fastpp | SED fitting code FAST
kandi X-RAY | fastpp Summary
kandi X-RAY | fastpp Summary
fastpp is a C++ library. fastpp has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
This is a C++ version of the popular SED fitting code FAST (Kriek et al. 2009). Below is a list of the main selling points:. There are number of small differences between FAST++ and the original FAST, these are listed below in Differences with FAST. If you use this code for your own work, please cite this repository, as well as Kriek et al. (2009) where FAST was first introduced.
This is a C++ version of the popular SED fitting code FAST (Kriek et al. 2009). Below is a list of the main selling points:. There are number of small differences between FAST++ and the original FAST, these are listed below in Differences with FAST. If you use this code for your own work, please cite this repository, as well as Kriek et al. (2009) where FAST was first introduced.
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Quality
Security
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Support
fastpp has a low active ecosystem.
It has 13 star(s) with 1 fork(s). There are 4 watchers for this library.
It had no major release in the last 12 months.
There are 0 open issues and 13 have been closed. On average issues are closed in 34 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of fastpp is v1.3.1
Quality
fastpp has 0 bugs and 0 code smells.
Security
fastpp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
fastpp code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
fastpp is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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fastpp releases are available to install and integrate.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of fastpp
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of fastpp
fastpp Key Features
No Key Features are available at this moment for fastpp.
fastpp Examples and Code Snippets
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# Begin header
# ------------
[uint32]: number of bytes in header
[uchar]: 'C' (identifies the file type)
[uint32]: number of galaxies
[uint32]: number of properties (mass, sfr, etc)
# For each property:
[char*]: name of the property ("lmass", "
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num_pts [optional extra information...]
id lam trans
id lam trans
id lam trans
...
num_pts [optional extra information...]
id lam trans
id lam trans
id lam trans
...
...
11 my custom favorite filter (lambda0=5000 A)
1 4000.0 0.00
2 4200.0
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# Begin header
# ------------
[uint32]: number of bytes in header
[uchar]: 'B' (identifies the file type)
[uint32]: number of properties (mass, sfr, etc)
# For each property:
[char*]: name of the property ("lmass", "lsfr", etc)
[uint32]: number
Community Discussions
No Community Discussions are available at this moment for fastpp.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install fastpp
To install FAST++, you first need to build it. For this, you will need a recent C++ compiler, git and CMake. All of these tools are available by default on most modern linux distributions, and for MacOS you may need to install them with MacPorts. From there installing FAST++ is very easy. Navigate to a directory of your choosing where the code will be downloaded (it will be placed in a subdirectory called fastpp), then execute the following commands:. This will create an executable called fast++ in the fastpp/bin directory, which you can use immediately to replace FAST. If you have not installed FAST, you will have to download some template libraries from the FAST website before you can start fitting galaxies (note that some libraries can only be obtained by downloading FAST itself, such as ised_exp.pr). The latest FAST template error function and EAzY filter response database are provided with FAST++ in the fastpp/share directory. If you want to use arbitrary star formation histories beyond what the original FAST supports, you will have to download the single stellar populations libraries from Bruzual & Charlot (2003). To simplify this task for you, a script is provided in the fastpp/share/libraries folder. This script will download the libraries and rename the files to FAST++ convention for you, all you have to do is run this script and it will take care of the rest. You will need about 400 MB of free disk space.
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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