Machine Learning for Particle and Astroparticle Physics (ML4HEP) – 2024

  • ORGANIZERS

    Aruna Kumar Nayak, Debottam Das, Kirtiman Ghosh, Manimala Mitra, Sanjib Kumar Agarwalla

    DATE

    01 - 13 Jul 2024

    VENUE

    Institute of Physics, Sachivalaya Marg, Sainik School, Bhubaneswar-751005

Today, Artificial Intelligence and Machine Learning techniques have wide applications. The application of machine learning techniques is gaining momentum in the research field of high energy physics (HEP) and astroparticle physics. The experiments at large hadron collider (LHC) as well as several other collider-based and astroparticle experiments are accumulating large amounts of data for the precision measurement of parameters of the Standard Model of particle physics and to search for existence of beyond Standard Model physics at higher energy scale for which there are compelling theoretical and experimental reasons. In the future, the high luminosity LHC is expected to deliver ten times more data than what is available till date. Already, remarkable progress has been achieved in the application of machine learning in HEP, in terms of developing event classification, object identification, and estimation strategies. ML methods are expected to be heavily employed in future data analysis.

The primary objective of this school-cum-workshop is development of human resources and capacity building in frameworks related to deep machine learning and artificial intelligence for high energy and astroparticle physics. The programme consists of two parts: a preschool (online) to prepare the students and an in-person school-cum-workshop. The programme will begin with a set of pedagogical lectures, tutorials and hands-on coding sessions to train the introductory group of participants (mostly students and post-docs). The second part will be a working-group style workshop, with well-spaced brainstorming sessions seeding possible collaborative activities.

We invite applications from interested students and post-docs in the area of high energy physics and astroparticle physics. The senior (faculty) participants for the workshop will be on invitation only.

The previous workshop in this series was held at ICTS, Bengaluru : ML4HEP

Topics (Tentative):

Pre-school (online from – 10 to 22 June 2024) :

  • Python, RooFit and PyRoot
  • Basics of Neural Network, Deep Learning, Convolutional Neural Network (CNN)
  • Hands-on tutorial with Keras/Tensorflow and PyTorch

Main school (IOP campus – 1 to 13 July 2024) :

  • Statistical methods for particle physics: Basics of statistics, error propagation, density functions, point estimation, chi-square and likelihood method, interval estimation, hypothesis testing, goodness of fit
  • Hands-on tutorial using ROOT
  • ML: Sequential models (RNN, LSTM, GRU), Autoencoders, Variational Autoencoders (VAE), Generative Adversarial Networks (GANs), Graph neural networks (GNNs), transformers etc. with applications in HEP
  • Differential programming
  • Hands-on tutorials using Keras (Tensorflow) and PyTorch
  • Deploying NN onto an FPGA
Read More
Preschool Schedule (10 – 22 June, 2024)
DateTopic (Time 11:00 - 12:30)SpeakerTopic (Time 16:00 - 17:30)Speaker
10/06Python
Attachments 
S. SarkarPython
Attachments 
S. Sarkar
11/06 Python
Attachments 
S. SarkarPython
Attachments 
S. Sarkar
12/06Python
Attachments 
S. SarkarPython
Attachments 
S. Sarkar
13/06Statistics
Attachments 
A. NayakPyROOT / uproot
Attachments 
A. Purohit
14/06Statistics
Attachments 
A. NayakPyROOT / uproot
Attachments 
A. Purohit
15/06Statistics
Attachments 
A. NayakPyROOT / uproot
Attachments 
A. Purohit
16/06Sunday---
17/06Basics of ML / Deep Learning
Attachments 
SwagataTensorFlow/ Keras (Help in installation etc..)
Attachments 
Vishal / Deepanshu
18/06CNN
Attachments 
Partha / SwagataTensorFlow/ Keras (Tutorial DNN?)
Attachments 

Vishal
19/06CNN
Attachments 
Partha / SwagataCNN Tutorial
Attachments 
Ritesh
20/06--ANN / CNN Tutorial (Extended Session)
Attachments 
Partha / Deepanshu
21/06--PyTorch (Extended Session)
Attachments 
Sanmay
Main School / Workshop (01 – 13 July)
09:30 - 11:0011:30 - 13:0014:30 - 16:0016:30 - 18:0018:15 - 19:30
DateTopic / SpeakerTopic / SpeakerTopic / SpeakerTopic / SpeakerColloquium / Seminar SpeakerAttachments

01/07
Inauguration by the Director ( 09:30 - 10:00 )
Statistics.
Satyaki / Shilpi		Statistics Tutorial.
Satyaki / Shilpi		Inductive Biases.
Vishal		Inductive Biases.
Vishal		-Day-01 
02/07Statistics.
Satyaki / Shilpi		Statistics Tutorial.
Satyaki / Shilpi		GNN.
Sanmay		GNN.
Sanmay		-Day-02 
Sanmay 
03/07Statistics.
Satyaki / Shilpi		Statistics Tutorial.
Satyaki / Shilpi/ Anil		GNN.
Sanmay		GNN.
Sanmay		-Day-03 
Sanmay 
04/07Generative models.
Swagata		Generative models.
Swagata		GNN / Transformer.
Sanmay		GNN / Transformer.
Sanmay		-Day-04 
Sanmay 
05/07Generative models.
Swagata		Sequence models.
Swagata		Heterograph / Hypergraph.
Sanmay		Heterograph / Hypergraph.
Sanmay		-Day-05 
Sanmay 
06/07Sequence models.
Swagata		Sequence models.
Swagata		Normalising Flow.
Vishal Ngairangbam		Quantum Machine learning.
Vishal Ngairangbam		-Day-06 
07/07Sunday-----
08/07Unsupervised Learning using Maps.
Amit		Unsupervised Learning using Maps.
Amit		SVM.
Rajdeep		SVM.
Rajdeep		-Day-07 
Rajdeep 
09/07Anomaly Detection.
Tanmay		Anomaly Detection.
Tanmay		SVM Tutorial Rajdeep (can be condensed with the first two lectures if we want room for Quantum)TBD-Day-08 
10/07Moon Moon DeviWorkshopOpen MPI.
R.Thiru Senthil		Open MPI.
R.Thiru Senthil		-Day-09 
Rajdeep 
11/07WorkshopWorkshopWorkshopWorkshop-Day-10 
12/07WorkshopWorkshopOpen MPI.
R.Thiru Senthil		Open MPI.
R.Thiru Senthil		-Day-11 
13/07WorkshopWorkshopWorkshopWorkshop-Day-12 

Possible Topics and Speakers:

  • Statistics : Satyaki Bhattacharya, Shilpi Jain, A Nayak
  • Sequence models, Generative models: Swagata Mukherjee
  • Anomaly detection: Tanmay Modak
  • GNN and Transformers: Sanmay Ganguly
  • Interplay between inductive biases and high energy physics: Vishal Ngairangbam
  • SVM, Quantum ML(TBD), HGCAL beam test analysis for the workshop?, …. : Rajdeep Chatterjee
  • Unsupervised Learning using Maps: Amit Chakraborty

Subir Sarkar (SINP, Kolkata)

Satyaki Bhattacharya (SINP, Kolkata)

Partha Konar (PRL, Ahmedabad)

Ritesh Singh (IISER, Kolkata)

Sanmay Ganguly (IIT, Kanpur)

Rajdeep Chatterjee (TIFR, Mumbai)

Swagata Mukherjee (IIT, Kanpur)

Amit Chakraborty (SRM, Amaravati)

Shilpi Jain (TIFR, Mumbai)

Tanmay Modak (IISER, Berhampur)

Vishal Ngairangbam (Durham)

Arnab Purohit (CNRS, France)

Mr. Niraj Koirala (IIT, Guwahati)

Mr. Hrishikesh deka (IIT, Guwahati)

Mr. SATYAJIT ROY (Bangabasi Evening College)

Mr. Rajneil Baruah (Bennett University)

Mr. Sahil Dhiman (HRI, Prayagraj)

Mr. Indra Kumar Banerjee (IISER, Berhampur)

Mr. Neetesh Mudgal (IISER, Mohali)

Mr. Kumar Tanay (IISER, Pune)

Mr. Chetan Agrawal (IISER, Pune)

Mr. DEVESH PALIWAL (IISER, Thiruvananthapuram)

Mrs. Varsha Gautam (IIT, Bhubaneswar)

Mr. Samarendra Nayak (IIT, Bhubaneswar)

Mr. Pankaj Borah (IIT, Delhi)

Mr. Sahabub Jahedi (IIT, Guwahati)

Mr. Mudit Kumar (IIT, Kanpur)

Mr. SHASHANK SHARMA (IIT, Kanpur)

Mr. Arpan Hait (IIT, Kanpur)

Mr. Anuj Gupta (IIT, Kanpur)

Mr. Subrata Samanta (IIT, Kanpur)

Ms. NEHA SHARMA (IIT, Madras)

Mr. Abhay Singh Rathore (IIT, Madras)

Dr. Honey Khindri (IIT, Madras)

Mr. swadhin behera (IIT, Mumbai)

Mr. Rahul Verma (IIT, Mumbai)

Ms. Tanu Gahlaut (IIT, Mumbai)

Mr. Pratick Sarkar (Indian Association for the Cultivation of Science)

Mr. Tanmoy Kumar (Indian Association for the Cultivation of Science)

Ms. Nandini Das (Indian Association for the Cultivation of Science)

Dr. Saiyad Ashanujjaman (Institute of High Energy Physics, Beijing)

Ms. Madhura Majumder (NIT, Jamshedpur)

Mr. Hemant Kumar (NIT, Kurukshetra)

Ms. Sonia (NIT, Kurukshetra)

Mr. Deepanshu Srivastava (PRL, Ahmedabad)

Mr. Shivam Verma (RKMVERI, Belur Math, Howrah)

Mr. Dibyendu Chakraborty (Shiv Nadar Institution of Eminence, Delhi NCR)

Mr. Althaf M (SRM Institute of Science and Technology)

Ms. Shreecheta Chowdhury (SRM University-AP)

Mr. Priyankush Deka (Tezpur University, Assam)

Mr. Avik Das (TIFR, Mumbai)

Mr. Pravesh Sharma (TIFR, Mumbai)

Ms. Riya Pramanik (TIFR, Mumbai)

Dr. Suman Kumbhakar (University of Calcutta)

Mr. Vivek Kumar Singh (VECC, Kolkata)

Mr. PRAVATA PANIGRAHI (IIT, Mumbai)

Mr. Supriyo Saha (Tata Institute of Fundamental Research)

Mr. Rohit Kumar Singh (IIT, Madras)

Mr. Suman Das Gupta (Saha Institute of Nuclear Physics, Kolkata)

Mr. Vatsal Sinha

Mr. Laltu Gazi (SINP, Kolkata)

Ms. Nilakshi Das (Institute of Physics, Bhubaneswar)

Mr. R. Thiru Senthil (Institute of Physics, Bhubaneswar)

Mr. Sudipta Das (Institute of Physics, Bhubaneswar)

Mr. Subham Saha (Institute of Physics, Bhubaneswar)

Mr. Sadashiv Sahoo (Institute of Physics, Bhubaneswar)

Dr. Dibyendu Nanda (Institute of Physics, Bhubaneswar)

Mr. Debabrata Sahoo (Institute of Physics, Bhubaneswar)

Dr. Songshaptak De (Institute of Physics, Bhubaneswar)

Dr. Md Ishaque Khan (Institute of Physics, Bhubaneswar)

Mr. Arvind Bhaskar (Institute of Physics, Bhubaneswar)

Mr. Krishnamoorthi J (Institute of Physics, Bhubaneswar)

Ms. Sharmistha Chattopadhyay (Institute of Physics, Bhubaneswar)

Mr. Babulu Pradhan (Institute of Physics, Bhubaneswar)

Dr. Ramita Sarkar (Institute of Physics, Bhubaneswar)

Dr. Ashish (Institute of Physics, Bhubaneswar)

Mr. Ritam Kundu (Institute of Physics, Bhubaneswar)

Mr. Abhishek Roy (Institute of Physics, Bhubaneswar)

Mr. ANUJ KUMAR UPADHYAY (Institute of Physics, Bhubaneswar)

Dr. Kousik Naskar (Institute of Physics, Bhubaneswar)

Dr. Purusottam Ghosh (Institute of Physics, Bhubaneswar)

Mr. Subhadip Bisal (Institute of Physics, Bhubaneswar)

Dr. Abhijit Kumar Saha (Institute of Physics, Bhubaneswar)

Ms. Subhalaxmi Rout (Institute of Physics, Bhubaneswar)

Mr. Siddharth Prasad Maharathy (Institute of Physics, Bhubaneswar)

Mr. Pragyanprasu Swain (Institute of Physics, Bhubaneswar)

Mr. Rahul Puri (Institute of Physics, Bhubaneswar)

Mr. Rameswar Sahu (Institute of Physics, Bhubaneswar)

Dr. Lalit Kumar Saini (Institute of Physics, Bhubaneswar)

Mr. Kuldeep Kumar Pal (NISER, Bhubaneswar)

Mr. Manasa Ranjan Sahoo (NISER, Bhubaneswar)

Ms. Divyajyoti Pandey (NISER, Bhubaneswar)

Mr. Sandeep Pradhan (NISER, Bhubaneswar)

Mr. RAHUL KUMAR AGRAWAL (NISER, Bhubaneswar)

Dr. Tanay Dey (NISER, Bhubaneswar)

Mr. Vatsal sinna (NISER, Bhubaneswar)

Ms. Sneh Shuchi (NISER, Bhubaneswar)

Mrs. Miss Priyanka Sadangi (NISER, Bhubaneswar)

Accommadation

The accommodation for outstation students is at NABM hostel (Prasar Bharati Training Center) from 30th June to 14th July. The link to google map for NABM Hostel.

The accommodation for faculty members is at Institute of Life sciences guesthouse (ILS CAMPUS II, Neeladri Vihar, Bhubaneswar) and IOP guesthouse, from 30th June to 14th July. The link to the google map for reaching ILS Guesthouse and IOP Guesthouse.

Registration

This program is focused on application of Deep Machine Learning (DML) in High Energy Physics and the eligibility requirements for the participants include being a student or postdoc, working in theoretical or experimental particle physics or astro-particle physics. Additionally, participants should have experience with programming languages, especially Python and C++, and some knowledge of simulated event generation and data analysis frameworks such as Madgraph, Pythia, Delphes, ROOT etc.. Students having basic knowledge of machine learning tools and working on problems that can be benefited from the applications of machine learning will be preferred.

This questionnaire is an essential part of pre-registration. For planning and executing purposes, we would like to know the basic information from the participants. This meeting is planned to have three major components:

  • In an online preschool, around a month before the ml4hep, the students should learn all the basics and prerequisites for attending the School. Learning materials will be shared and guided during this phase. Final registration would be compiled based on the feedback from the preschool and this questionnaire.
  • School during the first phase of the meeting would cover different applications useful for high energy physics.
  • Workshop during the second phase consists of challenges and workouts on diverse problems of common interest provided by speakers and other participants.
  • A nominal registration fee of 4000 ₹ (for student) and 6000 ₹ (for postdoc) will be charged if the registration is accepted.

Note: The deadline for registration is 20th May, 2024.