specutils | Astropy coordinated package for astronomical spectroscopy | Dataset library

by astropy Python Version: v1.10.0 License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | specutils Summary

specutils is a Python library typically used in Artificial Intelligence, Dataset applications. specutils has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

An Astropy coordinated package for astronomical spectroscopy. Maintainers: @nmearl @rosteen @keflavich @eteq

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specutils has a low active ecosystem.

It has 143 star(s) with 118 fork(s). There are 21 watchers for this library.

It had no major release in the last 12 months.

There are 171 open issues and 357 have been closed. On average issues are closed in 432 days. There are 11 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of specutils is v1.10.0

Quality

specutils has 0 bugs and 0 code smells.

Security

specutils has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

specutils code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

specutils does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

specutils releases are available to install and integrate.

Build file is available. You can build the component from source.

specutils saves you 4134 person hours of effort in developing the same functionality from scratch.

It has 10394 lines of code, 708 functions and 99 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed specutils and discovered the below as its top functions. This is intended to give you an instant insight into specutils implemented functionality, and help decide if they suit your requirements.

Load an AAomega file
Compute a WCS from a dictionary
Add labels to a list of specifiers
Guess the label from the header
Load a single split file
Add a single spectra to the map
Get the flux units from the given header
Add units to the model
Combine postfix postfix
Return the centroid of a spectrum
Load a tabular spectrum
Load the twosla qlg fits
Load a spPlate file
Compute the equivalent width of a spectrum
Load spectrum from a file object
Read a SpectrumCollection from a file - like object
Compute the template spectrum for a given set of observed_templates
Resample a spectrum to a new spectrum
R Compute the correlation between the observed and observed spectra
Read a nonlinear spectrum from a file
Load miri spectra
Create a fits object from a fits object
Write a wcs1d object to a wcs file
Load a multiline single file
Load a wcs file
Load a PSF file

Get all kandi verified functions for this library.

specutils Key Features

No Key Features are available at this moment for specutils.

specutils Examples and Code Snippets

No Code Snippets are available at this moment for specutils.

Community Discussions

Trending Discussions on specutils

Continuum Fitting with Python using specutils

How to display ESO Harps s1d fits file? (Python)

specutils fit_generic_continuum giving TypeError when used on Spectrum1D

QUESTION

Continuum Fitting with Python using specutils

Asked 2020-Nov-22 at 11:17

it's my first time processing spectra from a black body radiation experiment, I'm using Python and having some troubles... I have this spectra with 2 peaks and uneven background noise which I want to normalize, I tried using specutils 1.1 "continuum-fitting" (documentation here: https://specutils.readthedocs.io/en/stable/fitting.html#continuum-fitting )

My implementation is this:

...

ANSWER

Answered 2020-Nov-22 at 11:17

At the end I settled on using a median filter from scipy (medfilt) and with a high enough kernel it removed the spikes completely.

The problem on my specutils implementation was that I needed to exclude the peaks in the spectrum window by doing this, althought I found this too hard to implement on 100-120 data measurement I had:

Source https://stackoverflow.com/questions/64918467

QUESTION

How to display ESO Harps s1d fits file? (Python)

Asked 2020-Nov-02 at 12:01

Hi I am looking to plot a spectra on python of a fits file. ESO has a guide on how to display 1D spectra and a code that should work which is the following:

...

ANSWER

Answered 2020-Nov-01 at 20:46

I had a look at a random spectrum downloaded from this page. Indeed it contains only one HDU so you will get an IndexError if you try to access data from an HDU that does not exist.

The code you linked to might be old (it is on an "archive" page after all) and is also merely an example, not necessarily appropriate for plotting data from any FITS file.

The specutils package has many utilities for analyzing and plotting 1D spectra. It can also read spectra from many common FITS formats without having to do too much manually.

Here's what I did. First I opened the file, this one in particular:

Source https://stackoverflow.com/questions/64632260

QUESTION

specutils fit_generic_continuum giving TypeError when used on Spectrum1D

Asked 2020-May-22 at 16:52

I'm trying to fit a generic continuum to my spectrum to normalize it (I realize this isn't a very good method for complicated spectra, but can't seem to find a good continuum normalization routine for spectra in Python, so if you know of one please let me know!!).

Here's my code. w is the wavelength array and f is the flux array (which are just imported data):

...

ANSWER

Answered 2020-May-22 at 16:52

I don't have a solution to your code issue, but since you asked for recommendations for normalization routines I can help you with that. I use the Python based linetools package. There is a routine within it "lt_continuumfit" which does a beautiful job normalizing continuum. It's all I use for normalizing now. It's very easy to install and use and has many other functions as well (rebin, velocity plots, splicing, etc). https://linetools.readthedocs.io/en/latest/

Source https://stackoverflow.com/questions/61604532

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install specutils

You can download it from GitHub.
You can use specutils like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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