Sammarth Kumar
Hello there! I am Sammarth Kumar! Welcome to my personal website where I showcase my interests and projects.
I work with Python and Frontend development, especially for scientific research. This website was a fun project to build (especially this intro) and also a bucket list item.
So without further ado, Let's go to the website! Hope you enjoy it :)
*sips*
I discovered dramatic changes in brightness accompanied by flaring activity in an ultraluminous X-ray source located in the M101 galaxy. Upon forming an international collaboration, it was discovered that the X-ray source also showed unusual flickering on a short time scale known as quasi periodic oscillations. In this paper I have co-authored, we explore our findings and discuss the possibilities of what this X-ray source could be.
chandralc is a Python package for analyzing and processing Chandra X-ray Observatory
(CXO) lightcurves and includes several functions and modules to download, plot and analyze
data. It also contains algorithms to predict the occurrence of certain states of a source such
as flares and
eclipses. It is also equipped with automation tools to analyze large
datasets, categorize them and display their plots and analysis in the form of an interactive
web app.
Finalist at the ISEF National Fair (IRIS India) for my work on "A Novel Method to Detect
Extragalactic Planets". Studied 10,000+ X-ray sources in 19 Galaxies in search of X-ray transits
and eclipses. Developed chandralc and an efficient algorithm to automatically
detect
transits and eclipses in X-ray lightcurves from the Chandra X-ray Observatory. I made two
orignal discoveries: an eclipse and a transit.
galaXy is a Python based software that automates the processing of Chandra X-ray Observatory lightcurves. It automatically analyzes thousands of files and provides statistical data and plots in the form of an interactive web app.
An Exoplanet Simulator Developed for the URJA Science Fair. As part of the fair, I developed an algorithm to detect periodic behavior in the timeseries graph of a stars brightness and thereby detect planets. Using a physical simulation built with Arduino, I successfully tested the algorithm based on realtime data.
