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HTML ファイル生成日時: 2024/09/03 20:25:59.812 (台灣標準時)

JWST のデータを入手する方法

JWST (James Webb Space Telescope) のデータを探し、欲しいデータが見つかったら、それをダウンロードするには、以下のようにすればよいようでござる。

データを探す

まず、以下のようなスクリプトを用意するでござる。


#!/usr/pkg/bin/python3.12

#
# Time-stamp: <2024/05/13 20:03:40 (UT+8) daisuke>
#

# importing argparse module
import argparse

# importing sys module
import sys

# importing pathlib module
import pathlib

# importing datetime module
import datetime

# importing astropy module
import astropy.units
import astropy.coordinates

# importing astroquery module
import astroquery.esa.jwst

# date/time
now = datetime.datetime.now ().isoformat ()

# command name
command = sys.argv[0]

# constructing parser object
descr  = "searching JWST images available for download"
parser = argparse.ArgumentParser (description=descr)

# adding arguments
parser.add_argument ('-o', '--output', default='', \
                     help='output file name')
parser.add_argument ('-r', '--radius', type=float, default=1.0, \
                     help='search radius in arcmin (default: 1)')
parser.add_argument ('ra', nargs=1, default='00h00m00.000s', \
                     help='RA of target object (default: 00h00m00.000s)')
parser.add_argument ('dec', nargs=1, default='00d00m00.00s', \
                     help='Dec of target object (default: 00d00m00.000s)')

# command-line argument analysis
args = parser.parse_args ()

# input parameters
file_output   = args.output
radius_arcmin = args.radius
ra            = args.ra[0]
dec           = args.dec[0]

# units
u_ha     = astropy.units.hourangle
u_deg    = astropy.units.deg
u_arcmin = astropy.units.arcmin

# search radius
radius = radius_arcmin * u_arcmin

# coordinate
coord = astropy.coordinates.SkyCoord (ra, dec, unit=(u_ha, u_deg), frame='icrs')

# coordinate in hh:mm:ss.ss and dd:mm:ss.s format
coord_str                     = coord.to_string (style='hmsdms')
(coord_ra_str, coord_dec_str) = coord_str.split ()
coord_ra_deg                  = coord.ra.deg
coord_dec_deg                 = coord.dec.deg
    
# printing coordinate
print (f'# Coordinate:')
print (f'#  RA:  {coord_ra_str} = {coord_ra_deg} deg')
print (f'#  Dec: {coord_dec_str} = {coord_dec_deg} deg')

# query
jwst = astroquery.esa.jwst.Jwst.cone_search (coordinate=coord, radius=radius, \
                                             async_job=True)

# query result
query_result = jwst.get_results ()

# writing query result
with open (file_output, 'w') as fh:
    # writing header
    header = f'# obs. ID, calib. level, data type, instrument, energy band\n'
    fh.write (header)
    for i in range (len (query_result)):
        # if the data product is not image, then skip
        if (query_result["dataproducttype"][i] != 'image'):
            continue
        # coordinate
        coord = astropy.coordinates.SkyCoord (query_result["target_ra"][i], \
                                              query_result["target_dec"][i], \
                                              unit=(u_deg, u_deg), frame='icrs')
        # writing data into file
        record = f'{query_result["observationid"][i]:36s}' \
            + f' {query_result["calibrationlevel"][i]:2d}' \
            + f' {query_result["dataproducttype"][i]:5s}' \
            + f' {query_result["instrument_name"][i]:12s}' \
            + f' {query_result["energy_bandpassname"][i]:12s}' \
            + f' {coord.ra.deg:8.3f} {coord.dec.deg:8.3f}\n'
        fh.write (record)

このスクリプトを実行して、指定した領域に公開されている JWST のデータがあるかどうかを調べてみるでござる。試しに、 M1 (Crab Nebula) のデータを探してみることにするでござる。


% ./jwst_search.py -h
usage: jwst_search.py [-h] [-o OUTPUT] [-r RADIUS] ra dec

searching JWST images available for download

positional arguments:
  ra                    RA of target object (default: 00h00m00.000s)
  dec                   Dec of target object (default: 00d00m00.000s)

options:
  -h, --help            show this help message and exit
  -o OUTPUT, --output OUTPUT
                        output file name
  -r RADIUS, --radius RADIUS
                        search radius in arcmin (default: 1)
% ./jwst_search.py -o m1.txt 05:34:32 +22:00:52
# Coordinate:
#  RA:  05h34m32s = 83.63333333333331 deg
#  Dec: +22d00m52s = 22.014444444444443 deg
INFO: Query finished. [astroquery.utils.tap.core]
% ls -lF m1.txt 
-rw-r--r--  1 daisuke  taiwan  63207 May 14 07:50 m1.txt

検索結果を見てみるでござる。


% cat m1.txt 
# obs. ID, calib. level, data type, instrument, energy band
jw01714001006_02103_00001_mirimage      2 image MIRI/IMAGE   F1130W          83.636   22.016
jw01714006005_02101_00004_nrcalong      2 image NIRCAM/IMAGE F480M           83.636   22.016
jw01714006004_02101_00001_nrcb2         2 image NIRCAM/IMAGE F150W2;F162M    83.636   22.016
jw01714001003_02105_00002_mirimage      2 image MIRI/IMAGE   F1800W          83.636   22.016
jw01714001005_02105_00004_mirimage      2 image MIRI/IMAGE   F1800W          83.636   22.016
jw01714006001_02101_00001_nrca1         2 image NIRCAM/IMAGE F150W2;F162M    83.636   22.016
jw01714006004_02101_00003_nrcblong      2 image NIRCAM/IMAGE F480M           83.636   22.016
jw01714006002_03101_00001_nrca1         2 image NIRCAM/IMAGE F150W2;F162M    83.636   22.016
jw01714006005_02101_00001_nrcb1         2 image NIRCAM/IMAGE F150W2;F162M    83.636   22.016
jw01714006003_02101_00004_nrca1         2 image NIRCAM/IMAGE F150W2;F162M    83.636   22.016
jw01714006002_03101_00001_nrcb2         2 image NIRCAM/IMAGE F150W2;F162M    83.636   22.016
jw01714001003_02107_00003_mirimage      2 image MIRI/IMAGE   F2100W          83.636   22.016
jw01714006004_02101_00002_nrca2         2 image NIRCAM/IMAGE F150W2;F162M    83.636   22.016
jw01714001002_02105_00004_mirimage      2 image MIRI/IMAGE   F1800W          83.636   22.016
jw01714001003_02105_00001_mirimage      2 image MIRI/IMAGE   F1800W          83.636   22.016
jw01714006003_02101_00006_nrcb1         2 image NIRCAM/IMAGE F150W2;F162M    83.636   22.016
jw01714001008_02105_00002_mirimage      2 image MIRI/IMAGE   F1800W          83.636   22.016
jw01714001005_02105_00002_mirimage      2 image MIRI/IMAGE   F1800W          83.636   22.016
jw01714006001_02101_00005_nrcb3         2 image NIRCAM/IMAGE F150W2;F162M    83.636   22.016
jw01714001002_02107_00003_mirimage      2 image MIRI/IMAGE   F2100W          83.636   22.016

.....

jw01714006003_02101_00006_nrca1         2 image NIRCAM/IMAGE F150W2;F162M    83.636   22.016
jw01714-c1002_t001_miri_f1800w          3 image MIRI/IMAGE   F1800W          83.636   22.016
jw01714-c1002_t001_miri_f2100w          3 image MIRI/IMAGE   F2100W          83.636   22.016
jw01714-c1002_t001_miri_f1130w          3 image MIRI/IMAGE   F1130W          83.636   22.016
jw01714-c1002_t001_miri_f560w           3 image MIRI/IMAGE   F560W           83.636   22.016
jw01714004001_02101_00004_mirimage      2 image MIRI/IMAGE   F770W           83.623   22.008
jw01714004001_02101_00002_mirimage      2 image MIRI/IMAGE   F770W           83.623   22.008
jw01714004001_02103_00002_mirimage      2 image MIRI/IMAGE   F1500W          83.623   22.008
jw01714-o004_t002_miri_f770w            3 image MIRI/IMAGE   F770W           83.623   22.008
jw01714-o004_t002_miri_f2550w           3 image MIRI/IMAGE   F2550W          83.623   22.008
jw01714-o004_t002_miri_f1500w           3 image MIRI/IMAGE   F1500W          83.623   22.008
jw01714004001_02103_00004_mirimage      2 image MIRI/IMAGE   F1500W          83.623   22.008
jw01714004001_02101_00001_mirimage      2 image MIRI/IMAGE   F770W           83.623   22.008
jw01714004001_02105_00001_mirimage      2 image MIRI/IMAGE   F2550W          83.623   22.008
jw01714004001_02105_00003_mirimage      2 image MIRI/IMAGE   F2550W          83.623   22.008
jw01714004001_02105_00004_mirimage      2 image MIRI/IMAGE   F2550W          83.623   22.008
jw01714004001_02105_00002_mirimage      2 image MIRI/IMAGE   F2550W          83.623   22.008
jw01714004001_02103_00001_mirimage      2 image MIRI/IMAGE   F1500W          83.623   22.008
jw01714004001_02103_00003_mirimage      2 image MIRI/IMAGE   F1500W          83.623   22.008
jw01714004001_02101_00003_mirimage      2 image MIRI/IMAGE   F770W           83.623   22.008

たくさんのデータがあるようでござる。一つ目の jw01714001006_02103_00001_mirimage という observation ID のデータを見てみることにするでござる。以下のようなスクリプトを用意するでござる。


#!/usr/pkg/bin/python3.12

#
# Time-stamp: <2024/05/14 07:59:46 (UT+8) daisuke>
#

# importing argparse module
import argparse

# importing sys module
import sys

# importing pathlib module
import pathlib

# importing datetime module
import datetime

# importing astropy module
import astropy.units
import astropy.coordinates

# importing astroquery module
import astroquery.esa.jwst

# date/time
now = datetime.datetime.now ().isoformat ()

# command name
command = sys.argv[0]

# constructing parser object
descr  = "getting data product list of JWST data"
parser = argparse.ArgumentParser (description=descr)

# adding arguments
parser.add_argument ('-i', '--obsid', default='', \
                     help='observation ID of JWST data')

# command-line argument analysis
args = parser.parse_args ()

# input parameters
obsid = args.obsid

# getting product list
product_list = astroquery.esa.jwst.Jwst.get_product_list (observation_id=obsid)

# printing product list
print (f'# file name, product type, calib. level, availability')
for i in range (len (product_list)):
    print (f'{product_list["filename"][i]:56s}', \
           f'{product_list["producttype"][i]:10s}', \
           f'{product_list["calibrationlevel"][i]:2d}', \
           f'{product_list["public"][i]}')

このスクリプトを実行して、 observation ID "jw01714001006_02103_00001_mirimage" の data product の一覧を得るでござる。


% ./jwst_productlist.py -h
usage: jwst_productlist.py [-h] [-i OBSID]

getting data product list of JWST data

options:
  -h, --help            show this help message and exit
  -i OBSID, --obsid OBSID
                        observation ID of JWST data
% ./jwst_productlist.py -i jw01714001006_02103_00001_mirimage
# file name, product type, calib. level, availability
jw01714001006_02103_00001_mirimage_cal.fits              science     2 True
jw01714001006_02103_00001_mirimage_cal.jpg               preview     2 True
jw01714001006_02103_00001_mirimage_i2d.fits              science     2 True
jw01714001006_02103_00001_mirimage_o001_crf.fits         science     2 True
jw01714001006_02103_00001_mirimage_o001_crf.jpg          preview     2 True
jw01714001006_02103_00001_mirimage_o001_crf_thumb.jpg    thumbnail   2 True
jw01714001006_02103_00001_mirimage_rate.fits             science     2 True
jw01714001006_02103_00001_mirimage_rate.jpg              preview     2 True
jw01714001006_02103_00001_mirimage_rate_thumb.jpg        thumbnail   2 True
jw01714001006_02103_00001_mirimage_rateints.fits         science     2 True
jw01714001006_02103_00001_mirimage_rateints.jpg          preview     2 True
jw01714001006_02103_00001_mirimage_rateints_thumb.jpg    thumbnail   2 True
jw01714001006_02103_00001_mirimage_uncal.fits            science     1 True
jw01714001006_02103_00001_mirimage_uncal.jpg             preview     1 True
jw01714001006_gs-acq1_2023055055034_cal.fits             auxiliary   2 True
jw01714001006_gs-acq1_2023055055034_stream.fits          auxiliary   1 True
jw01714001006_gs-acq1_2023055055034_uncal.fits           auxiliary   1 True
jw01714001006_gs-acq2_2023055055036_cal.fits             auxiliary   2 True
jw01714001006_gs-acq2_2023055055036_stream.fits          auxiliary   1 True
jw01714001006_gs-acq2_2023055055036_uncal.fits           auxiliary   1 True

.....

jw01714001006_gs-track_2023055062606_uncal.fits          auxiliary   1 True
jw01714001006_gs-track_2023055062759_cal.fits            auxiliary   2 True
jw01714001006_gs-track_2023055062759_stream.fits         auxiliary   1 True
jw01714001006_gs-track_2023055062759_uncal.fits          auxiliary   1 True
jw01714001006_gs-track_2023055062952_cal.fits            auxiliary   2 True
jw01714001006_gs-track_2023055062952_stream.fits         auxiliary   1 True
jw01714001006_gs-track_2023055062952_uncal.fits          auxiliary   1 True
jw01714001006_gs-track_2023055063158_cal.fits            auxiliary   2 True
jw01714001006_gs-track_2023055063158_stream.fits         auxiliary   1 True
jw01714001006_gs-track_2023055063158_uncal.fits          auxiliary   1 True
jw01714001006_gs-track_2023055063553_cal.fits            auxiliary   2 True
jw01714001006_gs-track_2023055063553_stream.fits         auxiliary   1 True
jw01714001006_gs-track_2023055063553_uncal.fits          auxiliary   1 True
jw01714001006_gs-track_2023055063839_cal.fits            auxiliary   2 True
jw01714001006_gs-track_2023055063839_stream.fits         auxiliary   1 True
jw01714001006_gs-track_2023055063839_uncal.fits          auxiliary   1 True
jw01714001006_gs-track_2023055064128_cal.fits            auxiliary   2 True
jw01714001006_gs-track_2023055064128_stream.fits         auxiliary   1 True
jw01714001006_gs-track_2023055064128_uncal.fits          auxiliary   1 True
jw01714_20240314t060102_pool.csv                         info        2 True

データをダウンロードする

calibration level 2 の product type science のデータがダウンロードすべきもののようでござる。 i2d のデータが re-sampled のデータのようなので、 "jw01714001006_02103_00001_mirimage_i2d.fits" というファイル名のデータをダウンロードしてみるでござる。以下のようなスクリプトを準備してみるでござる。


#!/usr/pkg/bin/python3.12

#
# Time-stamp: <2024/05/12 17:59:18 (UT+8) daisuke>
#

# importing argparse module
import argparse

# importing sys module
import sys

# importing pathlib module
import pathlib

# importing datetime module
import datetime

# importing astropy module
import astropy.units
import astropy.coordinates

# importing astroquery module
import astroquery.esa.jwst

# date/time
now = datetime.datetime.now ().isoformat ()

# command name
command = sys.argv[0]

# constructing parser object
descr  = "downloading JWST image"
parser = argparse.ArgumentParser (description=descr)

# adding arguments
parser.add_argument ('files', nargs='+', default='', \
                     help='file names of JWST data')

# command-line argument analysis
args = parser.parse_args ()

# input parameters
list_files = args.files

# downloading data products
for file_input in list_files:
    # downloading JWST image
    file_output = astroquery.esa.jwst.Jwst.get_product (file_name=file_input)

このスクリプトを実行してみるでござる。


% ./jwst_download.py -h
usage: jwst_download.py [-h] files [files ...]

downloading JWST image

positional arguments:
  files       file names of JWST data

options:
  -h, --help  show this help message and exit
% ./jwst_download.py jw01714001006_02103_00001_mirimage_i2d.fits
% ls -lF jw01714001006_02103_00001_mirimage_i2d.fits.gz 
-rw-r--r--  1 daisuke  taiwan  14927383 May 14 08:08 jw01714001006_02103_00001_mirimage_i2d.fits.gz

データの表示

gzip で圧縮された FITS ファイルがダウンロードされたでござる。解凍するために、以下のスクリプトを準備してみたでござる。


#!/usr/pkg/bin/python3.12

#
# Time-stamp: <2024/05/12 18:39:13 (UT+8) daisuke>
#

# importing argparse module
import argparse

# importing pathlib object
import pathlib

# importing gzip module
import gzip

# constructing parser object
descr  = "un-compressing gzip compressed file"
parser = argparse.ArgumentParser (description=descr)

# adding arguments
parser.add_argument ('files', nargs='+', default='', \
                     help='files')

# command-line argument analysis
args = parser.parse_args ()

# input parameters
list_files = args.files

# processing file one-by-one
for file_input in list_files:
    # printing status
    print (f'Now, processing file "{file_input}"...')

    # making pathlib object
    path_input = pathlib.Path (file_input)

    # if extension of file is not ".gz", then skip
    if not (path_input.suffix == '.gz'):
        # printing message
        print (f'WARNING:')
        print (f'WARNING: suffix of file "{file_input}" is not ".gz"!')
        print (f'WARNING: skipping...')
        print (f'WARNING:')
        # skipping
        continue

    # if the file does not exist, then skip
    if not (path_input.exists ()):
        # printing message
        print (f'WARNING:')
        print (f'WARNING: file "{file_input}" does not exist!')
        print (f'WARNING: skipping...')
        print (f'WARNING:')
        # skipping
        continue

    # output file name
    file_output = path_input.stem

    # printing status
    print (f'  Now, creating file "{file_output}"...')
    
    # opening file for reading
    with gzip.open (file_input, 'rb') as fh_in:
        # reading data
        data = fh_in.read ()
        # opening file for writing
        with open (file_output, 'wb') as fh_out:
            # writing data into file
            fh_out.write (data)

    # printing status
    print (f'  Finished creating file "{file_output}"!')

    # printing status
    print (f'Finished processing file "{file_input}"!')

このスクリプトを実行してみるでござる。


% ./jwst_uncompress.py -h
usage: jwst_uncompress.py [-h] files [files ...]

un-compressing gzip compressed file

positional arguments:
  files       files

options:
  -h, --help  show this help message and exit
% ./jwst_uncompress.py jw01714001006_02103_00001_mirimage_i2d.fits.gz 
Now, processing file "jw01714001006_02103_00001_mirimage_i2d.fits.gz"...
  Now, creating file "jw01714001006_02103_00001_mirimage_i2d.fits"...
  Finished creating file "jw01714001006_02103_00001_mirimage_i2d.fits"!
Finished processing file "jw01714001006_02103_00001_mirimage_i2d.fits.gz"!
% ls -lF jw01714001006_02103_00001_mirimage_i2d.fits*
-rw-r--r--  1 daisuke  taiwan  29445120 May 14 08:12 jw01714001006_02103_00001_mirimage_i2d.fits
-rw-r--r--  1 daisuke  taiwan  14927383 May 14 08:08 jw01714001006_02103_00001_mirimage_i2d.fits.gz

ダウンロードした FITS ファイルがどのようなものなのか調べてみるために、以下のようなスクリプトを準備してみるでござる。


#!/usr/pkg/bin/python3.12

#
# Time-stamp: <2024/05/12 19:10:44 (UT+8) daisuke>
#

# importing argparse module
import argparse

# importing sys module
import sys

# importing pathlib module
import pathlib

# importing astropy module
import astropy.io.fits

# constructing parser object
descr  = 'showing structure of FITS files'
parser = argparse.ArgumentParser (description=descr)

# adding arguments
parser.add_argument ('files', nargs='+', help='FITS files')

# command-line argument analysis
args = parser.parse_args ()

# file names
list_files = args.files

# processing files one-by-one
for file_fits in list_files:
    # making pathlib object
    path_fits = pathlib.Path (file_fits)

    # if file is not a FITS file, then skip
    if not (path_fits.suffix == '.fits'):
        # printing message
        print (f'WARNING:')
        print (f'WARNING: file "{file_fits}" is not a FITS file!')
        print (f'WARNING: skipping')
        print (f'WARNING:')
        # skipping
        continue

    # if file does not exist, then skip
    if not (path_fits.exists ()):
        # printing message
        print (f'WARNING:')
        print (f'WARNING: file "{file_fits}" does not exist!')
        print (f'WARNING: skipping')
        print (f'WARNING:')
        # skipping
        continue

    # opening FITS file
    with astropy.io.fits.open (file_fits) as hdu:
        # printing HDU
        print (hdu.info ())

このスクリプトを実行してみるでござる。


% ./jwst_fitsstructure.py -h
usage: jwst_fitsstructure.py [-h] files [files ...]

showing structure of FITS files

positional arguments:
  files       FITS files

options:
  -h, --help  show this help message and exit
% ./jwst_fitsstructure.py jw01714001006_02103_00001_mirimage_i2d.fits
Filename: jw01714001006_02103_00001_mirimage_i2d.fits
No.    Name      Ver    Type      Cards   Dimensions   Format
  0  PRIMARY       1 PrimaryHDU     352   ()      
  1  SCI           1 ImageHDU        75   (1029, 1019)   float32   
  2  ERR           1 ImageHDU        10   (1029, 1019)   float32   
  3  CON           1 ImageHDU        10   (1029, 1019, 1)   int32   
  4  WHT           1 ImageHDU         9   (1029, 1019)   float32   
  5  VAR_POISSON    1 ImageHDU         9   (1029, 1019)   float32   
  6  VAR_RNOISE    1 ImageHDU         9   (1029, 1019)   float32   
  7  VAR_FLAT      1 ImageHDU         9   (1029, 1019)   float32   
  8  ASDF          1 BinTableHDU     11   1R x 1C   [13514B]   
None

Primary HDU の次の HDU (Header Data Unit) が SCI となっているので、これが science data のようでござる。この部分を取り出してみるために、以下のようなスクリプトを用意してみたでござる。


#!/usr/pkg/bin/python3.12

#
# Time-stamp: <2024/05/12 19:20:59 (UT+8) daisuke>
#

# importing argparse module
import argparse

# importing sys module
import sys

# importing pathlib module
import pathlib

# importing astropy module
import astropy.io.fits

# constructing parser object
descr  = 'extracting science data from JWST FITS file'
parser = argparse.ArgumentParser (description=descr)

# adding arguments
parser.add_argument ('-i', '--input', help='input file')
parser.add_argument ('-o', '--output', help='output file')

# command-line argument analysis
args = parser.parse_args ()

# file names
file_input  = args.input
file_output = args.output

# making pathlib objects
path_input  = pathlib.Path (file_input)
path_output = pathlib.Path (file_output)

# if file is not a FITS file, then skip
if not (path_input.suffix == '.fits'):
    # printing message
    print (f'WARNING:')
    print (f'WARNING: file "{file_input}" is not a FITS file!')
    print (f'WARNING: skipping')
    print (f'WARNING:')
    # exiting
    sys.exit (0)

# if file is not a FITS file, then skip
if not (path_output.suffix == '.fits'):
    # printing message
    print (f'WARNING:')
    print (f'WARNING: file "{file_output}" is not a FITS file!')
    print (f'WARNING: skipping')
    print (f'WARNING:')
    # exiting
    sys.exit (0)

# if file does not exist, then skip
if not (path_input.exists ()):
    # printing message
    print (f'WARNING:')
    print (f'WARNING: file "{file_input}" does not exist!')
    print (f'WARNING: skipping')
    print (f'WARNING:')
    # exiting
    sys.exit (0)

# if file exists, then skip
if (path_output.exists ()):
    # printing message
    print (f'WARNING:')
    print (f'WARNING: file "{file_output}" exists!')
    print (f'WARNING: skipping')
    print (f'WARNING:')
    # exiting
    sys.exit (0)

# opening FITS file
with astropy.io.fits.open (file_input) as hdu:
    # image of science data
    image = hdu[1].data
    # header of science data
    header = hdu[1].header
    # writing image and header into new file
    astropy.io.fits.writeto (file_output, image, header=header)

このスクリプトを実行してみるでござる。


% ./jwst_extractsci.py -h
usage: jwst_extractsci.py [-h] [-i INPUT] [-o OUTPUT]

extracting science data from JWST FITS file

options:
  -h, --help            show this help message and exit
  -i INPUT, --input INPUT
                        input file
  -o OUTPUT, --output OUTPUT
                        output file
% ./jwst_extractsci.py -i jw01714001006_02103_00001_mirimage_i2d.fits -o m1_jwst_miri.fits
% ls -lF *.fits
-rw-r--r--  1 daisuke  taiwan  29445120 May 14 08:12 jw01714001006_02103_00001_mirimage_i2d.fits
-rw-r--r--  1 daisuke  taiwan   4204800 May 14 08:18 m1_jwst_miri.fits

"m1_jwst_miri.fits" というファイルを Ginga を使って表示してみるでござる。


% ginga-3.12 m1_jwst_miri.fits

参考文献

JWST

https://archive.stsci.edu/missions-and-data/jwst

Astroquery

https://astroquery.readthedocs.io/en/latest/esa/jwst/jwst.html

Data products information

https://jwst-pipeline.readthedocs.io/en/latest/jwst/data_products/index.html

Data product types

https://jwst-pipeline.readthedocs.io/en/latest/jwst/data_products/product_types.html

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author: daisuke
file: 20240514_00.html
category: Science___Astronomy
title: JWST のデータを入手する方法
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last modified: 2024/05/14 08:53:17 (UT+8)
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