Inter IIT Tech Meet 9.0

Web Based Visualization Tool For Astrosat Observations

Table of Contents

• Overview
• Data Cleaning and Preprocessing
• Preliminary Spectral Analysis of Spectroscopic Binary HIP-61732
• Project Tree

Overview

The repository contains the relevant code and data covering two domains

• The cleaning and processing of data provided in the forms of catalogs A and B, and the publications. The source names have been resolved using SIMBAD and is accurate upto atleast 2 arcmin. Cited sources have been extracted from the publications using regular expressions, which exploit the astro nomencalture to cature the source names from the title and abstracts.
• Use of the available data from one of the thoroughly observed sources to derive meaningful results based on the type of astronomical object being observed.

1. Data Cleaning and Preprocessing

Content

Component	Description
Catalog-A	Includes script to clean catalog A along with the processed data
Catalog-B-Astrosat	Includes script to clean and crossmatch catalog B with A along with the processed data
Publications	Includes script to extract sources from publications along with the processed data
Publications_Crossmatch	Includes script to classify and crossmatch the publications with catalog A and B along with the processed data
Complete_Catalog.csv	Final processed catalog to feed to the AstroSat Visualiser
requirements.txt	Dependencies (if) required to run the scripts

Requirements

pandas==1.2.3
astropy==4.2
numpy==1.20.1
astroquery==0.4.1
beautifulsoup4==4.9.3

To install all the dependecies in one go, run

cd Data-Processing
pip install -r requirements.txt

2. Preliminary Spectral Analysis of Spectroscopic Binary HIP-61732

Content

Component	Description
analysis.py	Script to carry out the analysis of the spectroscopic binary
HIP61732-aladin.jpeg	Image of the binary as can be seen on the AstroSat Visualiser
HIP61732.csv	Data used for the analysis
Analysis_Report.pdf	Detailed report covering the analysis and the underlying physics and mathematics
plot.png	Saved image of matplotlib plot from the analysis
requirements.txt	Dependencies required to run the script

Requirements

numpy==1.20.1
lmfit==1.0.2
matplotlib==3.3.4
astropy==4.2

To install all the dependecies in one go, run

cd HIP61732-Analysis
pip install -r requirements.txt

Usage

After navigating into the HIP61732-Analysis, simply run

python analysis.py

Output:

Initial Estimate of Period from the LombScargle (days): 583.8284324893621
Semi Amplitude(km/s); K1: 9.207458315319723
Semi Amplitude(km/s); K2: 13.057301121256861
Time of Periastron passage(days); To: 118.0820701823903
Period(days); P: 595.2145156801245
Systemic Velocity(km/s); Vo: -15.77453053329902
Eccentricity; e: 0.3394044058118484
Argument of Periastron(degs); w: 64.5844448428194

Project tree

• assets
  • isro-logo.jpeg
  • plot.png
• Data-Processing
  • Catalog-A
    • Final_Catalog.py
    • Hcat.csv
    • Hcat_final.csv
    • Lcat.csv
    • Lcat_final.csv
    • Nearest_Binary.py
    • Source_Names.py
  • Catalog-B-Astrosat
    • AS_observations_cat_Sept2018.txt
    • Astrosat.csv
    • Binaries_Catalog.csv
    • Crossmatch_AB.csv
    • Crossmatch.py
    • Sources.py
  • Complete_Catalog.csv
  • Publications
    • AS_publications2019-21.txt
    • extracter.py
    • publication-finaliser.py
    • publications-list.csv
    • publications-list-final.csv
    • source2publication-mapper.py
    • source2publications.csv
  • Publications_Crossmatch
    • Complete_Catalog.csv
    • Crossmatch_AB.csv
    • Crossmatch_Publications.py
    • Publications_Updated.csv
    • Updated
    • Find_SIMBAD_Name_Publications.py
    • Publications_Updated.csv
    • Publications_With_Coordinates.csv
    • Repeated_Source_Publications.py
    • source2publications.csv
  • requirements.txt
• HIP61732-Analysis
  • analysis.py
  • HIP61732-aladin.jpeg
  • HIP61732.csv
  • plot.png
  • requirements.txt
  • Analysis_Report.pdf
• README.md