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zK||uIB1)Nq)BNa;ByW!kI9l!z{eCCkOjWjb%*s{TM8sNL)#b_?^0$zrI75b{yx#^vOW8C5IOnQcV z!7vgd68CUMo7gs*O4y#QY2Ce8v~>O_gY-YM^3pJ*Kiz_GHM~@1dI=Dxp~04iTu6m5 zAPV5$kQ)m9%RWS$q;*@ zr@Vl~qWNm23HJf{C?rT}UA&^CkL-8Nz;^n5T5749y;>ivPi&*&J)JXXti^K*zfL+E zFKF)6O{Ie4*^aGB`RdaIt zPH|F_tpoIl>eUq|Xk^FMJw-gE|GC9x+8i-v=hhhKt#JrqVfLz5D%9r`I|%+~T(6m2 z5=|SfUVXXJ$p@NhH2W(sw0};_R%k%>g0bl6 zn-ukIg8>gYwenAt7sp>*33Y9;`Q&{p!W#OP?b)k4m2+^!(n*HTvH2<&XQN+5%rnCU z01W|dBF)8)$awJsY9gJW9Dch0ts?38p(=?B=}+}z0qa!NztHcUL3G8N?U6N{_kUf+ zXAX8jYC_UC-hN7pC;=w8NOxs`jFk4fC~*FzrjT4-;#Uts5CYO-L#WzZNWZ`7Fp*_? zj(l-k!KCXq#$^+FhW-?$-!H6~8CZX;(5G<3nht+Jzo;KN=!msFUW~7&gJXgY_~_ix KyIrDgjrcE3=f-^i literal 0 HcmV?d00001 From 70b6510c455e0a58329c22074878bfff20c795fa Mon Sep 17 00:00:00 2001 From: elliesch Date: Wed, 10 May 2017 10:41:54 -0400 Subject: [PATCH 02/29] Preliminary edits for data viz --- README.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/README.md b/README.md index 3b5fa2b..9e3fe91 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,16 @@ # UltracoolTypingKit Home for qualitative spectral typing GUI that follows the Cruz Method + ### Instructions on usage coming soon! + + +These original pictures are for before and after versions of plot cleanup. + +#### The Initial Grid of Spectral Types +![Image of Opening Grid] +(https://github.com/elliesch/UltracoolTypingKit/blob/master/opengrid.png) + +#### After Spectral Type Selection +![Grid of Spectral Type Selection] +(https://github.com/elliesch/UltracoolTypingKit/blob/master/L3.png) \ No newline at end of file From 7288e1f02592c427b59db8b59370b23a83653a4c Mon Sep 17 00:00:00 2001 From: elliesch Date: Wed, 10 May 2017 10:44:32 -0400 Subject: [PATCH 03/29] Preliminary edits for data viz --- README.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 9e3fe91..e684f25 100644 --- a/README.md +++ b/README.md @@ -9,8 +9,10 @@ These original pictures are for before and after versions of plot cleanup. #### The Initial Grid of Spectral Types ![Image of Opening Grid] -(https://github.com/elliesch/UltracoolTypingKit/blob/master/opengrid.png) +(https://raw.githubusercontent.com/elliesch/UltracoolTypingKit/master/opengrid.png) + +Select the spectral type you think is best by pressing the corresponding number on your keyboard. #### After Spectral Type Selection ![Grid of Spectral Type Selection] -(https://github.com/elliesch/UltracoolTypingKit/blob/master/L3.png) \ No newline at end of file +(https://raw.githubusercontent.com/elliesch/UltracoolTypingKit/master/L3.png) \ No newline at end of file From e02bdc7b9cea0c5e0353517b7d05c30157aa0672 Mon Sep 17 00:00:00 2001 From: elliesch Date: Wed, 10 May 2017 10:46:32 -0400 Subject: [PATCH 04/29] Trying to get images to show --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index e684f25..d8a0bea 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ These original pictures are for before and after versions of plot cleanup. #### The Initial Grid of Spectral Types ![Image of Opening Grid] -(https://raw.githubusercontent.com/elliesch/UltracoolTypingKit/master/opengrid.png) +(https://raw.githubusercontent.com/elliesch/UltracoolTypingKit/master/opengrid.png?raw=true) Select the spectral type you think is best by pressing the corresponding number on your keyboard. From 0a1c8fb6741703f0d4e0f4963e5b00e826e0190d Mon Sep 17 00:00:00 2001 From: elliesch Date: Wed, 10 May 2017 10:49:30 -0400 Subject: [PATCH 05/29] Trying to get images to show --- README.md | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index d8a0bea..e18315f 100644 --- a/README.md +++ b/README.md @@ -8,11 +8,9 @@ Home for qualitative spectral typing GUI that follows the Cruz Method These original pictures are for before and after versions of plot cleanup. #### The Initial Grid of Spectral Types -![Image of Opening Grid] -(https://raw.githubusercontent.com/elliesch/UltracoolTypingKit/master/opengrid.png?raw=true) + ![Image of Opening Grid] (https://raw.githubusercontent.com/elliesch/UltracoolTypingKit/master/opengrid.png?raw=true) Select the spectral type you think is best by pressing the corresponding number on your keyboard. #### After Spectral Type Selection -![Grid of Spectral Type Selection] -(https://raw.githubusercontent.com/elliesch/UltracoolTypingKit/master/L3.png) \ No newline at end of file + ![Grid of Spectral Type Selection](https://raw.githubusercontent.com/elliesch/UltracoolTypingKit/master/L3.png) \ No newline at end of file From 79e954f4312918eca010c7593b70914e9d21fb94 Mon Sep 17 00:00:00 2001 From: elliesch Date: Wed, 10 May 2017 10:50:47 -0400 Subject: [PATCH 06/29] Fixed image show problem in readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index e18315f..7312a94 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ Home for qualitative spectral typing GUI that follows the Cruz Method These original pictures are for before and after versions of plot cleanup. #### The Initial Grid of Spectral Types - ![Image of Opening Grid] (https://raw.githubusercontent.com/elliesch/UltracoolTypingKit/master/opengrid.png?raw=true) + ![Image of Opening Grid] (https://raw.githubusercontent.com/elliesch/UltracoolTypingKit/master/opengrid.png) Select the spectral type you think is best by pressing the corresponding number on your keyboard. From c9fa5b981303322d5f98ab450797a6e90d8a1087 Mon Sep 17 00:00:00 2001 From: elliesch Date: Wed, 10 May 2017 10:53:03 -0400 Subject: [PATCH 07/29] Trying to get first image toshow --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 7312a94..27983de 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ Home for qualitative spectral typing GUI that follows the Cruz Method These original pictures are for before and after versions of plot cleanup. #### The Initial Grid of Spectral Types - ![Image of Opening Grid] (https://raw.githubusercontent.com/elliesch/UltracoolTypingKit/master/opengrid.png) + ![Image of Opening Grid] (https://raw.githubusercontent.com/elliesch/UltracoolTypingKit/master/opengrid.png | width=500) Select the spectral type you think is best by pressing the corresponding number on your keyboard. From 7bffc3d418f13b128b6f0ee03a21aa651a8d1b85 Mon Sep 17 00:00:00 2001 From: elliesch Date: Wed, 10 May 2017 10:55:30 -0400 Subject: [PATCH 08/29] Trying to get first image toshow --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 27983de..c6b85dd 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ Home for qualitative spectral typing GUI that follows the Cruz Method These original pictures are for before and after versions of plot cleanup. #### The Initial Grid of Spectral Types - ![Image of Opening Grid] (https://raw.githubusercontent.com/elliesch/UltracoolTypingKit/master/opengrid.png | width=500) + Select the spectral type you think is best by pressing the corresponding number on your keyboard. From 395181d2820e0546a63f48aca37ea50f676b8e74 Mon Sep 17 00:00:00 2001 From: elliesch Date: Wed, 10 May 2017 10:56:12 -0400 Subject: [PATCH 09/29] Editing size of first image --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c6b85dd..678608b 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ Home for qualitative spectral typing GUI that follows the Cruz Method These original pictures are for before and after versions of plot cleanup. #### The Initial Grid of Spectral Types - + Select the spectral type you think is best by pressing the corresponding number on your keyboard. From 6633c99b116cf1128f5ab57e348c830097836aec Mon Sep 17 00:00:00 2001 From: elliesch Date: Thu, 11 May 2017 15:20:06 -0400 Subject: [PATCH 10/29] Moved majority of repetitive functionality to classes --- TypeFinder.py | 1426 ++++++++++++++----------------------------------- 1 file changed, 391 insertions(+), 1035 deletions(-) diff --git a/TypeFinder.py b/TypeFinder.py index e8cde8d..ad0199e 100644 --- a/TypeFinder.py +++ b/TypeFinder.py @@ -1,192 +1,23 @@ -def typing_kit(file_name) : - - ''' - Ellianna Schwab, Kelle Cruz - - typing_kit provides plots to qualitatively spectral type L-type brown dwarfs in NIR regime. - Typing methods are taken from Cruz et al. 2017 and offer comparison to Kirkpatrick 2010 typing templates. - - To use input path to file_name in a string. A band-by-band grid of Cruz et al 2017 templates - will be overplotted with the target spectrum. To compare to Kirkpatrick 2010, key in the spectral type - number, '0' - '8'. Cruz et al. 2017 templates are shown band-by-band followed by Kirkpatrick 2010 - templates of the overall NIR spectrum. To save the plot, hit 's'. - ''' - - ##========= - ## Import Section - ##========= - - import numpy as np - import matplotlib.pyplot as plt - from astropy.io import fits - from astropy.io import ascii - - ##======== - ## Creating arrays - ##======== - - hdulist = fits.open(file_name) - spectrum = hdulist[0] - wavelength = spectrum.data[0] - flux = spectrum.data[1] - - fig1, axes1 = plt.subplots(9, 9, figsize=(16,11), facecolor='white') - - #Create J, H and K bands for spectrum - - wavelength_J = [] - flux_J = [] - wavelength_H = [] - flux_H = [] - wavelength_K = [] - flux_K = [] - for jj in range(len(wavelength)): - if wavelength[jj] >= 0.87 and wavelength[jj] <= 1.39: - wavelength_J.append(wavelength[jj]) - flux_J.append(flux[jj]) - elif wavelength[jj] >= 1.41 and wavelength[jj] <= 1.89: - wavelength_H.append(wavelength[jj]) - flux_H.append(flux[jj]) - elif wavelength[jj] >= 1.91 and wavelength[jj] <=2.39: - wavelength_K.append(wavelength[jj]) - flux_K.append(flux[jj]) - - - #Normalize Each Band - - wavelength_J = np.array(wavelength_J) - flux_J = np.array(flux_J) - wavelength_H = np.array(wavelength_H) - flux_H = np.array(flux_H) - wavelength_K = np.array(wavelength_K) - flux_K = np.array(flux_K) - - flux_J = flux_J/np.mean(flux_J) - flux_H = flux_H/np.mean(flux_H) - flux_K = flux_K/np.mean(flux_K) - +import numpy as np +import matplotlib.pyplot as plt +from pylab import * +from astropy.io import fits +from astropy.io import ascii - ##=============== - #This defines the initial grid plot - ##=============== - +class Data: - #Create the plots for alpha gravity + def __init__(self, file_name): - for ii in range(9): - ##J Band - axes1[ii, 0].plot(ascii.read("templates/L{}J_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col2'], c='red') - axes1[ii, 0].fill_between(ascii.read("templates/L{}J_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col5'], color='#c6c6c6') - axes1[ii, 0].plot(wavelength_J, flux_J, c='k') - axes1[ii, 0].annotate('L{}'.format(ii), xy=(0.1, 0.9), xycoords='axes fraction', color='k') - axes1[ii, 0].axis('off') - - #H Band - axes1[ii, 1].plot(ascii.read("templates/L{}H_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col2'], c='red') - axes1[ii, 1].fill_between(ascii.read("templates/L{}H_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col5'], color='#c6c6c6') - axes1[ii, 1].plot(wavelength_H, flux_H, c='k') - axes1[ii, 1].axis('off') - - #K Band - axes1[ii, 2].plot(ascii.read("templates/L{}K_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col2'], c='red') - axes1[ii, 2].fill_between(ascii.read("templates/L{}K_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col5'], color='#c6c6c6') - axes1[ii, 2].plot(wavelength_K, flux_K, c='k') - axes1[ii, 2].axis('off') - - - #Create the plots for beta gravity - - for ii in range(2): - ##J Band - axes1[ii, 3].plot(ascii.read("templates/L{}J_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_b.txt".format(ii))['col2'], c='red') - axes1[ii, 3].fill_between(ascii.read("templates/L{}J_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_b.txt".format(ii))['col4'], \ - ascii.read("templates/L{}J_b.txt".format(ii))['col5'], color='#c6c6c6') - axes1[ii, 3].plot(wavelength_J, flux_J, c='k') - axes1[ii, 3].annotate(r'L{}$\beta$'.format(ii), xy=(0.1, 0.9), xycoords='axes fraction', color='k') - axes1[ii, 3].axis('off') - - #H Band - axes1[ii, 4].plot(ascii.read("templates/L{}H_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_b.txt".format(ii))['col2'], c='red') - axes1[ii, 4].fill_between(ascii.read("templates/L{}H_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_b.txt".format(ii))['col4'], \ - ascii.read("templates/L{}H_b.txt".format(ii))['col5'], color='#c6c6c6') - axes1[ii, 4].plot(wavelength_H, flux_H, c='k') - axes1[ii, 4].axis('off') - - #K Band - axes1[ii, 5].plot(ascii.read("templates/L{}K_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_b.txt".format(ii))['col2'], c='red') - axes1[ii, 5].fill_between(ascii.read("templates/L{}K_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_b.txt".format(ii))['col4'], \ - ascii.read("templates/L{}K_b.txt".format(ii))['col5'], color='#c6c6c6') - axes1[ii, 5].plot(wavelength_K, flux_K, c='k') - axes1[ii, 5].axis('off') - - for ii in range(2,9): - for jj in [3,4,5]: - axes1[ii, jj].axis('off') + ''' + This function splits the data into J-H-K bands and normalizes each band by its average. + It also normalizes a separate copy of the overall spectra to Kirkpatrick '10 normalization specs. + ''' - #Create the plots for gamma gravity - - for ii in range(5): - ##J Band - axes1[ii, 6].plot(ascii.read("templates/L{}J_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_g.txt".format(ii))['col2'], c='red') - axes1[ii, 6].fill_between(ascii.read("templates/L{}J_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_g.txt".format(ii))['col4'], \ - ascii.read("templates/L{}J_g.txt".format(ii))['col5'], color='#c6c6c6') - axes1[ii, 6].plot(wavelength_J, flux_J, c='k') - axes1[ii, 6].annotate(r'L{}$\gamma$'.format(ii), xy=(0.1, 0.9), xycoords='axes fraction', color='k') - axes1[ii, 6].axis('off') - - #H Band - axes1[ii, 7].plot(ascii.read("templates/L{}H_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_g.txt".format(ii))['col2'], c='red') - axes1[ii, 7].fill_between(ascii.read("templates/L{}H_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_g.txt".format(ii))['col4'], \ - ascii.read("templates/L{}H_g.txt".format(ii))['col5'], color='#c6c6c6') - axes1[ii, 7].plot(wavelength_H, flux_H, c='k') - axes1[ii, 7].axis('off') - - #K Band - axes1[ii, 8].plot(ascii.read("templates/L{}K_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_g.txt".format(ii))['col2'], c='red') - axes1[ii, 8].fill_between(ascii.read("templates/L{}K_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_g.txt".format(ii))['col4'], \ - ascii.read("templates/L{}K_g.txt".format(ii))['col5'], color='#c6c6c6') - axes1[ii, 8].plot(wavelength_K, flux_K, c='k') - axes1[ii, 8].axis('off') - - for ii in range(5,9): - for jj in [6,7,8]: - axes1[ii, jj].axis('off') - - fig1.tight_layout() - - - ##=============== - #This now defines what happens after key_press - ##=============== - - - def on_key_press(event): hdulist = fits.open(file_name) spectrum = hdulist[0] wavelength = spectrum.data[0] flux = spectrum.data[1] - + #Create J, H and K bands for spectrum wavelength_J = [] @@ -202,7 +33,7 @@ def on_key_press(event): elif wavelength[jj] >= 1.41 and wavelength[jj] <= 1.89: wavelength_H.append(wavelength[jj]) flux_H.append(flux[jj]) - elif wavelength[jj] >= 1.91 and wavelength[jj] <=2.39: + elif wavelength[jj] >= 1.91 and wavelength[jj] <= 2.39: wavelength_K.append(wavelength[jj]) flux_K.append(flux[jj]) @@ -215,12 +46,11 @@ def on_key_press(event): flux_H = np.array(flux_H) wavelength_K = np.array(wavelength_K) flux_K = np.array(flux_K) - + flux_J = flux_J/np.mean(flux_J) flux_H = flux_H/np.mean(flux_H) flux_K = flux_K/np.mean(flux_K) - #Normalize the Overall Spectra to Kirkpatrick Normalization norm_flux_array=[] for jj in range(len(wavelength)): @@ -232,819 +62,86 @@ def on_key_press(event): flux=np.array(flux) norm_flux=flux/np.mean(norm_flux_array) - - #List the standards, so they can be called # "spectra/nir/prism_0835+1953_20050123_CHI06A.fits", this one doesn't exist? - NIR_standards = ["spectra/nir/U20165_0345+2540_new_w.fits", "spectra/nir/spex_prism_2130-0845_080713.fits", \ - "spectra/nir/U10244_0408-1450.fits", "spectra/nir/u11291_1506+1321_050323.fits", \ - "spectra/nir/U12101_2158-1550_davy.fits", "spectra/nir/spex_prism_2137+0808_U20909.fits", \ - "spectra/nir/U10880.fits", "spectra/nir/u10721_050323.fits", "spectra/nir/2M1632.fits"] - - beta_NIR_standards = ["spectra/nir/spex_prism_1552+2948_080730.fits", "spectra/nir/U20114_0227-1624.fits"] - - gamma_NIR_standards = ["spectra/nir/spex_prism_0141-4633_040905.fits", "spectra/nir/U10381_0518-2756.fits", \ - "spectra/nir/U10397.fits", "spectra/nir/spex_prism_2208+2921_U40004.fits", \ - "spectra/nir/U20198_2M0501-0010_dagny.fits"] - - ##============== - #First this begins with field gravity options - ##============== - - # If the key is in an easily bracketed part, or 1,2,3,4,5,6,7 - if event.key in '1234567': - type_number = int(event.key) - - #Create the Plots - fig2, axes2 = plt.subplots(figsize=(15,45), - nrows=3, ncols=4, sharex=False, sharey=False, - gridspec_kw={'width_ratios':[1,1,1,3]} - ) - - for jj, ii in zip([0,1,2], [type_number-1, type_number, type_number+1]): - ##J Band - axes2[jj, 0].plot(ascii.read("templates/L{}J_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col2'], c='red') - axes2[jj, 0].fill_between(ascii.read("templates/L{}J_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 0].plot(wavelength_J, flux_J, c='k') - axes2[jj, 0].annotate('L{}'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') - axes2[jj, 0].set_ylim([-0.5, 2]) - axes2[jj, 0].axis('off') - - #H Band - axes2[jj, 1].plot(ascii.read("templates/L{}H_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col2'], c='red') - axes2[jj, 1].fill_between(ascii.read("templates/L{}H_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 1].plot(wavelength_H, flux_H, c='k') - axes2[jj, 1].axis('off') - - - #K Band - axes2[jj, 2].plot(ascii.read("templates/L{}K_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col2'], c='red') - axes2[jj, 2].fill_between(ascii.read("templates/L{}K_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 2].plot(wavelength_K, flux_K, c='k') - axes2[jj, 2].axis('off') - - - #All Together Now! This is where the Kirkpatrick 10 one comes in. - temp_hdulist = fits.open(NIR_standards[ii]) - temp_spectrum = temp_hdulist[0] - temp_wavelength = temp_spectrum.data[0] - temp_flux = temp_spectrum.data[1] - - temp_norm_flux_array=[] - for kk in range(len(temp_wavelength)): - if temp_wavelength[kk] >= 1.28 and temp_wavelength[kk] <= 1.39: - temp_norm_flux_array.append(temp_flux[kk]) - temp_norm_flux_array=np.array(temp_norm_flux_array) - - temp_wavelength=np.array(temp_wavelength) - temp_flux=np.array(temp_flux) - temp_norm_flux=temp_flux/np.mean(temp_norm_flux_array) - - - axes2[jj, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[jj, 3].plot(wavelength, norm_flux, c='k') -# axes2[jj, 3].set_ylim([0, max(norm_flux) + 0.25]) -# axes2[jj, 3].set_xlim([min(wavelength), max(wavelength)]) - axes2[jj, 3].axis('off') - - fig2.savefig('new_types/' + file_name[12:-5] + r'_L{}'.format(type_number)) + self.wavelength_J = wavelength_J + self.flux_J = flux_J + self.wavelength_H = wavelength_H + self.flux_H = flux_H + self. wavelength_K = wavelength_K + self.flux_K = flux_K + self.wavelength = wavelength + self.norm_flux = norm_flux - elif event.key == '0': - type_number = int(event.key) - - #Create the Plots - fig2, axes2 = plt.subplots(figsize=(15,45), - nrows=3, ncols=4, sharex=False, sharey=False, - gridspec_kw={'width_ratios':[1,1,1,3]} - ) - - #Begin with the M9 template and then iterate over the rest - axes2[0, 0].annotate('M9', xy=(0.1, 0.8), xycoords='axes fraction', color='k') - axes2[0, 0].axis('off') - axes2[0, 1].axis('off') - axes2[0, 2].axis('off') - - temp_hdulist = fits.open("spectra/M9V_LHS2924.fits") - temp_spectrum = temp_hdulist[0] - temp_wavelength = temp_spectrum.data[0] - temp_flux = temp_spectrum.data[1] - temp_norm_flux_array=[] - for kk in range(len(temp_wavelength)): - if temp_wavelength[kk] >= 1.28 and temp_wavelength[kk] <= 1.39: - temp_norm_flux_array.append(temp_flux[kk]) - temp_norm_flux_array=np.array(temp_norm_flux_array) - - temp_wavelength=np.array(temp_wavelength) - temp_flux=np.array(temp_flux) - temp_norm_flux=temp_flux/np.mean(temp_norm_flux_array) - axes2[0, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[0, 3].plot(wavelength, norm_flux, c='k') - axes2[0, 3].axis('off') - - for jj, ii in zip([1,2], [type_number, type_number+1]): - ##J Band - axes2[jj, 0].plot(ascii.read("templates/L{}J_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col2'], c='red') - axes2[jj, 0].fill_between(ascii.read("templates/L{}J_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 0].plot(wavelength_J, flux_J, c='k') - axes2[jj, 0].annotate('L{}'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') - axes2[jj, 0].set_ylim([-0.5, 2]) - axes2[jj, 0].axis('off') - - #H Band - axes2[jj, 1].plot(ascii.read("templates/L{}H_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col2'], c='red') - axes2[jj, 1].fill_between(ascii.read("templates/L{}H_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 1].plot(wavelength_H, flux_H, c='k') - axes2[jj, 1].axis('off') - - - #K Band - axes2[jj, 2].plot(ascii.read("templates/L{}K_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col2'], c='red') - axes2[jj, 2].fill_between(ascii.read("templates/L{}K_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 2].plot(wavelength_K, flux_K, c='k') - axes2[jj, 2].axis('off') - - - #All Together Now! This is where the Kirkpatrick 10 one comes in. - temp_hdulist = fits.open(NIR_standards[ii]) - temp_spectrum = temp_hdulist[0] - temp_wavelength = temp_spectrum.data[0] - temp_flux = temp_spectrum.data[1] - - temp_norm_flux_array=[] - for kk in range(len(temp_wavelength)): - if temp_wavelength[kk] >= 1.28 and temp_wavelength[kk] <= 1.39: - temp_norm_flux_array.append(temp_flux[kk]) - temp_norm_flux_array=np.array(temp_norm_flux_array) - - temp_wavelength=np.array(temp_wavelength) - temp_flux=np.array(temp_flux) - temp_norm_flux=temp_flux/np.mean(temp_norm_flux_array) - - - axes2[jj, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[jj, 3].plot(wavelength, norm_flux, c='k') - axes2[jj, 3].axis('off') - - fig2.savefig('new_types/' + file_name[12:-5] + r'_L{}'.format(type_number)) +class MakePlot: - - elif event.key == '8': - type_number = int(event.key) + def __init__(self, file_name, type_number, NIR_standards): #This defines often reused variables - #List the standards, so they can be called # "spectra/nir/prism_0835+1953_20050123_CHI06A.fits", this one doesn't exist? - NIR_standards = ["spectra/nir/u10721_050323.fits", "spectra/nir/2M1632.fits"] - - #Create the Plots - - fig2, axes2 = plt.subplots( - nrows=3, ncols=4, sharex=False, sharey=False, - gridspec_kw={'width_ratios':[1,1,1,3]} - ) - - for jj, ii in zip([0,1], [type_number-1, type_number]): - ##J Band - axes2[jj, 0].plot(ascii.read("templates/L{}J_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col2'], c='red') - axes2[jj, 0].fill_between(ascii.read("templates/L{}J_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 0].plot(wavelength_J, flux_J, c='k') - axes2[jj, 0].annotate('L{}'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') - axes2[jj, 0].set_ylim([-0.5, 2]) - axes2[jj, 0].axis('off') - - #H Band - axes2[jj, 1].plot(ascii.read("templates/L{}H_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col2'], c='red') - axes2[jj, 1].fill_between(ascii.read("templates/L{}H_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 1].plot(wavelength_H, flux_H, c='k') - axes2[jj, 1].axis('off') - - - #K Band - axes2[jj, 2].plot(ascii.read("templates/L{}K_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col2'], c='red') - axes2[jj, 2].fill_between(ascii.read("templates/L{}K_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 2].plot(wavelength_K, flux_K, c='k') - axes2[jj, 2].axis('off') - - - #All Together Now! This is where the Kirkpatrick 10 one comes in. - temp_hdulist = fits.open(NIR_standards[jj]) - temp_spectrum = temp_hdulist[0] - temp_wavelength = temp_spectrum.data[0] - temp_flux = temp_spectrum.data[1] - - temp_norm_flux_array=[] - for kk in range(len(temp_wavelength)): - if temp_wavelength[kk] >= 1.28 and temp_wavelength[kk] <= 1.39: - temp_norm_flux_array.append(temp_flux[kk]) - temp_norm_flux_array=np.array(temp_norm_flux_array) - - temp_wavelength=np.array(temp_wavelength) - temp_flux=np.array(temp_flux) - temp_norm_flux=temp_flux/np.mean(temp_norm_flux_array) - - - axes2[jj, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[jj, 3].plot(wavelength, norm_flux, c='k') - axes2[jj, 3].axis('off') - - #Finish with T0 template - axes2[2, 0].annotate('T0', xy=(0.1, 0.8), xycoords='axes fraction', color='k') - axes2[2, 0].axis('off') - axes2[2, 1].axis('off') - axes2[2, 2].axis('off') - - temp_hdulist = fits.open("spectra/T0_2M0423_T0.fits") - temp_spectrum = temp_hdulist[0] - temp_wavelength = temp_spectrum.data[0] - temp_flux = temp_spectrum.data[1] - temp_norm_flux_array=[] - for kk in range(len(temp_wavelength)): - if temp_wavelength[kk] >= 1.28 and temp_wavelength[kk] <= 1.39: - temp_norm_flux_array.append(temp_flux[kk]) - temp_norm_flux_array=np.array(temp_norm_flux_array) - temp_wavelength=np.array(temp_wavelength) - temp_flux=np.array(temp_flux) - temp_norm_flux=temp_flux/np.mean(temp_norm_flux_array) - - axes2[2, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[2, 3].plot(wavelength, norm_flux, c='k') - axes2[2, 3].axis('off') - - fig2.savefig('new_types/' + file_name[12:-5] + r'_L{}'.format(type_number)) + ''' + This initializes all the variables necessary to make the on_key_press plots. + ''' - - ##============== - #For beta gravity options, uses ctrl+int - ##============== - - elif event.key == 'ctrl+0': - type_number = int(event.key[-1]) - - #Create the Plots + #Can define templates in each one! and can define all the pieces in each one and make multiple plot types :D - fig2, axes2 = plt.subplots(figsize=(15,45), - nrows=3, ncols=4, sharex=False, sharey=False, - gridspec_kw={'width_ratios':[1,1,1,3]} - ) - - #Begin with the M9 template and then iterate over the rest - axes2[0, 0].annotate(r'M9$\beta$', xy=(0.1, 0.8), xycoords='axes fraction', color='k') - for ii in range(3): - axes2[0, ii].axis('off') - - temp_hdulist = fits.open("spectra/M9V_LHS2924.fits") #this template needs to be fixed - temp_spectrum = temp_hdulist[0] - temp_wavelength = temp_spectrum.data[0] - temp_flux = temp_spectrum.data[1] - temp_norm_flux_array=[] - for kk in range(len(temp_wavelength)): - if temp_wavelength[kk] >= 1.28 and temp_wavelength[kk] <= 1.39: - temp_norm_flux_array.append(temp_flux[kk]) - temp_norm_flux_array=np.array(temp_norm_flux_array) - - temp_wavelength=np.array(temp_wavelength) - temp_flux=np.array(temp_flux) - temp_norm_flux=temp_flux/np.mean(temp_norm_flux_array) - axes2[0, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[0, 3].plot(wavelength, norm_flux, c='k') - axes2[0, 3].axis('off') - - for jj, ii in zip([1,2], [type_number, type_number+1]): - ##J Band - axes2[jj, 0].plot(ascii.read("templates/L{}J_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_b.txt".format(ii))['col2'], c='red') - axes2[jj, 0].fill_between(ascii.read("templates/L{}J_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_b.txt".format(ii))['col4'], \ - ascii.read("templates/L{}J_b.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 0].plot(wavelength_J, flux_J, c='k') - axes2[jj, 0].annotate(r'L{}$\beta$'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') - axes2[jj, 0].set_ylim([-0.5, 2]) - axes2[jj, 0].axis('off') - - #H Band - axes2[jj, 1].plot(ascii.read("templates/L{}H_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_b.txt".format(ii))['col2'], c='red') - axes2[jj, 1].fill_between(ascii.read("templates/L{}H_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_b.txt".format(ii))['col4'], \ - ascii.read("templates/L{}H_b.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 1].plot(wavelength_H, flux_H, c='k') - axes2[jj, 1].axis('off') - - - #K Band - axes2[jj, 2].plot(ascii.read("templates/L{}K_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_b.txt".format(ii))['col2'], c='red') - axes2[jj, 2].fill_between(ascii.read("templates/L{}K_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_b.txt".format(ii))['col4'], \ - ascii.read("templates/L{}K_b.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 2].plot(wavelength_K, flux_K, c='k') - axes2[jj, 2].axis('off') - - - #All Together Now! This is where the Kirkpatrick 10 one comes in. - temp_hdulist = fits.open(beta_NIR_standards[ii]) - temp_spectrum = temp_hdulist[0] - temp_wavelength = temp_spectrum.data[0] - temp_flux = temp_spectrum.data[1] - - temp_norm_flux_array=[] - for kk in range(len(temp_wavelength)): - if temp_wavelength[kk] >= 1.28 and temp_wavelength[kk] <= 1.39: - temp_norm_flux_array.append(temp_flux[kk]) - temp_norm_flux_array=np.array(temp_norm_flux_array) - - temp_wavelength=np.array(temp_wavelength) - temp_flux=np.array(temp_flux) - temp_norm_flux=temp_flux/np.mean(temp_norm_flux_array) - - - axes2[jj, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[jj, 3].plot(wavelength, norm_flux, c='k') - axes2[jj, 3].axis('off') - - fig2.savefig('new_types/' + file_name[12:-5] + r'_L{}b'.format(type_number)) + self.wavelength_J = Data(file_name).wavelength_J + self.flux_J = Data(file_name).flux_J + self.wavelength_H = Data(file_name).wavelength_H + self.flux_H = Data(file_name).flux_H + self. wavelength_K = Data(file_name).wavelength_K + self.flux_K = Data(file_name).flux_K + self.wavelength = Data(file_name).wavelength + self.norm_flux = Data(file_name).norm_flux + #Define the other variables + self.type_number = type_number + self.NIR_standards = NIR_standards - elif event.key == 'ctrl+1': - type_number = int(event.key[-1]) - #Create the Plots - - fig2, axes2 = plt.subplots(figsize=(15,45), - nrows=3, ncols=4, sharex=False, sharey=False, - gridspec_kw={'width_ratios':[1,1,1,3]} - ) - - for jj, ii in zip([0,1], [type_number-1, type_number]): - ##J Band - axes2[jj, 0].plot(ascii.read("templates/L{}J_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_b.txt".format(ii))['col2'], c='red') - axes2[jj, 0].fill_between(ascii.read("templates/L{}J_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_b.txt".format(ii))['col4'], \ - ascii.read("templates/L{}J_b.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 0].plot(wavelength_J, flux_J, c='k') - axes2[jj, 0].annotate(r'L{}$\beta$'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') - axes2[jj, 0].set_ylim([-0.5, 2]) - axes2[jj, 0].axis('off') - - #H Band - axes2[jj, 1].plot(ascii.read("templates/L{}H_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_b.txt".format(ii))['col2'], c='red') - axes2[jj, 1].fill_between(ascii.read("templates/L{}H_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_b.txt".format(ii))['col4'], \ - ascii.read("templates/L{}H_b.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 1].plot(wavelength_H, flux_H, c='k') - axes2[jj, 1].axis('off') - - - #K Band - axes2[jj, 2].plot(ascii.read("templates/L{}K_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_b.txt".format(ii))['col2'], c='red') - axes2[jj, 2].fill_between(ascii.read("templates/L{}K_b.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_b.txt".format(ii))['col4'], \ - ascii.read("templates/L{}K_b.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 2].plot(wavelength_K, flux_K, c='k') - axes2[jj, 2].axis('off') - - - #All Together Now! This is where the Kirkpatrick 10 one comes in. - temp_hdulist = fits.open(beta_NIR_standards[jj]) - temp_spectrum = temp_hdulist[0] - temp_wavelength = temp_spectrum.data[0] - temp_flux = temp_spectrum.data[1] - - temp_norm_flux_array=[] - for kk in range(len(temp_wavelength)): - if temp_wavelength[kk] >= 1.28 and temp_wavelength[kk] <= 1.39: - temp_norm_flux_array.append(temp_flux[kk]) - temp_norm_flux_array=np.array(temp_norm_flux_array) - - temp_wavelength=np.array(temp_wavelength) - temp_flux=np.array(temp_flux) - temp_norm_flux=temp_flux/np.mean(temp_norm_flux_array) - - - axes2[jj, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[jj, 3].plot(wavelength, norm_flux, c='k') - axes2[jj, 3].axis('off') - - #Finish with L2 beta template - axes2[2, 0].annotate(r'L2$\beta$', xy=(0.1, 0.8), xycoords='axes fraction', color='k') - for ii in range(3): - axes2[2, ii].axis('off') - - temp_hdulist = fits.open("spectra/T0_2M0423_T0.fits") #this needs to be fixed to L2beta - temp_spectrum = temp_hdulist[0] - temp_wavelength = temp_spectrum.data[0] - temp_flux = temp_spectrum.data[1] - temp_norm_flux_array=[] - for kk in range(len(temp_wavelength)): - if temp_wavelength[kk] >= 1.28 and temp_wavelength[kk] <= 1.39: - temp_norm_flux_array.append(temp_flux[kk]) - temp_norm_flux_array=np.array(temp_norm_flux_array) - temp_wavelength=np.array(temp_wavelength) - temp_flux=np.array(temp_flux) - temp_norm_flux=temp_flux/np.mean(temp_norm_flux_array) - - axes2[2, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[2, 3].plot(wavelength, norm_flux, c='k') - axes2[2, 3].axis('off') - - fig2.savefig('new_types/' + file_name[12:-5] + r'_L{}b'.format(type_number)) + def bracketed_plot(self, gravity_type): #This is for bracketed plots that are not first or last - - ##============== - #For gamma gravity options, uses alt+int - ##============== - - elif event.key == 'alt+0': - type_number = int(event.key[-1]) - - #Create the Plots - - fig2, axes2 = plt.subplots(figsize=(15,45), - nrows=3, ncols=4, sharex=False, sharey=False, - gridspec_kw={'width_ratios':[1,1,1,3]} - ) - - #Begin with the M9 template and then iterate over the rest - axes2[0, 0].annotate(r'M9$\gamma$', xy=(0.1, 0.8), xycoords='axes fraction', color='k') - for ii in range(3): - axes2[0, ii].axis('off') - - temp_hdulist = fits.open("spectra/M9V_LHS2924.fits") #this template needs to be fixed - temp_spectrum = temp_hdulist[0] - temp_wavelength = temp_spectrum.data[0] - temp_flux = temp_spectrum.data[1] - temp_norm_flux_array=[] - for kk in range(len(temp_wavelength)): - if temp_wavelength[kk] >= 1.28 and temp_wavelength[kk] <= 1.39: - temp_norm_flux_array.append(temp_flux[kk]) - temp_norm_flux_array=np.array(temp_norm_flux_array) - - temp_wavelength=np.array(temp_wavelength) - temp_flux=np.array(temp_flux) - temp_norm_flux=temp_flux/np.mean(temp_norm_flux_array) - axes2[0, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[0, 3].plot(wavelength, norm_flux, c='k') - axes2[0, 3].axis('off') - - for jj, ii in zip([1,2], [type_number, type_number+1]): - ##J Band - axes2[jj, 0].plot(ascii.read("templates/L{}J_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_g.txt".format(ii))['col2'], c='red') - axes2[jj, 0].fill_between(ascii.read("templates/L{}J_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_g.txt".format(ii))['col4'], \ - ascii.read("templates/L{}J_g.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 0].plot(wavelength_J, flux_J, c='k') - axes2[jj, 0].annotate(r'L{}$\gamma$'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') - axes2[jj, 0].set_ylim([-0.5, 2]) - axes2[jj, 0].axis('off') - - #H Band - axes2[jj, 1].plot(ascii.read("templates/L{}H_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_g.txt".format(ii))['col2'], c='red') - axes2[jj, 1].fill_between(ascii.read("templates/L{}H_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_g.txt".format(ii))['col4'], \ - ascii.read("templates/L{}H_g.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 1].plot(wavelength_H, flux_H, c='k') - axes2[jj, 1].axis('off') - - - #K Band - axes2[jj, 2].plot(ascii.read("templates/L{}K_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_g.txt".format(ii))['col2'], c='red') - axes2[jj, 2].fill_between(ascii.read("templates/L{}K_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_g.txt".format(ii))['col4'], \ - ascii.read("templates/L{}K_g.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 2].plot(wavelength_K, flux_K, c='k') - axes2[jj, 2].axis('off') - - - #All Together Now! This is where the Kirkpatrick 10 one comes in. - temp_hdulist = fits.open(gamma_NIR_standards[ii]) - temp_spectrum = temp_hdulist[0] - temp_wavelength = temp_spectrum.data[0] - temp_flux = temp_spectrum.data[1] - - temp_norm_flux_array=[] - for kk in range(len(temp_wavelength)): - if temp_wavelength[kk] >= 1.28 and temp_wavelength[kk] <= 1.39: - temp_norm_flux_array.append(temp_flux[kk]) - temp_norm_flux_array=np.array(temp_norm_flux_array) - - temp_wavelength=np.array(temp_wavelength) - temp_flux=np.array(temp_flux) - temp_norm_flux=temp_flux/np.mean(temp_norm_flux_array) - - - axes2[jj, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[jj, 3].plot(wavelength, norm_flux, c='k') - axes2[jj, 3].axis('off') - - fig2.savefig('new_types/' + file_name[12:-5] + r'_L{}g'.format(type_number)) - - - elif event.key == 'alt+1' or event.key == 'alt+2' or event.key =='alt+3': - type_number = int(event.key[-1]) - - #Create the Plots - fig2, axes2 = plt.subplots(figsize=(15,45), - nrows=3, ncols=4, sharex=False, sharey=False, - gridspec_kw={'width_ratios':[1,1,1,3]}, - ) - - for jj, ii in zip([0,1,2], [type_number-1, type_number, type_number+1]): - ##J Band - axes2[jj, 0].plot(ascii.read("templates/L{}J_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_g.txt".format(ii))['col2'], c='red') - axes2[jj, 0].fill_between(ascii.read("templates/L{}J_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_g.txt".format(ii))['col4'], \ - ascii.read("templates/L{}J_g.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 0].plot(wavelength_J, flux_J, c='k') - axes2[jj, 0].annotate(r'L{}$\gamma$'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') - axes2[jj, 0].set_ylim([-0.5, 2]) - axes2[jj, 0].axis('off') - - #H Band - axes2[jj, 1].plot(ascii.read("templates/L{}H_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_g.txt".format(ii))['col2'], c='red') - axes2[jj, 1].fill_between(ascii.read("templates/L{}H_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_g.txt".format(ii))['col4'], \ - ascii.read("templates/L{}H_g.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 1].plot(wavelength_H, flux_H, c='k') - axes2[jj, 1].axis('off') - - - #K Band - axes2[jj, 2].plot(ascii.read("templates/L{}K_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_g.txt".format(ii))['col2'], c='red') - axes2[jj, 2].fill_between(ascii.read("templates/L{}K_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_g.txt".format(ii))['col4'], \ - ascii.read("templates/L{}K_g.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 2].plot(wavelength_K, flux_K, c='k') - axes2[jj, 2].axis('off') - - - #All Together Now! This is where the Kirkpatrick 10 one comes in. - temp_hdulist = fits.open(gamma_NIR_standards[ii]) - temp_spectrum = temp_hdulist[0] - temp_wavelength = temp_spectrum.data[0] - temp_flux = temp_spectrum.data[1] - - temp_norm_flux_array=[] - for kk in range(len(temp_wavelength)): - if temp_wavelength[kk] >= 1.28 and temp_wavelength[kk] <= 1.39: - temp_norm_flux_array.append(temp_flux[kk]) - temp_norm_flux_array=np.array(temp_norm_flux_array) - - temp_wavelength=np.array(temp_wavelength) - temp_flux=np.array(temp_flux) - temp_norm_flux=temp_flux/np.mean(temp_norm_flux_array) - - - axes2[jj, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[jj, 3].plot(wavelength, norm_flux, c='k') - axes2[jj, 3].axis('off') - - fig2.savefig('new_types/' + file_name[12:-5] + r'_L{}g'.format(type_number)) - - - elif event.key == 'alt+4': - type_number = int(event.key[-1]) - - #Create the Plots - - fig2, axes2 = plt.subplots(figsize=(11,25), - nrows=3, ncols=4, sharex=False, sharey=False, - gridspec_kw={'width_ratios':[1,1,1,3]} - ) - - for jj, ii in zip([0,1], [type_number-1, type_number]): - ##J Band - axes2[jj, 0].plot(ascii.read("templates/L{}J_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_g.txt".format(ii))['col2'], c='red') - axes2[jj, 0].fill_between(ascii.read("templates/L{}J_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_g.txt".format(ii))['col4'], \ - ascii.read("templates/L{}J_g.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 0].plot(wavelength_J, flux_J, c='k') - axes2[jj, 0].annotate(r'L{}$\gamma$'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') - axes2[jj, 0].set_ylim([-0.5, 2]) - axes2[jj, 0].axis('off') - - #H Band - axes2[jj, 1].plot(ascii.read("templates/L{}H_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_g.txt".format(ii))['col2'], c='red') - axes2[jj, 1].fill_between(ascii.read("templates/L{}H_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_g.txt".format(ii))['col4'], \ - ascii.read("templates/L{}H_g.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 1].plot(wavelength_H, flux_H, c='k') - axes2[jj, 1].axis('off') - - - #K Band - axes2[jj, 2].plot(ascii.read("templates/L{}K_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_g.txt".format(ii))['col2'], c='red') - axes2[jj, 2].fill_between(ascii.read("templates/L{}K_g.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_g.txt".format(ii))['col4'], \ - ascii.read("templates/L{}K_g.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 2].plot(wavelength_K, flux_K, c='k') - axes2[jj, 2].axis('off') - - - #All Together Now! This is where the Kirkpatrick 10 one comes in. - temp_hdulist = fits.open(gamma_NIR_standards[ii]) - temp_spectrum = temp_hdulist[0] - temp_wavelength = temp_spectrum.data[0] - temp_flux = temp_spectrum.data[1] - - temp_norm_flux_array=[] - for kk in range(len(temp_wavelength)): - if temp_wavelength[kk] >= 1.28 and temp_wavelength[kk] <= 1.39: - temp_norm_flux_array.append(temp_flux[kk]) - temp_norm_flux_array=np.array(temp_norm_flux_array) - - temp_wavelength=np.array(temp_wavelength) - temp_flux=np.array(temp_flux) - temp_norm_flux=temp_flux/np.mean(temp_norm_flux_array) - - - axes2[jj, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[jj, 3].plot(wavelength, norm_flux, c='k') - axes2[jj, 3].axis('off') - - #Finish with L5 gamma template - axes2[2, 0].annotate(r'L5$\gamma$', xy=(0.1, 0.8), xycoords='axes fraction', color='k') - for ii in range(3): - axes2[2, ii].axis('off') - - temp_hdulist = fits.open("spectra/T0_2M0423_T0.fits") #this needs to be fixed to L5gamma - temp_spectrum = temp_hdulist[0] - temp_wavelength = temp_spectrum.data[0] - temp_flux = temp_spectrum.data[1] - temp_norm_flux_array=[] - for kk in range(len(temp_wavelength)): - if temp_wavelength[kk] >= 1.28 and temp_wavelength[kk] <= 1.39: - temp_norm_flux_array.append(temp_flux[kk]) - temp_norm_flux_array=np.array(temp_norm_flux_array) - temp_wavelength=np.array(temp_wavelength) - temp_flux=np.array(temp_flux) - temp_norm_flux=temp_flux/np.mean(temp_norm_flux_array) - - axes2[2, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[2, 3].plot(wavelength, norm_flux, c='k') - axes2[2, 3].axis('off') - fig2.savefig('new_types/' + file_name[12:-5] + r'_L{}g'.format(type_number)) - - - fig1.canvas.draw() - - fig1.canvas.mpl_disconnect(fig1.canvas.manager.key_press_handler_id) - fig1.canvas.mpl_connect('key_press_event', on_key_press) - -def check_type(file_name, type_number) : ''' - Ellianna Schwab, Kelle Cruz - - check_type provides plots to qualitatively spectral type L-type brown dwarfs in NIR regime. - Typing methods are taken from Cruz et al. 2017 and show comparison to Kirkpatrick 2010 typing templates. - - To use input path to file_name in a string followed by candidate spectral type as an integer. - Cruz et al. 2017 templates are shown band-by-band followed by Kirkpatrick 2010 - templates of the overall NIR spectrum. To save the plot, hit 's'. + This creates the bracketed plots that pop up after key-press, as long as they are bracketed by L dwarfs. ''' - import numpy as np - import matplotlib.pyplot as plt - from astropy.io import fits - from astropy.io import ascii - - hdulist = fits.open(file_name) - spectrum = hdulist[0] - wavelength = spectrum.data[0] - flux = spectrum.data[1] - - - #Create J, H and K bands for spectrum - - wavelength_J = [] - flux_J = [] - wavelength_H = [] - flux_H = [] - wavelength_K = [] - flux_K = [] - for jj in range(len(wavelength)): - if wavelength[jj] >= 0.87 and wavelength[jj] <= 1.39: - wavelength_J.append(wavelength[jj]) - flux_J.append(flux[jj]) - elif wavelength[jj] >= 1.41 and wavelength[jj] <= 1.89: - wavelength_H.append(wavelength[jj]) - flux_H.append(flux[jj]) - elif wavelength[jj] >= 1.91 and wavelength[jj] <=2.39: - wavelength_K.append(wavelength[jj]) - flux_K.append(flux[jj]) - - - #Normalize Each Band - - wavelength_J = np.array(wavelength_J) - flux_J = np.array(flux_J) - wavelength_H = np.array(wavelength_H) - flux_H = np.array(flux_H) - wavelength_K = np.array(wavelength_K) - flux_K = np.array(flux_K) - - flux_J = flux_J/np.mean(flux_J) - flux_H = flux_H/np.mean(flux_H) - flux_K = flux_K/np.mean(flux_K) - - - #Normalize the Overall Spectra to Kirkpatrick Normalization - norm_flux_array=[] - for jj in range(len(wavelength)): - if wavelength[jj] >= 1.28 and wavelength[jj] <= 1.39: - norm_flux_array.append(flux[jj]) - norm_flux_array=np.array(norm_flux_array) - - wavelength=np.array(wavelength) - flux=np.array(flux) - norm_flux=flux/np.mean(norm_flux_array) - - - #List the standards, so they can be called # "spectra/nir/prism_0835+1953_20050123_CHI06A.fits", this one doesn't exist? - NIR_standards = ["spectra/nir/U20165_0345+2540_new_w.fits", "spectra/nir/spex_prism_2130-0845_080713.fits", \ - "spectra/nir/U10244_0408-1450.fits", "spectra/nir/u11291_1506+1321_050323.fits", \ - "spectra/nir/U12101_2158-1550_davy.fits", "spectra/nir/spex_prism_2137+0808_U20909.fits", \ - "spectra/nir/U10880.fits", "spectra/nir/u10721_050323.fits", "spectra/nir/2M1632.fits"] - - # If the number is in an easily bracketed part, or 1,2,3,4,5,6,7 - if type_number in range(1,8): - - #Create the Plots - fig2, axes2 = plt.subplots( + #Create the Plots + fig2, axes2 = plt.subplots(figsize=(15,45), nrows=3, ncols=4, sharex=False, sharey=False, - gridspec_kw={'width_ratios':[1,1,1,3]} + gridspec_kw={'width_ratios':[1,1,1,3]}, facecolor='white' ) - for jj, ii in zip([0,1,2], [type_number-1, type_number, type_number+1]): + for jj, ii in zip([0,1,2], [self.type_number-1, self.type_number, self.type_number+1]): + + template_jband = ascii.read("templates/L{}J_{}.txt".format(ii, gravity_type)) + template_hband = ascii.read("templates/L{}H_{}.txt".format(ii, gravity_type)) + template_kband = ascii.read("templates/L{}K_{}.txt".format(ii, gravity_type)) + ##J Band - axes2[jj, 0].plot(ascii.read("templates/L{}J_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col2'], c='red') - axes2[jj, 0].fill_between(ascii.read("templates/L{}J_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 0].plot(wavelength_J, flux_J, c='k') + axes2[jj, 0].plot(template_jband['col1'], template_jband['col2'], c='red') + axes2[jj, 0].fill_between(template_jband['col1'], template_jband['col4'], \ + template_jband['col5'], color='#c6c6c6') + axes2[jj, 0].plot(self.wavelength_J, self.flux_J, c='k') axes2[jj, 0].annotate('L{}'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') axes2[jj, 0].set_ylim([-0.5, 2]) axes2[jj, 0].axis('off') #H Band - axes2[jj, 1].plot(ascii.read("templates/L{}H_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col2'], c='red') - axes2[jj, 1].fill_between(ascii.read("templates/L{}H_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 1].plot(wavelength_H, flux_H, c='k') + axes2[jj, 1].plot(template_hband['col1'], template_hband['col2'], c='red') + axes2[jj, 1].fill_between(template_hband['col1'], template_hband['col4'], \ + template_hband['col5'], color='#c6c6c6') + axes2[jj, 1].plot(self.wavelength_H, self.flux_H, c='k') axes2[jj, 1].axis('off') #K Band - axes2[jj, 2].plot(ascii.read("templates/L{}K_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col2'], c='red') - axes2[jj, 2].fill_between(ascii.read("templates/L{}K_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 2].plot(wavelength_K, flux_K, c='k') + axes2[jj, 2].plot(template_kband['col1'], template_kband['col2'], c='red') + axes2[jj, 2].fill_between(template_kband['col1'], template_kband['col4'], \ + template_kband['col5'], color='#c6c6c6') + axes2[jj, 2].plot(self.wavelength_K, self.flux_K, c='k') axes2[jj, 2].axis('off') #All Together Now! This is where the Kirkpatrick 10 one comes in. - temp_hdulist = fits.open(NIR_standards[ii]) + temp_hdulist = fits.open(self.NIR_standards[ii]) temp_spectrum = temp_hdulist[0] temp_wavelength = temp_spectrum.data[0] temp_flux = temp_spectrum.data[1] @@ -1061,26 +158,30 @@ def check_type(file_name, type_number) : axes2[jj, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[jj, 3].plot(wavelength, norm_flux, c='k') - axes2[jj, 3].set_ylim([0, max(norm_flux) + 0.25]) - axes2[jj, 3].set_xlim([min(wavelength), max(wavelength)]) + axes2[jj, 3].plot(self.wavelength, self.norm_flux, c='k') axes2[jj, 3].axis('off') + + # fig2.savefig('new_types/' + self.file_name[12:-5] + r'_L{}'.format(self.type_number)) - elif type_number == 0: - #Create the Plots + def first_bracketed_plot(self, gravity_type): - fig2, axes2 = plt.subplots( + ''' + This creates the bracketed plots for L0 at all gravities that pop up after key-press. + ''' + + #Create the Plots + fig2, axes2 = plt.subplots(figsize=(15,45), nrows=3, ncols=4, sharex=False, sharey=False, - gridspec_kw={'width_ratios':[1,1,1,3]} + gridspec_kw={'width_ratios':[1,1,1,3]}, facecolor='white' ) - + #Begin with the M9 template and then iterate over the rest axes2[0, 0].annotate('M9', xy=(0.1, 0.8), xycoords='axes fraction', color='k') axes2[0, 0].axis('off') axes2[0, 1].axis('off') axes2[0, 2].axis('off') - temp_hdulist = fits.open("spectra/M9V_LHS2924.fits") + temp_hdulist = fits.open("spectra/M9V_LHS2924.fits") #!!! For now M9 field template used for all gravities temp_spectrum = temp_hdulist[0] temp_wavelength = temp_spectrum.data[0] temp_flux = temp_spectrum.data[1] @@ -1088,51 +189,49 @@ def check_type(file_name, type_number) : for kk in range(len(temp_wavelength)): if temp_wavelength[kk] >= 1.28 and temp_wavelength[kk] <= 1.39: temp_norm_flux_array.append(temp_flux[kk]) - temp_norm_flux_array=np.array(temp_norm_flux_array) + temp_norm_flux_array = np.array(temp_norm_flux_array) temp_wavelength=np.array(temp_wavelength) temp_flux=np.array(temp_flux) temp_norm_flux=temp_flux/np.mean(temp_norm_flux_array) axes2[0, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[0, 3].plot(wavelength, norm_flux, c='k') - axes2[0, 3].set_ylim([0, max(norm_flux) + 0.25]) - axes2[0, 3].set_xlim([min(wavelength), max(wavelength)]) + axes2[0, 3].plot(self.wavelength, self.norm_flux, c='k') axes2[0, 3].axis('off') - for jj, ii in zip([1,2], [type_number, type_number+1]): + + for jj, ii in zip([1,2], [self.type_number, self.type_number+1]): + + template_jband = ascii.read("templates/L{}J_{}.txt".format(ii, gravity_type)) + template_hband = ascii.read("templates/L{}H_{}.txt".format(ii, gravity_type)) + template_kband = ascii.read("templates/L{}K_{}.txt".format(ii, gravity_type)) + ##J Band - axes2[jj, 0].plot(ascii.read("templates/L{}J_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col2'], c='red') - axes2[jj, 0].fill_between(ascii.read("templates/L{}J_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 0].plot(wavelength_J, flux_J, c='k') + axes2[jj, 0].plot(template_jband['col1'], template_jband['col2'], c='red') + axes2[jj, 0].fill_between(template_jband['col1'], template_jband['col4'], \ + template_jband['col5'], color='#c6c6c6') + axes2[jj, 0].plot(self.wavelength_J, self.flux_J, c='k') axes2[jj, 0].annotate('L{}'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') axes2[jj, 0].set_ylim([-0.5, 2]) axes2[jj, 0].axis('off') #H Band - axes2[jj, 1].plot(ascii.read("templates/L{}H_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col2'], c='red') - axes2[jj, 1].fill_between(ascii.read("templates/L{}H_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 1].plot(wavelength_H, flux_H, c='k') + axes2[jj, 1].plot(template_hband['col1'], template_hband['col2'], c='red') + axes2[jj, 1].fill_between(template_hband['col1'], template_hband['col4'], \ + template_hband['col5'], color='#c6c6c6') + axes2[jj, 1].plot(self.wavelength_H, self.flux_H, c='k') axes2[jj, 1].axis('off') #K Band - axes2[jj, 2].plot(ascii.read("templates/L{}K_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col2'], c='red') - axes2[jj, 2].fill_between(ascii.read("templates/L{}K_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 2].plot(wavelength_K, flux_K, c='k') + axes2[jj, 2].plot(template_kband['col1'], template_kband['col2'], c='red') + axes2[jj, 2].fill_between(template_kband['col1'], template_kband['col4'], \ + template_kband['col5'], color='#c6c6c6') + axes2[jj, 2].plot(self.wavelength_K, self.flux_K, c='k') axes2[jj, 2].axis('off') #All Together Now! This is where the Kirkpatrick 10 one comes in. - temp_hdulist = fits.open(NIR_standards[ii]) + temp_hdulist = fits.open(self.NIR_standards[ii]) temp_spectrum = temp_hdulist[0] temp_wavelength = temp_spectrum.data[0] temp_flux = temp_spectrum.data[1] @@ -1149,56 +248,57 @@ def check_type(file_name, type_number) : axes2[jj, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[jj, 3].plot(wavelength, norm_flux, c='k') - axes2[jj, 3].set_ylim([0, max(norm_flux) + 0.25]) - axes2[jj, 3].set_xlim([min(wavelength), max(wavelength)]) + axes2[jj, 3].plot(self.wavelength, self.norm_flux, c='k') axes2[jj, 3].axis('off') - elif type_number == 8: - #List the standards, so they can be called # "spectra/nir/prism_0835+1953_20050123_CHI06A.fits", this one doesn't exist? - NIR_standards = ["spectra/nir/u10721_050323.fits", "spectra/nir/2M1632.fits"] + # fig2.savefig('new_types/' + self.file_name[12:-5] + r'_L{}'.format(self.type_number)) - #Create the Plots + def last_bracketed_plot(self, gravity_type): - fig2, axes2 = plt.subplots( + ''' + This creates the bracketed plots at all gravities that are final in their gravity and that pop up after key-press. + ''' + + #Create the Plots + fig2, axes2 = plt.subplots(figsize=(15,45), nrows=3, ncols=4, sharex=False, sharey=False, - gridspec_kw={'width_ratios':[1,1,1,3]} + gridspec_kw={'width_ratios':[1,1,1,3]}, facecolor='white' ) - for jj, ii in zip([0,1], [type_number-1, type_number]): + for jj, ii in zip([0,1], [self.type_number-1, self.type_number]): + + template_jband = ascii.read("templates/L{}J_{}.txt".format(ii, gravity_type)) + template_hband = ascii.read("templates/L{}H_{}.txt".format(ii, gravity_type)) + template_kband = ascii.read("templates/L{}K_{}.txt".format(ii, gravity_type)) + ##J Band - axes2[jj, 0].plot(ascii.read("templates/L{}J_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col2'], c='red') - axes2[jj, 0].fill_between(ascii.read("templates/L{}J_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}J_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 0].plot(wavelength_J, flux_J, c='k') + axes2[jj, 0].plot(template_jband['col1'], \ + template_jband['col2'], c='red') + axes2[jj, 0].fill_between(template_jband['col1'], template_jband['col4'], \ + template_jband['col5'], color='#c6c6c6') + axes2[jj, 0].plot(self.wavelength_J, self.flux_J, c='k') axes2[jj, 0].annotate('L{}'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') axes2[jj, 0].set_ylim([-0.5, 2]) axes2[jj, 0].axis('off') #H Band - axes2[jj, 1].plot(ascii.read("templates/L{}H_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col2'], c='red') - axes2[jj, 1].fill_between(ascii.read("templates/L{}H_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}H_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 1].plot(wavelength_H, flux_H, c='k') + axes2[jj, 1].plot(template_hband['col1'], template_hband['col2'], c='red') + axes2[jj, 1].fill_between(template_hband['col1'], template_hband['col4'], \ + template_hband['col5'], color='#c6c6c6') + axes2[jj, 1].plot(self.wavelength_H, self.flux_H, c='k') axes2[jj, 1].axis('off') #K Band - axes2[jj, 2].plot(ascii.read("templates/L{}K_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col2'], c='red') - axes2[jj, 2].fill_between(ascii.read("templates/L{}K_f.txt".format(ii))['col1'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col4'], \ - ascii.read("templates/L{}K_f.txt".format(ii))['col5'], color='#c6c6c6') - axes2[jj, 2].plot(wavelength_K, flux_K, c='k') + axes2[jj, 2].plot(template_kband['col1'], template_kband['col2'], c='red') + axes2[jj, 2].fill_between(template_kband['col1'], template_kband['col4'], \ + template_kband['col5'], color='#c6c6c6') + axes2[jj, 2].plot(self.wavelength_K, self.flux_K, c='k') axes2[jj, 2].axis('off') #All Together Now! This is where the Kirkpatrick 10 one comes in. - temp_hdulist = fits.open(NIR_standards[jj]) + temp_hdulist = fits.open(self.NIR_standards[jj]) temp_spectrum = temp_hdulist[0] temp_wavelength = temp_spectrum.data[0] temp_flux = temp_spectrum.data[1] @@ -1215,9 +315,7 @@ def check_type(file_name, type_number) : axes2[jj, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[jj, 3].plot(wavelength, norm_flux, c='k') - axes2[jj, 3].set_ylim([0, max(norm_flux) + 0.25]) - axes2[jj, 3].set_xlim([min(wavelength), max(wavelength)]) + axes2[jj, 3].plot(self.wavelength, self.norm_flux, c='k') axes2[jj, 3].axis('off') #Finish with T0 template @@ -1240,7 +338,265 @@ def check_type(file_name, type_number) : temp_norm_flux=temp_flux/np.mean(temp_norm_flux_array) axes2[2, 3].plot(temp_wavelength, temp_norm_flux, c='red') - axes2[2, 3].plot(wavelength, norm_flux, c='k') - axes2[2, 3].set_ylim([0, max(norm_flux) + 0.25]) - axes2[2, 3].set_xlim([min(wavelength), max(wavelength)]) - axes2[2, 3].axis('off') \ No newline at end of file + axes2[2, 3].plot(self.wavelength, self.norm_flux, c='k') + axes2[2, 3].axis('off') + + # fig2.savefig('new_types/' + self.file_name[12:-5] + r'_L{}'.format(self.type_number)) + + + +### Function definition +def typing_kit(file_name) : + + ''' + Ellianna Schwab, Kelle Cruz + + typing_kit provides plots to qualitatively spectral type L-type brown dwarfs in NIR regime. + Typing methods are taken from Cruz et al. 2017 and offer comparison to Kirkpatrick 2010 typing templates. + + To use input path to file_name in a string. A band-by-band grid of Cruz et al 2017 templates + will be overplotted with the target spectrum. To compare to Kirkpatrick 2010, key in the spectral type + number, '0' - '8'. Cruz et al. 2017 templates are shown band-by-band followed by Kirkpatrick 2010 + templates of the overall NIR spectrum. + ''' + + wavelength_J = Data(file_name).wavelength_J + flux_J = Data(file_name).flux_J + wavelength_H = Data(file_name).wavelength_H + flux_H = Data(file_name).flux_H + wavelength_K = Data(file_name).wavelength_K + flux_K = Data(file_name).flux_K + + + ##=============== + #This defines the initial grid plot + ##=============== + + + fig1, axes1 = plt.subplots(9, 9, figsize=(16,11), facecolor='white') + + + #Create the plots for alpha gravity + + for ii in range(9): + template_jband = ascii.read("templates/L{}J_f.txt".format(ii)) + template_hband = ascii.read("templates/L{}H_f.txt".format(ii)) + template_kband = ascii.read("templates/L{}K_f.txt".format(ii)) + + ##J Band + axes1[ii, 0].plot(template_jband['col1'], template_jband['col2'], c='red') + axes1[ii, 0].fill_between(template_jband['col1'], template_jband['col4'], template_jband['col5'], color='#c6c6c6') + axes1[ii, 0].plot(wavelength_J, flux_J, c='k') #target object + axes1[ii, 0].annotate('L{}'.format(ii), xy=(0.1, 0.9), xycoords='axes fraction', color='k') + axes1[ii, 0].axis('off') + + #H Band + axes1[ii, 1].plot(template_hband['col1'], template_hband['col2'], c='red') + axes1[ii, 1].fill_between(template_hband['col1'], template_hband['col4'], template_hband['col5'], color='#c6c6c6') + axes1[ii, 1].plot(wavelength_H, flux_H, c='k') #target object + axes1[ii, 1].axis('off') + + #K Band + axes1[ii, 2].plot(template_kband['col1'], template_kband['col2'], c='red') + axes1[ii, 2].fill_between(template_kband['col1'], template_kband['col4'], template_kband['col5'], color='#c6c6c6') + axes1[ii, 2].plot(wavelength_K, flux_K, c='k') #target object + axes1[ii, 2].axis('off') + + + #Create the plots for beta gravity + + for ii in range(2): + + template_jband_beta = ascii.read("templates/L{}J_b.txt".format(ii)) + template_hband_beta = ascii.read("templates/L{}H_b.txt".format(ii)) + template_kband_beta = ascii.read("templates/L{}K_b.txt".format(ii)) + + ##J Band + axes1[ii, 3].plot(template_jband_beta['col1'], template_jband_beta['col2'], c='red') + axes1[ii, 3].fill_between(template_jband_beta['col1'], template_jband_beta['col4'], \ + template_jband_beta['col5'], color='#c6c6c6') + axes1[ii, 3].plot(wavelength_J, flux_J, c='k') + axes1[ii, 3].annotate(r'L{}$\beta$'.format(ii), xy=(0.1, 0.9), xycoords='axes fraction', color='k') + axes1[ii, 3].axis('off') + + #H Band + axes1[ii, 4].plot(template_hband_beta['col1'], template_hband_beta['col2'], c='red') + axes1[ii, 4].fill_between(template_hband_beta['col1'], template_hband_beta['col4'], \ + template_hband_beta['col5'], color='#c6c6c6') + axes1[ii, 4].plot(wavelength_H, flux_H, c='k') + axes1[ii, 4].axis('off') + + #K Band + axes1[ii, 5].plot(template_kband_beta['col1'], template_kband_beta['col2'], c='red') + axes1[ii, 5].fill_between(template_kband_beta['col1'], template_kband_beta['col4'], \ + template_kband_beta['col5'], color='#c6c6c6') + axes1[ii, 5].plot(wavelength_K, flux_K, c='k') + axes1[ii, 5].axis('off') + + for ii in range(2,9): + for jj in [3,4,5]: + axes1[ii, jj].axis('off') + + #Create the plots for gamma gravity + + for ii in range(5): + + template_jband_gamma = ascii.read("templates/L{}J_g.txt".format(ii)) + template_hband_gamma = ascii.read("templates/L{}H_g.txt".format(ii)) + template_kband_gamma = ascii.read("templates/L{}K_g.txt".format(ii)) + + ##J Band + axes1[ii, 6].plot(template_jband_gamma['col1'], template_jband_gamma['col2'], c='red') + axes1[ii, 6].fill_between(template_jband_gamma['col1'], template_jband_gamma['col4'], \ + template_jband_gamma['col5'], color='#c6c6c6') + axes1[ii, 6].plot(wavelength_J, flux_J, c='k') + axes1[ii, 6].annotate(r'L{}$\gamma$'.format(ii), xy=(0.1, 0.9), xycoords='axes fraction', color='k') + axes1[ii, 6].axis('off') + + #H Band + axes1[ii, 7].plot(template_hband_gamma['col1'], template_hband_gamma['col2'], c='red') + axes1[ii, 7].fill_between(template_hband_gamma['col1'], template_hband_gamma['col4'], \ + template_hband_gamma['col5'], color='#c6c6c6') + axes1[ii, 7].plot(wavelength_H, flux_H, c='k') + axes1[ii, 7].axis('off') + + #K Band + axes1[ii, 8].plot(template_kband_gamma['col1'], template_kband_gamma['col2'], c='red') + axes1[ii, 8].fill_between(template_kband_gamma['col1'], template_kband_gamma['col4'], \ + template_kband_gamma['col5'], color='#c6c6c6') + axes1[ii, 8].plot(wavelength_K, flux_K, c='k') + axes1[ii, 8].axis('off') + + for ii in range(5,9): + for jj in [6,7,8]: + axes1[ii, jj].axis('off') + + fig1.tight_layout() + + + ##=============== + #This now defines what happens after key_press + ##=============== + + + def on_key_press(event): + + #List the NIR_standards, so they can be called in the plots + NIR_standards = ["spectra/nir/U20165_0345+2540_new_w.fits", "spectra/nir/spex_prism_2130-0845_080713.fits", \ + "spectra/nir/U10244_0408-1450.fits", "spectra/nir/u11291_1506+1321_050323.fits", \ + "spectra/nir/U12101_2158-1550_davy.fits", "spectra/nir/spex_prism_2137+0808_U20909.fits", \ + "spectra/nir/U10880.fits", "spectra/nir/u10721_050323.fits", "spectra/nir/2M1632.fits"] + + beta_NIR_standards = ["spectra/nir/spex_prism_1552+2948_080730.fits", "spectra/nir/U20114_0227-1624.fits"] + + gamma_NIR_standards = ["spectra/nir/spex_prism_0141-4633_040905.fits", "spectra/nir/U10381_0518-2756.fits", \ + "spectra/nir/U10397.fits", "spectra/nir/spex_prism_2208+2921_U40004.fits", \ + "spectra/nir/U20198_2M0501-0010_dagny.fits"] + + ##============== + #First this begins with field gravity options, uses integer keys + ##============== + + # If the key is in an easily bracketed part, or 1,2,3,4,5,6,7 + if event.key in '1234567': + + type_number = int(event.key) + + field_vars = MakePlot(file_name, + type_number, + NIR_standards) + + field_vars.bracketed_plot('f') + + + # For objects bracketed by M dwarf above + elif event.key == '0': + type_number = int(event.key) + + field_vars = MakePlot(file_name, + type_number, + NIR_standards) + + field_vars.first_bracketed_plot('f') + + + # For objects bracketed by T dwarf below + elif event.key == '8': + type_number = int(event.key) + + #List the NIR_standards, so they can be called + NIR_standards = ["spectra/nir/u10721_050323.fits", "spectra/nir/2M1632.fits"] + + field_vars = MakePlot(file_name, + type_number, + NIR_standards) + + field_vars.last_bracketed_plot('f') + + + ##============== + #For beta gravity options, uses ctrl+int + ##============== + + elif event.key == 'ctrl+0': + type_number = int(event.key[-1]) + + beta_vars = MakePlot(file_name, + type_number, + beta_NIR_standards) + + beta_vars.first_bracketed_plot('b') + + + elif event.key == 'ctrl+1': + type_number = int(event.key[-1]) + + beta_vars = MakePlot(file_name, + type_number, + beta_NIR_standards) + + beta_vars.last_bracketed_plot('b') + + + ##============== + #For gamma gravity options, uses alt+int + ##============== + + elif event.key == 'alt+0': + type_number = int(event.key[-1]) + + gamma_vars = MakePlot(file_name, + type_number, + gamma_NIR_standards) + + gamma_vars.first_bracketed_plot('g') + + + elif event.key == 'alt+1' or event.key == 'alt+2' or event.key =='alt+3': + type_number = int(event.key[-1]) + + gamma_vars = MakePlot(file_name, + type_number, + gamma_NIR_standards) + + gamma_vars.bracketed_plot('g') + + + elif event.key == 'alt+4': + type_number = int(event.key[-1]) + + gamma_vars = MakePlot(file_name, + type_number, + gamma_NIR_standards) + + gamma_vars.last_bracketed_plot('g') + + + ##============== + #Close the key_press loop and draw the new figures + ##============== + + fig1.canvas.draw() + + fig1.canvas.mpl_disconnect(fig1.canvas.manager.key_press_handler_id) + fig1.canvas.mpl_connect('key_press_event', on_key_press) #This leaves it open to a second try \ No newline at end of file From 10e6d2d14a4b092867be4a7ff610b6cc924db91a Mon Sep 17 00:00:00 2001 From: elliesch Date: Thu, 11 May 2017 15:56:15 -0400 Subject: [PATCH 11/29] Added exceptions and fixed annotations --- TypeFinder.py | 60 ++++++++++++++++++++++++++++++++++----------------- 1 file changed, 40 insertions(+), 20 deletions(-) diff --git a/TypeFinder.py b/TypeFinder.py index ad0199e..fb2c2c5 100644 --- a/TypeFinder.py +++ b/TypeFinder.py @@ -8,10 +8,10 @@ class Data: def __init__(self, file_name): - ''' - This function splits the data into J-H-K bands and normalizes each band by its average. - It also normalizes a separate copy of the overall spectra to Kirkpatrick '10 normalization specs. - ''' + ''' + This function splits the data into J-H-K bands and normalizes each band by its average. + It also normalizes a separate copy of the overall spectra to Kirkpatrick '10 normalization specs. + ''' hdulist = fits.open(file_name) spectrum = hdulist[0] @@ -77,9 +77,9 @@ class MakePlot: def __init__(self, file_name, type_number, NIR_standards): #This defines often reused variables - ''' - This initializes all the variables necessary to make the on_key_press plots. - ''' + ''' + This initializes all the variables necessary to make the on_key_press plots. + ''' #Can define templates in each one! and can define all the pieces in each one and make multiple plot types :D @@ -99,11 +99,11 @@ def __init__(self, file_name, type_number, NIR_standards): #This defines often r def bracketed_plot(self, gravity_type): #This is for bracketed plots that are not first or last - ''' - This creates the bracketed plots that pop up after key-press, as long as they are bracketed by L dwarfs. - ''' + ''' + This creates the bracketed plots that pop up after key-press, as long as they are bracketed by L dwarfs. + ''' - #Create the Plots + #Create the Plots fig2, axes2 = plt.subplots(figsize=(15,45), nrows=3, ncols=4, sharex=False, sharey=False, gridspec_kw={'width_ratios':[1,1,1,3]}, facecolor='white' @@ -120,7 +120,12 @@ def bracketed_plot(self, gravity_type): #This is for bracketed plots that are no axes2[jj, 0].fill_between(template_jband['col1'], template_jband['col4'], \ template_jband['col5'], color='#c6c6c6') axes2[jj, 0].plot(self.wavelength_J, self.flux_J, c='k') - axes2[jj, 0].annotate('L{}'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') + if gravity_type == 'f': + axes2[jj, 0].annotate('L{}'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') + elif gravity_type == 'b': + axes2[jj, 0].annotate(r'L{}$\beta$'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') + else: + axes2[jj, 0].annotate(r'L{}$\gamma$'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') axes2[jj, 0].set_ylim([-0.5, 2]) axes2[jj, 0].axis('off') @@ -165,9 +170,9 @@ def bracketed_plot(self, gravity_type): #This is for bracketed plots that are no def first_bracketed_plot(self, gravity_type): - ''' - This creates the bracketed plots for L0 at all gravities that pop up after key-press. - ''' + ''' + This creates the bracketed plots for L0 at all gravities that pop up after key-press. + ''' #Create the Plots fig2, axes2 = plt.subplots(figsize=(15,45), @@ -210,7 +215,12 @@ def first_bracketed_plot(self, gravity_type): axes2[jj, 0].fill_between(template_jband['col1'], template_jband['col4'], \ template_jband['col5'], color='#c6c6c6') axes2[jj, 0].plot(self.wavelength_J, self.flux_J, c='k') - axes2[jj, 0].annotate('L{}'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') + if gravity_type == 'f': + axes2[jj, 0].annotate('L{}'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') + elif gravity_type == 'b': + axes2[jj, 0].annotate(r'L{}$\beta$'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') + else: + axes2[jj, 0].annotate(r'L{}$\gamma$'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') axes2[jj, 0].set_ylim([-0.5, 2]) axes2[jj, 0].axis('off') @@ -255,9 +265,9 @@ def first_bracketed_plot(self, gravity_type): def last_bracketed_plot(self, gravity_type): - ''' - This creates the bracketed plots at all gravities that are final in their gravity and that pop up after key-press. - ''' + ''' + This creates the bracketed plots at all gravities that are final in their gravity and that pop up after key-press. + ''' #Create the Plots fig2, axes2 = plt.subplots(figsize=(15,45), @@ -277,7 +287,12 @@ def last_bracketed_plot(self, gravity_type): axes2[jj, 0].fill_between(template_jband['col1'], template_jband['col4'], \ template_jband['col5'], color='#c6c6c6') axes2[jj, 0].plot(self.wavelength_J, self.flux_J, c='k') - axes2[jj, 0].annotate('L{}'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') + if gravity_type == 'f': + axes2[jj, 0].annotate('L{}'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') + elif gravity_type == 'b': + axes2[jj, 0].annotate(r'L{}$\beta$'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') + else: + axes2[jj, 0].annotate(r'L{}$\gamma$'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') axes2[jj, 0].set_ylim([-0.5, 2]) axes2[jj, 0].axis('off') @@ -590,6 +605,11 @@ def on_key_press(event): gamma_NIR_standards) gamma_vars.last_bracketed_plot('g') + + + #Raise an error message if any other key is pressed + elif event.key in 'abcdefghijklmnopqrstuvwxyz`-=[];,.': + raise Exception('Invalid Key. Try any int in range(10) for field, ctrl + int in range(1) for beta, or alt + int in range(4) for gamma.') ##============== From 3affd939257a2e996e1fd9589129f1b7ab713ddf Mon Sep 17 00:00:00 2001 From: elliesch Date: Thu, 11 May 2017 17:45:02 -0400 Subject: [PATCH 12/29] added boundary condition test --- Tests/test_typing_kit.py | 25 +++++++++++++++++++++++++ 1 file changed, 25 insertions(+) create mode 100644 Tests/test_typing_kit.py diff --git a/Tests/test_typing_kit.py b/Tests/test_typing_kit.py new file mode 100644 index 0000000..ce7736b --- /dev/null +++ b/Tests/test_typing_kit.py @@ -0,0 +1,25 @@ +import unittest +from TypeFinder import * + +class TestData(unittest.TestCase): + + def setUp(self): + ''' + This defines data to test + ''' + self.data = Data('some_test_file') + + def test_init(self): + ''' + This tests that the J-H-K arrays have been sorted properly by checking their boundary conds. + ''' + + self.assertTrue([ii >= 0.87 and ii <= 1.39 for ii in self.data.wavelength_J]) + self.assertTrue([ii >= 1.41 and ii <= 1.89 for ii in self.data.wavelength_H]) + self.assertTrue([ii >= 1.91 and ii <= 2.39 for ii in self.data.wavelength_K]) + + +### FUTURE TESTS ### +# 1. Test that the x-axis boundaries are logical on input data for J-H-K bands using get_axis +# 2. Test that pressing a letter key returns the proper error +# 3. Test that a png shows up when the correct key is pressed \ No newline at end of file From fcb326fe534ba47cd84f6509766a8e7afe002b88 Mon Sep 17 00:00:00 2001 From: elliesch Date: Fri, 12 May 2017 00:00:17 -0400 Subject: [PATCH 13/29] Added astropy table functionality to function --- TypeFinder.py | 104 +++++++++++++++++++++++++++++++++----------------- 1 file changed, 68 insertions(+), 36 deletions(-) diff --git a/TypeFinder.py b/TypeFinder.py index fb2c2c5..6bada57 100644 --- a/TypeFinder.py +++ b/TypeFinder.py @@ -1,8 +1,10 @@ import numpy as np import matplotlib.pyplot as plt from pylab import * +from collections import defaultdict from astropy.io import fits from astropy.io import ascii +from astropy.table import Table, Column class Data: @@ -66,7 +68,7 @@ def __init__(self, file_name): self.flux_J = flux_J self.wavelength_H = wavelength_H self.flux_H = flux_H - self. wavelength_K = wavelength_K + self.wavelength_K = wavelength_K self.flux_K = flux_K self.wavelength = wavelength self.norm_flux = norm_flux @@ -375,12 +377,50 @@ def typing_kit(file_name) : templates of the overall NIR spectrum. ''' + + ##=============== + #This defines the input spectrum data arrays + ##=============== + + wavelength_J = Data(file_name).wavelength_J flux_J = Data(file_name).flux_J wavelength_H = Data(file_name).wavelength_H flux_H = Data(file_name).flux_H wavelength_K = Data(file_name).wavelength_K flux_K = Data(file_name).flux_K + + + ##=============== + #This imports Cruz et al. 2017 templates into astropy tables + ##=============== + + #Beginning with the field templates. J-H-K bands are all diff lengths and so need their own table + field_templates = defaultdict(dict) + + for band in ['J', 'H', 'K']: + for spectype in range(9): + band_data = ascii.read("templates/L{}{}_f.txt".format(spectype, band)) + field_templates[band][spectype] = Table([band_data['col1'], band_data['col2'], band_data['col4'], band_data['col5']], \ + names = ('wavelength', 'flux', 'upper', 'lower')) + + #Next with beta templates + beta_templates = defaultdict(dict) + + for band in ['J', 'H', 'K']: + for spectype in range(2): + band_data = ascii.read("templates/L{}{}_b.txt".format(spectype, band)) + beta_templates[band][spectype] = Table([band_data['col1'], band_data['col2'], band_data['col4'], band_data['col5']], \ + names = ('wavelength', 'flux', 'upper', 'lower')) + + #Next with gamma templates + gamma_templates = defaultdict(dict) + + for band in ['J', 'H', 'K']: + for spectype in range(5): + band_data = ascii.read("templates/L{}{}_g.txt".format(spectype, band)) + gamma_templates[band][spectype] = Table([band_data['col1'], band_data['col2'], band_data['col4'], band_data['col5']], \ + names = ('wavelength', 'flux', 'upper', 'lower')) ##=============== @@ -394,26 +434,26 @@ def typing_kit(file_name) : #Create the plots for alpha gravity for ii in range(9): - template_jband = ascii.read("templates/L{}J_f.txt".format(ii)) - template_hband = ascii.read("templates/L{}H_f.txt".format(ii)) - template_kband = ascii.read("templates/L{}K_f.txt".format(ii)) ##J Band - axes1[ii, 0].plot(template_jband['col1'], template_jband['col2'], c='red') - axes1[ii, 0].fill_between(template_jband['col1'], template_jband['col4'], template_jband['col5'], color='#c6c6c6') + axes1[ii, 0].plot((field_templates['J'][ii])['wavelength'], (field_templates['J'][ii])['flux'], c='red') + axes1[ii, 0].fill_between((field_templates['J'][ii])['wavelength'], (field_templates['J'][ii])['upper'], \ + (field_templates['J'][ii])['lower'], color='#c6c6c6') axes1[ii, 0].plot(wavelength_J, flux_J, c='k') #target object axes1[ii, 0].annotate('L{}'.format(ii), xy=(0.1, 0.9), xycoords='axes fraction', color='k') axes1[ii, 0].axis('off') #H Band - axes1[ii, 1].plot(template_hband['col1'], template_hband['col2'], c='red') - axes1[ii, 1].fill_between(template_hband['col1'], template_hband['col4'], template_hband['col5'], color='#c6c6c6') + axes1[ii, 1].plot((field_templates['H'][ii])['wavelength'], (field_templates['H'][ii])['flux'], c='red') + axes1[ii, 1].fill_between((field_templates['H'][ii])['wavelength'], (field_templates['H'][ii])['upper'], \ + (field_templates['H'][ii])['lower'], color='#c6c6c6') axes1[ii, 1].plot(wavelength_H, flux_H, c='k') #target object axes1[ii, 1].axis('off') #K Band - axes1[ii, 2].plot(template_kband['col1'], template_kband['col2'], c='red') - axes1[ii, 2].fill_between(template_kband['col1'], template_kband['col4'], template_kband['col5'], color='#c6c6c6') + axes1[ii, 2].plot((field_templates['K'][ii])['wavelength'], (field_templates['K'][ii])['flux'], c='red') + axes1[ii, 2].fill_between((field_templates['K'][ii])['wavelength'], (field_templates['K'][ii])['upper'], \ + (field_templates['K'][ii])['lower'], color='#c6c6c6') axes1[ii, 2].plot(wavelength_K, flux_K, c='k') #target object axes1[ii, 2].axis('off') @@ -422,29 +462,25 @@ def typing_kit(file_name) : for ii in range(2): - template_jband_beta = ascii.read("templates/L{}J_b.txt".format(ii)) - template_hband_beta = ascii.read("templates/L{}H_b.txt".format(ii)) - template_kband_beta = ascii.read("templates/L{}K_b.txt".format(ii)) - ##J Band - axes1[ii, 3].plot(template_jband_beta['col1'], template_jband_beta['col2'], c='red') - axes1[ii, 3].fill_between(template_jband_beta['col1'], template_jband_beta['col4'], \ - template_jband_beta['col5'], color='#c6c6c6') + axes1[ii, 3].plot((beta_templates['J'][ii])['wavelength'], (beta_templates['J'][ii])['flux'], c='red') + axes1[ii, 3].fill_between((beta_templates['J'][ii])['wavelength'], (beta_templates['J'][ii])['upper'], \ + (beta_templates['J'][ii])['lower'], color='#c6c6c6') axes1[ii, 3].plot(wavelength_J, flux_J, c='k') axes1[ii, 3].annotate(r'L{}$\beta$'.format(ii), xy=(0.1, 0.9), xycoords='axes fraction', color='k') axes1[ii, 3].axis('off') #H Band - axes1[ii, 4].plot(template_hband_beta['col1'], template_hband_beta['col2'], c='red') - axes1[ii, 4].fill_between(template_hband_beta['col1'], template_hband_beta['col4'], \ - template_hband_beta['col5'], color='#c6c6c6') + axes1[ii, 4].plot((beta_templates['H'][ii])['wavelength'], (beta_templates['H'][ii])['flux'], c='red') + axes1[ii, 4].fill_between((beta_templates['H'][ii])['wavelength'], (beta_templates['H'][ii])['upper'], \ + (beta_templates['H'][ii])['lower'], color='#c6c6c6') axes1[ii, 4].plot(wavelength_H, flux_H, c='k') axes1[ii, 4].axis('off') #K Band - axes1[ii, 5].plot(template_kband_beta['col1'], template_kband_beta['col2'], c='red') - axes1[ii, 5].fill_between(template_kband_beta['col1'], template_kband_beta['col4'], \ - template_kband_beta['col5'], color='#c6c6c6') + axes1[ii, 5].plot((beta_templates['K'][ii])['wavelength'], (beta_templates['K'][ii])['flux'], c='red') + axes1[ii, 5].fill_between((beta_templates['K'][ii])['wavelength'], (beta_templates['K'][ii])['upper'], \ + (beta_templates['K'][ii])['lower'], color='#c6c6c6') axes1[ii, 5].plot(wavelength_K, flux_K, c='k') axes1[ii, 5].axis('off') @@ -456,29 +492,25 @@ def typing_kit(file_name) : for ii in range(5): - template_jband_gamma = ascii.read("templates/L{}J_g.txt".format(ii)) - template_hband_gamma = ascii.read("templates/L{}H_g.txt".format(ii)) - template_kband_gamma = ascii.read("templates/L{}K_g.txt".format(ii)) - ##J Band - axes1[ii, 6].plot(template_jband_gamma['col1'], template_jband_gamma['col2'], c='red') - axes1[ii, 6].fill_between(template_jband_gamma['col1'], template_jband_gamma['col4'], \ - template_jband_gamma['col5'], color='#c6c6c6') + axes1[ii, 6].plot((gamma_templates['J'][ii])['wavelength'], (gamma_templates['J'][ii])['flux'], c='red') + axes1[ii, 6].fill_between((gamma_templates['J'][ii])['wavelength'], (gamma_templates['J'][ii])['upper'], \ + (gamma_templates['J'][ii])['lower'], color='#c6c6c6') axes1[ii, 6].plot(wavelength_J, flux_J, c='k') axes1[ii, 6].annotate(r'L{}$\gamma$'.format(ii), xy=(0.1, 0.9), xycoords='axes fraction', color='k') axes1[ii, 6].axis('off') #H Band - axes1[ii, 7].plot(template_hband_gamma['col1'], template_hband_gamma['col2'], c='red') - axes1[ii, 7].fill_between(template_hband_gamma['col1'], template_hband_gamma['col4'], \ - template_hband_gamma['col5'], color='#c6c6c6') + axes1[ii, 7].plot((gamma_templates['H'][ii])['wavelength'], (gamma_templates['H'][ii])['flux'], c='red') + axes1[ii, 7].fill_between((gamma_templates['H'][ii])['wavelength'], (gamma_templates['H'][ii])['upper'], \ + (gamma_templates['H'][ii])['lower'], color='#c6c6c6') axes1[ii, 7].plot(wavelength_H, flux_H, c='k') axes1[ii, 7].axis('off') #K Band - axes1[ii, 8].plot(template_kband_gamma['col1'], template_kband_gamma['col2'], c='red') - axes1[ii, 8].fill_between(template_kband_gamma['col1'], template_kband_gamma['col4'], \ - template_kband_gamma['col5'], color='#c6c6c6') + axes1[ii, 8].plot((gamma_templates['K'][ii])['wavelength'], (gamma_templates['K'][ii])['flux'], c='red') + axes1[ii, 8].fill_between((gamma_templates['K'][ii])['wavelength'], (gamma_templates['K'][ii])['upper'], \ + (gamma_templates['K'][ii])['lower'], color='#c6c6c6') axes1[ii, 8].plot(wavelength_K, flux_K, c='k') axes1[ii, 8].axis('off') From 4b7c9d4657eaf13a83555582fcdb51d9edc13239 Mon Sep 17 00:00:00 2001 From: elliesch Date: Fri, 12 May 2017 13:11:31 -0400 Subject: [PATCH 14/29] Finished transferring template data to astropy tables --- TypeFinder.py | 170 +++++++++++++++++++++++++++++--------------------- 1 file changed, 98 insertions(+), 72 deletions(-) diff --git a/TypeFinder.py b/TypeFinder.py index 6bada57..c498bcf 100644 --- a/TypeFinder.py +++ b/TypeFinder.py @@ -74,6 +74,45 @@ def __init__(self, file_name): self.norm_flux = norm_flux +class Templates: + + def __init__(self): + ''' + This function transfers all the template data from their ascii files into astropy tables. + Templates are those compiled for the analysis in Cruz et al. 2017. + ''' + + #Beginning with the field templates. J-H-K bands are all diff lengths and so need their own table + field_templates = defaultdict(dict) + + for band in ['J', 'H', 'K']: + for spectype in range(9): + band_data = ascii.read("templates/L{}{}_f.txt".format(spectype, band)) + field_templates[band][spectype] = Table([band_data['col1'], band_data['col2'], band_data['col4'], band_data['col5']], \ + names = ('wavelength', 'flux', 'upper', 'lower')) + + #Next with beta templates + beta_templates = defaultdict(dict) + + for band in ['J', 'H', 'K']: + for spectype in range(2): + band_data = ascii.read("templates/L{}{}_b.txt".format(spectype, band)) + beta_templates[band][spectype] = Table([band_data['col1'], band_data['col2'], band_data['col4'], band_data['col5']], \ + names = ('wavelength', 'flux', 'upper', 'lower')) + + #Next with gamma templates + gamma_templates = defaultdict(dict) + + for band in ['J', 'H', 'K']: + for spectype in range(5): + band_data = ascii.read("templates/L{}{}_g.txt".format(spectype, band)) + gamma_templates[band][spectype] = Table([band_data['col1'], band_data['col2'], band_data['col4'], band_data['col5']], \ + names = ('wavelength', 'flux', 'upper', 'lower')) + + self.gamma_templates = gamma_templates + self.beta_templates = beta_templates + self.field_templates = field_templates + class MakePlot: @@ -105,6 +144,13 @@ def bracketed_plot(self, gravity_type): #This is for bracketed plots that are no This creates the bracketed plots that pop up after key-press, as long as they are bracketed by L dwarfs. ''' + if gravity_type == 'f': + templates = Templates.field_templates + elif gravity_type == 'b': + templates = Templates.beta_templates + elif gravity_type == 'g': + templates = Templates.gamma_templates + #Create the Plots fig2, axes2 = plt.subplots(figsize=(15,45), nrows=3, ncols=4, sharex=False, sharey=False, @@ -113,14 +159,10 @@ def bracketed_plot(self, gravity_type): #This is for bracketed plots that are no for jj, ii in zip([0,1,2], [self.type_number-1, self.type_number, self.type_number+1]): - template_jband = ascii.read("templates/L{}J_{}.txt".format(ii, gravity_type)) - template_hband = ascii.read("templates/L{}H_{}.txt".format(ii, gravity_type)) - template_kband = ascii.read("templates/L{}K_{}.txt".format(ii, gravity_type)) - ##J Band - axes2[jj, 0].plot(template_jband['col1'], template_jband['col2'], c='red') - axes2[jj, 0].fill_between(template_jband['col1'], template_jband['col4'], \ - template_jband['col5'], color='#c6c6c6') + axes2[jj, 0].plot((templates['J'][ii])['wavelength'], (templates['J'][ii])['flux'], c='red') + axes2[jj, 0].fill_between((templates['J'][ii])['wavelength'], (templates['J'][ii])['upper'], \ + (templates['J'][ii])['lower'], color='#c6c6c6') axes2[jj, 0].plot(self.wavelength_J, self.flux_J, c='k') if gravity_type == 'f': axes2[jj, 0].annotate('L{}'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') @@ -132,17 +174,17 @@ def bracketed_plot(self, gravity_type): #This is for bracketed plots that are no axes2[jj, 0].axis('off') #H Band - axes2[jj, 1].plot(template_hband['col1'], template_hband['col2'], c='red') - axes2[jj, 1].fill_between(template_hband['col1'], template_hband['col4'], \ - template_hband['col5'], color='#c6c6c6') + axes2[jj, 1].plot((templates['H'][ii])['wavelength'], (templates['H'][ii])['flux'], c='red') + axes2[jj, 1].fill_between((templates['H'][ii])['wavelength'], (templates['H'][ii])['upper'], \ + (templates['H'][ii])['lower'], color='#c6c6c6') axes2[jj, 1].plot(self.wavelength_H, self.flux_H, c='k') axes2[jj, 1].axis('off') #K Band - axes2[jj, 2].plot(template_kband['col1'], template_kband['col2'], c='red') - axes2[jj, 2].fill_between(template_kband['col1'], template_kband['col4'], \ - template_kband['col5'], color='#c6c6c6') + axes2[jj, 2].plot((templates['K'][ii])['wavelength'], (templates['K'][ii])['flux'], c='red') + axes2[jj, 2].fill_between((templates['K'][ii])['wavelength'], (templates['K'][ii])['upper'], \ + (templates['K'][ii])['lower'], color='#c6c6c6') axes2[jj, 2].plot(self.wavelength_K, self.flux_K, c='k') axes2[jj, 2].axis('off') @@ -176,6 +218,13 @@ def first_bracketed_plot(self, gravity_type): This creates the bracketed plots for L0 at all gravities that pop up after key-press. ''' + if gravity_type == 'f': + templates = Templates.field_templates + elif gravity_type == 'b': + templates = Templates.beta_templates + elif gravity_type == 'g': + templates = Templates.gamma_templates + #Create the Plots fig2, axes2 = plt.subplots(figsize=(15,45), nrows=3, ncols=4, sharex=False, sharey=False, @@ -208,14 +257,10 @@ def first_bracketed_plot(self, gravity_type): for jj, ii in zip([1,2], [self.type_number, self.type_number+1]): - template_jband = ascii.read("templates/L{}J_{}.txt".format(ii, gravity_type)) - template_hband = ascii.read("templates/L{}H_{}.txt".format(ii, gravity_type)) - template_kband = ascii.read("templates/L{}K_{}.txt".format(ii, gravity_type)) - ##J Band - axes2[jj, 0].plot(template_jband['col1'], template_jband['col2'], c='red') - axes2[jj, 0].fill_between(template_jband['col1'], template_jband['col4'], \ - template_jband['col5'], color='#c6c6c6') + axes2[jj, 0].plot((templates['J'][ii])['wavelength'], (templates['J'][ii])['flux'], c='red') + axes2[jj, 0].fill_between((templates['J'][ii])['wavelength'], (templates['J'][ii])['upper'], \ + (templates['J'][ii])['lower'], color='#c6c6c6') axes2[jj, 0].plot(self.wavelength_J, self.flux_J, c='k') if gravity_type == 'f': axes2[jj, 0].annotate('L{}'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') @@ -227,17 +272,17 @@ def first_bracketed_plot(self, gravity_type): axes2[jj, 0].axis('off') #H Band - axes2[jj, 1].plot(template_hband['col1'], template_hband['col2'], c='red') - axes2[jj, 1].fill_between(template_hband['col1'], template_hband['col4'], \ - template_hband['col5'], color='#c6c6c6') + axes2[jj, 1].plot((templates['H'][ii])['wavelength'], (templates['H'][ii])['flux'], c='red') + axes2[jj, 1].fill_between((templates['H'][ii])['wavelength'], (templates['H'][ii])['upper'], \ + (templates['H'][ii])['lower'], color='#c6c6c6') axes2[jj, 1].plot(self.wavelength_H, self.flux_H, c='k') axes2[jj, 1].axis('off') #K Band - axes2[jj, 2].plot(template_kband['col1'], template_kband['col2'], c='red') - axes2[jj, 2].fill_between(template_kband['col1'], template_kband['col4'], \ - template_kband['col5'], color='#c6c6c6') + axes2[jj, 2].plot((templates['K'][ii])['wavelength'], (templates['K'][ii])['flux'], c='red') + axes2[jj, 2].fill_between((templates['K'][ii])['wavelength'], (templates['K'][ii])['upper'], \ + (templates['K'][ii])['lower'], color='#c6c6c6') axes2[jj, 2].plot(self.wavelength_K, self.flux_K, c='k') axes2[jj, 2].axis('off') @@ -271,6 +316,13 @@ def last_bracketed_plot(self, gravity_type): This creates the bracketed plots at all gravities that are final in their gravity and that pop up after key-press. ''' + if gravity_type == 'f': + templates = Templates.field_templates + elif gravity_type == 'b': + templates = Templates.beta_templates + elif gravity_type == 'g': + templates = Templates.gamma_templates + #Create the Plots fig2, axes2 = plt.subplots(figsize=(15,45), nrows=3, ncols=4, sharex=False, sharey=False, @@ -279,37 +331,33 @@ def last_bracketed_plot(self, gravity_type): for jj, ii in zip([0,1], [self.type_number-1, self.type_number]): - template_jband = ascii.read("templates/L{}J_{}.txt".format(ii, gravity_type)) - template_hband = ascii.read("templates/L{}H_{}.txt".format(ii, gravity_type)) - template_kband = ascii.read("templates/L{}K_{}.txt".format(ii, gravity_type)) ##J Band - axes2[jj, 0].plot(template_jband['col1'], \ - template_jband['col2'], c='red') - axes2[jj, 0].fill_between(template_jband['col1'], template_jband['col4'], \ - template_jband['col5'], color='#c6c6c6') + axes2[jj, 0].plot((templates['J'][ii])['wavelength'], (templates['J'][ii])['flux'], c='red') + axes2[jj, 0].fill_between((templates['J'][ii])['wavelength'], (templates['J'][ii])['upper'], \ + (templates['J'][ii])['lower'], color='#c6c6c6') axes2[jj, 0].plot(self.wavelength_J, self.flux_J, c='k') if gravity_type == 'f': axes2[jj, 0].annotate('L{}'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') elif gravity_type == 'b': axes2[jj, 0].annotate(r'L{}$\beta$'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') else: - axes2[jj, 0].annotate(r'L{}$\gamma$'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') + axes2[jj, 0].annotate(r'L{}$\gamma$'.format(ii), xy=(0.1, 0.8), xycoords='axes fraction', color='k') axes2[jj, 0].set_ylim([-0.5, 2]) axes2[jj, 0].axis('off') #H Band - axes2[jj, 1].plot(template_hband['col1'], template_hband['col2'], c='red') - axes2[jj, 1].fill_between(template_hband['col1'], template_hband['col4'], \ - template_hband['col5'], color='#c6c6c6') + axes2[jj, 1].plot((templates['H'][ii])['wavelength'], (templates['H'][ii])['flux'], c='red') + axes2[jj, 1].fill_between((templates['H'][ii])['wavelength'], (templates['H'][ii])['upper'], \ + (templates['H'][ii])['lower'], color='#c6c6c6') axes2[jj, 1].plot(self.wavelength_H, self.flux_H, c='k') axes2[jj, 1].axis('off') #K Band - axes2[jj, 2].plot(template_kband['col1'], template_kband['col2'], c='red') - axes2[jj, 2].fill_between(template_kband['col1'], template_kband['col4'], \ - template_kband['col5'], color='#c6c6c6') + axes2[jj, 2].plot((templates['K'][ii])['wavelength'], (templates['K'][ii])['flux'], c='red') + axes2[jj, 2].fill_between((templates['K'][ii])['wavelength'], (templates['K'][ii])['upper'], \ + (templates['K'][ii])['lower'], color='#c6c6c6') axes2[jj, 2].plot(self.wavelength_K, self.flux_K, c='k') axes2[jj, 2].axis('off') @@ -378,6 +426,16 @@ def typing_kit(file_name) : ''' + ##=============== + #This defines the template arrays + ##=============== + + + gamma_templates = Templates.gamma_templates + beta_templates = Templates.beta_templates + field_templates = Templates.field_templates + + ##=============== #This defines the input spectrum data arrays ##=============== @@ -391,38 +449,6 @@ def typing_kit(file_name) : flux_K = Data(file_name).flux_K - ##=============== - #This imports Cruz et al. 2017 templates into astropy tables - ##=============== - - #Beginning with the field templates. J-H-K bands are all diff lengths and so need their own table - field_templates = defaultdict(dict) - - for band in ['J', 'H', 'K']: - for spectype in range(9): - band_data = ascii.read("templates/L{}{}_f.txt".format(spectype, band)) - field_templates[band][spectype] = Table([band_data['col1'], band_data['col2'], band_data['col4'], band_data['col5']], \ - names = ('wavelength', 'flux', 'upper', 'lower')) - - #Next with beta templates - beta_templates = defaultdict(dict) - - for band in ['J', 'H', 'K']: - for spectype in range(2): - band_data = ascii.read("templates/L{}{}_b.txt".format(spectype, band)) - beta_templates[band][spectype] = Table([band_data['col1'], band_data['col2'], band_data['col4'], band_data['col5']], \ - names = ('wavelength', 'flux', 'upper', 'lower')) - - #Next with gamma templates - gamma_templates = defaultdict(dict) - - for band in ['J', 'H', 'K']: - for spectype in range(5): - band_data = ascii.read("templates/L{}{}_g.txt".format(spectype, band)) - gamma_templates[band][spectype] = Table([band_data['col1'], band_data['col2'], band_data['col4'], band_data['col5']], \ - names = ('wavelength', 'flux', 'upper', 'lower')) - - ##=============== #This defines the initial grid plot ##=============== From 99cc960a90ca0ebe8032c0a2f6c0bfae46759a5a Mon Sep 17 00:00:00 2001 From: elliesch Date: Fri, 12 May 2017 13:13:59 -0400 Subject: [PATCH 15/29] updated unit tests to test initializing --- Tests/test_typing_kit.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/Tests/test_typing_kit.py b/Tests/test_typing_kit.py index ce7736b..100b6ea 100644 --- a/Tests/test_typing_kit.py +++ b/Tests/test_typing_kit.py @@ -14,9 +14,9 @@ def test_init(self): This tests that the J-H-K arrays have been sorted properly by checking their boundary conds. ''' - self.assertTrue([ii >= 0.87 and ii <= 1.39 for ii in self.data.wavelength_J]) - self.assertTrue([ii >= 1.41 and ii <= 1.89 for ii in self.data.wavelength_H]) - self.assertTrue([ii >= 1.91 and ii <= 2.39 for ii in self.data.wavelength_K]) + self.assertTrue([wlength >= 0.87 and wlength <= 1.39 for wlength in self.data.wavelength_J]) + self.assertTrue([wlength >= 1.41 and wlength <= 1.89 for wlength in self.data.wavelength_H]) + self.assertTrue([wlength >= 1.91 and wlength <= 2.39 for wlength in self.data.wavelength_K]) ### FUTURE TESTS ### From a6f63c153a9a96679d4db46865d131437e010513 Mon Sep 17 00:00:00 2001 From: Ellie Schwab Date: Fri, 12 May 2017 13:16:19 -0400 Subject: [PATCH 16/29] Delete test_typing_kit.py Moved to another folder --- test_typing_kit.py | 6 ------ 1 file changed, 6 deletions(-) delete mode 100644 test_typing_kit.py diff --git a/test_typing_kit.py b/test_typing_kit.py deleted file mode 100644 index a597dfb..0000000 --- a/test_typing_kit.py +++ /dev/null @@ -1,6 +0,0 @@ -from unittest import TestCase - - -class TestTyping_kit(TestCase): - def test_typing_kit(self): - self.assertTrue(1 == 1) \ No newline at end of file From 858a2bb9c30de43e689daf02ee529ba2ac1d59a8 Mon Sep 17 00:00:00 2001 From: elliesch Date: Fri, 12 May 2017 13:23:28 -0400 Subject: [PATCH 17/29] Fixed bug in calling templates --- TypeFinder.py | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/TypeFinder.py b/TypeFinder.py index c498bcf..7a9ea7a 100644 --- a/TypeFinder.py +++ b/TypeFinder.py @@ -145,11 +145,11 @@ def bracketed_plot(self, gravity_type): #This is for bracketed plots that are no ''' if gravity_type == 'f': - templates = Templates.field_templates + templates = Templates().field_templates elif gravity_type == 'b': - templates = Templates.beta_templates + templates = Templates().beta_templates elif gravity_type == 'g': - templates = Templates.gamma_templates + templates = Templates().gamma_templates #Create the Plots fig2, axes2 = plt.subplots(figsize=(15,45), @@ -219,11 +219,11 @@ def first_bracketed_plot(self, gravity_type): ''' if gravity_type == 'f': - templates = Templates.field_templates + templates = Templates().field_templates elif gravity_type == 'b': - templates = Templates.beta_templates + templates = Templates().beta_templates elif gravity_type == 'g': - templates = Templates.gamma_templates + templates = Templates().gamma_templates #Create the Plots fig2, axes2 = plt.subplots(figsize=(15,45), @@ -317,11 +317,11 @@ def last_bracketed_plot(self, gravity_type): ''' if gravity_type == 'f': - templates = Templates.field_templates + templates = Templates().field_templates elif gravity_type == 'b': - templates = Templates.beta_templates + templates = Templates().beta_templates elif gravity_type == 'g': - templates = Templates.gamma_templates + templates = Templates().gamma_templates #Create the Plots fig2, axes2 = plt.subplots(figsize=(15,45), @@ -431,9 +431,9 @@ def typing_kit(file_name) : 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