Automatic P/S Phase Picking with Deep Learning Using SeisBench
Load a waveform with ObsPy, run a pre-trained PhaseNet (or EQTransformer) model from SeisBench, and plot th...
Utpal Kumar, PhD
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- 141+ Posts
- 10 Topics
- Jul 2026 Updated
Caffeinate On and Off Controls for macOS with Alfred and SwiftBar
A compact macOS setup with two Alfred workflows for turning caffeinate on and off, plus SwiftBar for keepin...
Recent posts
Recent technical articles on seismic analytics, scientific computing, numerical modeling, and production data workflows.
Time-frequency analysis in matlab (codes included)
A signal has one or more frequency components in it and can be viewed from two different standpoints: time-domain and frequency domain. In general, signals a...
Hypothesis test for the significance of linear trend using the monte carlo simulations (codes included)
We pose a null hypothesis and enquire that given that the null hypothesis is true, how likely is the observed pattern of results? This likelihood is known as...
How to avoid common mistakes in analyzing correlations of two time-series
Most often data analyst consider correlation between two time-series as a causation effect. Two time-series are correlated that does not imply that one cause...
Estimation of the degrees of freedom for time series (codes included)
Numerical tests to understand the degrees of freedom in time series
Numerical tests for seismic resolution (codes included)
Seismic resolution and fidelity are the two important measures of the quality of the seismic record and the seismic images. Seismic resolution quantifies the...
Locating earthquakes using geiger’s method (codes included)
Simple earthquake location problem and its solution using Geiger’s method
Exploratory factor analysis (codes included)
Factor Analysis is an exploratory data analysis method used to search influential underlying factors or latent variables from a set of observed variables
Working with obspy and basemap (codes included)
This post is aimed to resolve the issues regarding the conflicts of using obspy and basemap libraries together.
Time series analysis in geophysics (codes included)
Time-series analysis is essential in most fields of science, including geophysics, economics, etc. Most of the geophysical data comes in a time-series format...
Gmt tutorial for beginners (codes included)
The Generic Mapping Tools is widely used across Earth and Planetary and other fields of studies to process data and generate high-quality illustrations. This...
Getting started with obspy: downloading waveform data (codes included)
Obspy is an open-source Python framework developed for the processing of seismological data. In this post, I will introduce how to use Obspy along with some ...
Simple wave modeling and hilbert transform in matlab (codes included)
We demonstrate how to model a simple wave, obtain its frequencies, apply Hilbert transform, and perform edge detection
Writing netcdf4 data using python (codes included)
NetCDF file format has been designed for storing multidimensional scientific data such as temperature, rainfall, humidity, etc. In this post, we will see how...
Time series analysis in python: filtering or smoothing data (codes included)
In this post, we will see how we can use Python to low-pass filter the 10 year long daily fluctuations of GPS time series. We need to use the “Scipy” package...
Time-frequency analysis in matlab (codes included)
A signal has one or more frequency components in it and can be viewed from two different standpoints: time-domain and frequency domain. In general, signals a...
Hypothesis test for the significance of linear trend using the monte carlo simulations (codes included)
We pose a null hypothesis and enquire that given that the null hypothesis is true, how likely is the observed pattern of results? This likelihood is known as...
How to avoid common mistakes in analyzing correlations of two time-series
Most often data analyst consider correlation between two time-series as a causation effect. Two time-series are correlated that does not imply that one cause...
Estimation of the degrees of freedom for time series (codes included)
Numerical tests to understand the degrees of freedom in time series
Numerical tests for seismic resolution (codes included)
Seismic resolution and fidelity are the two important measures of the quality of the seismic record and the seismic images. Seismic resolution quantifies the...
Locating earthquakes using geiger’s method (codes included)
Simple earthquake location problem and its solution using Geiger’s method
Exploratory factor analysis (codes included)
Factor Analysis is an exploratory data analysis method used to search influential underlying factors or latent variables from a set of observed variables
Working with obspy and basemap (codes included)
This post is aimed to resolve the issues regarding the conflicts of using obspy and basemap libraries together.
Time series analysis in geophysics (codes included)
Time-series analysis is essential in most fields of science, including geophysics, economics, etc. Most of the geophysical data comes in a time-series format...
Gmt tutorial for beginners (codes included)
The Generic Mapping Tools is widely used across Earth and Planetary and other fields of studies to process data and generate high-quality illustrations. This...
Getting started with obspy: downloading waveform data (codes included)
Obspy is an open-source Python framework developed for the processing of seismological data. In this post, I will introduce how to use Obspy along with some ...
Simple wave modeling and hilbert transform in matlab (codes included)
We demonstrate how to model a simple wave, obtain its frequencies, apply Hilbert transform, and perform edge detection
Writing netcdf4 data using python (codes included)
NetCDF file format has been designed for storing multidimensional scientific data such as temperature, rainfall, humidity, etc. In this post, we will see how...
Time series analysis in python: filtering or smoothing data (codes included)
In this post, we will see how we can use Python to low-pass filter the 10 year long daily fluctuations of GPS time series. We need to use the “Scipy” package...