Laboratoire d'Annecy de Physique des Particules

M2 Intership : Measurement of the electroweak diboson production in the W±Z channel with Run 2 and Run 3 data

2023-11-30T15:52:58Z

The scattering of vector bosons (VBS), V V → V V with V = W/Z/γ, is a key process with which to probe the SU(2)L ×U(1)Y gauge symmetry of the electroweak (EW) theory that determines the self-couplings of the vector bosons. Rare and difficult to differentiate from its important background, it was only observed during the Run 2 of the LHC. This internship will be dedicated to the detailed study of this process, with an important focus on the differential cross section measurements that can be useful for the search of new physics in the context of Effective Field Theories. The analysis will be performed with the joint Run 2 and (partial) Run 3 dataset. The internship will be fully integrated to the current activities of the ATLAS LAPP Group dedicated to the Standard Model and most particularly the diboson production studies. It will require a regular presence at CERN, and could potentially evolve on a PhD thesis project.

The integrated luminosity of Run 3 will allow to carefully study this process and use it as a frame for the search of new physics that could generate additional contributions to quartic gauge couplings (QGC). Run 3 will also be a very important period for the preparation of the longitudinally polarized VBS, VL VL → VL VL, that consists on an indirect approach to the study of the EW symmetry breaking mechanism. This PhD will focus on the VBS channel having a final state including a W and a Z boson as well as two hadronic jets. The most important challenges to these studies are the high theoretical uncertainties related to the signal and the background coming from the non-electroweak WZ production, as well as the systematic uncertainty rising from the energy reconstruction of the hadronic jets. The PhD student will have a major contribution on the WZjj analysis with full data from Run 3, including the study of the theoretical modelling of the signal and the most important background in collaboration with theoretical physicists. Machine learning approaches will be essential on many items of the analysis, such as the signal isolation or the quark and gluons separation that could lead to a decrease of the background. Finally, this PhD foresees the interpretation of the results in the context of Effective Field Theories, where ML techniques start to be used and appear to be particularly promising. In addition, the PhD student will contribute to the upgrade of the ATLAS Liquid Argon Calorimeter in the context of the upcoming second phase of the LHC. The duration of the PhD thesis is three years. The geographical proximity of LAPP and CERN, about 50 km and 35' drive, will allow a strong involvement both with the data taking and detector operation and with the participation in person to the working meetings of the ATLAS Standard Model Group. A period of several months of continuous presence at CERN is foreseen.

supervisor : Iro Koletsou
email : koletsou@lapp.in2p3.fr
Phone number : +33 4 50 09 17 49

M2 Internship : Measurement of the double Higgs boson production in the bbγγ channel with Run 2 and Run 3 data

2023-11-30T15:50:43Z

The measurement of the Higgs self-coupling at the LHC is of fundamental importance since it is the only way to experimentally assess the properties of the Higgs potential in a model-independent way. The most promising channel to perform such a measurement is HH → bbγγ process, that retains one of the largest sensitivities to the double Higgs production, and will be the focus of the ATLAS Higgs physics program at the LHC Run 3. The internship will focus on the development of the new ATLAS search for the HH → bbγγ process using the full LHC Run 2 and the partial Run 3 datasets, by exploring innovative analysis techniques such as a Kinematic Fit of the bbγγ system to improve the H → bb resolution; novel Machine-Learning-based photon identification to increase the H → γγ signal efficiency especially for low transverse momentum photons; and the Matrix Element Method to improve the global signal-to-background discrimination. The analysis will be performed with the joint Run 2 and (partial) Run 3 dataset. The internship will take place within the focus of to the current activities of the ATLAS LAPP Group dedicated to the Higgs and double-Higgs studies. It will require a regular presence at CERN, and could potentially evolve on a PhD thesis project.

The M2 internship can be expanded into a PhD project focused on the measurement and interpretation of the HH → bbγγ signal exploiting the full LHC Run 2 and Run 3 datasets.

The project will explore the separate treatment of various HH production modes to improve the analysis sensitiv- ity, and the final measurement will be designed to be robust against any deviation from the SM predictions, and to maximize sensitivity when interpreted in the context of Effective Field Theories (EFTs), such as the HEFT model. The analysis work will take place in the broader context of the ATLAS search for di-Higgs production in various decay channels, and a participation to Run 2 and Run 3 di-Higgs combination is foreseen. In parallel, the student will contribute to the improvement of the photon performance in ATLAS, with a strong connection to the understanding of the performance of the ATLAS Liquid Argon electromagnetic calorimeter with Run 3 data.

The duration of the PhD thesis is three years. The geographical proximity of LAPP and CERN, about 50 km and 35' drive, will allow a strong involvement both with the data taking and detector operation and with the partici- pation in person to the working meetings of the ATLAS (di)Higgs Group. A period of several months of continuous presence at CERN is foreseen.

supervisor : Marco Delmastro
Phone Number : +33 4 50 09 17 85 (LAPP), +41 75 411 86 90 (CERN)
email :marco.delmastro@cern.ch

A bang and a flash in the hubbub and haze — GW170817 / GRB 170817A and noises limiting gravitational wave detectorsSoutenance de HDR de Michal Was (LAPP)Jeudi 23 novembre à 9hAuditorium Marcel Vivargent

2023-11-14T13:07:01Z

- Seminars & Defenses

Engineer Intership -: Dev-Ops for Data's storage for large scale international experiment (CTA)

2023-11-13T12:37:33Z

The Cherenkov Telescope Array (CTA) is the next generation ground-based observatory for gamma-ray astronomy at very-high energies. With more than 100 telescopes located in the northern and southern hemispheres, CTA will be the world's largest and most sensitive high-energy gamma-ray observatory. We expect to generate 4 PB of data per year that needs to be stored. The goal of the internship is : • Define interfaces with software deployed from the “archive” project (RUCIO, IAM, FTS, ...) • Deploy the archive component into a continuous Delivery framework (gitLab CI, and Kubernetes) • Implement integration tests to validate the communication between the subsystems from the « archive ».

The trainee will be in contact with CERN in Geneva, and Data centers across Europe (Berlin, Swiss, ..)

Supervisor : Frédéric Gillardo
Mail : gillardo@lapp.in2p3.fr
Phnoe number : +33 614090433

13 Décembre 2023 Conférence : La vie et la mort des étoiles

2023-11-10T08:54:08Z

Conférence à 18h par Damir Buskulic, enseignant-chercheur au LAPP / USMB. Visites d'Eutopia dès 17h.

Comme toutes les structures en évolution de l'univers, une étoile se forme, vit et disparaît en se transformant, le plus souvent de façon très violente, en objets exotiques comme les naines blanches, les étoiles à neutrons ou les trous noirs. Nous décrirons ces transformations et les différentes étapes de la vie d'une étoile en illustrant quelques concepts de physique qui sont liés.

Conférence présentée par Damir Buskulic, enseignant-chercheur au LAPP et à l'USMB.

La conférence aura lieu le mercredi 13 décembre 2023 de 18h à 19h au LAPP à Annecy.

Avant la conférence, les personnes intéressées pourront également visiter l'Espace Découvertes EUTOPIA à partir de 17h pour des échanges privilégiés avec les scientifiques.

Pour la conférence comme pour les visites, l'entrée est gratuite et sans inscription (dans la limite des places disponibles).

Plus d'informations ici : https://indico.in2p3.fr/event/30570/

Les Mercredis du LAPP

En 2023-2024, à l'occasion de l'Année de la Physique, le LAPP lance une nouvelle série d'événements gratuits : les Mercredis du LAPP.

Un mercredi par mois, les agents du LAPP vous invitent à découvrir une facette de la recherche lors d'un rendez-vous gratuit et ouvert à tous. Conférences, visites, échanges, ateliers...

Programme et informations ici : https://indico.in2p3.fr/event/30570/

Flyer événements LAPP 2023-2024

Chronicles of one year stay in Antarctica at the Concordia baseT. GASPARETTO (INAF)Vendredi 10 novembre à 14hAuditorium Marcel Vivargent

2023-11-07T10:18:49Z

- Seminars & Defenses

M2 Intership : Investigation of a (very) low-latency h(t) gravitational wave signal reconstruction method for the Virgo experiment

2023-10-19T11:10:31Z

In 2015, the detection of gravitational waves enabled us to observe the coalescence of binaries composed of two black holes for the first time, thus opening up the field of gravitational astronomy. In 2017, the first observation of a coalescence of two neutron stars in coincidence with the observation of electromagnetic signals opened up the field of multi-messenger observations. Since then, more than a hundred such events have been observed, testing Einstein's theory of gravitation and opening up new questions about the fascinating objects that are black holes. The Virgo collaboration is involved in this research through the Virgo detector, a 3 km-long interferometer located in Italy near Pisa. The LAPP has been contributing to this experiment for some thirty years.

The gravitational wave signal h(t) used to detect sources and then study their physical parameters is reconstructed from the interferometer data. The reconstruction algorithm, for which LAPP is responsible, currently has a latency of around 8 s between the moment the data is received and the moment the h(t) signal is available for analysis. This signal is analyzed on- line by various algorithms that search for gravitational wave signals in the data from the worldwide network of LIGO, Virgo and KAGRA interferometers, in order to detect sources, locate them and generate alerts, with a latency of around 30 s, to trigger observations in the electromagnetic domain or with other messengers. In the case of neutron star coalescences, the gravitational wave evolves for around one minute within the bandwidth of the detectors. For these promising objects in terms of multi-messenger observation, it should be possible, using the onset of the measured signal, to anticipate the detection and localization of the source to issue the warning as early as possible, potentially before the moment of coalescence itself. To achieve this goal, the latencies of each analysis step must be reduced. At present, one of the major contributions comes from the reconstruction algorithm, and the method used does not allow it to be significantly reduced.

The internship involves the implementation and validation testing of a new reconstruction algorithm, faster than the one currently in use, with the hope of achieving a latency of 1 s or even less.

Possible indication of an opening towards a thesis subject: This internship is intended to be followed by a thesis. The internship work could be extended to refine the fast reconstruction algorithm and integrate it into the Virgo experiment in preparation for the next observation period, O5. In addition, this work could be extended to a variety of activities:

in connection with detector calibration: for example, improvements to an optical system for Virgo calibration, in partnership with colleagues from LIGO and Kagra, to improve calibration accuracy and h(t) signal reconstruction.
or linked to data analysis: for example, improvements to an algorithm for searching for coalescences of binary systems, to prepare for future observation periods with increasingly high detection rates.

Supervisor : Loic ROLLAND
Mail : loic.rolland@lapp.in2p3.fr
Phone Number : 04 50 09 55 18

Project Scientist in ESCAPE (M/F)

Louise DAIGNAN — 2023-10-17T09:27:44Z

Are you a scientist familiar with data analysis, digital challenges and interested in open science and FAIR data management? Would you like to evolve in a multidisciplinary context and participate in EU priority programmes? Would you like to play a leading role in actions to ensure the integration of scientific data, tools, services and software, to promote common approaches to implement open data management for fundamental science? Would you like to be part of a major ESFRI research infrastructure in astrophysics or particle/nuclear physics, while strengthening your scientific leadership and management skills? This position could match your expectations!

The CNRS-LAPP institute has invited applications from qualified candidates to serve as Project Scientist in support of the work programme of the ESCAPE (European Science Cluster of Astronomy & Particle physics ESFRI research infrastructures) international collaboration and in cooperation with the other four science clusters (ENVRI-FAIR, EOSC-LIFE, PANOSC, SSHOC). ESCAPE aims to address the Open Science challenges shared by ESFRI facilities (CTA, ELT, EST, ET, FAIR, HL-LHC, KM3NeT, SKA) as well as other pan-European research infrastructures (CERN, ESO, JIV-ERIC, EGO- Virgo) in astronomy and particle physics research domains.

Activities

The Project Scientist will have to play a relevant part in the international ESCAPE collaboration and a leading role in the context of the Horizon Europe OSCARS project, in which transdisciplinary synergies are built between the five thematic scientific clusters of the ESFRIs. In particular, the candidate is expected to ensure a series of activities in three contexts.

1) Management The candidate will be expected to:
integrate the OSCARS Management Team (composed of the Coordinator, the Project Manager, a Communication Officer, a Dissemination Manager, and Financial/Administrative Assistants);
support the ESCAPE Director;
monitor the progress of the various OSCARS WPs;
promote coordination and maintain interfaces between the two OSCARS technical WPs;
supervise the implementation and execution of the cascading grant open calls for open science projects and services;
support the promotion of ESCAPE and OSCARS in international fora;
coordinating the work on science dissemination and communication;

2) Development The candidate will lead the implementation of the Community-based ESCAPE Competence Centre - CCC (within the framework of the EU EOSC) by:
consolidating the set of competences of the astrophysics and particle physics community in data management and scientific analysis services;
analysing, structuring, and sizing the CCC's offer in terms of mentoring support, training and coordinating actions for Open Science;
planning the CCC's mission towards emerging thematic RIs (ESFRI or others);
promoting awareness, involvement and activity of CCCs within the wider scientific community;
cooperating with international partners to improve the robustness of data management and curation protocols and to increase awareness and implementation of Open Science workflows. 3) Scientific lead The candidate will have to:
ensure the scientific overview of ESCAPE domain-based open-science projects conducted by third parties and to be funded through OSCARS open calls;
monitor the funded projects and the publication of scientific results;
propose and foster, within the ESCAPE collaboration, mentoring actions in support of third-party funded projects;
participate in the organization of international training events and open science camps.
leading the ESCAPE/OSCARS local CNRS research team (composed of scientists, engineers and PhD students);

Skills

PhD in particle physics, astrophysics, computer science or equivalent experience.
Experience in data analysis.
In-depth expertise in at least one of the following domains: modern software programming languages, scientific data analysis methods, open science services, data-intensive services, grid and cloud computing, numerical simulations, numerical mathematics, high-performance computing.
Ability to collaborate and work across disciplines.
Knowledge and/or work experience in research project management.

Other skills:

Demonstrate rigor and reliability.
Have a good relationship, the sense of organization and the taste of teamwork.
Have the ability to manage their work autonomously, be able to take initiatives and be able to adapt quickly to the evolution of the project and tasks.
Ability to collaborate with experts in other areas and to apply knowledge in areas of expertise other than one's own.
Ability to operate across organisational boundaries – in a matrix-style organisation.
The ability to work in the context of an international project.
Excellent spoken and written English.

Context

LAPP is a high-energy physics laboratory located in Annecy, 50kms from Geneva. The laboratory was founded in 1976 and is one of the laboratories of IN2P3 (Institut de Physique Nucléaire et de Physique des Particules), institute of CNRS (Centre National de la Recherche Scientifique). LAPP is a joint research laboratory of the University Savoie Mont Blanc (USMB) and the CNRS-IN2P3. Close to 150 people are working at LAPP. Research carried out at LAPP aims at studying the ultimate constituents of the matter, their fundamental interactions, as well as exploring their connections with the large structures of the Universe. The LAPP laboratory coordinates the ESCAPE international collaboration. The European Union member states, recognising the challenges of data driven research in pursuing excellent science, have launched the European Open Science Cloud (EOSC) initiative. EOSC is a cloud for research data in Europe allowing for universal access to data through a single online platform. ESCAPE aims to address the Open Science challenges shared by ESFRI facilities (CTA, ELT, EST, ET, FAIR, HL- LHC, KM3NeT, SKA) as well as other pan-European research infrastructures (CERN, ESO, JIV-ERIC, EGO- Virgo) in astronomy and particle physics research domains. The complexity of all these new research infrastructures grows rapidly, the data volume produced by them is seeing a tremendous increase and the software to analyse the data is becoming more and more complex. On the other hand, this data should be accessible to the growing scientific communities, as they collaborate and interact. The ESCAPE actions aim at delivering solutions to ensure integration of data, tools, services and scientific software; to foster common approaches to implement open-data stewardship; to establish interoperability within EOSC as an integrated multi-probe facility for fundamental science.

The OSCARS project brings together European Research Infrastructures (RIs) organized into five "Science Clusters" (ESCAPE, ENVRI-FAIR, EOSC-LIFE, PANOSC, SSHOC) along the ESFRI thematic research domains. Together with their broader scientific (user) communities, the RIs in the OSCARS project have two main objectives: (A) consolidating achievements from the five H2020 cluster projects into lasting interdisciplinary services and working practices; (B) leading and fostering the involvement of a broad range of research communities in EOSC via the development of new Open Science projects, that together will drive the uptake of FAIR-data-intensive research throughout the European Research Area (ERA). Such an objective will be pursued through funding calls open to all researchers.

Websites: CNRS: https://www.cnrs.fr/en

IN2P3: https://www.in2p3.cnrs.fr/fr

LAPP: https://lapp.in2p3.fr/

ESCAPE: https://projectescape.eu/

Science Clusters: https://science-clusters.eu/

Type of contract: temporary contract

Appointment period: 3 years

Scheduled Hire date: 01/01/2024 or date to be agreed

Interested candidates should apply on the CNRS Job Portal: https://emploi.cnrs.fr/Offres/CDD/U...

Research Engineer in IT (M/W)

Louise DAIGNAN — 2023-10-17T08:27:24Z

We invite you to join our innovative project focused on the development and implementation of cutting-edge machine learning techniques in the analysis of telescope data for the CTAO (https://www.cta-observatory.org/) and LST (https://www.lst1.iac.es/) collaborations. You will play a vital role in enhancing the performance and real-time adaptability of our specialized neural network, ɣ-PhysNet. Your work will be crucial in tasks ranging from adapting the network to different observation conditions and optimizing it for real-time performance to building a production analysis pipeline.

Mission

The LAPP laboratory is offering a position for a research engineer specialising in data analysis pipelines and Artificial Intelligence as part of the GammaLearn-DIRECTA project funded by the National Agency for Research. The selected candidate will be integrated into the CTA team. Their mission will be to define strategies, implement workflows, conduct performance analyses, and integrate these into our real-time pipelines. They will be a part of a multidisciplinary team of experts, and their contributions will be open-source, driving the project's commitment to transparency and reproducibility. See below for a detailed summary of the responsibilities and the skills required.

Responsibilities

● Develop automated analysis pipelines for telescope data. ● Integrate machine learning strategies into these analysis pipelines. ● Conduct performance analyses on these analysis pipelines. ● Work closely with team members to integrate the developed solutions into the existing real-time pipeline.

Qualifications:

● PhD or Master's in Computer Science, Physics, Astronomy, or related field. ● Proficiency in Python. ● Experience in data analysis (experience using computing clusters and SLURM is a plus). ● Experience in machine learning and deep learning (experience with PyTorch is a plus). ● Understanding of real-time system constraints. ● Knowledge of performance analysis tools. ● Self-sufficiency. ● Conceptualization skills. ● Creativity/Innovation sense. ● Organizational skills, analytical thinking, meticulousness. ● Excellent communication skills, diplomacy, goal-setting ability, proactive approach. ● Ability to present work. ● Good writing skills. ● Proficiency in English.

Why You Should Join

● Work on innovative projects at the intersection of machine learning, real-time computing, and astronomy. ● Be part of a multidisciplinary team of experts working in an international research environment. ● Contribute to open-source initiatives and the construction of a global-scale telescope network. ● Enhance your skills and knowledge in deep learning. ● Opportunities for international travel. ● Opportunities for scientific publication.

If you are enthusiastic about using machine learning to solve complex real-world problems, and you possess the skills listed above, we would be delighted to hear from you.

About LAPP, the Cherenkov Telescope Array and the GammaLearn project

The LAPP (https://lapp.in2p3.fr/) is a high-energy physics laboratory where approximately 150 researchers, engineers, and technicians work. It is located in Annecy, less than 50 km from Geneva. The laboratory was founded in 1976 and is one of the 15 laboratories of the IN2P3 (Institute of Nuclear Physics and Particle Physics), an institute of the CNRS (National Center for Scientific Research). LAPP is a joint research laboratory of the University of Savoie Mont Blanc (USMB) and the CNRS. The research carried out at LAPP aims to study the ultimate constituents of matter, and their fundamental interactions, as well as to explore their links with the larger structures of the Universe. LAPP is internationally involved in CERN's LHC experiments (ATLAS, LHCb), neutrino experiments (DUNE, ...), astrophysics (CTA, LSST), and gravitational wave experiments (VIRGO). The laboratory's location near CERN and the presence of a theoretical physics laboratory on the same premises make it a very attractive laboratory for scientists in this field of research.

The Cherenkov Telescope Array Observatory (CTAO) is an ambitious international initiative aimed at building the world's largest and most advanced ground-based gamma-ray observatory. Comprising two sites—one in the Northern Hemisphere and one in the Southern Hemisphere—the CTA will feature an array of telescopes of different sizes, including Large Sized Telescopes (LST), Medium Sized Telescopes (MST), and Small Sized Telescopes (SST). These telescopes will work collaboratively to detect the Cherenkov radiation emitted from gamma-ray interactions with the Earth's atmosphere, providing unparalleled sensitivity and resolution in gamma-ray astronomy. LAPP is a significant contributor to the CTA, particularly in the domain of data analysis and is responsible for the real-time event reconstruction pipeline. The LST-1, first on-site telescope of future observatory is under commissioning and has been taking data since 2020 already.

GammaLearn is an innovative project started in 2018 and focusing on harnessing the power of deep learning, specifically neural networks, to advance the way we analyze and interpret data from Cherenkov telescopes. Its first application is the event reconstruction (to retrieve events physical properties such as type, energy and incoming direction) based on the images or videos recorded by Cherenkov telescopes. Its main network, g-PhysNet, has proven to be effective on Monte-Carlo simulations and real data from the LST-1 and is now aiming to be used in productions and in real-time. More information about GammaLearn: https://purl.org/gammalearn

Type of contract: temporary contract

Appointment period: 2 years

Scheduled Hire date: 01/02/2024 or date to be agreed

Interested candidates should apply on the CNRS Job Portal https://emploi.cnrs.fr/Offres/CDD/U...

In 2023-2024, LAPP will open its doors to the public on one Wednesday each month.

2023-10-13T08:12:52Z

In 2023-2024, to celebrate the Year of Physics, LAPP is launching a new series of events: LAPP Wednesdays. Visitors to the LAPP will be able to take part in a series of events for the general public on one Wednesday each month, including visits to the Espace Découvertes Eutopia.

A diverse programme open to all: conferences, discussions and workshops

One Wednesday a month, LAPP staff invite you to discover a facet of research during a free event open to all. Conferences, visits, discussions, workshops... Several formats accessible to all audiences will be offered throughout the year. The events will be held in French.

The 2023-2024 LAPP Wednesdays programme is announced on the dedicated website. Other events will be announced over time: https://indico.in2p3.fr/event/30570/

The first event will take place on Wednesday 8 November 2023 from 5pm, with tours of Eutopia and a conference-debate at 6pm on the scientific approach. For more information, click here: https://indico.in2p3.fr/event/30570/

LAPP continues its commitment to society

The LAPP is strongly attached to its local roots in Haute-Savoie, and for several years now has been taking steps to develop links between society and science, and to open up the laboratory to society and the local community.

« Research, both public and private, is there to advance knowledge for human beings and for society. We need to help our fellow citizens get closer to that goal. » Giovanni Lamanna, Director of LAPP, in Propos de chercheurs 2022 (Fondation USMB)

The Eutopia project was born of LAPP's desire to share its knowledge and scientific advances with the general public and to make its scientific disciplines accessible to as many people as possible.

The Espace Découvertes Eutopia, inaugurated in 2019, has been funded by three local authorities (Grand Annecy, Haute-Savoie department and Auvergne-Rhône-Alpes region), by the Initiative d'excellence Université Grenoble Alpes, by the Labex Enigmass and by the laboratory's two supervisory bodies: CNRS and Université Savoie Mont Blanc. Within this immersive space, animated by researchers and engineers, LAPP offers to all publics, from schoolchildren to the socio-economic world, an original space to discover physics in a different way.

With LAPP Wednesdays, the laboratory is continuing to open its doors to the general public, an approach it has been pursuing for many years, notably by organising open days during the Fête de la Science.

For further information:
LAPP website: https://lapp.in2p3.fr/
Programme of the LAPP Wednesdays: https://indico.in2p3.fr/event/30570/
Espace Découvertes Eutopia : https://lapp.in2p3.fr/spip.php?article2711
Contact for visits at LAPP: visites@lapp.in2p3.fr

Flyer événements LAPP 2023-2024