FLaapLUC version 2.0.1

• Updated the input catalog from 4FGL-DR2 to 4FGL-DR3.
• Updated IRFs from P8R3_V2 to P8R3_V3.
• Added an environment file to ease deployment with conda.
• Updated the installation and usage notes.

FLaapLUC version 2.0.0

Now supporting python 3, at last!
This also comes with a dependency to fermitools 2.* instead of fermitools 1.*.

FLaapLUC version 1.2.4

Last release before migration to python 3.

FLaapLUC version 1.2.3

This release includes the following developments:

• From 3FGL to 4FGL
• From P8R2 to P8R3 IRFs
• Important: modified flux criterion on quadratic sum on long-term flux RMS and last flux error
• Add ToO flag to force alert in case of ongoing ToO campaign
• Add source visibility plot
• Reformatted logging messages
• Add a stopping year/month argument, in order to process old data
• Add an optional cut on the lowest acceptable exposure
• Can now search for 2FGL, 3FGL, 2FHL or 4FGL counter-parts

FLaapLUC version 1.2.2

Most high energy sources detected with Fermi-LAT are blazars, which are highly variable sources. High cadence long-term monitoring simultaneously at different wavelengths being prohibitive, the study of their transient activities can help shed light on our understanding of these objects. The early detection of such potentially fast transient events is the key for triggering follow-up observations at other wavelengths. FLaapLUC (Fermi-LAT automatic aperture photometry Light C↔Urve) uses the simple aperture photometry approach to effectively detect relative flux variations in a set of predefined sources and alert potential users. Such alerts can then be used to trigger observations of these sources with other facilities. The FLaapLUC pipeline is built on top of the Science Tools provided by the Fermi-LAT collaboration and quickly generates short- or long-term Fermi-LAT light curves.

This release:

• Fixes a bug in parsing the list of sources.
• Fixes the call to flaapluc-allsources.

FLaapLUC version 1.2.1

• Reformatted code.
• Use logging module instead of printing information.

FLaapLUC version 1.2

• Improved source visibility computation
• Drastically reduced the number of package dependencies by using astropy
• Published in anaconda: https://anaconda.org/jlenain/flaapluc/1.2/download/linux-64/flaapluc-1.2-py35h393f3c5_0.tar.bz2

FLaapLUC version 1.1

Re-organised the code such that it is easily installable as a python package using setuptools.

FLaapLUC version 1.0

This version 1.0 of FLaapLUC is production ready.