Hello there! I'm
Aditya Ramdasi
Physics | Philosophy | Percussion
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My Academic CV
My Academic CV
Physics Projects
(Currently) I'm interested in writing code to solve problems in physics and astronomy. Includes modelling physical systems to predict observations, finding numerical solutions to analytically inaccessible systems, analyzing all kinds of data, and more.
Monte Carlo Simulations of a Lennard-Jones system
Monsoon 2023 | Ashoka University
Modelling systems with inter-particle interaction on Python
Metropolis algorithm, Radial Distribution Function (RDF)
Phases, van der Waals constants, Equation of State
Statistical Mechanics Course Project -
Performed Monte Carlo simulations to model and study the thermodynamics of a 2D interacting system of particles (Lennard-Jones potential). Computed RDF to observe and distinguish system's phases and study the dependence of internal energy, pressure & chemical potential (using Widom insertion) on system's density & temperature. Reproduced ideal gas results as a check for legitimacy of results. Obtained values of van der Waals constants 𝑎,𝑏 (with bounds) and proposed an Equation of State for the system.
My first computationally heavy project. Project report & code below
View Details
Supervisors - Prof. Bikram Phookun, Philip Cherian
Probing ICME effects on space weather using neutron monitors
Summer 2023 | IISER, Pune
Space Weather and Cosmic Ray flux
ICME propagation and Forbush Decreases (FDs)
Data Analysis (Time Series)
Worked with Prof. Prasad Subramanian (Department of Physics, IISER-Pune) on analyzing timeseries data from 13 chosen neutron monitor (NM) stations to define, find and categorize Forbush Decreases associated with 11+ filtered ICME events.
Also found statistical correlations between decrease magnitudes and ICME properties like mean solar wind velocity, change in mean magnetic field, proton flux, etc.
Set up a ready-to-use data-analysis pipeline which takes time-series NM data, smooths and filters it, generates FD magnitudes and outputs correlation coefficients and corresponding plots.
View Details
Supervisor - Prof. Prasad Subramanian
Capillary wave velocity in changing fluid densities
Spring 2023 | Ashoka University
Fluid Mechanics and Optics (Lasers)
Experimental design and setup
Data collection and analysis
Conducted a self-designed experimental project to find an empirical relation (power law) between wave velocity and fluid density. Vibrated a shallow film of (salt)water, analyzed laser diffraction patterns to extract data, wrote a report and presented the project to a panel as part of the laboratory final exam. (Scored the highest amongst all physics majors in my batch)
View Project Report [PDF]
View Presentation [PPT]
Supervisor - Prof. Susmita Saha
Brownian Motion
Summer 2022 | Ashoka University
Numerical Integration Methods
Solutions to first order O.D.Es
Optimizing code & writing project reports
Numerically solved first order O.D.Es in Python to computationally model the Brownian motion of a single atmospheric particle. Wrote code to verify Einstein's (1905) proposed relation between mean squared displacement, diffusivity and time.
View Details
Supervisor(s) - Philip Cherian, Prof. Bikram Phookun
Supervisor - Prof. Susmita Saha
Supervisors - Philip Cherian, Prof. Bikram Phookun
Agent of Chaos (N-Body Problem)
Spring 2022 | Ashoka University
Numerical Integration (Leapfrog)
VPython animations
N-body simulations
Wrote code to solve N-body equations and animate our planetary system using leapfrog integration and VPython. Introduced and observed the effects of 9 different kinds of controlled disruptions on the system's stability. Was my first computational project.
View Details
(A sample disruption case from the project)
Supervisor - Prof. Vikram Vyas
(A sample disruption case from the project)
Supervisor - Vikram Vyas
Supervisor - Prof. Vikram Vyas
Physics Projects
(Currently) I'm interested in writing code to solve problems in physics and astronomy. Includes modelling physical systems to predict observations, finding numerical solutions to analytically inaccessible systems, analyzing all kinds of data, and more.
Monte Carlo Simulations of a Lennard-Jones system
Monsoon 2023 | Ashoka University
Modelling systems with inter-particle interaction on Python
Metropolis algorithm, Radial Distribution Function (RDF)
Phases, van der Waals constants, Equation of State
Statistical Mechanics Course Project -
Performed Monte Carlo simulations to model and study the thermodynamics of a 2D interacting system of particles (Lennard-Jones potential). Computed RDF to observe and distinguish system's phases and study the dependence of internal energy, pressure & chemical potential (using Widom insertion) on system's density & temperature. Reproduced ideal gas results as a check for legitimacy of results. Obtained values of van der Waals constants 𝑎,𝑏 (with bounds) and proposed an Equation of State for the system.
My first computationally heavy project. Project report & code below
View Details
Supervisors - Prof. Bikram Phookun, Philip Cherian
Probing ICME effects on space weather using neutron monitors
Summer 2023 | IISER, Pune
Space Weather and Cosmic Ray flux
ICME propagation and Forbush Decreases (FDs)
Data Analysis (Time Series)
Worked with Prof. Prasad Subramanian (Department of Physics, IISER-Pune) on analyzing timeseries data from 13 chosen neutron monitor (NM) stations to define, find and categorize Forbush Decreases associated with 11+ filtered ICME events.
Also found statistical correlations between decrease magnitudes and ICME properties like mean solar wind velocity, change in mean magnetic field, proton flux, etc.
Set up a ready-to-use data-analysis pipeline which takes time-series NM data, smooths and filters it, generates FD magnitudes and outputs correlation coefficients and corresponding plots.
View Details
Supervisor - Prof. Prasad Subramanian
Capillary wave velocity in changing fluid densities
Spring 2023 | Ashoka University
Fluid Mechanics and Optics (Lasers)
Experimental design and setup
Data collection and analysis
Conducted a self-designed experimental project to find an empirical relation (power law) between wave velocity and fluid density. Vibrated a shallow film of (salt)water, analyzed laser diffraction patterns to extract data, wrote a report and presented the project to a panel as part of the laboratory final exam. (Scored the highest amongst all physics majors in my batch)
View Project Report [PDF]
View Presentation [PPT]
Supervisor - Prof. Susmita Saha
Brownian Motion
Summer 2022 | Ashoka University
Numerical Integration Methods
Solutions to first order O.D.Es
Optimizing code & writing project reports
Numerically solved first order O.D.Es in Python to computationally model the Brownian motion of a single atmospheric particle. Wrote code to verify Einstein's (1905) proposed relation between mean squared displacement, diffusivity and time.
View Details
Supervisors - Philip Cherian, Prof. Bikram Phookun
Supervisor - Prof. Susmita Saha
Supervisors - Philip Cherian, Prof. Bikram Phookun
Agent of Chaos (N-Body Problem)
Spring 2022 | Ashoka University
Numerical Integration (Leapfrog)
VPython animations
N-body simulations
Wrote code to solve N-body equations and animate our planetary system using leapfrog integration and VPython. Introduced and observed the effects of 9 different kinds of controlled disruptions on the system's stability. Was my first computational project.
View Details
(A sample disruption case from the project)
Supervisors - Philip Cherian,
Prof.Bikram Phookun
Supervisors - Philip Cherian,
Prof.Bikram Phookun
Supervisor - Vikram Vyas
Supervisor - Prof. Vikram Vyas
Physics Projects
(Currently) I'm interested in writing code to solve problems in physics and astronomy. Includes modelling physical systems to predict observations, finding numerical solutions to analytically inaccessible systems, analyzing all kinds of data, and more.
Monte Carlo Simulations of a Lennard-Jones system
Monsoon 2023 | Ashoka University
Modelling systems with inter-particle interaction on Python
Metropolis algorithm, Radial Distribution Function (RDF)
Phases, van der Waals constants, Equation of State
Statistical Mechanics Course Project -
Performed Monte Carlo simulations to model and study the thermodynamics of a 2D interacting system of particles (Lennard-Jones potential). Computed RDF to observe and distinguish system's phases and study the dependence of internal energy, pressure & chemical potential (using Widom insertion) on system's density & temperature. Reproduced ideal gas results as a check for legitimacy of results. Obtained values of van der Waals constants 𝑎,𝑏 (with bounds) and proposed an Equation of State for the system.
My first computationally heavy project. Project report & code below
View Details
Supervisors - Prof. Bikram Phookun, Philip Cherian
Probing ICME effects on space weather using neutron monitors
Summer 2023 | IISER, Pune
Space Weather and Cosmic Ray flux
ICME propagation and Forbush Decreases (FDs)
Data Analysis (Time Series)
Worked with Prof. Prasad Subramanian (Department of Physics, IISER-Pune) on analyzing timeseries data from 13 chosen neutron monitor (NM) stations to define, find and categorize Forbush Decreases associated with 11+ filtered ICME events.
Also found statistical correlations between decrease magnitudes and ICME properties like mean solar wind velocity, change in mean magnetic field, proton flux, etc.
Set up a ready-to-use data-analysis pipeline which takes time-series NM data, smooths and filters it, generates FD magnitudes and outputs correlation coefficients and corresponding plots.
View Details
Supervisor - Prof. Prasad Subramanian
Capillary wave velocity in changing fluid densities
Spring 2023 | Ashoka University
Fluid Mechanics and Optics (Lasers)
Experimental design and setup
Data collection and analysis
Conducted a self-designed experimental project to find an empirical relation (power law) between wave velocity and fluid density. Vibrated a shallow film of (salt)water, analyzed laser diffraction patterns to extract data, wrote a report and presented the project to a panel as part of the laboratory final exam. (Scored the highest amongst all physics majors in my batch)
View Project Report [PDF]
View Presentation [PPT]
Supervisor - Prof. Susmita Saha
Brownian Motion
Summer 2022 | Ashoka University
Numerical Integration Methods
Solutions to first order O.D.Es
Optimizing code & writing project reports
Numerically solved first order O.D.Es in Python to computationally model the Brownian motion of a single atmospheric particle. Wrote code to verify Einstein's (1905) proposed relation between mean squared displacement, diffusivity and time.
View Details
Supervisor(s) - Philip Cherian, Prof. Bikram Phookun
Supervisor - Prof. Susmita Saha
Supervisors - Philip Cherian, Prof. Bikram Phookun
Agent of Chaos
(N-Body Problem)
Spring 2022 | Ashoka University
Numerical Integration (Leapfrog)
VPython animations
N-body simulations
Wrote code to solve N-body equations and animate our planetary system using leapfrog integration and VPython. Introduced and observed the effects of 9 different kinds of controlled disruptions on the system's stability. Was my first computational project.
View Details
(A sample disruption case from the project)
Supervisor - Prof. Vikram Vyas
(A sample disruption case from the project)
Supervisor - Vikram Vyas
Supervisor - Prof. Vikram Vyas