The three day long “International Workshop on Hadron Structure and Spectroscopy – 2022” (IWHSS-2022) will take place at CERN in Geneva, Switzerland, from August 29th to 31st, 2022.
IWHSS-2022 is the 18th workshop in the series of annual workshops on Hadron Structure and Spectroscopy, with most recent editions being IWHSS-2020 (remote due to COVID-19), IWHSS-2019 (Aveiro, Portugal) and IWHSS-2018 (Bonn, Germany).
This year the workshop is planned to be organized in fully in-person mode.
The scientific programme of the workshop will be traditionally focused on the following topics:
- Spin and 3D Structure Structure of the Nucleon
- TMDs, GPDs and GTMDs
- Fragmentation Functions
- Fixed Target and Collider Experiments
- Meson Structure and Spectroscopy
- Search for Exotics
- Future Measurements and Experimental proposals
The opening sessions of the workshop will be dedicated to double-anniversary of COMPASS experiment: 25 years since approval and 20 years since first data-taking.
Machine learning (ML) is nowadays an important toolbox for theoretical and experimental physics, and its importance is expected to steadily grow in the coming years. Thanks to its effectiveness and extreme flexibility, it allows for applications covering a huge set of topics, ranging from statistical data analysis, to simulation and modeling. For this reason ML has been successfully used in very different research areas, such as high-energy physics, astrophysics and cosmology, condensed matter and statistical physics.
Applications in different domains often share strong similarities either in the problems to be solved or in the methodology employed. This motivates a fruitful exchange of ideas, which however is seldom achieved in practice due to the distance among different research communities.
The aim of the workshop is to bring together researchers with interests and expertise in ML from different fields in physics, strongly encouraging and promoting cross-topic exchange of ideas and collaborations. Three broad research areas will be covered:
– High-Energy Physics
– Astrophysics, Cosmology and Astroparticles
– Condensed Matter and Statistical Physics (including Quantum Information)
The distinctive trait of the workshop will be the focus on theoretical physics in a broad sense, including data analysis as well as simulation and modelling.
Learning To Discover is a program on Artificial Intelligence and High Energy Physics (HEP) to take place at Institut Pascal Paris-Saclay 19th Apr 2022 to 29th Apr 2022, in its beautiful new building. Over the two weeks, three themes will be successively tackled during innovation-oriented sessions of two days each, followed by a three-day general conference on AI and physics.
Since 2014, the field of AI and HEP has grown exponentially. Physicists have realised quickly the potential of AI to deal with the large amount of complex data they are collecting and analysing. Many AI techniques have been put forward, with scientific collaboration based on open data sets, challenges, workshops and papers.
Learning To Discover is a first-of-its-kind program where participants will have access to deep technical insights in advanced machine learning techniques, and their application to particle physics. During the event, blending the concept of hackathon, hands-on and tutorials, physicists who have attempted to apply machine learning to specific challenges in HEP will expose their problem case and the solutions they have arrived at so far. ML experts will expose the latest advances in relevant techniques. Machine learning experts and ML-aware physicists will work hand in hand on existing datasets, building upon and improving existing solutions.Bibliography and open datasets will have been made available months earlier in order to make the event most productive. Under this particular environment, the participants will be able to discuss and understand shortcomings of existing solutions and develop novel architectures and methods to outperform on the specific problem.
DIS2022 is the 29th in the series of annual workshops on Deep-Inelastic Scattering (DIS) and Related Subjects. The conference covers a large spectrum of topics in high energy physics. A significant part of the program is devoted to the most recent results from large experiments at BNL, CERN, DESY, FNAL, JLab and KEK. Theoretical advances are included as well. The last four editions were in Stony Brook in 2021 (virtual), Torino in 2019, Kobe in 2018 and Birmingham in 2017; a full list of previous editions can be found here.
Due to the COVID situation, the decision on the format of the conference has not been taken yet. If in person, it will be held in Santiago de Compostela. We will update the webpage, open the registration and email the news as soon as a decision has been taken.
This is the fifth annual workshop of the LPCC inter-experimental machine learning working group at CERN. It will take place at CERN with remote participation made possible.
This is the fourth annual workshop of the LPCC inter-experimental machine learning working group.
The structure is the following :
- Monday 28th March : Tutorials
- Tuesday 29th March : Plenary
- Wednesday 30th March-Friday 1st April: workshop sessions
The following plenary speakers are confirmed so far:
- Konstantinos Bousmalis (Deepmind Robotics)
- Laurent Daudet (LightOn)
- Anna Goldie (Google Brain)
- Alex Gramfort (INRIA)
- Tommaso Dorigo (U Padova)
- Nils Thuerey (TUM)
- Sofia Vallecorsa (CERN)
- Christoph Weniger (GRAPPA, Amsterdam)
The bulk of the workshop will be be built from contributed talks, for which abstract submission is open (will close 18th Feb 2022). For the contributed talks, the following Tracks have been defined:
- ML for object identification and reconstruction
- ML for analysis : event classification, statistical analysis and inference, including anomaly detection
- ML for simulation and surrogate model : Application of Machine Learning to simulation or other cases where it is deemed to replace an existing complex model
- Fast ML : Application of Machine Learning to DAQ/Trigger/Real Time Analysis
- ML infrastructure : Hardware and software for Machine Learning
- ML training, courses, tutorial, open datasets and challenges
- ML for astroparticle
- ML for phenomenology and theory
- ML for particle accelerators
- Other
Despite its undeniable success, there are evidences that the Standard Model cannot be the fundamental theory of electromagnetic, weak and strong interactions. The search for a theory beyond the Standard Model is deeply connected to another fundamental question in theoretical physics, namely understanding the structure of quantum gravity. Whatever effective theory might describe particle interactions beyond the observable energy scale must eventually be completed into quantum gravity. Recently, a lot of activity has been devoted to determine criteria which differentiate between effective low-energy field theories that can be consistently coupled to quantum gravity from theories that, even if they seem to be consistent, cannot. In the current jargon, the former are said to be in the `Landscape’ while the latter form the so-called `Swampland’. A number of such criteria, or Swampland Conjectures, have been proposed in the literature and attracted considerable interest in the high energy physics community. The Swampland Conjectures have profound implications for many open issues in physics and cosmology, such as the structure of large field inflation in early-time cosmology, or the mechanism responsible for the observed late-time acceleration of the universe, to name some of the most striking examples. It is therefore extremely important and timely to put such conjectures on firmer grounds.
A concrete and particularly well developed framework to address specific questions of quantum gravity is String Theory, where the Swampland conjectures translate into conjectures regarding the structure of possible string geometries. Recent work has shown that these geometries have an elegant reformulation in terms of a generalized version of Riemannian geometry. The goal of this workshop is to explore the intriguing connections between general properties of quantum gravity and the generalized geometry of string theory. The workshop aims to bring together the swampland community and the generalized geometry community at this unique time in which our understanding of the Swampland is quickly evolving.
Following the recommendations from the European Strategy for Particle Physics, CERN has now launched the FCC Feasibility study (FCC-FS), of the FCC colliders (ee and hh) as a global project with its international partners. The study goals include optimization of the placement and layout of the ring and related infrastructure, and demonstration of the geological, technical, environmental and administrative feasibility of the tunnel and surface areas, as well as the preparatory administrative processes required for a potential project approval, together with the Host States. The study will deepen the design of FCC-ee and FCC-hh and their injectors, supported by R&D on key technologies. The financial feasibility study will focus on the first stage (tunnel and FCC-ee). One of the pillars of the FCC-FS organization is the Physics Experiments and Detectors (PED) study, in which the physics case and detector concepts will be consolidated for both colliders (FCC-ee and FCC-hh, with its heavy ion programme and with the e-p option).
The 5th FCC Physics, Experiments and Detectors workshop will reflect the status and achievements of FCC PED studies and initiate new activities. All PED Working group packages will be represented, Physics Programme, Physics Performance, Detector Concepts and Physics Software and Computing, as well as the joint FCC-ee Accelerator-Experiment working groups (machine-detector interface (MDI) and centre-of-mass energy calibration, polarization and monochromatization (EPOL)). Joint sessions and tutorials will reinforce the synergies between working groups.
The workshop welcomes the widest community, geographically, thematically (colliders and beyond), and members of other ‘Higgs factory’ and future projects.
The Casa Matemática Oaxaca (CMO) will host the “Detection and Analysis of Gravitational Waves in the era of Multi-Messenger Astronomy: From Mathematical Modelling to Machine Learning” workshop in Oaxaca, from November 14 to November 19, 2021.
Gravitational waves are a new way to explore the sky and uncover the deepest mysteries of the Universe. The aim of this workshop is to provide researchers with a forum to present recent progress in the field and discuss its future, from mathematical modelling of gravitational-wave sources to integration of data analysis techniques with machine learning.
The format of the workshop will be hybrid with a mix of online and in-person participation. There is no registration fee to attend, but registration is required. If you are interested in attending, please register at this link before November 1st, 2021. However, due to covid-19 restrictions in-person attendance will be limited, therefore we ask you to register as soon as possible. Early-career scientists and students are particularly encouraged to attend.
The Banff International Research Station will host the “Gravitational Emergence in AdS/CFT” workshop in Banff from October 24 to October 29, 2021.
An outstanding problem of modern physics is the reconciliation of the two most successful broad theories of physics: general relativity, which describes the gravitational force exerted by massive objects in terms of the bending and rippling of spacetime, and quantum mechanics, which describes the behavior of matter on the minute scales of subatomic particles such as electrons. While both theories are remarkably successful independently, they appear to give contradictory predictions of phenomena that involve gravity at the small scales at which quantum mechanics is relevant. Such phenomena include the Big Bang, when the universe was small enough to be described by quantum mechanics and sufficiently dense to also require a gravitational description; also the process of the final stages of the death of a large star, when a black hole is formed and the star’s matter is concentrated in an extremely small volume. A proper description of these phenomena requires a unified theory of quantum gravity.
A particular model of quantum gravity, and the one on which this workshop focuses, works to understand an idealized situation in which gravity essentially lives “in a box”. It is a remarkable property of quantum gravity that the behavior of gravity inside the box, including quantum effects, can be described purely by the physics on the surface of the box. Importantly, because the surface of the box is rigid, no gravity is needed in describing its physics: hence the remarkable feature of this model is that quantum gravitational physics can actually be described without apparently using any gravity at all! Answering questions like what happened in the Big Bang or what happens inside black holes then amounts to rephrasing what’s happening on the boundary of the box, which we understand well, in the gravitational language of the inside. This rephrasing is called bulk reconstruction, and is the focus of this workshop.
QCD-N2021 is the 5th edition of the series of workshops on the QCD Structure of the Nucleon, previously held in Ferrara (2002), Frascati (2006), Bilbao (2012) and Getxo (2016). The main focus of this series of workshops is the investigation of the multi-dimensional nucleon structure and related topics in quantum chromodynamics.
This edition will emphasize the recent progress in the field from theory, lattice-QCD and phenomenology, as well as new developments coming from synergies with Quantum Information Science. The workshop will be complemented by presentations of projects planned all over the world at current and future high-energy facilities for a deeper understanding of the nucleon structure.
We are looking forward to welcoming you at QCD-N2021 at the University of Alcala, Alcalá de Henares, Madrid. SPAIN. On behalf of all, you are cordially invited to participate.
