A Python package for CXO lightcurve analysis
Project description
chandralc: A Python Package for CXO Lightcurve Analysis
The chandralc
Python package was developed to analyze Chandra X-ray Observatory lightcurves in a matter of seconds. With algorithms and programs to automatically extract, download, plot, and analyze data, it is the perfect tool to study CXO lightcurves efficiently and accurately.
To see chandralc
in action, check out the demo.
Features:
Lightcurve Extraction
Extract lightcurves from one or more ObsIDs automatically. This feautre is not yet available publicly.
Downloads:
- Large database of over 150,000 lightcurves from 10,000+ X-ray Sources
- Downloading extracted lightcurves from 19+ galaxies.
- Search for lightcurves with J2000 coordinates
- Retrieve galaxy from lightcurve file names
Convert:
- Convert FITS lightcurves to ASCII txt files
Analysis:
Observation Details
- Total counts
- Observation time (in kiloseconds)
- Count rate (kiloseconds (
rate_ks
), seconds (rate_s
)) - Source coordinates (J2000 format)
- ObsID (Observation ID of the lightcurve)
- Galaxy (Messier or NGC)
Plots
- Cumulative Count plots over time to view net counts over time
- Lightcurves with custom binning to view data in the form of count rate per bin or net counts per bin over time.
- Power Spectral Density (PSD) to identify periodicity and their time periods/frequencies.
- Running Average Plot
State Detection
- Flares
- Eclipses
Astrophysics Database Connection
- NASA ADS
- Search for listings which include the source
- Simple usage: only one method require (
.search_ads()
)
Upcoming features:
- Integration with galaXy
- VizeR connection
Installation
- Install dependencies via the
requirements.txt
file:pip install requirements.txt
- Install the
chandralc
package via PIP:pip install chandralc
[more details coming soon]
Cite chandralc
If you use chandralc
in your research, please cite it as follows:
@MISC{chandralc,
author = {{Kumar}, Sammarth},
title = "{chandralc: Python Package for CXO Lightcurve Analysis}",
keywords = {Software, Chandra, CXO, lightcurves },
url = {https://github.com/sammarth-k/chandralc},
publisher = {\url{{https://github.com/sammarth-k/chandralc}}},
year = {2021},
month = {May},
}
Project details
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