDF4.0: Towards a high-precision Determination of the Proton Structure, EPS-HEP2021, 26 July 2021 – SLIDES
• Roy Stegeman, NNPDF4.0: Towards a new generation of PDFs using ML, ML4Jets2021, 6 July 2021 – SLIDES
• Stefano Forte, PDFs with 1% accuracy, CMS21, 6 July 2021 – SLIDES
• Juan Cruz-Martinez, MadFlow: towards the automation of Monte Carlo simulation on GPU for particle physics processes, vCHEP, 19 May 2021 – SLIDES
• Felix Hekhorn, Can MSbar parton distributions be negative?, DIS2021, 14 April 2021 – SLIDES
• Christopher Schwan, PineAPPL: NLO EW corrections for PDF processes, DIS2021, 14 April 2021 – SLIDES
• NNPDF collaboration & N3PDF team, Theory and methodology: new developments, PDF4LHC, 22 March 2021 – SLIDES
• Juan Cruz-Martinez, PDF determination with quantum circuits, IFIC seminar, 16 February 2021 – SLIDES and VIDEO

2020

• Juan Cruz-Martinez, VegasFlow and PDFFlow: accelerating Monte Carlo simulation across platforms, HSF Workshop, 20 November 2020 – SLIDES
• Stefano Forte, Machine Learning the unknown, 60th Cracow School of Theoretical Physics, 20 November 2020 – SLIDES
• Stefano Forte, The anatomy of NNPDF, CMS SMP Meeting, 3 November 2020 – SLIDES
• Juan Cruz-Martinez, VegasFlow and PDFFlow: accelerating Monte Carlo simulation across platforms, ATLAS Physics Modelling Group subgroup for Generator Infrastructure and Tools, 30 October 2020 – SLIDES
• Christopher Schwan, Treatment of EW effects in PDF fits and in experimental data, LHC EW WG General Meeting, 8 October 2020 – SLIDES
• Stefano Carrazza, 8 September 2020, IML workshop, Accelerating MC simulation across platforms – SLIDES
• Juan Cruz-Martinez, VegasFlow: accelerating Monte Crlo simulation across platforms using TensorFlow, ICHEP 2020, 30 July 2020 – SLIDES
• Stefano Carrazza, Accelerating HEP theory with ML models, MCnet Machine Learning School, 25 June 2020 – SLIDES
• Stefano Carrazza, Parton densities with deep learning models, LHCP2020, 25 May 2020 – SLIDES
• Stefano Forte, Proton Structure from AI to Machine Learning, Oxford, 21 May 2020 – SLIDES and VIDEO (the first few minutes of the talk were not recorded. The contribution of Lukas Henning starts at 8.30′ of the recording)
• Stefano Forte, PDFs: from Run II to Run III, CMS SM Meeting, CERN, 25 February 2020 – SLIDES
• Stefano Forte, Machine learning an unknown physical law: the structure of the proton, Invited seminar, Heidelberg (23 January 2020) and Frascati (20 February 2020) – SLIDES
• Stefano Forte, Machine learning PDFs, Cracow Epiphany Conference, Cracow (Poland), 7 January 2020 – SLIDES

 

2019

• Stefano Forte, Machine learning an unknown physical law: the structure of the proton, Invited colloquium, Odense (Denmark), 2 December 2019 – SLIDES
• Christopher Schwan, Towards the inclusion of EW corrections in NNPDF, Ultimate Precision at Hadron Colliders, Orsay (France), 26 November 2019 – SLIDES
• Juan Cruz-Martinez, Studying the parton content of the proton with deep learning models, AISIS 2019, Mexico City (Mexico), 21 October 2019 – SLIDES
• Juan Cruz-Martinez, Methodological improvements in PDF determination, James Sitrling Memorial Conference, Durham (UK), 17 September 2019 – SLIDES
• Stefano Forte, QCD at small x – a personal perspective, Towards accuracy at small x, Edinburgh (UK), 10 September 2019 – SLIDES
• NNPDF Collaboration & N3PDF Meeting talks, Varenna, August 27-30, 2019
• Stefano Carrazza, Jet grooming through reinforcement learning, Boost2019, Boston (USA), 23 July 2019 – SLIDES
• Stefano Carrazza, Jet grooming through reinforcement learning, QCD@LHC19, Buffalo (USA), 16 July 2019 – SLIDES
• Christopher Schwan, PDF-independent electroweak and photon-induced theoretical predictions, QCD@LHC19, Buffalo (USA), 15 July 2019 – SLIDES
• Stefano Forte, Parton distributions or the art of solving ill-posed problems, 1st COFI workshop on precision electroweak, San Juan (Puerto Rico), July 17, 2019 – SLIDES
• Juan Cruz-Martinez, Towards a new generation of PDFs with deep learning models, QCD@LHC, Buffalo (USA), July 15, 2019 – SLIDES
• Stefano Forte, Heavy quarks as partons, Invited seminar, Munich, July 8, 2019 – SLIDES
• Stefano Forte, Theories uncertainties in PDF determination, Physics at TeV Colliders, Les Houches, June 14, 2019 – SLIDES

• Stefano Forte, Parton distributions or the art of solving ill-posed problems, plenary talk at LHCP2019, Puebla, Mexico, May 21, 2019 – SLIDES 

• Stefano Forte, Parton distributions for precision physics, parallel talk at LHCP2019, Puebla, Mexico, May 21, 2019 – SLIDES 

• Stefano Carrazza, Machine learning applied to theoretical high-energy physics, Colloquium at IFT ICTP SAIFR, São Paulo, April 3, 2019 – SLIDES 

• Stefano Carrazza, Riemann-Theta Boltzmann Machine, ACAT 2019, Saas Fe, March 11-15, 2019 – SLIDES 

 

2018

• Stefano Forte, Lessons learnt – Towards PDF4LHC20, PDF4LHC, CERN, December 13, 2018 – SLIDES 

• Stefano Forte, PDF uncertainties – current understanding and issues, LHC EW precision sub-group meeting, CERN, November 13, 2018 – SLIDES 

• Stefano Forte, Parton Distributions: yesterday, today and tomorrow, Invited colloquium, Aachen, November 8, 2018 – SLIDES 

• Christopher Schwan, NLO EW Corrections for W⁺Z scattering at the LHC, HP2 2018, Freiburg, October 1-3, 2018 – SLIDES 

• NNPDF Collaboration & N3PDF Kickoff Meeting talks, Gargnano, September 16-19, 2018

• Stefano Forte, Machine learning precision high energy physics, Invited colloquium, Munich, September 11, 2018 – SLIDES 

• Stefano Carrazza, Machine learning overview, ETSF, Milan, September 10, 2018 – SLIDES 

• Stefano Forte, Heavy flavor production processes, QCD@LHC 2018, Dresden, August 28-30, 2018 – SLIDES 

• Stefano Forte, Theory uncertainties on PDFs, Physics at the LHC and Beyond, CERN, July 15-20, 2018 – SLIDES 

• Stefano Forte, PDF challenges: HL-LHC and beyond, Pushing the Boundaries of the Energy and Intensity Frontiers — the HL-LHC and Beyond, IPPP Durham, July 2-4, 2018 – SLIDES 

• Stefano Carrazza, Riemann-Theta Boltzmann machine, Tsinghua Workshop on Machine Learning in Geometry and Physics, Sanya, June 11-15, 2018 – SLIDES 

• Stefano Forte, Overview of resummation, PSR18, Lund, June 4, 2018 – SLIDES  

• Stefano Forte, Precision standard model physics at the LHC, MASS 2018, Odense, May 31, 2018 – SLIDES – VIDEO 

• Stefano Carrazza, New ideas from physics to machine learning, IPPP Durham, April 4, 2018 – SLIDES 

• Stefano Forte, PDFS: from NN to ML, IPPP Durham, April 4, 2018 – SLIDES 

• Stefano Carrazza, NNPDF3.1luxQED, CERN, March 28, 2018 – SLIDES 

• Stefano Forte, Determination of α_s & the correlated replica method, CERN, March 28, 2018 – SLIDES 

• Stefano Forte, Parton distributions for the XXI century, Freiburg, January 10, 2018 – SLIDES  

 

2017

• Stefano Forte, QCD at the Large Hadron Collider, XLIX Herbstschule für Hochenergiephysik, Maria Laach, September 11-14, 2017 – SLIDES: Lecture 1 – Lecture 2 – Lecture 3 – Lecture 4  

• Stefano Carrazza, Machine Learning in HEP-TH, 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2017 plenary session), Seattle, August 21-25, 2017 – SLIDES  – PROCEEDINGS  

• Stefano Carrazza, Neural Networks for precision PDF determinations, 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2017 parallel session), Seattle, August 21-25, 2017 – SLIDES – PROCEEDINGS
• Stefano Forte, The determination of α_s: status and prospects, Lattice 2017, Granada, June 23, 2017 – SLIDES  

• Stefano Forte, Theory Systematics in PDFs, LHC and the Standard Model: Physics and Tools, CERN Theory Institute, June 16, 2017 – SLIDES  

• Stefano Forte, The total GG -> H cross-section: YR4 and beyond, Les Houches PhysTeV 2017, Les Houches, June 6, 2017 – SLIDES  

• Stefano Forte, Scale variation and PDF uncertainties, Scales Workshop, Cambridge, March 31, 2017 – SLIDES