Here’s the order of play for my #JWST look at the Orion Nebula & Trapezium Cluster over the coming week.

35 hours of observations spread over 6 days, generating ~3,500 images & ~140GB of data.

Probably worth a bit of background explanation.

1/
First things first.

Most astronomers would think of Orion as something to be observed in December. That's when it's opposite the Sun in the sky & is visible most of the night, culminating around midnight. I've spent many December nights observing Orion from Hawai'i & Chile.

2/
But things are different for #JWST, in orbit around the Sun-Earth L2 point, 1.5 million km from here, not tied to the rotation our planet.

And because of the design of the observatory, #JWST can't actually look in the anti-Sun direction to where Orion is in December.

3/
Hidden behind its tennis court-sized sunshield, which allows it to cool to -233ºC & become a super-sensitive IR observatory, the #JWST telescope essentially points orthogonal to the Sun line, albeit with some 50º of adjustment possible.

4/
By spinning the whole observatory around the Sun line, #JWST can sweep out an annulus on the celestial sphere, able to cover about 40% of the whole sky at any given time (taking into account that 50º pitch capability).

5/
As #JWST orbits L2 & as L2 follows Earth around the Sun during the year, the annulus that #JWST can observe also changes, meaning the whole sky can be seen (except the parts interior to L2, so no observations of the Moon, Earth, Venus, & Mercury).

Credit: Northrop-Grumman

6/
What does that mean for the observability of objects on the sky?

The plane of Earth's orbit around the Sun is called the ecliptic. The points directly above & below that plane are called the ecliptic poles.

Credit: Wikipedia / Tfr000

en.wikipedia.org/wiki/Ecliptic

7/
Given its geometry, #JWST can always point "up" & "down" & observe the north & south ecliptic poles all year round. Small regions around the poles are called "continuous viewing zones", always accessible for observations.

8/

jwst-docs.stsci.edu/jwst-observato…
That's great if your object is in a CVZ, but for many other targets, the timing is more restrictive.

Orion is one of those, as it lies ~7º from the ecliptic.

For that, we have to wait until Orion is roughly orthogonal to the #JWST Sun line & then roll the telescope there.

9/
If you think about it, that happens three months either side of December, when Orion is in the anti-Sun direction, along the #JWST Sun line.

(90º/360º = 1/4, 1/4 of a year is 3 months).

So with #JWST, Orion is observable in ~September & March each year.

10/
Which is why Christmas has come early & my guaranteed-time observations of Orion are happening this coming week 🎅

So, what exactly are we observing & why will it take a week to get "just" 35 hours of observations with #JWST?

11/
The basic reason is data volume: #JWST's NIRCam has lots of detectors & can generate lots of data quickly, filling up the 68GB of space-hardened solid state memory. That usually gets downlinked in two 4-hr periods per day, each up to 28GB.

12/

jwst-docs.stsci.edu/jwst-observato…
So my programme, which is taking *lots* of images, needs to be spread out to allow the data to be downloaded: in the meantime, other programmes generating less data will keep #JWST busy. The scheduling folk at STScI are masters of this & carefully balance mission resources.

13/
How much data? Well, NIRCam on #JWST has two separate modules capable of observing the sky simultaneously, with a gap between them.

jwst-docs.stsci.edu/jwst-near-infr…

14/
Each module has a short-wavelength channel with four 2048x2048 pixel detectors, again with small gaps, & a long-wavelength channel with a single 2048x2048 pixel detector covering the same field.

So (4 SW + 1 LW) x 2 modules = 10 detectors running simultaneously.

15/
Because of the gaps between the modules & the 4 SW detectors, you need to construct a pattern of telescope positions to create a mosaic without any gaps. This typically involves a heirarchical set of telescope pointings, primary, & sub-dithers.

16/

jwst-docs.stsci.edu/jwst-near-infr…
I'm not using a fully pre-canned sequence for my programme: I'm using the pattern called INTRAMODULEX for primary dithers to fill the gaps between the four SW detctors & then a custom mosaic to fill the bigger inter-module gaps & map the core of Orion.

17/
(If you're still with me at this point, I applaud you – making observations with #JWST is very definitely not just "taking snaps" & the complexity even in imaging mode can be fearsome. And that's just the observing – the data reduction & analysis is a whole other thing.)

18/
My mosaic uses 5x2 #JWST pointings. With the telescope oriented with the two NIRCam modules aligned in dec (N-S), I then scan out 5 just-overlapping positions in RA (E-W) & 2 well-overlapping positions N-S to cover the inter-module gap. And at each position, 6 dithers.

19/
At mosaic & dither positions, we'll be taking images through 10 different filters, 5 in the SW channel & 5 in the LW channel. These are designed to discover very-low mass brown dwarfs & planetary mass objects, as well as study jets, outflows, & circumstellar disks.

20/
For the aficionados, these are:

F187N + F470N/F444W
F212N + F300M
F140M + F335M
F162M/F150W2 + F360M
F182M + F277W

So lots of interesting science to be done with those.

21/
Each image will be just over 2 mins long, meaning ~13 mins per position per filter, & double that along the central E-W strip where there's overlap. There are bright stars & nebulosity in Orion, of course, but we've been careful to control saturation, we believe.

22/
We will also make a separate 7x2 mosaic with shorter integration times in the F115W & F444W filter pair – that will cover the same area but with much more E-W overlap between columns. That's to yield higher-precision registration network for the other mosaic.

23/
Adding up, we'll have 10 images per position (4 SW + 1 LW) & 5 x 2 x 6 positions in the first mosaic in 5 filter pairs, so 10 x 5 x 2 x 6 x 5 = 3000 images. In the registration mosaic, 10 images x 7 x 2 x 4 positions x 1 filter pair = 560 images.

So 3560 images in total 😬

24/
It'll take a lot of effort to reduce & analyse all this. I'll be doing this with @esa Research Fellow, Sam Pearson, but don't expect results or even images in super-short order. Luckily, we have a 12 month proprietary period to do a good job in & it *will* be worth the wait.

25/
@esa Finally, you may say "but I've seen #JWST images of Orion already".

Yes, from @OliBerne's ERS team two weeks ago. But that was just one NIRCam pointing with shorter exposures & different filters.

Here's the region being covered this week, deeper & in 12 filters 🙂

26/
It's amazing to realise that 20 yrs after proposing this project & 24 yrs after joining NGST/#JWST, it's finally happening.

Huge kudos to all at @nasa, @esa, @csa_asc, @stsci, industry, & academia who designed, built, & operate this astonishing observatory. Thank you 🙇‍♂️

27/27
Coda: if anyone has done the maths, you'll have realised that although the observations take 34.33 hours of time with #JWST, the amount of on-target integration is just 12.76 hours. Pointing, tracking, & dithering the telescope, plus turning filter wheels, etc., all eat up time.
Forgot to mention that the observations are split into 24 "visits", 10 for the 5x2 mosaic & 14 for the 7x2 mosaic. Each visit is far enough from the previous one to require a new guide star acquisition, to make sure the telescope tracks precisely. That also takes time.
These visits become individually-schedulable units which the STScI team can slot into the master schedule taking into account other observations, memory dumps etc. That's why the timings for the 24 visits seems a little random – it's all an optimisation thing.
There are 8 visits scheduled tomorrow, 26 Sep: these are from the 7x2 mosaic which has fewer dithers & just 1 filter pair, so doesn't generate so much data. But then there's a break to allow #JWST to go watch the #DARTmission collide with Dimorphos for @hbhammel et al. 🙂
@hbhammel Most of the remaining visits are the 5x2 mosaic with its 6 dithers & 5 filter pairs: these generate more data & are spread out a bit more from 28 Sep to 2 Oct. But at least each visit contains 10 of the 12 filters, so the effects of variablity in the young stars will be reduced.

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More from @markmccaughrean

Sep 6
Two spectacular new images of the Sun marking the inauguration of the #InouyeSolarTelescope on Haleakala, Maui.

They show the complementary nature of observing at different wavelengths: @ESASolarOrbiter extends this principle to those invisible from the ground.

HT @PlanRad Image of an 82,500km square region of the Sun at 18km resoluImage of an 82,500km square region of the Sun at 18km resolu
@ESASolarOrbiter @PlanRad Be sure to click & view at full-size: they're lovely.

Both show a an 82,500km square region of the Sun at 18km resolution.

L: in the emission line of H-beta at 486nm showing the chromosphere above the surface

R: in the Fraunhofer G-band at 430nm showing surface granulation
Read 4 tweets
Sep 6
Enter the spider's lair 🕸🕷

Great new #JWST image of 30 Doradus, the Tarantula Nebula, in the Large Magellanic Cloud.

Do follow the link & download the full-sized image if you dare – there's a huge amount of superb detail in there when you pan & zoom.

esawebb.org/news/weic2212/ JWST NIRCam mosaic of the Tarantula Nebula, 30 Doradus, in t
In the link you'll find NIRCam near-infrared & MIRI mid-infrared images of the Tarantula Nebula & the dense cluster of young stars, NGC2070, at its core, plus NIRSpec near-infrared integral field spectroscopy.

Also check out the @esascience thread:

@esascience These data were taken as part of the Early Release Observations set published & discussed on 12 July, but didn't make the cut then simply because there was so much other good stuff to show.
Read 5 tweets
Aug 25
Another great early science result from #JWST: the first unambiguous detection of CO2 in the atmosphere of an exoplanet.

Seen in one single transit of the planet WASP-39b in front of its star with the @esa-led NIRSpec instrument.

So much more to come.

esa.int/Science_Explor… Image
@esa This result comes from one of the Early Release Science programmes & is fully described in a paper that came out on arXiv overnight & will be published in Nature next week.

Congratulations to the large team of authors & everyone who made this possible.

arxiv.org/abs/2208.11692
@esa To add a bit of background here, the gas planet WASP-39b blocks about 2.5% of the light of its host star as it crosses in front of it from our perspective.

You can see that clearly in the top curve, which is about eight hours long – the transit takes about three. Image
Read 19 tweets
Aug 24
I believe strongly in the idea of the BBC & many parts of it do a brilliant job.

But it is impossible to deny that its news & current affairs output since Brexit has been heavily compromised by dark political influence, as @maitlis so cogently says.

theguardian.com/media/2022/aug…
@maitlis I find Question Time & Newsnight unwatchable now, & the glaring unwillingness in many news programmes to openly confront the deeply-damaging impact of Brexit & government failings during the pandemic & more widely has helped drive an ugly ideological wedge between many Britons.
@maitlis Call me biased if you will: I'm pro-European & liberal, & anti-nationalist. But show me the hard evidence that Brexit has yielded any benefits to the British public at large, beyond a tiny number of people who have taken advantage of disaster capitalism & backhanders from mates.
Read 6 tweets
Aug 23
About that “sound of a black hole” tweet.

An X-ray image of Perseus Cluster shows ripples in hot gas driven by a black hole.

A series of radial profiles in the image generate data curves. The frequencies are multiplied by ~200 quadrillion & then sonified.

So, err, not really.
The Chandra webpage gives a good explanation of what was done, but the result really isn’t “the sound of a black hole”.

Sonification of data sets like images, spectra, particle hit rates, etc. is fine for outreach & accessibility, but it’s important not to mislead or confuse.
Yes, inasmuch as the Chandra image shows ripples in gas & gas can transmit actual sound, this sonification is arguably a bit closer to real sound than sonifying magnetic fields, for example. But radial X-ray intensity profiles through ripples really don’t let us “hear” that gas.
Read 4 tweets
Aug 21
Wave-particle duality.

#JWST senses light from distant stars & galaxies as photons, their energy liberating electrons in the detectors.

But the light also has wave-like properties, interacting with the geometry of the telescope optics to create diffraction patterns. An image of a bright star as seen with JWST, its light diffr
This is a full-resolution blow-up of the star 2MASS J17554042+6551277, used for focus measurements in March 2022. Data processing by @gbrammer & @CosmicSprngJWST, with some enhancement by me in LightRoom.
@gbrammer @CosmicSprngJWST Dan Coe at @stsci made this colour combination using #JWST images in several different wavelengths from 0.7 to 4.4 microns, combined with his publicly-available Trilogy code.
Read 27 tweets

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