{"id":56263,"date":"2024-03-15T07:01:23","date_gmt":"2024-03-15T07:01:23","guid":{"rendered":"http:\/\/56653b82-ee75-4376-b314-1acc39d34756"},"modified":"2024-03-15T08:32:31","modified_gmt":"2024-03-15T08:32:31","slug":"how-to-produce-your-own-space-images-using-james-webb-space-telescope-data","status":"publish","type":"rss_feed","link":"https:\/\/c01.purpledshub.com\/bbcskyatnight\/rss_feed\/how-to-produce-your-own-space-images-using-james-webb-space-telescope-data\/","title":{"rendered":"How to produce your own space images using James Webb Space Telescope data"},"content":{"rendered":"

Access the Webb Telescope’s RAW data and edit it using image processing to produce your own astrophotos. <\/p>

By Warren Keller\n <\/p>

Published: Friday, 15 March 2024 at 07:01 AM<\/p>

\n\n

Did you know that James Webb Space Telescope data is free and available for anyone to download and create their own images of space?<\/p>

We live in rather amazing times, with private citizens travelling to space and citizen scientists contributing to the knowledge base of professional astronomy.<\/p>

Now, just as it did with the Hubble Space Telescope<\/a>, NASA has made data from the James Webb Space Telescope<\/a> (JWST) available for download, for anyone to process for themselves.<\/p>

This isn’t as difficult as it sounds, but you may need a little help getting started.<\/p>

Below is an image of NGC 3132 that we processed ourselves using raw Webb data. Here we’ll walk you through how to do it, step-by-step.<\/p>

See the James Webb Space Telescope’s latest images<\/a> for inspiration and read our guide to image processing<\/a> for more advice.<\/strong><\/em><\/p>

NGC 3132, captured by the James Webb Space Telescope and processed by Warren Keller.<\/figcaption><\/figure>

How to get raw data from James Webb Space Telescope<\/strong><\/h2>

Visit the MAST Portal<\/a>, an archive named after Barbara Mikulski, a retired US senator and staunch supporter of space exploration.<\/p>

Clicking on Advanced search<\/strong><\/em> at the top of the page opens a new window.<\/p>

On the far right, type \u2018JWST\u2019 in the Mission<\/strong><\/em> box and press Enter<\/strong><\/em>.<\/p>

At far left, under Columns<\/strong><\/em>, select public <\/em><\/strong>Release date<\/strong><\/em> and scroll down to the box of the same name.<\/p>

Type \u20182022-07-13 14:00:00\u2019 as the beginning date and time \u2013 13 July 2022 being the day on which the first observations were released to the public.<\/p>

With the end date at default (the year 2050), note the number of Records found<\/strong><\/em> at the top of the page.<\/p>

At the time of writing, there were already over 1 million in the archive.<\/p>

\"Use
Use the MAST Portal to search for all available James Webb Space Telescope data<\/figcaption><\/figure>

As NGC 3132 is our target and was one of the first data sets released, entering an end date of \u20182022-07-13 16:00:00\u2019 displays a manageable 2,325 records.<\/p>

Clicking Search<\/strong><\/em> at top left reveals the individual file folders and you\u2019ll need to narrow the field yet again.<\/p>

Under Instrument<\/strong><\/em> in the Filters<\/strong><\/em> box at left, choose the near-infrared data by checking NIRCAM<\/strong><\/em>.<\/p>

Depending on the width of your monitor and browser window, you may need to use the scroll bar at the bottom to slide over to the Target name<\/strong><\/em> column.<\/p>

Also note the Filters<\/strong><\/em> column. I found F187N, F356W and F444W to be the most useful filters.<\/p>

Click on the floppy disc icons of records 13, 15 and 18 to download the zipped folders to your computer (see image below).<\/p>

\"process<\/figure>

Choose your colours<\/strong><\/h2>

Unzip the folder to a suitable location on your computer then open the parent folder, then a second folder with the same name and, finally, the JWST directory.<\/p>

Next, open the NIRCam<\/strong><\/em> folder, discarding all but the FITS file ending in \u2018i2d.\u2019<\/p>

Double-clicking that file will open seven individual files in your program of choice, mine being PixInsight.<\/p>

Of these, the seventh and last to open has a _SCI<\/strong> suffix and is the only file that you\u2019ll need.<\/p>

When finished, you will be left with three files to post-process, each ending in \u2018i2d.fits\u2019, with the filter names f444w_f470n, f356w and f187n.<\/p>

Those of us who process narrowband images will understand the concept of \u2018mapping\u2019 data that\u2019s invisible to the human eye to colours that we can perceive.<\/p>

The same is true here. Rather than the emission lines of the Hubble palette, we\u2019re now dealing with Webb\u2019s near-infrared information.<\/p>

How best to assign these filters? For guidance, search online for \u2018NIRCam Filters \u2013 JWST User Documentation\u2019 or visit the NIRCam Filters page<\/a>.<\/p>

There you will find a full-colour graph illustrating the transmission lines of each filter from short to long wavelengths.<\/p>

While there\u2019s no single, correct way to proceed, it made sense to me to assign the shortest wavelength data (F187N) to the blue channel, as blue is on the shorter end of the visible spectrum.<\/p>

Conversely, I mapped the long wavelength F470N data to red and the medium F356W to green.<\/p>

I found this to be the most aesthetically pleasing colour blend for this particular object, and strikingly similar to the Hubble SHO palette (see image below).<\/p>

\"process<\/figure>

After marrying the channels with PixInsight\u2019s Channel combination<\/strong><\/em> process, the images were cropped of edge artefacts and stretched with Histogram transformation<\/strong><\/em> (HT).<\/p>

Transferring a Boosted autostretch<\/strong><\/em> from the STF (Screen transfer function) to HT with the RGB channels unlinked provided a great start to good colour.<\/p>

PixInsight\u2019s SCNR (Subtractive chromatic noise reduction) was then applied to reduce an undesirable green cast in the stars (see image below).<\/p>

\"process<\/figure>

From there, a range mask was applied, so that contrast, sharpness and colour saturation could be boosted in the nebula only.<\/p>

As the data was so clean, no noise reduction was needed for our final image, which you can see at the very top of this page.<\/p>

If you\u2019re a Photoshop-based processor, be sure to view Nico Carver\u2019s excellent tutorial, \u2018Can I process the JWST data better than NASA?\u2019 on his \u2018Nebula Photos\u2019 YouTube channel, which you can view below.<\/p>