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Python pipeline for emission line bubble analysis
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nnarenraju/bubbleimg
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# readme.txt sdssdisp is created by Ai-Lei Sun in August 2015 to do broadband image operations on SDSS spec/photo objects. The main purpose is to study the emission line region properties of luminous Type 2 AGN. Example Usage: To make SDSS/data/magellan/ and the contents therein: > python main_magellan.py To make SDSS/data/mullaney/ and the contents therein: > python main_mullaney.py To make SDSS/data/SDSS/SDSSJ1356+1026/ and the contents therein: > python main_1356.py File descriptions: main scripts: main.py (under construction) main_1356.py main_magellan.py main_mullaney.py class definition: class_obsobj.py Class of SDSS Object identified by ra, dec functions: alignstamp.py make aligned stamp multi-band images of an SDSS object imagedisp_util.py A collection of functions for image displays, e.g. objw_HumVIgriimages() that makes .pgn color images. subtractimg.py To produce continuum subtracted broadband images and [OIII] intensity maps. It uses fromspec functions to determine the raito. fromspec.py Download and store SDSS spectrum of objects, calculate the continuum flux level at different bands, and return the ratio of continuum flux level between band1 and band2. measurenebula.py measure the nebula properties, like size, area, luminosities from SDSS images, and store them in the measure....txt file under each batch directory. run_batch.py do all the above image operations and measurements on a batch of SDSS objects. special operation: magellan_getslit.py put artificial slits on the SDSS images that represent Magellan observations, extract broad- band-constructed line intensities along those slits, and compare with the Magellan observations.
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Python pipeline for emission line bubble analysis
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