danjampro / deepscan

DeepScan is a source extraction tool designed to identify very low surface brightness features in large astronomical data.

DeepScan v0.61

DeepScan is a Python3 package designed to detect low surface brightness features in astronomical data without fragmenting extended structure. The software was originally introduced in Prole et al. (2018).

DeepScan has gone through significant changes since its first release. The most significant development has been the introduction of a de-blending algorithm, designed to overcome limitations encountered by other software.

Please see the examples to see how to use DeepScan.

The software is under continual development and any questions or feedback would be welcomed.

Basic Usage

See ~/Examples/example_basic.py. Basic usage Looks like this:

from deepscan.deepscan import DeepScan

#"data" is your data as a 2D np.array.
result = DeepScan(data) 

Installation:

$pip install deepscan

Contact:

Dan Prole ([email protected])

deepscan's Issues

Example

Dear @danjampro,

Thanks for sharing your code!!! I tried to contact you directly by e-mail, but it seems that your University's server is not working :(

I saw your pre-print in the arxiv few days ago and got very interested on using it, as I have a bunch of deep data that I'd like to find LSB stuff. I tried to run what I think that is the basic example and I saw that the wsize here

DeepScan/vignettes/ngvs_small.py

Line 31 in fc2c1a6

bg, rms = skymap.skymap(data, mask=mask, wsize=50/ps)

does not exist on the function definition here

DeepScan/deepscan/skymap.py

Lines 478 to 482 in fc2c1a6

	def skymap(data, meshsize, ps, eps=1, kappa=5,thresh=0,
	medfiltsize=3, mask=None,
	estimator_sky=np.median, estimator_rms=rms_quantile,
	lowmem=True, tol=1.03, Niters=6, Nthreads=NTHREADS,
	return_mask=False, fillfrac=0.3, verbose=False):

.

It seems that something is missing or outdated...

So I decided to write you and ask for a running example so I can test your code and even contribute with you. Can you help me with that? :-)

All the best!!