I've started learning MIDAS as I'm on Linux. In my research into the pro's and cons of MIDAS over Iraf, I see that the Iraf website now recommends Astropy. 
It would seem to be the way forward in professional data reduction also and a couple of packages are available for spectroscopy. 
Has anyone tried the python way? 
Link for an example at  http://learn.astropy.org/UVES.html
Stu
			
			
									
						
										
						Astropy Data Reduction
- 
				Martin Dubs
 - Posts: 143
 - Joined: Fri Jan 06, 2012 9:16 pm
 - Location: Maienfeld, Switzerland
 
Re: Astropy Data Reduction
Hello Stu,
I have analyzed meteor spectra with different software for a while. Since this requires quite specific processing and I could find nothing suitable, i developed my own program. I used Python, also astropy, because it contains many of the required tools, eg. for reading images, transforming them, plotting and least square fits.
To get an idea of what I did, you may look at https://meteorspectroscopy.org/, in particular at
https://meteorspectroscopy.org/2020/03/ ... w-version/ If you are interested in it, please give me a short mail
Regards,
Martin
			
			
									
						
										
						I have analyzed meteor spectra with different software for a while. Since this requires quite specific processing and I could find nothing suitable, i developed my own program. I used Python, also astropy, because it contains many of the required tools, eg. for reading images, transforming them, plotting and least square fits.
To get an idea of what I did, you may look at https://meteorspectroscopy.org/, in particular at
https://meteorspectroscopy.org/2020/03/ ... w-version/ If you are interested in it, please give me a short mail
Regards,
Martin
Re: Astropy Data Reduction
Hello Martin,
Congratulations on programming your reduction code, it looks great and I am very much interested so will email you.
It seems Python is the way forward so will need to up my knowledge and learn.
I wondered if the existing pyDIS would be an option and if you see any pitfalls?
https://github.com/TheAstroFactory/pydi ... tion-Guide
Regards,
Stu
			
			
									
						
										
						Congratulations on programming your reduction code, it looks great and I am very much interested so will email you.
It seems Python is the way forward so will need to up my knowledge and learn.
I wondered if the existing pyDIS would be an option and if you see any pitfalls?
https://github.com/TheAstroFactory/pydi ... tion-Guide
Regards,
Stu
- 
				Benjamin Mauclaire
 - Posts: 258
 - Joined: Thu Sep 29, 2011 10:14 am
 
Re: Astropy Data Reduction
Hi Stu,
If you are looking for a spectral processing and analysis software to manage our spectra on Linux, there is Spcaudace: http://spcaudace.free.fr.
It a plugin of Audela free software in English and French language that can be ran on Linux/Win/MacOS systems. There is an ubuntu package available (http://spcaudace.free.fr/installation.php).
A documentation for runing pipelines and astrophysics analysis is available at http://spcaudace.free.fr/docs/index.php ... ccueil.php. A Google translate is fine.
Cheers,
Benji
			
			
									
						
							If you are looking for a spectral processing and analysis software to manage our spectra on Linux, there is Spcaudace: http://spcaudace.free.fr.
It a plugin of Audela free software in English and French language that can be ran on Linux/Win/MacOS systems. There is an ubuntu package available (http://spcaudace.free.fr/installation.php).
A documentation for runing pipelines and astrophysics analysis is available at http://spcaudace.free.fr/docs/index.php ... ccueil.php. A Google translate is fine.
Cheers,
Benji
Spcaudace spectroscopy software: saving you hundred hours of frustration.
			
						Re: Astropy Data Reduction
Thanks Benji,
Your excellent Spcaudace software was on my "to do "list for downloading so thanks for the timely reminder.
Thank you for making a Linux version too!
Cheerio,
Stu
			
			
									
						
										
						Your excellent Spcaudace software was on my "to do "list for downloading so thanks for the timely reminder.
Thank you for making a Linux version too!
Cheerio,
Stu