pixel covers the same surface area as every other pixel. It is commonly used to store all-sky astronomical images, most famously maps of the cosmic microwave background.

This package provides a Python3 wrapper around the C++ implementation of HEALPix.
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simplified.
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implemented in the C language. The biggest change from drizzlepac is that this code passes an array that maps the input to output image into the C code, while the drizzlepac code computes the mapping by using a Python callback. Switching to using an array allowed the code to be greatly
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Python to easily perform repetitive operations such as simulate the observation of multiple type of sources through multiple observing modes.
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instrument mode.
pysynphot can help HST observers to perform cross-instrument simulations, to examine the transmission curve of the HST Optical Telescope Assembly (OTA), and spectra of HST calibration targets. Expert users can take advantage of the control and data structures available in
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* Query the resulting structures for quantities of interest, such as
countrate, effective wavelength, effective stimulus, as well as the
wavelength and flux arrays.
* Plot HST sensitivity curves and calibration target spectra.
* Compute photometric calibration parameters for any HST
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incorporate their own filters, spectra, and data. pysynphot user interface allows you to:

* Construct complicated composite spectra from various grids of model
atmosphere spectra, parameterized spectrum models, and atlases of stellar
spectrophotometry.
* Simulate observations.
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such as KStars or Xephem.
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NexStar GPS-SA, NexStar iSeries, NexStar SE Series, NexStar GT, CPC, SLT, Advanced-VX, Advanced-GT, CGE, CGEM etc. SkyWatcher: EQ5, HEQ5, EQ6 (Pro), AZ-EQ5 GT, AZ-EQ6 GT, EQ8 etc. and the corresponding Orion mounts. This package contains the development files of the library
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examples), this is the primary download source of the package itself, and additionally, serves a public forum for the program users in various topics. Bug reports, comments and ideas are welcomed!
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knowledge of the used shell itself. If you find this program useful in your research, please cite 2012MNRAS.421.1825P as "2012, MNRAS, 421, 1825". See also the web page of the project, found at http://fitsh.net/. That page gathers information about the program (including documentation and
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to a popular graphics format, ...) while the details of a certain operation are specified via command switches and arguments. Therefore this package does not need any higher level operating environment than a standard UNIX shell, however, processing the related data might require a little more
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These tasks are designed for execution from a UNIX command line shell or shell script. Each of these tasks performs a specific operation (e.g. transforming an image to another reference frame, search and identifiy stars or other point-like sources, do photometry, transform/display a FITS image
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transforms.
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The C++ library provides input/output, basic spatial operations such as conversion between spherical coordinates and HEALPix pixels, and also sophisticated spatial operations such as querying cones or polygons, as well as upsampling/downsampling, smoothing, and fast spherical harmonic
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surface in which each pixel covers the same surface area as every other pixel. It is commonly used to store all-sky astronomical images, most famously maps of the cosmic microwave background.

This package provides the static library and headers for the C++ language implementation of HEALPix.
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be useful for reading large fits files. Compared to astropy.io.fits, this package is closer to the underlying cfitsio library.

Fitsio also exposes a microlanguage (implemented in CFITSIO) for making efficient SQL-like queries of tables (single tables only though–no joins or anything like that).
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