lightcurve (module) ∞

Generate the force-photometry lightcurves for ATLAS sources found in the marshall database

Author: David Young

Classes

`conversions`(log[, settings])	The worker class for the conversions module
`database`(log[, dbSettings, autocommit])	a database object that can setup up a ssh tunnel (optional) and a database connection
`datetime`(year, month, day[, hour[, minute[, …)	The year, month and day arguments are required.
`itemgetter`	itemgetter(item, …) –> itemgetter object
`str`([object])	str(bytes_or_buffer[, encoding[, errors]]) -> str
`tools`(arguments, docString[, logLevel, …])	common setup methods & attributes of the main function in cl-util
`zip`	zip(*iterables) –> zip object

Functions

`fmultiprocess`(log, function, inputArray[, …])	multiprocess pool
`generate_atlas_lightcurves`(dbConn, log, settings)	generate all atlas FP lightcurves (clipped and stacked)
`get_twin`(ax, axis)
`get_twin_axis`(ax, axis)
`old_div`(a, b)	Equivalent to `a / b` on Python 2 without `from __future__ import division`.
`plot_single_result`(transientBucketId, log, …)	plot single result
`readquery`(sqlQuery, dbConn, log[, quiet])	Given a mysql query, read the data from the database and return the results as a list of dictionaries (database rows)
`rolling_window_sigma_clip`(log, array, …)	given a sorted list of values, median sigma-clip values based on a window of values either side of each value (rolling window) and return the array mask
`sigma_clip_data`(log, fpData[, clippingSigma])	clean up rouge data from the files by performing some basic clipping
`stack_photometry`(log, magnitudes[, binningDays])	stack the photometry for the given temporal range
`writequery`(log, sqlQuery, dbConn[, Force, …])	Execute a MySQL write command given a sql query

Sub-modules

`conversions`(log[, settings])	The worker class for the conversions module
`database`(log[, dbSettings, autocommit])	a database object that can setup up a ssh tunnel (optional) and a database connection
`dates`	AVOID INSTALLING THESE C-DEPENDENT PACKAGES
`datetime`(year, month, day[, hour[, minute[, …)	The year, month and day arguments are required.
`division`
`fmultiprocess`(log, function, inputArray[, …])	multiprocess pool
`generate_atlas_lightcurves`(dbConn, log, settings)	generate all atlas FP lightcurves (clipped and stacked)
`get_twin`(ax, axis)
`get_twin_axis`(ax, axis)
`itemgetter`	itemgetter(item, …) –> itemgetter object
`math`	This module provides access to the mathematical functions defined by the C standard.
`mpl`	AVOID INSTALLING THESE C-DEPENDENT PACKAGES
`mtick`	AVOID INSTALLING THESE C-DEPENDENT PACKAGES
`np`	AVOID INSTALLING THESE C-DEPENDENT PACKAGES
`old_div`(a, b)	Equivalent to `a / b` on Python 2 without `from __future__ import division`.
`os`	OS routines for NT or Posix depending on what system we’re on.
`plot_single_result`(transientBucketId, log, …)	plot single result
`plt`	AVOID INSTALLING THESE C-DEPENDENT PACKAGES
`print_function`
`readquery`(sqlQuery, dbConn, log[, quiet])	Given a mysql query, read the data from the database and return the results as a list of dictionaries (database rows)
`rolling_window_sigma_clip`(log, array, …)	given a sorted list of values, median sigma-clip values based on a window of values either side of each value (rolling window) and return the array mask
`sigma_clip_data`(log, fpData[, clippingSigma])	clean up rouge data from the files by performing some basic clipping
`stack_photometry`(log, magnitudes[, binningDays])	stack the photometry for the given temporal range
`str`([object])	str(bytes_or_buffer[, encoding[, errors]]) -> str
`sys`	This module provides access to some objects used or maintained by the interpreter and to functions that interact strongly with the interpreter.
`tools`(arguments, docString[, logLevel, …])	common setup methods & attributes of the main function in cl-util
`warnings`	Python part of the warnings subsystem.
`writequery`(log, sqlQuery, dbConn[, Force, …])	Execute a MySQL write command given a sql query
`zip`	zip(*iterables) –> zip object

generate_atlas_lightcurves(dbConn, log, settings)[source] ∞

generate all atlas FP lightcurves (clipped and stacked)

Key Arguments

dbConn – mysql database connection
log – logger
settings – settings for the marshall.

from marshallEngine.feeders.atlas.lightcurve import generate_atlas_lightcurves
generate_atlas_lightcurves(
    log=log,
    dbConn=dbConn,
    settings=settings
)

get_twin(ax, axis)[source] ∞

get_twin_axis(ax, axis)[source] ∞

plot_single_result(transientBucketId, log, fig, converter, ax, settings)[source] ∞

plot single result

Key Arguments:

- `transientBucketId` -- thr transient ID for the source in the database
- `log` -- logger
- `fig` -- the matplotlib figure to use for the plot
- `converter` -- converter to switch mjd to ut-date
- `ax` -- plot axis
- `settings` -- dictionary of settings (from yaml settings file)

Return:

- `filePath` -- path to the output PNG plot

sigma_clip_data(log, fpData, clippingSigma=2.2)[source] ∞

clean up rouge data from the files by performing some basic clipping

Key Arguments:

fpData – data dictionary of force photometry
clippingSigma – the level at which to clip flux data

Return:

epochs – sigma clipped and cleaned epoch data

stack_photometry(log, magnitudes, binningDays=1.0)[source] ∞

stack the photometry for the given temporal range

Key Arguments:

- `magnitudes` -- dictionary of photometry divided into filter sets
- `binningDays` -- the binning to use (in days)

Return:

- `summedMagnitudes` -- the stacked photometry