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ESR12: Pratik Jawahar (University of Manchester)

  • ESR1: Patin Inkaew (University of Helsinki)
  • ESR5: Fotis Giasemis (Sorbonne University)
  • ESR7: James Gooding (TU Dortmund)
  • ESR8: Micol Olocco (TU Dortmund)
  • ESR6: Daniel Magdalinski (VU Amsterdam)
  • ESR2: Laura Boggia (IBM and Sorbonne University)
  • ESR3: Leon Bozianu (University of Geneva)
  • ESR4: Sofia Cella (CERN and University of Geneva)
  • ESR11: Henrique Piñeiro Monteagudo (Verizon Connect and UniBo)
  • ESR12: Pratik Jawahar (University of Manchester)
  • ESR10: Joachim Carlo Kristian Hansen (Lund University)
  • ESR9: Carlos Cocha (University of Heidelberg)
Home Early Stage Researchers ESR12: Pratik Jawahar (University of Manchester)

ESR12: Accelerated anomaly detection

APPLY FOR THIS POSITION

Project Description

Fast particle tracking in the HL-LHC trigger is a crucial element of the success of the ATLAS physics program and in particular of RTA searches for dark matter, since one of the main backgrounds to these analyses is due to simultaneous proton-proton interactions that can be distinguished using tracking information. For this reason, this project consists of the implementation of the experiment-independent ACTS tracking software on accelerators, supervised by ATLAS experts at the University of Manchester and at CERN.

A second objective of this project is to implement anomaly detection on accelerators for the ATLAS experiment. Anomaly detection is an ML technique concerned with the detection of ultra-rare “anomalous” events which do not follow part of the “normal” pattern of input samples and where little is known about the distribution of these anomalies. In particular, there has been a growing interest in running those algorithms on accelerators such as FPGAs, to be able to use them already at the initial level of the trigger system in RTA. The student will be working with CERN experts to contribute to and use the HLS4ML software package for this purpose. The algorithms that are the outcome of this collaboration will then be used to refine the initial selection of the prospective dark matter search that uses accelerated tracking in subsequent trigger levels.

The student working on this project will also be integrated in the interdisciplinary 4IR centre for doctoral training at the University’s Institute for Data Science and AI led by Manchester scientists.

Host country: United Kingdom
Host beneficiary: University of Manchester
PhD-awarding institution: University of Manchester
Planned collaborations: CERN

ESR: Pratik Jawahar

I have a background in computer science and bring prior machine learning experience to the project. I previously worked on Anomaly Detection for new physics searches with CMS. We explored the relatively less used Normalizing Flow technique to improve the performance of Variational Autoencoders in Anomaly Detection. I’m determined to use this experience in implementing similar algorithms within a real time analysis(RTA) framework for the ATLAS experiment via my PhD research. I will also help develop more efficient implementations of the tracking algorithm for the ATLAS experiment, using advancements in the ACTS framework. The end goal of assisting the search for the evidence of dark matter through Anomaly Detection at the trigger level excites me and serves as the primary motivator for this work. I aim to work in the intersection of Physics and Artificial Intelligence in the future and I thoroughly enjoy the symbiotic development of both fields.

Institute and supervisor information

The University of Manchester

Manchester’s mission is to be a world leader in the quality of higher education offered, the excellence and impact of the research undertaken and the value of the contributions made to the economic, social and cultural life and environmental sustainability of the wider society. It is currently ranked 40th in the Jiao Tong Academic Ranking of World Universities.

The University has four faculties, twenty academic schools and hundreds of specialist research groups undertaking pioneering multi-disciplinary teaching and research of worldwide significance. More than 5500 academic and research staff, and a further 5000 support staff spearhead the research and teaching activity in the university. Manchester has the largest student community in the UK, with more than 28000 undergraduates and 11000 postgraduates attracted by the high international standing of the academic staff, by the superb research and teaching facilities, and by the cultural assets both of the university and the city of Manchester itself.

The University of Manchester strives to make our community a welcoming, caring and enthusiastic one, fuelling ambition with opportunities and support to help us all achieve our personal and professional goals.

Our diverse job opportunities include an attractive benefits package with family-friendly policies that provide for flexible working. We care deeply about career and personal development, offering a structured induction programme for new staff, an annual performance and development review, staff training for all career stages and mentoring opportunities to support your career development. We have a genuine commitment to equality of opportunity for our staff and students, which is also reflected in the ATLAS group.

School for Physics and Astronomy

The School of Physics and Astronomy is one of the largest and most active in Britain with 80 academic staff, 70 postdoctoral research associates, 820 undergraduate/postgraduate students and 180 research/support staff. A tradition of excellence has been established by many eminent teachers and research workers, including eleven Nobel Prize winners, such as Rutherford, Bohr, Bragg and Blackett, and most recently Andre Geim and Kostya Novoselov, who were awarded the honour in 2010 for their pioneering work on graphene. The School is also very active in public engagement, with Professors Tim O’Brien, Brian Cox and Jeff Forshaw featuring regularly in the scientific and popular media. Manchester is the only UK Physics department to be both in the top five for the volume of world-leading and internationally excellent research, and to have the maximum rating for teaching and student support, and is currently ranked 16th in the subject- specific Jiao Tong Academic Ranking of World Universities.

The Manchester Particle Physics and ATLAS group

The successful candidate will work with the ATLAS group at The University of Manchester. The Manchester ATLAS group comprises more than 30 members, with six academic members of staff, and around ten research staff and fifteen PhD students.  The Manchester group is strongly involved in many areas of ATLAS, including the study of events containing Higgs, W, and Z bosons, and top quarks, as well as searches for new phenomena. Manchester has also major roles in the ATLAS trigger, as well as in upgrades to the tracking detectors and trigger.

The Manchester High-Energy Physics group is one of the largest UK particle physics groups and is also involved in the ATLAS, BESIII, SuperNEMO, DarkSide, DUNE, g-2, MicroBooNE, Mu2e, and SBND experiments. It has a strong theory group with involvement in QCD, BSM, particle cosmology and quark flavour phenomenology.

Image of Caterina Doglioni

Main supervisor: Caterina Doglioni

Caterina Doglioni is a professor of particle physics at the University of Manchester (UK), with a joint appointment at Lund University (Sweden). Throughout her career, she has been driven by finding out more about the constituents of matter as well as by the challenges related to the “big science” needed to study them. The Large Hadron Collider is the perfect scientific environment to combine the two: with her group and colleagues she works on the challenges that a data-rich research environment presents for discoveries of rare processes at ATLAS (more information about dark matter at ATLAS). She has been funded by the European Research Council, first through the DARKJETS ERC Starting Grant, and currently through the REALDARK ERC consolidator grant. She will co-supervise this ESR project together with trigger and tracking expert Jiri Masik at the University of Manchester.

Email Caterina | Twitter

Image of Maurizio-Pierini

Collaborator: Maurizio Pierini

Maurizio Pierini is a particle physicist working on the CMS experiment at the Large Hadron Collider at CERN. He currently holds an ERC Consolidator Grant for a project that aims to use Deep Learning solutions to address particle physics problems.

ABOUT US

SMARTHEP is a network that connects the fields of High Energy Physics (HEP) and Data Science, especially in relation to the challenges of  processing large datasets using real-time analysis.

SMARTHEP is intended as a consortium formed by academic and industrial partners on scientific, technological, and entrepreneurship aspects of both HEP and Data Science.

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