High-Level Data Reduction Library: Topics

High-Level Data Reduction Library 1.6.0 High-Level data reduction routines for ESO pipelines

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Topics
Here is a list of all topics with brief descriptions:
[detail level 1 2]

▼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 |
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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 |
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Testing of functions working on hdrl_imagelist |
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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 |
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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 |