Topics

Here is a list of all topics with brief descriptions:

[detail level 12]

▼Catalogue	Main function of the catalogue
hdrl_apclust	Detect multiple objects from a given Plessey array
hdrl_apio	Initialize the ap structure
hdrl_apline	Detect objects on a line of data
hdrl_areals	Work out the areal profiles for an object
hdrl_background	Model and create background map
hdrl_casu	Generic functions
hdrl_classify	Do star/galaxy classification
hdrl_extend	Do aperture integration
hdrl_filter	Do bilinear median and linear filtering on background values
hdrl_moments	Do moments analysis on an object
hdrl_overlp	Deblend overlapping images
hdrl_phopt	Does multiple profile fitting to determine intensities
hdrl_polynm	Work out the median seeing
hdrl_radii	Work out the fluxes for special radii
hdrl_seeing	Work out the median seeing
hdrl_solve	Use Gauss-Jordan elimination to solve ax=b
hdrl_statistics	Compute statistics
hdrl_catalogue_table	Table for the catalogue
hdrl_terminate	Check for objects that have terminated
hdrl_utils_catalogue	Common functions
hdrl_utils_sort	Sort functions for differents data types
Barycentric correction	This module contains a function to derives the barycentric correction of an observation, i.e. the wavelength shift to apply to a spectrum to compensate for the motion of the observer with respect to the barycenter of the solar system, by using the ERFA (Essential Routines for Fundamental Astronomy) library. ERFA is a C library containing key algorithms for astronomy, and is based on the SOFA library published by the International Astronomical Union (IAU)
▼Bad Pixel Detection	This module contains functions to detect bad pixels on single images, on a stack of identical images and on a sequence of images
Bad Pixel Mask 2D Computation	Algorithms to detect bad pixels on a single image
Bad Pixel Mask 3D Computation	Algorithms to detect bad pixels on a stack of identical images like e.g. bias images
Bad Pixel Mask via fitting	Algorithms to detect bad-pixels on a sequence of images like e.g. domeflats
Bad Pixel Mask via edge detection	Algorithm to detect bad-pixels and cosmic-rays hits on a single image like e.g. science frames
Bad Pixel Utilities
Object catalogue	This module provides algorithms to build an objects catalogue. Depending on the value of the control parameter "resulttype", additional products may be generated: a full catalogue, the background map, the segmentation map
Collapse Parameters
DAR (Differential Atmospheric Refraction)
Download from the Internet.	This module contains functions to download information from the internet. It is based on libcurl (the multiprotocol file transfer library), a free and easy-to-use client-side URL transfer library. For detailed informations see https://curl.se/libcurl
Fitting
Master Flatfield	This module provides algorithms to compute a master flatfield. Several methods are available to deal with different flatfield characteristics
Fixed pattern noise detection	Algorithms to compute fixed pattern noise on a single image
Fringing	This module contains functions to derive and subtract a master-fringe image
Image object
Imagelist object
Iterator
Limiting Magnitude Module	This module contains a function to compute the limiting magnitude of an image. Several methods are available to deal with different data points distributions
Overscan Computation and Correction	This module contains functionality to compute and correct the overscan level of CCD image
Parameter object
Mitigate IR Persistence	This algorithm generates a map of the persistence present in an infra- red detector due to charge trapped in the depletion regions of each pixel left over from previous exposures. Excess flux from this source may then be corrected for by subtracting off the persistence map
Prototyping object (derived from MIME project)
▼Resample 2D/3D images/cubes	Algorithms to resample 2D images and 3D cubes onto a common grid based on the MUSE code
HDRL parameter - interpolation method	HDRL parameter controlling the interpolation method
HDRL parameter - output grid	Hdrl parameter defining the final output grid
Spectrum 1D	This module defines the hdrl_spectrum1D data structure, provides basic functionalities for it (constructors, destructor, operators)
Strehl Computation	Function to compute the Strehl ratio on an image
General Utility Functions
Testing of the HDRL bpm_2d
Testing of the HDRL bpm_3d
Testing of the HDRL bpm_fit
Testing of the HDRL bpm_utils
<br>
Testing of the HDRL catalogue
Testing of the HDRL reduce module
Testing of the HDRL combine module
Testing of the HDRL correlation module
Testing of the HDRL DAR
Testing of the HDRL DER_SNR noise estimator
Testing of the HDRL efficiency module
Testing of the HDRL variance module
Testing of the HDRL fit module
input parameter robustness on flat functionality
Testing cpl_fft function for pattern noise with iraf->powerspec() output
Testing of the HDRL frame iterator
Testing of the Fringe module
<br>
<br>
Testing of functions working on hdrl_imagelist
<br>
Testing of the HDRL cosmic ray rejection
Testing of the HDRL limiting magnitude module
Testing of the HDRL mode module
Testing of the HDRL Overscan module
Testing of the HDRL parameter
Testing of the HDRL prototyping
<br>
Testing of the HDRL response module
Testing of the HDRL Sigma Clipping module
Testing of the HDRL MINMAX Clipping module
test, the xcorrelation methods are already
Testing of the HDRL Strehl module
Testing of the HDRL utility module
Hdrl_correlation
Hdrl_efficiency
Hdrl_frameiter
Hdrl_multiiter
Hdrl_response