ecpi.process.imag.core.main_imag Module

Imaging and Source detection

This component shall perform the following tasks:

• Reconstruct sky images from the ECLAIRs

uniformity-background-earth corrected detector images over the entire FOV of the ECLAIRs telescope.

Each of them shall include intensity, variance, signal to noise, exposure and source model images.

• Detect, locate and identify from a master catalog

the point sources contributing to the sky image. • Clean the coding noise of each detected source from the reconstructed sky image in order to search for weaker objects. • The set of parameters derived in this process for the detected (or searched) sources shall be given in output. Parameters shall include at least:

the identifier of the source, the name of the possible identification, the fluxes with associated errors and signal to noise in given energy bands, the position in image and celestial coordinates with associated errors, other TBD parameters.

• Detection of a new, unknown source shall generate

a clear alert message in output.

Created on 19 févr. 2019

@author: camille catalano , APC/IN2P3/CNRS

Functions

build_source_model(find_max_source, …)	simulation, deconvolution and fit of the source alone, and normalize its flux
deepcopy(x[, memo, _nil])	Deep copy operation on arbitrary Python objects.
imag(dict_data, dict_pars)	IMAG module
update_catalog_output(catalog_output, …[, …])	update the catalog of identified sources with the new found source