from CodeTools.PlottingManager import myPickle
from Plotting_Libraries.dazer_plotter import Plot_Conf
from numpy import array, power, savetxt, transpose, unique, where, zeros, ones
from Math_Libraries import sigfig
from Scientific_Lib.IrafMethods import Pyraf_Workflow
from collections import OrderedDict
from os import mkdir
#Declare Classes
pv = myPickle()
dz = Plot_Conf()
py_w = Pyraf_Workflow('WHT')
# #-----------------------------------------STARBURST EQUIVALENT WIDTH EVOLUTION----------------------------------------
FilesFolder = '/home/vital/Dropbox/Astrophysics/Data/Starburst_Spectra_z0.004/'
FilesPattern = '_txt_LinesLog_v3.txt'
#Locate files on hard drive
FilesList = pv.Folder_Explorer(FilesPattern, FilesFolder, CheckComputer=False)
# #Define figure format
dz.FigConf()
#Lines to plot
# H_Lines = ['H1_3970A','H1_4102A','H1_4340A', 'H1_4861A', 'H1_6563A']
H_Lines = [
'He1_3188A', 'He1_4026A', 'He1_4471A', 'He2_4686A', 'He1_5016A',
'He1_5876A', 'He1_6678A'
]
#Define dictionary to store the data
'''
Created on May 18, 2015
@author: vital
'''
import CodeTools.PlottingManager as plotMan
from PipeLineMethods.ManageFlow import DataToTreat
from Scientific_Lib.IrafMethods import Pyraf_Workflow
pv = plotMan.myPickle()
py_w = Pyraf_Workflow('WHT')
# input_spec = 'obj70_s_c_cr_f_a_bg0001.fits[0]'
# output_spec = 'obj70_s_c_cr_f_a_t_bg_fxW_TESTPYRAF.fits'
# Folder = '/home/vital/Desktop/SDSS_Galaxies/Flux_Calibration_Steps/Night1_Blue/'
# sens_func = 'a_std_wideCombAll_se.fits[0]'
Pattern = 'obj70_s_c_cr_f_a_bg0001.fits'
CatalogueFolder = '/home/vital/Desktop/SDSS_Galaxies/Flux_Calibration_Steps/Night1_Blue/'
#Find and organize files from terminal command or .py file
FilesList = pv.FindAndOrganize(Pattern, CatalogueFolder, CheckComputer=False)
#Generate plot frame and colors
pv.FigFormat_One(ColorConf='Night1')
#Loop through files
for i in range(len(FilesList)):
for j in range(len(FilesList[i])):
CodeName, FileName, FileFolder = pv.FileAnalyzer(FilesList[i][j])
'''
Created on May 18, 2015
@author: vital
'''
import CodeTools.PlottingManager as plotMan
from Scientific_Lib.IrafMethods import Pyraf_Workflow
from os.path import isfile
#WHILE YOU USE THE SPLOT TASK USE THE X KEY TO ABSORPTION LINES FROM THE STAR
#USE KEY "i" TO SAVE SPECTRA
#SAVE THE SPECTRA AS std + "STANDARDCODE" + '_clean.fits'
pv = plotMan.myPickle()
py_w = Pyraf_Workflow('WHT')
CatalogueFolder, PropertiesDict = py_w.DataFormat(Reduction_Operation = 'Std_Clean')
Pattern = PropertiesDict['Suffix_FluxCalibrated_Trimmed']
#Find and organize files from terminal command or .py file
FilesList = pv.FindAndOrganize(Pattern, CatalogueFolder, CheckComputer=False)
#Loop through files
for i in range(len(FilesList)):
for j in range(len(FilesList[i])):
#WARNING NOT THE BEST APPROACH... CLEAN:
if ('std' in FilesList[i][j]) and ('Red' in FilesList[i][j]):
CodeName, FileName, FileFolder = pv.FileAnalyzer(FilesList[i][j])
StarCode = py_w.StarnameFromFileName(FileName)
"""
Created on May 18, 2015
@author: vital
"""
import CodeTools.PlottingManager as plotMan
from Scientific_Lib.IrafMethods import Pyraf_Workflow
from CodeTools.File_Managing_Tools import File_Manager
# Define the library
pv = plotMan.myPickle()
py_w = Pyraf_Workflow("WHT")
Fm = File_Manager()
# Establish the location of files
CatalogueFolder, PropertiesDict = py_w.DataFormat(Reduction_Operation="Obs_TrimCalibrated")
Pattern = PropertiesDict["Suffix_FluxCalibrated"]
# THIS SHOULR GO INSIDE THE CLASS
Catalogue_Instructions = CatalogueFolder + py_w.SpectraTreating + Fm.Extensions_dictionary["Reduction Instructions"]
Fm.select_Table(Catalogue_Instructions, 1, loadheaders_check=True)
Objects, Trimming_wavelengths = Fm.get_ColumnData(
["CodeName", "Wavelength_Trim"], 1, StringIndexes=True, datatype=str, unpack_check=True
)
# Find and organize files from terminal command or .py file
FilesList = Fm.Folder_Explorer(Pattern, CatalogueFolder, CheckComputer=False)
# Generate plot frame and colors
pv.FigFormat_One(ColorConf="Night1")
'''
Created on May 18, 2015
@author: vital
'''
import CodeTools.PlottingManager as plotMan
from Scientific_Lib.IrafMethods import Pyraf_Workflow
from numpy import median, loadtxt
from Scientific_Lib.AstroMethods import Fnu_to_Flam, mAb_to_Fnu
pv = plotMan.myPickle()
py_w = Pyraf_Workflow('WHT')
Pattern, CatalogueFolder = py_w.DataFormat(Reduction_Operation = 'Std_FluxCalibration')
#Find and organize files from terminal command or .py file
FilesList = pv.FindAndOrganize(Pattern, CatalogueFolder, CheckComputer=False)
#Generate plot frame and colors
pv.FigFormat_One(ColorConf='Night1')
#Loop through files
for i in range(len(FilesList)):
for j in range(len(FilesList[i])):
CodeName, FileName, FileFolder = pv.FileAnalyzer(FilesList[i][j])
#From the fits file determine which is the star being treated
StarName = py_w.StarnameFromFileName(FileName)
#Star sensitivity curve
SensitivityCurve = 'a_sen_' + StarName
"""
Created on May 18, 2015
@author: vital
"""
import CodeTools.PlottingManager as plotMan
from Scientific_Lib.IrafMethods import Pyraf_Workflow
from numpy import median
pv = plotMan.myPickle()
py_w = Pyraf_Workflow("WHT")
Pattern, CatalogueFolder = py_w.DataFormat(Reduction_Operation="Obs_FluxCalibration")
# Find and organize files from terminal command or .py file
FilesList = pv.FindAndOrganize(Pattern, CatalogueFolder, CheckComputer=False)
# Generate plot frame and colors
pv.FigFormat_One(ColorConf="Night1")
# Loop through files
for i in range(len(FilesList)):
for j in range(len(FilesList[i])):
CodeName, FileName, FileFolder = pv.FileAnalyzer(FilesList[i][j])
CodeName = FileName[3 : FileName.find("_")]
# From the fits file determine which is the star being treated
StarName = py_w.StarnameFromFileName(FileName)
Sensitivity_CurveCombined = py_w.GlobalSensitiviyCurve
# Get Airmass and Exptime for the object
'''
Created on May 18, 2015
@author: vital
'''
import CodeTools.PlottingManager as plotMan
from Scientific_Lib.IrafMethods import Pyraf_Workflow
from os.path import isfile
from CodeTools.File_Managing_Tools import File_Manager
#Define the library
pv = plotMan.myPickle()
py_w = Pyraf_Workflow('WHT')
Fm = File_Manager()
CatalogueFolder, PropertiesDict = py_w.DataFormat(Reduction_Operation = 'dopcor')
PatternBlue = PropertiesDict['Suffix_FluxCalibrated_Trimmed']
PatternRed = PropertiesDict['Suffix_FluxCalibrated_Trimmed_Telluric']
#Find and organize files from terminal command or .py file
FilesList_Blue = Fm.Folder_Explorer(PatternBlue, CatalogueFolder + 'Blue/', CheckComputer=False)
FilesList_Red = Fm.Folder_Explorer(PatternRed, CatalogueFolder + 'Red/', CheckComputer=False)
FilesList = FilesList_Blue + FilesList_Red
#THIS SHOULR GO INSIDE THE CLASS
Catalogue_Instructions = CatalogueFolder + py_w.SpectraTreating + Fm.Extensions_dictionary['Reduction Instructions']
Fm.select_Table(Catalogue_Instructions, 1, loadheaders_check = True)
Objects, Redshifts = Fm.get_ColumnData(['CodeName', 'Dopcor'], 1, StringIndexes = True, datatype = str, unpack_check = True)
#Generate plot frame and colors
'''
Created on May 18, 2015
@author: vital
'''
import CodeTools.PlottingManager as plotMan
from Scientific_Lib.IrafMethods import Pyraf_Workflow
from numpy import loadtxt
pv = plotMan.myPickle()
py_w = Pyraf_Workflow('WHT')
Pattern, CatalogueFolder = py_w.DataFormat()
#Find and organize files from terminal command or .py file
FilesList = pv.FindAndOrganize(Pattern, CatalogueFolder, CheckComputer=False)
#Generate plot frame and colors
pv.FigFormat_One(ColorConf='Night1')
#Loop through files
for i in range(len(FilesList)):
for j in range(len(FilesList[i])):
CodeName, FileName, FileFolder = pv.FileAnalyzer(FilesList[i][j])
#Get Star name
StarName = py_w.StarnameFromFileName(FileName)
Star_StandardFile = 'a_std_' + StarName.lower()
#Open standard task file
Wavelength, Flux_nu_I = loadtxt(FileFolder + Star_StandardFile, skiprows=1, usecols = (0, 1), unpack = True)
'''
Created on May 18, 2015
@author: vital
'''
import CodeTools.PlottingManager as plotMan
from Scientific_Lib.IrafMethods import Pyraf_Workflow
from CodeTools.File_Managing_Tools import File_Manager
#USE A SMALL ORDER 5?
pv = plotMan.myPickle()
py_w = Pyraf_Workflow('WHT')
Fm = File_Manager()
CatalogueFolder, PropertiesDict = py_w.DataFormat(Reduction_Operation = 'Std_Clean')
Pattern = '_fxW_t.fits'
#THIS SHOULR GO INSIDE THE CLASS
Catalogue_Instructions = CatalogueFolder + py_w.SpectraTreating + Fm.Extensions_dictionary['Reduction Instructions']
Fm.select_Table(Catalogue_Instructions, 1, loadheaders_check = True)
Objects, TelluricStar_List = Fm.get_ColumnData(['CodeName', 'Telluric_Star'], 1, StringIndexes = True, datatype = str, unpack_check = True)
#Find and organize files from terminal command or .py file
FilesList = Fm.Folder_Explorer(Pattern, CatalogueFolder, CheckComputer = False)
#Generate plot frame and colors
pv.FigFormat_One(ColorConf='Night1')
#Loop through files
'''
Created on May 18, 2015
@author: vital
'''
import CodeTools.PlottingManager as plotMan
from Scientific_Lib.IrafMethods import Pyraf_Workflow
pv = plotMan.myPickle()
py_w = Pyraf_Workflow('WHT')
Pattern, CatalogueFolder = py_w.DataFormat(Reduction_Operation = 'Std_FluxCalibration')
#Find and organize files from terminal command or .py file
FilesList = pv.FindAndOrganize(Pattern, CatalogueFolder, CheckComputer=False)
GlobalStandard_File = py_w.Airmass_Key
#Loop through files
for i in range(len(FilesList)):
for j in range(len(FilesList[i])):
CodeName, FileName, FileFolder = pv.FileAnalyzer(FilesList[i][j])
#Red
Airmass_Value = py_w.get_HeaderValue(py_w.Airmass_Key, FileFolder + FileName, Digitalize=True)
ExpTime_Value = py_w.get_HeaderValue(py_w.Exptime_Key, FileFolder + FileName, Digitalize=True)
#Run the task
OutputFile_StandardFile = py_w.StandardTask(FileName, OutputFile = None, FitsFolder =FileFolder, airmass_value = Airmass_Value, exptime_value = ExpTime_Value)
