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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Downtasks/photo-z-sdss/sdss_dr12_with_filenames_train_test.csv filter=lfs diff=lfs merge=lfs -text

Downtasks/galaxy-desi.rar

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b3cd7da5a4ce649c29c08da9d146be1ceb5121f61c632735b4d9c6fdf9a4ee89
+size 2082656230

Downtasks/galaxy-sdss.rar

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d8a94b25a37a926772a30aeafe35ccad007cf831887ed7d63f6300df6d7db00b
+size 60625346

Downtasks/object-lens.rar

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+version https://git-lfs.github.com/spec/v1
+oid sha256:416fff99092d2fc09a35515495bb04d2421c6a3f42afb44e035952aba9fa0c3a
+size 598631040

Downtasks/photo-z-sdss/download.py

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+import pandas as pd
+import os
+from astropy.io import fits
+from astroquery.skyview import SkyView
+from astropy.coordinates import SkyCoord
+import astropy.units as u
+from astropy.visualization import make_lupton_rgb
+import numpy as np
+from concurrent.futures import ThreadPoolExecutor, as_completed
+
+def create_rgb_image(g, r, i):
+    """
+    Create an RGB image using Lupton stretch.
+         
+    Parameters:
+        g_band (array-like): Green band image data.
+        r_band (array-like): Red band image data.
+        i_band (array-like): Infrared band image data.
+
+    Returns:
+        array: RGB image created from the input bands.
+     """
+    rgb_image = make_lupton_rgb(i, r, g, Q=10, stretch=0.3, minimum=0.0)
+    return rgb_image
+
+def adjust_flux(g_band, r_band, i_band):
+    """
+    Adjust the flux of the input bands.
+
+    Parameters:
+        g_band (array-like): Green band image data.
+        r_band (array-like): Red band image data.
+        i_band (array-like): Infrared band image data.
+
+    Returns:
+        tuple: Adjusted green, red, and infrared band image data.
+    """
+    g_band = np.array(g_band)* 1.1
+    r_band = np.array(r_band)* 1
+    i_band = np.array(i_band)* 0.79
+
+    return g_band, r_band, i_band
+
+def process_star(star_ra, star_dec, image_width, image_height, output_path):
+    c = SkyCoord(ra=star_ra * u.degree, dec=star_dec * u.degree, frame='icrs')
+    fits_images = SkyView.get_images(position=c, survey=['SDSSu', 'SDSSg', 'SDSSr', 'SDSSi', 'SDSSz'], width=image_width, height=image_height)
+
+    g_band, r_band, i_band = adjust_flux(fits_images[1][0].data, fits_images[2][0].data, fits_images[3][0].data)
+    rgb_image = create_rgb_image(g_band, r_band, i_band)
+
+    images = np.zeros(shape=(5, 300, 300))
+    images[0] = fits_images[0][0].data
+    images[1] = fits_images[1][0].data
+    images[2] = fits_images[2][0].data
+    images[3] = fits_images[3][0].data
+    images[4] = fits_images[4][0].data
+
+    output_file = f"cutout_{star_ra}_{star_dec}.fits"
+    fits.writeto(os.path.join(output_path, output_file), images, overwrite=True)
+
+def main():
+    image_width = (256 * 0.396) * u.arcsec
+    image_height = (256 * 0.396) * u.arcsec
+    output_path = r'./Data_download/DATA_SDSS'
+    csv_file_path = r'./Data_download/sdss_dr12_with_filenames_train_test.csv'
+    
+    df = pd.read_csv(csv_file_path)
+
+    with ThreadPoolExecutor(max_workers=4) as executor:
+        futures = []
+        for i in range(len(df)):
+            star_ra = df['ra'].values[i]
+            star_dec = df['dec'].values[i]
+            futures.append(executor.submit(process_star, star_ra, star_dec, image_width, image_height, output_path))
+
+        for future in as_completed(futures):
+            try:
+                future.result()
+            except Exception as e:
+                print(f"An error occurred: {e}") 
+
+if __name__ == "__main__":
+    main()

Downtasks/photo-z-sdss/sdss_dr12_with_filenames_train_test.csv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:16ff7e74364dfb745162dd3a9926bd845d6538fdf687e0a8bd1297344695dcef
+size 14906349