Daily Summary of workshop on “Statistical Techniques for Data Analysis (STDA-2021) ” 22/11/2021 to 26/11/2021

Day 1

Inaugural:

Department of Physics is organizing a workshop on "Statistical Techniques for Data Analysis" (STDA-2021), from 22nd to 26th Nov 2021, sponsored by DST-SERB under the research project "Fluctuations and Correlations: A hunt to QCD critical endpoint" for head "Scientific Social Responsibilities". The first day started with the inaugural session in which Dr. Arun K Khosla, Director cum Dean NITJ, Dr. Arvinder Singh, HOD Physics, Convener of the workshop Dr. Arvind Kumar (PI of DST-SERB project), coordinators of the workshop Dr. Harleen Dahiya and Dr, Suneel Dutt, as well as other faculty members and the participants, were present. Chief guest Dr. Kajari Mazumadar, Professor, TIFR Mumbai graced the occasion with her inspiring words.

YouTube: https://youtu.be/uofKJs2ZYwg

Session 1

First talk of the workshop focused on “Introduction to concepts of probability and distribution functions” delivered by Prof. Kajari Mazumadar from TIFR Mumbai. The lecture started with the basic definitions of probability and statistics. Prof. Mazumadar discussed in detail the characteristics of probability distributions, mean and variance, quantification of uncertainty using probability, Bayesian statistics and Bayes theorem. The talk ended with examples of probability that can be determined by means of repeatable experiments.

YouTube: https://youtu.be/uofKJs2ZYwg

Session 2

The second talk for the day was the continuation of the first lecture on probability. The talk started with the discussion of random errors, measurement errors and systematic uncertainty. Different distribution functions like binomial, Poisson, Chi Square and gaussian were elaborated in detail. Prof. Mazumadar emphasized on gaussian quantile and various aspects of gaussian distribution along with central limit theorem.

YouTube: https://youtu.be/uofKJs2ZYwg

Day 2

Session 3

The first talk of day 2 was focused on “Data Reduction & Error Analysis” delivered by Dr. Raghunath Sahoo, Associate Professor from IIT Indore. The lecture was concentrated on the definition & types of error, accuracy and precision. Dr. Sahoo discussed in detail about the different types of distribution, variance & standard deviation. For better understanding he gave exquisite examples.

YouTube : https://youtu.be/Vfeu4bug_Gg

Session 4

The second talk of the day was also delivered by Dr. Raghunath Sahoo, Associate Professor from IIT Indore on “Estimation of Error & Maximum Likelihood”. This talk was the continuation of his previous lecture on “Data Reduction & Error Analysis”. The lecture was focussed on the Rounding off, Rejection of data, Propagation & Transformation of Errors. He also gave an overview about the topics like Error Ellipse, Error Matrix & Confidence Interval.

YouTube : https://youtu.be/Vfeu4bug_Gg

Day 3

Session 5

The first talk of this day was the continuation of previous talk by Dr. Raghunath Sahoo, Associate Professor from IIT Indore on “Data Reduction & Error Analysis”. He has explained in detail about the topics like Error Ellipse, Error Matrix, Confidence Interval. He gave brief but distinct insight on fitting techniques like curve fitting, least square fit, linear fit & fitted binned data with suitable examples.

YouTube: https://youtu.be/PT4f-bUawLY

Session 6

The second talk of day 3 was delivered by Dr. Aruna Kumar Nayak, Associate Professor at Institute of Physics, Bhubaneswar. The lecture was on “Hypothesis tests, Confidence intervals and limits”. Prof. explained several basic concepts required for understanding of hypothesis tests.

YouTube: https://youtu.be/PT4f-bUawLY

Day 4

Session 7

The talk was delivered by Dr. Aruna Kumar Nayak, Associate Professor at Institute of Physics, Bhubaneswar. He discussed Monte Carlo methods including generation of random numbers. Some applications of Monte Carlo methods such as approximating integrals were also discussed. The major highlights of this talk were discussion of Acceptance/Rejection Methods, Markov Chains, random walks, Metropolis Algorithm.

YouTube: https://youtu.be/SV1toki69Ek

Day 5

Session 8

The final talk of the workshop was delivered by Prof. Gagan Mohanty from TIFR, Mumbai and focused on an interesting topic titled “ How to separate red from blue balls in a box?”. The talk stressed upon multivariate analysis, identification of optimum input and output variables, fisher’s linear discriminant, neural networks, weight factor calculation, and optimization with appropriate examples.

YouTube: https://youtu.be/nIq8AVU1tVA

Story by Nisha Chahal, Shubham Sharma and Ankush