Loading etl/assets/ashes_cores.py 0 → 100644 +102 −0 Changes for etl/assets/ashes_cores.py: 102 added lines, 0 removed lines. Original line number Diff line number Diff line import csv # Define the raw data as a multiline string raw_data = """ G14 ALMA1 18 17 22.56 -16 25 0.7 9.97 32.27 0.91 3 0 G14 ALMA2 18 17 21.46 -16 25 2.8 8.98 16.25 0.63 3 0 G14 ALMA3 18 17 22.13 -16 25 5.8 6.35 14.86 0.85 3 0 G14 ALMA4 18 17 22.86 -16 24 55.1 5.40 8.48 0.55 3 0 G14 ALMA5 18 17 21.53 -16 24 58.7 4.82 5.48 0.46 2 0 G14 ALMA6 18 17 21.65 -16 25 3.8 4.00 3.23 0.34 2 0 G14 ALMA7 18 17 21.33 -16 24 56.6 3.56 9.34 0.68 2 0 G14 ALMA8 18 17 22.51 -16 24 58.2 3.44 3.85 0.41 2 0 G14 ALMA9 18 17 21.45 -16 24 54.5 3.40 3.38 0.42 0 0 G14 ALMA10 18 17 21.38 -16 24 59.4 3.32 6.98 0.61 2 0 G14 ALMA11 18 17 22.37 -16 24 56.6 3.07 6.32 0.58 2 0 G14 ALMA12 18 17 22.28 -16 25 0.6 2.60 2.63 0.41 2 0 G14 ALMA13 18 17 22.72 -16 24 55.9 2.58 1.75 0.32 2 0 G14 ALMA14 18 17 22.24 -16 24 54.7 2.57 1.51 0.29 2 0 G14 ALMA15 18 17 22.28 -16 24 58.4 2.46 1.28 0.27 2 0 G14 ALMA16 18 17 22.03 -16 24 50.4 2.30 9.18 0.85 0 0 G14 ALMA17 18 17 22.32 -16 24 51.0 2.09 4.77 0.60 2 0 G14 ALMA18 18 17 21.89 -16 25 6.0 1.96 8.10 0.82 3 0 G14 ALMA19 18 17 23.34 -16 25 2.2 1.84 9.97 1.13 2 0 G14 ALMA20 18 17 22.21 -16 25 8.3 1.81 1.59 0.38 2 0 G14 ALMA21 18 17 20.94 -16 24 51.1 1.44 5.05 0.88 0 0 G14 ALMA22 18 17 21.96 -16 24 58.1 1.43 1.00 0.31 0 0 G14 ALMA23 18 17 22.82 -16 25 4.1 1.38 3.40 0.66 2 0 G14 ALMA24 18 17 22.81 -16 24 59.5 1.33 1.19 0.36 2 0 G14 ALMA25 18 17 21.24 -16 24 51.2 1.30 3.36 0.68 1 0 G14 ALMA26 18 17 23.20 -16 24 59.4 1.26 2.75 0.62 2 0 G14 ALMA27 18 17 21.87 -16 24 57.1 1.26 2.10 0.53 0 0 G14 ALMA28 18 17 23.67 -16 25 8.8 1.19 1.96 0.65 0 0 G14 ALMA29 18 17 21.65 -16 24 53.1 1.17 1.47 0.47 1 0 G14 ALMA30 18 17 23.78 -16 25 5.2 1.16 1.33 0.43 0 0 G14 ALMA31 18 17 22.40 -16 25 12.0 1.16 6.15 1.03 2 0 G14 ALMA32 18 17 21.16 -16 24 47.8 1.16 0.97 0.36 0 0 G14 ALMA33 18 17 23.42 -16 25 5.8 1.12 2.25 0.67 2 0 G14 ALMA34 18 17 21.31 -16 24 47.4 0.97 1.85 0.60 0 0 G14 ALMA35 18 17 21.78 -16 24 42.9 0.94 1.79 0.61 0 0 G14 ALMA36 18 17 21.71 -16 24 48.0 0.86 1.00 0.44 0 0 G14 ALMA37 18 17 22.55 -16 25 7.4 0.75 1.25 0.63 0 0 G14 Edge1 18 17 22.31 -16 25 31.0 3.00 20.03 1.36 1 1 G28 ALMA1 18 43 32.34 -4 13 33.8 2.74 5.38 0.90 1 0 G28 ALMA2 18 43 31.12 -4 13 19.5 1.79 8.97 1.21 0 0 G28 ALMA3 18 43 30.79 -4 13 20.7 1.73 8.97 1.24 0 0 G28 ALMA4 18 43 31.29 -4 13 15.6 1.62 1.55 0.46 0 0 G28 ALMA5 18 43 31.46 -4 13 20.1 1.32 7.35 1.24 0 0 G28 ALMA6 18 43 30.57 -4 13 33.3 1.18 4.03 0.95 3 0 G28 ALMA7 18 43 30.45 -4 12 55.5 1.10 1.20 0.51 0 0 G28 ALMA8 18 43 31.69 -4 13 20.5 1.03 3.75 1.12 0 0 G28 ALMA9 18 43 30.19 -4 12 56.6 1.01 1.99 0.75 0 0 G28 ALMA10 18 43 31.00 -4 13 35.8 0.97 1.87 0.73 0 0 G28 ALMA11 18 43 30.66 -4 12 59.5 0.76 2.29 0.98 0 0 G28 ALMA12 18 43 30.66 -4 13 3.9 0.74 4.00 1.27 0 0 G28 ALMA13 18 43 30.79 -4 13 11.1 0.63 1.50 0.88 0 0 G332.96 ALMA1 16 18 34.46 -50 24 56.0 1.65 5.00 1.05 3 0 G332.96 ALMA2 16 18 30.46 -50 25 23.1 0.94 0.78 0.49 0 0 G332.96 ALMA3 16 18 30.83 -50 25 20.5 0.91 3.02 1.08 0 0 G332.96 ALMA4 16 18 32.10 -50 24 50.1 0.84 1.38 0.60 0 0 G332.96 ALMA5 16 18 30.85 -50 25 14.7 0.74 1.79 0.84 0 0 G332.96 ALMA6 16 18 31.06 -50 25 9.6 0.67 1.64 0.86 2 0 G332.96 ALMA7 16 18 32.23 -50 24 48.4 0.62 0.54 0.42 0 0 G332.96 ALMA8 16 18 31.88 -50 24 50.3 0.58 0.58 0.50 0 0 G332.96 ALMA9 16 18 34.34 -50 24 59.0 0.53 0.97 0.72 0 0 G332.96 ALMA10 16 18 31.53 -50 25 4.2 0.52 0.34 0.37 0 0 G332.96 ALMA11 16 18 31.64 -50 25 7.5 0.51 0.77 0.68 0 0 G332.96 ALMA12 16 18 32.26 -50 25 2.5 0.51 0.57 0.52 0 0 G332.96 ALMA13 16 18 30.15 -50 25 16.3 0.49 0.48 0.47 0 0 G332.96 ALMA14 16 18 31.46 -50 25 9.0 0.47 0.32 0.40 0 0 G332.96 ALMA15 16 18 30.13 -50 25 14.0 0.46 0.45 0.50 0 0 G332.96 ALMA16 16 18 31.85 -50 24 54.6 0.45 0.45 0.50 0 0 G332.96 ALMA17 16 18 30.74 -50 25 3.1 0.44 0.41 0.50 0 0 G332.96 ALMA18 16 18 31.81 -50 25 3.8 0.43 0.47 0.55 0 0 G332.96 ALMA19 16 18 30.57 -50 25 11.3 0.42 0.41 0.49 0 0 G332.96 ALMA20 16 18 30.73 -50 25 6.1 0.37 0.66 0.70 0 0""" # Truncated for this step; will load all data in next step if works # Split the lines lines = raw_data.strip().split('\n') # Prepare CSV rows csv_rows = [["Clump", "Core", "RA", "DEC", "F_p", "F_{int}", "R_{eff}", "Class", "Edge"]] for line in lines: parts = line.split() clump = parts[0] core = parts[1] ra = f"{parts[2]}h{parts[3]}m{parts[4]}s" dec = f"{parts[5]}d{parts[6]}m{parts[7]}s" F_p = parts[8] F = parts[9] R = parts[10] C = parts[11] E = parts[12] csv_rows.append([clump, core, ra, dec, F_p, F, R, C, E]) # Write to a CSV file csv_path = "./data/ashes_cores.csv" with open(csv_path, "w", newline="") as csvfile: writer = csv.writer(csvfile) writer.writerows(csv_rows) csv_path etl/assets/commons/__init__.py +3 −0 Changes for etl/assets/commons/__init__.py: 3 added lines, 0 removed lines. Original line number Diff line number Diff line Loading @@ -151,6 +151,9 @@ def get_cube(filename, datadir, frequency_limits=None, smooth_data=False): cube.cube = smoothed_data if frequency_limits is not None: cube = cube.slice(frequency_limits[0], frequency_limits[1], unit=u.GHz) if cube.header['CRPIX3'] == 1: fn = np.max if cube.header['CDELT3'] < 0 else np.min cube.header['CRVAL3'] = fn(cube.xarr).value return cube Loading etl/config/ch3oh_regions.yml +6 −6 Changes for etl/config/ch3oh_regions.yml: 6 added lines, 6 removed lines. Original line number Diff line number Diff line Loading @@ -14,7 +14,7 @@ G28: { 'envelope_05': [317, 259, 25, 1], 'envelope_06': [200, 194, 25, 1], 'envelope_07': [167, 336, 25, 3], 'core_envelope_01': [150, 200, 10, 1], 'core_ch3oh_01': [150, 200, 10, 1], } G14: { 'core_cont_01': [220, 260, 8, 1], Loading @@ -25,12 +25,12 @@ G14: { 'core_cont_06': [284, 245, 8, 2], 'core_cont_07': [305, 268, 8, 2], 'envelope_01': [251, 292, 25, 2], 'envelope_02': [181, 249, 25, 1], 'envelope_03': [288, 338, 25, 1], 'envelope_04': [328, 318, 20, 1], 'envelope_05': [185, 197, 25, 1], 'envelope_02': [288, 338, 25, 1], 'envelope_03': [328, 318, 20, 1], 'envelope_04': [185, 197, 25, 1], 'core_ch3oh_01': [251, 208, 20, 2], 'core_ch3oh_02': [301, 224, 8, 1], 'core_ch3oh_03': [186, 252, 10, 3], } G332.96: { 'core_cont_01': [137, 272, 15, 1], Loading @@ -40,5 +40,5 @@ G332.96: { 'envelope_02': [328, 242, 25, 3], 'envelope_03': [334, 157, 30, 1], 'envelope_04': [210, 204, 30, 1], 'envelope_05_global': [285, 215, 55, 3], # 'envelope_05_global': [285, 215, 55, 3], } No newline at end of file etl/config/guesses.yml +10 −10 Changes for etl/config/guesses.yml: 10 added lines, 10 removed lines. Original line number Diff line number Diff line Loading @@ -35,9 +35,9 @@ G28: { [ 2.0e+5, 2.0e+5 ] ], core_cont_08: [ [ [ 0.015, 0.02, 0.005, 0.001 ], [ 0.02, 0.03, 0.01, 0.003 ], [ 0.012, 0.013, 0.002, 0.001 ], [ 0.001, 0.012, 0.001, 0.0005 ] ], [ [ 0.01, 0.024, 0.005, 0.001 ], [ 0.02, 0.023, 0.006, 0.001 ], [ 0.012, 0.013, 0.003, 0.001 ], [ 0.001, 0.02, 0.001, 0.0005 ] ], [ -4.0e+5, 0.0e+5, 9.5e+5, 35.0e+5 ], [ 1.9e+5, 1.9e+5, 1.8e+5, 3.0e+5 ] [ 1.9e+5, 1.9e+5, 2.5e+5, 3.0e+5 ] ], envelope_01: [ [ [ 0.02, 0.03, 0.003, 0.001 ], ], Loading Loading @@ -74,7 +74,7 @@ G28: { [ 6.0e+5, -6.0e+5, -2.0e+5 ], [ 2.0e+5, 2.0e+5, 2.0e+5 ] ], core_envelope_01: [ core_ch3oh_01: [ [ [ 0.025, 0.035, 0.003, 0.001 ], ], [ 0, ], [ 2.5e+5, ] Loading Loading @@ -123,21 +123,16 @@ G14: { [ 2.5e+5, 10.0e+5 ] ], envelope_02: [ [ [ 0.05, 0.07, 0.02, 0.003 ] ], [ 6.0e+5, ], [ 2.0e+5, ] ], envelope_03: [ [ [ 0.025, 0.035, 0.003, 0.001 ], ], [ 0, ], [ 2.5e+5, ] ], envelope_04: [ envelope_03: [ [ [ 0.02, 0.03, 0.003, 0.001 ], ], [ 0, ], [ 2.5e+5, ] ], envelope_05: [ envelope_04: [ [ [ 0.02, 0.03, 0.003, 0.001 ], ], [ 6.0e+5, ], [ 2.5e+5, ] Loading @@ -152,6 +147,11 @@ G14: { [ 0, ], [ 2.5e+5, ] ], core_ch3oh_03: [ [ [ 0.02, 0.1, 0.015, 0.002 ], [ 0.01, 0.04, 0.015, 0.002 ], [ 0.01, 0.04, 0.015, 0.002 ] ], [ 4.0e+5, 10.0e+5, 15.0e+5 ], [ 2.5e+5, 1.5e+5, 1.5e+5 ] ], } G332.96: { core_cont_01: [ Loading etl/mdl/inferred_densities/clump_densities_G14.yml +3 −3 Changes for etl/mdl/inferred_densities/clump_densities_G14.yml: 3 added lines, 3 removed lines. Original line number Diff line number Diff line Loading @@ -4,9 +4,9 @@ clump: fwhm: - 1.7556571361160092 reliability_score: - 0.6609834504975898 - 0.6603623014166846 uncertainty: - - 4.903927027044328 - 5.170300451599158 - - 4.901537554413444 - 5.167549678354421 vlsr: - 39.62683657035755 Loading
etl/assets/ashes_cores.py 0 → 100644 +102 −0 Changes for etl/assets/ashes_cores.py: 102 added lines, 0 removed lines. Original line number Diff line number Diff line import csv # Define the raw data as a multiline string raw_data = """ G14 ALMA1 18 17 22.56 -16 25 0.7 9.97 32.27 0.91 3 0 G14 ALMA2 18 17 21.46 -16 25 2.8 8.98 16.25 0.63 3 0 G14 ALMA3 18 17 22.13 -16 25 5.8 6.35 14.86 0.85 3 0 G14 ALMA4 18 17 22.86 -16 24 55.1 5.40 8.48 0.55 3 0 G14 ALMA5 18 17 21.53 -16 24 58.7 4.82 5.48 0.46 2 0 G14 ALMA6 18 17 21.65 -16 25 3.8 4.00 3.23 0.34 2 0 G14 ALMA7 18 17 21.33 -16 24 56.6 3.56 9.34 0.68 2 0 G14 ALMA8 18 17 22.51 -16 24 58.2 3.44 3.85 0.41 2 0 G14 ALMA9 18 17 21.45 -16 24 54.5 3.40 3.38 0.42 0 0 G14 ALMA10 18 17 21.38 -16 24 59.4 3.32 6.98 0.61 2 0 G14 ALMA11 18 17 22.37 -16 24 56.6 3.07 6.32 0.58 2 0 G14 ALMA12 18 17 22.28 -16 25 0.6 2.60 2.63 0.41 2 0 G14 ALMA13 18 17 22.72 -16 24 55.9 2.58 1.75 0.32 2 0 G14 ALMA14 18 17 22.24 -16 24 54.7 2.57 1.51 0.29 2 0 G14 ALMA15 18 17 22.28 -16 24 58.4 2.46 1.28 0.27 2 0 G14 ALMA16 18 17 22.03 -16 24 50.4 2.30 9.18 0.85 0 0 G14 ALMA17 18 17 22.32 -16 24 51.0 2.09 4.77 0.60 2 0 G14 ALMA18 18 17 21.89 -16 25 6.0 1.96 8.10 0.82 3 0 G14 ALMA19 18 17 23.34 -16 25 2.2 1.84 9.97 1.13 2 0 G14 ALMA20 18 17 22.21 -16 25 8.3 1.81 1.59 0.38 2 0 G14 ALMA21 18 17 20.94 -16 24 51.1 1.44 5.05 0.88 0 0 G14 ALMA22 18 17 21.96 -16 24 58.1 1.43 1.00 0.31 0 0 G14 ALMA23 18 17 22.82 -16 25 4.1 1.38 3.40 0.66 2 0 G14 ALMA24 18 17 22.81 -16 24 59.5 1.33 1.19 0.36 2 0 G14 ALMA25 18 17 21.24 -16 24 51.2 1.30 3.36 0.68 1 0 G14 ALMA26 18 17 23.20 -16 24 59.4 1.26 2.75 0.62 2 0 G14 ALMA27 18 17 21.87 -16 24 57.1 1.26 2.10 0.53 0 0 G14 ALMA28 18 17 23.67 -16 25 8.8 1.19 1.96 0.65 0 0 G14 ALMA29 18 17 21.65 -16 24 53.1 1.17 1.47 0.47 1 0 G14 ALMA30 18 17 23.78 -16 25 5.2 1.16 1.33 0.43 0 0 G14 ALMA31 18 17 22.40 -16 25 12.0 1.16 6.15 1.03 2 0 G14 ALMA32 18 17 21.16 -16 24 47.8 1.16 0.97 0.36 0 0 G14 ALMA33 18 17 23.42 -16 25 5.8 1.12 2.25 0.67 2 0 G14 ALMA34 18 17 21.31 -16 24 47.4 0.97 1.85 0.60 0 0 G14 ALMA35 18 17 21.78 -16 24 42.9 0.94 1.79 0.61 0 0 G14 ALMA36 18 17 21.71 -16 24 48.0 0.86 1.00 0.44 0 0 G14 ALMA37 18 17 22.55 -16 25 7.4 0.75 1.25 0.63 0 0 G14 Edge1 18 17 22.31 -16 25 31.0 3.00 20.03 1.36 1 1 G28 ALMA1 18 43 32.34 -4 13 33.8 2.74 5.38 0.90 1 0 G28 ALMA2 18 43 31.12 -4 13 19.5 1.79 8.97 1.21 0 0 G28 ALMA3 18 43 30.79 -4 13 20.7 1.73 8.97 1.24 0 0 G28 ALMA4 18 43 31.29 -4 13 15.6 1.62 1.55 0.46 0 0 G28 ALMA5 18 43 31.46 -4 13 20.1 1.32 7.35 1.24 0 0 G28 ALMA6 18 43 30.57 -4 13 33.3 1.18 4.03 0.95 3 0 G28 ALMA7 18 43 30.45 -4 12 55.5 1.10 1.20 0.51 0 0 G28 ALMA8 18 43 31.69 -4 13 20.5 1.03 3.75 1.12 0 0 G28 ALMA9 18 43 30.19 -4 12 56.6 1.01 1.99 0.75 0 0 G28 ALMA10 18 43 31.00 -4 13 35.8 0.97 1.87 0.73 0 0 G28 ALMA11 18 43 30.66 -4 12 59.5 0.76 2.29 0.98 0 0 G28 ALMA12 18 43 30.66 -4 13 3.9 0.74 4.00 1.27 0 0 G28 ALMA13 18 43 30.79 -4 13 11.1 0.63 1.50 0.88 0 0 G332.96 ALMA1 16 18 34.46 -50 24 56.0 1.65 5.00 1.05 3 0 G332.96 ALMA2 16 18 30.46 -50 25 23.1 0.94 0.78 0.49 0 0 G332.96 ALMA3 16 18 30.83 -50 25 20.5 0.91 3.02 1.08 0 0 G332.96 ALMA4 16 18 32.10 -50 24 50.1 0.84 1.38 0.60 0 0 G332.96 ALMA5 16 18 30.85 -50 25 14.7 0.74 1.79 0.84 0 0 G332.96 ALMA6 16 18 31.06 -50 25 9.6 0.67 1.64 0.86 2 0 G332.96 ALMA7 16 18 32.23 -50 24 48.4 0.62 0.54 0.42 0 0 G332.96 ALMA8 16 18 31.88 -50 24 50.3 0.58 0.58 0.50 0 0 G332.96 ALMA9 16 18 34.34 -50 24 59.0 0.53 0.97 0.72 0 0 G332.96 ALMA10 16 18 31.53 -50 25 4.2 0.52 0.34 0.37 0 0 G332.96 ALMA11 16 18 31.64 -50 25 7.5 0.51 0.77 0.68 0 0 G332.96 ALMA12 16 18 32.26 -50 25 2.5 0.51 0.57 0.52 0 0 G332.96 ALMA13 16 18 30.15 -50 25 16.3 0.49 0.48 0.47 0 0 G332.96 ALMA14 16 18 31.46 -50 25 9.0 0.47 0.32 0.40 0 0 G332.96 ALMA15 16 18 30.13 -50 25 14.0 0.46 0.45 0.50 0 0 G332.96 ALMA16 16 18 31.85 -50 24 54.6 0.45 0.45 0.50 0 0 G332.96 ALMA17 16 18 30.74 -50 25 3.1 0.44 0.41 0.50 0 0 G332.96 ALMA18 16 18 31.81 -50 25 3.8 0.43 0.47 0.55 0 0 G332.96 ALMA19 16 18 30.57 -50 25 11.3 0.42 0.41 0.49 0 0 G332.96 ALMA20 16 18 30.73 -50 25 6.1 0.37 0.66 0.70 0 0""" # Truncated for this step; will load all data in next step if works # Split the lines lines = raw_data.strip().split('\n') # Prepare CSV rows csv_rows = [["Clump", "Core", "RA", "DEC", "F_p", "F_{int}", "R_{eff}", "Class", "Edge"]] for line in lines: parts = line.split() clump = parts[0] core = parts[1] ra = f"{parts[2]}h{parts[3]}m{parts[4]}s" dec = f"{parts[5]}d{parts[6]}m{parts[7]}s" F_p = parts[8] F = parts[9] R = parts[10] C = parts[11] E = parts[12] csv_rows.append([clump, core, ra, dec, F_p, F, R, C, E]) # Write to a CSV file csv_path = "./data/ashes_cores.csv" with open(csv_path, "w", newline="") as csvfile: writer = csv.writer(csvfile) writer.writerows(csv_rows) csv_path
etl/assets/commons/__init__.py +3 −0 Changes for etl/assets/commons/__init__.py: 3 added lines, 0 removed lines. Original line number Diff line number Diff line Loading @@ -151,6 +151,9 @@ def get_cube(filename, datadir, frequency_limits=None, smooth_data=False): cube.cube = smoothed_data if frequency_limits is not None: cube = cube.slice(frequency_limits[0], frequency_limits[1], unit=u.GHz) if cube.header['CRPIX3'] == 1: fn = np.max if cube.header['CDELT3'] < 0 else np.min cube.header['CRVAL3'] = fn(cube.xarr).value return cube Loading
etl/config/ch3oh_regions.yml +6 −6 Changes for etl/config/ch3oh_regions.yml: 6 added lines, 6 removed lines. Original line number Diff line number Diff line Loading @@ -14,7 +14,7 @@ G28: { 'envelope_05': [317, 259, 25, 1], 'envelope_06': [200, 194, 25, 1], 'envelope_07': [167, 336, 25, 3], 'core_envelope_01': [150, 200, 10, 1], 'core_ch3oh_01': [150, 200, 10, 1], } G14: { 'core_cont_01': [220, 260, 8, 1], Loading @@ -25,12 +25,12 @@ G14: { 'core_cont_06': [284, 245, 8, 2], 'core_cont_07': [305, 268, 8, 2], 'envelope_01': [251, 292, 25, 2], 'envelope_02': [181, 249, 25, 1], 'envelope_03': [288, 338, 25, 1], 'envelope_04': [328, 318, 20, 1], 'envelope_05': [185, 197, 25, 1], 'envelope_02': [288, 338, 25, 1], 'envelope_03': [328, 318, 20, 1], 'envelope_04': [185, 197, 25, 1], 'core_ch3oh_01': [251, 208, 20, 2], 'core_ch3oh_02': [301, 224, 8, 1], 'core_ch3oh_03': [186, 252, 10, 3], } G332.96: { 'core_cont_01': [137, 272, 15, 1], Loading @@ -40,5 +40,5 @@ G332.96: { 'envelope_02': [328, 242, 25, 3], 'envelope_03': [334, 157, 30, 1], 'envelope_04': [210, 204, 30, 1], 'envelope_05_global': [285, 215, 55, 3], # 'envelope_05_global': [285, 215, 55, 3], } No newline at end of file
etl/config/guesses.yml +10 −10 Changes for etl/config/guesses.yml: 10 added lines, 10 removed lines. Original line number Diff line number Diff line Loading @@ -35,9 +35,9 @@ G28: { [ 2.0e+5, 2.0e+5 ] ], core_cont_08: [ [ [ 0.015, 0.02, 0.005, 0.001 ], [ 0.02, 0.03, 0.01, 0.003 ], [ 0.012, 0.013, 0.002, 0.001 ], [ 0.001, 0.012, 0.001, 0.0005 ] ], [ [ 0.01, 0.024, 0.005, 0.001 ], [ 0.02, 0.023, 0.006, 0.001 ], [ 0.012, 0.013, 0.003, 0.001 ], [ 0.001, 0.02, 0.001, 0.0005 ] ], [ -4.0e+5, 0.0e+5, 9.5e+5, 35.0e+5 ], [ 1.9e+5, 1.9e+5, 1.8e+5, 3.0e+5 ] [ 1.9e+5, 1.9e+5, 2.5e+5, 3.0e+5 ] ], envelope_01: [ [ [ 0.02, 0.03, 0.003, 0.001 ], ], Loading Loading @@ -74,7 +74,7 @@ G28: { [ 6.0e+5, -6.0e+5, -2.0e+5 ], [ 2.0e+5, 2.0e+5, 2.0e+5 ] ], core_envelope_01: [ core_ch3oh_01: [ [ [ 0.025, 0.035, 0.003, 0.001 ], ], [ 0, ], [ 2.5e+5, ] Loading Loading @@ -123,21 +123,16 @@ G14: { [ 2.5e+5, 10.0e+5 ] ], envelope_02: [ [ [ 0.05, 0.07, 0.02, 0.003 ] ], [ 6.0e+5, ], [ 2.0e+5, ] ], envelope_03: [ [ [ 0.025, 0.035, 0.003, 0.001 ], ], [ 0, ], [ 2.5e+5, ] ], envelope_04: [ envelope_03: [ [ [ 0.02, 0.03, 0.003, 0.001 ], ], [ 0, ], [ 2.5e+5, ] ], envelope_05: [ envelope_04: [ [ [ 0.02, 0.03, 0.003, 0.001 ], ], [ 6.0e+5, ], [ 2.5e+5, ] Loading @@ -152,6 +147,11 @@ G14: { [ 0, ], [ 2.5e+5, ] ], core_ch3oh_03: [ [ [ 0.02, 0.1, 0.015, 0.002 ], [ 0.01, 0.04, 0.015, 0.002 ], [ 0.01, 0.04, 0.015, 0.002 ] ], [ 4.0e+5, 10.0e+5, 15.0e+5 ], [ 2.5e+5, 1.5e+5, 1.5e+5 ] ], } G332.96: { core_cont_01: [ Loading
etl/mdl/inferred_densities/clump_densities_G14.yml +3 −3 Changes for etl/mdl/inferred_densities/clump_densities_G14.yml: 3 added lines, 3 removed lines. Original line number Diff line number Diff line Loading @@ -4,9 +4,9 @@ clump: fwhm: - 1.7556571361160092 reliability_score: - 0.6609834504975898 - 0.6603623014166846 uncertainty: - - 4.903927027044328 - 5.170300451599158 - - 4.901537554413444 - 5.167549678354421 vlsr: - 39.62683657035755