Data Science

Data Science, Statistics

Monte Carlo Simulation for Correlation Testing: Python and MATLAB Implementations

Discover how to test the significance of correlations between datasets using Monte Carlo simulations, with step-by-step implementations in both Python and MATLAB. Learn how to leverage randomization to assess the robustness of your statistical findings.

Utpal Kumar
August 31, 2024

Data Science, Statistics

Comparative Hypothesis Testing: Implementing Randomization with Python and MATLAB

Explore hypothesis testing through randomization and bootstrapping with updated implementations in both Python and MATLAB. Understand the process and visualize results to test the null hypothesis effectively.

Utpal Kumar
August 31, 2024

Data Science

Understanding Python Iterables, Iterators, and Generators: A Comprehensive Guide to Efficient Data Processing

Explore the fundamental concepts of Python iterables, iterators, and generators in this comprehensive guide. Learn how to efficiently manage data processing, optimize memory usage, and boost performance in your Python programs through practical examples and detailed explanations.

Utpal Kumar
August 14, 2024

Data Science, Techniques

Exploring the Multi-Taper Method: A Robust Approach for Time-Frequency Analysis

Explore the Multi-Taper Method’s unique ability to refine spectral estimates in seismology. Leveraging multiple orthogonal tapers, this approach minimizes variance and mitigates spectral leakage, offering a more reliable analysis of non-stationary seismic signals.

Utpal Kumar
August 12, 2024

Blogging, Data Science, Paper Review

Integrating MEMS Accelerometers and Broadband Seismometers: Challenges and Opportunities in Modern Seismology

While MEMS accelerometers offer advantages in cost, size, and deployment flexibility compared to traditional broadband seismometers, they face limitations in recording long-period seismic waves. The future of seismic instrumentation likely lies in integrating MEMS and broadband technologies, combining the high spatial resolution of MEMS sensors with the sensitivity and bandwidth of broadband seismometers to enhance seismic monitoring capabilities across different scales and frequency ranges.

Utpal Kumar
July 4, 2024

Data Science

Mastering Large Data Processing with mpi4py in Python

Explore the power of mpi4py for simplifying data distribution in parallel computing with its efficient broadcast functionality, which seamlessly sends data from one process to all others, enabling synchronized operations across multiple processors.

Utpal Kumar
June 1, 2024

Data Science, Geophysics

How to plot great circle path through your region using PyGMT

In this article, we will learn how to visualize the great circle paths that traverse a designated region of interest using PyGMT. Understanding these paths is crucial for rigorous seismic tomography investigations, as they can provide insights into the subsurface structure below the select region of interest.

Utpal Kumar
September 11, 2023

Data Science, Techniques

Signal denoising using Fourier Analysis in Python

Fourier analysis is based on the idea that any time series can be decomposed into a sum of integral of harmonic waves of different frequencies. Hence, theoretically, we can employ a number of harmonic waves to generate any signal. The…

Utpal Kumar
April 29, 2021

Data Science, Geophysics

Wavelet Analysis Applied to Real Geophysical Datasets: A Quick and Easy Approach

Explore the application of wavelet analysis on real-world geophysical datasets, like ENSO sea surface temperature and Indian monsoon rainfall. This post provides a comparison to Fourier analysis and includes Python code for easy replication.

Utpal Kumar
April 5, 2021

Data Science, Geophysics

Genetic Algorithm: a highly robust inversion scheme for geophysical applications

An introduction to the basics of genetic algorithm along with a simple numerical example and solution of an earthquake location problem

Utpal Kumar
March 6, 2021