[{"id":1133,"title":" A package to read SPARC data to extract Galactic Rotation Curves","sha":"71d1533579769a11cae153150ce6f3ea","user_id":null,"state":"published","body":"Galaxy rotation curves are a class of plots which have velocity of the galactic objects on the y-axis and the x-axis represents their radial distances from the galactic center. The experimental data indicates flatness of the curve which is inconsistent with theoretical predictions. This inconsistency has found its explanation with the hypothesis that there is presence of Dark Matter halos. However, there also exists a set of alternative theories such as the Modified Newtonian Dynamics (MOND) which take a different approach to explanation viz. by modifying the Newtonian laws when the acceleration is less than a minimum threshold. The aforementioned models have parameters, some of which can be extracted from observation or other indirect techniques, while few of them are free parameters. Using these free parameters as an input to statistical fitting package, one can fit data with models. While this procedure is well-defined, it may still be inaccessible to undergraduates owing to the use of advanced fitting packages and different data formats. To streamline this procedure of reading astronomical SPARC data in a simple way as well as fitting (new) models with data we present the pygrc package [Link](https://github.com/amanmdesai/pygrc). The package comes with an example notebook showcasing a use case.","created_at":"2023-06-21T06:02:29.735Z","updated_at":"2023-06-29T06:00:09.360Z","zenodo_id":8092602,"doi":"https://doi.org/10.5281/zenodo.8092602","subject":null,"tags":["galactic rotation curves;  modified newtonian dynamics"],"vote_count":0,"view_count":1,"score":0.1,"deleted":false,"muted":false,"tweeted":false,"attachment_file_name":null,"attachment_content_type":null,"attachment_file_size":null,"attachment_updated_at":null},{"id":1147,"title":"CompScat: Python package for Compton Scattering simulation for educational purposes","sha":"d923d6ecd55209cc8bf28a03f08d3b5c","user_id":null,"state":"published","body":"Compton scattering is the process in which an incident photon scatters with a stationary electron. Owing to its simplicity, Compton Scattering remains one of the processes introduced to High school students as well as to early undergraduates. Particle Physics textbooks also use this process as a means to explain the underlying calculations in Quantum Electrodynamics. We introduce a python software, called CompScat which can evaluate cross-section of $\\gamma e^{-} \\rightarrow \\gamma e^-$ processes (with electron at rest) as well as simulate the process. The main idea behind the development of this tool is to enable the High Energy Physics (HEP) analysis of this process in a popular data format (csv, root). The results of this tool have been compared and tested against that of Madgraph5amc_NLO, which is a professional Monte Carlo event generator used by the HEP community. The package comes with example notebooks which can be found at this [LINK](https://github.com/amanmdesai/compscat/tree/master/notebooks). The package also comes along with plotting tools to facilitate the visualization of kinematic distributions of the final state photon and electron. Some exercises are provided. The package is available for installation via the terminal command: ```pip install compscat```.","created_at":"2023-08-09T08:41:09.491Z","updated_at":"2023-08-18T06:00:17.949Z","zenodo_id":8260067,"doi":"https://doi.org/10.5281/zenodo.8260067","subject":null,"tags":["high energy physics education"],"vote_count":0,"view_count":1,"score":0.1,"deleted":false,"muted":false,"tweeted":false,"attachment_file_name":null,"attachment_content_type":null,"attachment_file_size":null,"attachment_updated_at":null}]