#Ritchey–Chrétien enjoyers thread

1 messages · Page 24 of 1

tall summit
digital nexus
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No I have those

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Do those go first

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?

tall summit
#

Yep

digital nexus
#

I need both right?

tall summit
#

Def 2inch one

digital nexus
#

I’m not gonna bother with the tilt plate until I see how bad the tilt is

tall summit
#

Honestly, I got it, but ended up not needing it

digital nexus
oblique sun
digital nexus
oblique sun
#

its m54 i think

tight lodge
#

For a sec I thought you broke it💀

digital nexus
#

I using m54

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I don’t have an m63 thing

oblique sun
#

time to adapt

tall summit
tall summit
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Nope

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Mine has zero play anywhere in the train

digital nexus
#

Bruh why is it doing that then

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@harsh matrix @frosty shard please hhelp

harsh matrix
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I dont have time rn

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Sorry

digital nexus
#

Or the mirror is moving too

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Is there a way to tighten the mirror?

tall summit
digital nexus
tall summit
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Push or pull

digital nexus
#

I tightened them

digital nexus
#

Does tightening the locking screws mess with Collimation?

tall summit
#

On a side of ota?

digital nexus
tall summit
#

These ARE the primary collimation screws

digital nexus
#

not according to this tho?

tall summit
#

Its a push-pull kind of thing

digital nexus
#

So Collimation is definitely messed up

tall summit
#

You loosen the big one as you need, then tighten the small one so it doesnt move back past that point

tall summit
digital nexus
#

Well it was just shipped from Texas to Pennsylvania. I was expecting that anyways

tall summit
#

What tools do you have?

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Cheshire?

digital nexus
#

I thought you didn’t need any for the DSI method

tall summit
#

Well, you want to get as close as possible before going under stars and doing dsi

digital nexus
digital nexus
tall summit
digital nexus
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I never used anything else for my dob

tall summit
#

At least make sure all circles are as concentric and as centered as possible

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Then do dsi

digital nexus
#

I can borrow a Collimation Hotech if I need to

tall summit
#

You might want to invest 30-40$ into making that tool I mentioned, going forward.

digital nexus
#

Would rather buy one

tall summit
#

I have a diy clone, makes it very convinient to allign and center things

digital nexus
tall summit
#

Clone will be about 30$ in amazon parts, original I believe is around 200$

tall summit
# digital nexus What is it

Today we test the OCAL Electronic Collimator on my SCT - because unfortunately I don't have a user-collimatable Newtonian telescope!

THANK YOU to Astronomical Solutions Company for sending me this unit! If you're in the area, you should have a look :)
ASC website: https://asc.co.om/
OCAL Collimator: https://astronomicalsolutions.com/product-bra...

▶ Play video
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Its basically an electronic cheshire

digital nexus
tall summit
#

Yeah, want a link?

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See how you do fist with what hou have, collimation cap also helps a lot with mechanical alignment

digital nexus
tall summit
# digital nexus On how to make one? Sure

I designed and built my own version of the OCAL, camera collimation device for Newtonian telescopes. It used an inexpensive usb camera and free, open source software.

Printables - https://www.printables.com/model/1232771-dcal-camera-collimator-for-reflecting-telescopes

USB Arduino Web Cam - https://amzn.to/4hBB4tl

42x0.75mm threaded extensio...

▶ Play video
harsh matrix
digital nexus
harsh matrix
#

You essentially pulled the mirror carrer into the locking screws

digital nexus
#

I dont understand

digital nexus
harsh matrix
digital nexus
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What should i have done

harsh matrix
#

Since the big screws will have messed up collimation.

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Tighten the small screws

digital nexus
#

collimation was already probably messed up

harsh matrix
#

I suspect that too

digital nexus
#

so i expected to have to do it anyways

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so nothing i need to freak out over

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so

Locking Screw - Small
Collimation Screw - Large

harsh matrix
#

It seems like this guy "collimated it" once by loosening the collimation screws to the point where the mirror could move on its own.

alpine flame
#

pretty sure thats the airy disk there

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thats a sign of high quality optics

high aspen
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@digital nexus are you using the rc to imag yer?

tight lodge
tight lodge
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yay or nay?

frosty shard
#

Alright due to a change of plans we're not oneshotting the Andromeda Galaxy

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We're oneshotting the Pleiades

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The first of 12 panels tonight

tight lodge
#

UuuuhmmonkaS

frosty shard
tight lodge
frosty shard
quartz meadow
frosty shard
#

Pleiades nuts

frosty shard
#

However, you might notice all my frames are marred with tilt :(

alpine flame
#

Wait only secondaries i think

high aspen
digital nexus
high aspen
candid flame
#

Also no signal = no bitches kekw

digital nexus
tight lodge
digital nexus
#

I was suggested to buy a gate handle from Lowe’s and screw it into my RC6 lol

high aspen
tight lodge
#

@harsh matrix Your fish head nebula was quite high rez. Did you also got this

fringe delta
#

is that 3 stars or what

high aspen
tall summit
tight lodge
tight lodge
fringe delta
#

yeah it does look like that a bit

silver ibex
#

I found a guy interested in my mount and another interested in the SCT reducer. The CEM70 guy also finally replied to my offer and we've decided on 2200€ which is nice

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Still waiting for the 10" RC dude to reply, there's also another CEM70 which might be better but the guy has yet to answer to me

high aspen
tight lodge
tall summit
tight lodge
tall summit
# high aspen barlow up >:3

I am contemplating taking the reducer off and embacing full FL at F9. When I started I had unmodded dlsr, so the difference between f9 and f6 was great

tall summit
# tight lodge 😅

The best I had with my CG4 was 0.38-39. But it takes an extra clear and crispy nights to get to those numbers

high aspen
#

bc i plan on doing that

tall summit
tight lodge
tight lodge
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No discussion

tall summit
# tight lodge OAG

Might come down to that, I'll see how that scope works out first. I kind of need it as a counterweight too, to compensate for the heavy back. My limit I think is 0.8x, without the reducer, so I am usually below it

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hah, I do see it in my subs:))

high aspen
high aspen
tall summit
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@high aspen what is FF

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@tight lodge I feel redeemed now lol

tight lodge
high aspen
tall summit
tall summit
# high aspen feild flatner

nah, It would make a shitty imaging scope I am sure:) I do have my old modded Canon laying around, kinda want to get a lens for it by summer to try some milky way shots

digital nexus
tall summit
digital nexus
tall summit
#

Oh, right, non carbon versions come with Crawford style usually

digital nexus
tall summit
digital nexus
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Not really upgrading, I’m keeping my other scope

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It’s an Askar 71f

tall summit
#

thats a nice FL spectrum you can cover now

digital nexus
tall summit
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490, 1370 and 920 with the reducer

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very sweet

high aspen
tight lodge
dense quiver
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oo nice

high aspen
harsh matrix
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It's definitely not present in the final image

tight lodge
harsh matrix
tight lodge
frosty shard
#

NINA live stacking 🅱️ like

tall summit
#

Holy gradient

frosty shard
harsh matrix
harsh matrix
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that explains that I guess

frosty shard
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Thanks for the quick sanity check

tight lodge
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@harsh matrix , Is this comparable with what your 6" got last year? #1326833769495269376 message

harsh matrix
#

that's got a long ways to go before I can get a better idea

tight lodge
frosty shard
tight lodge
silver ibex
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Damn I made an ad asking for RCs and this guy apparently had one with adaptive optics???

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Also 3" focuser esatto and Astrophysics corrector, I'm afraid this costs 8 or 9 kidneys

high aspen
tight lodge
silver ibex
tight lodge
# silver ibex 10"

Oooh. I know what AO he has. It's a Starlight Xpress. Something like this most likely

silver ibex
tight lodge
silver ibex
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But yeah normal guiding is absolutely fine

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I'll just ask for the tube

harsh matrix
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Its hard to judge the sharpness of the object without sufficient integration imo

harsh matrix
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Not by a whole lot, but by enough that I can see it

tight lodge
#

i just did a linear fit, channel combination, stretch and played a bit with the curves

high aspen
tight lodge
high aspen
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yea can

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and blows them easily

frosty shard
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I got locked out of my apartment after taking down my scope

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Waited 2.5 hours for someone to open the door

frosty shard
#

I think I might have to do a more traditional SHO process for this region

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that, and get more data

silver ibex
silver ibex
digital nexus
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ok RC6 update

  1. I tried my new mount last night, got around 0.9-0.6”. I need to tune the setting a bit, hopefully can get it consistent at least. This is good for my Askar 71f, but clearly not the RC6.

  2. Im working on getting an OAG from a club member. Unsure when but that’ll solve my guiding issue.

  3. My RC6 focuser ends in M63. I have M64. So the previous owner of the RC6 is sending me a spare M63-M48 adapter to me. That’ll let me actually use it.

  4. My rig uses too much power, too much amps for my sv241. So I need to buy another power supply to finish powering my rig.

So RC6 is unusable until I get an OAG and that M63 adapter. Great

crisp flower
#

Carried by noisex BUT i really Like it so far

harsh matrix
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Nothing in this hobby is easy

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Also that is essentially a second rig being built from scratch

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That makes the road even more bumpy than it already was to begin with.

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That's the frustrating thing about the hobby

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But once you've stuck through it all, ironed out the problems with both rigs, and you nail down the small stuff, it will be incredibly rewarding.

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Not just rewarding, but fulfilling as well.

digital nexus
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Last night was just my tried and true fractor

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new mount was the issue

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I bought a 50mm guide scope. so if I dont get that OAG, il hopefully have the Ragdoll settings down where I can get at most 0.5" Then the RC6 can finally be used

tight lodge
#

Good subs for a 130PDS?

frosty shard
# silver ibex When you do get more data I HAVE to try it

I'm trying to finish my Pleiades mosaic tonight at a dark site (well, in the sense that I get all panels, not necessarily getting all integration) but I can post the data I currently have and I'll definitely try to get more narrowband from home

vapid patio
#

@digital nexus btw i have been trained by veloren for about a year so feel free to ping me im always able to help

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i know a decent bit

tall summit
digital nexus
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My guide cam sucks though. It has micro disconnections

tall summit
digital nexus
#

proxisky doesnt recommend 0.5 for ragdolls

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1 wasnt working too well

tight lodge
#

This has to be one of the sharpest images I tookmonkaS

frosty shard
#

All panels of the Pleiades have been acquired

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I cannot wait to assemble them despite the low integration

tight lodge
#

Cursed Honse (2.5h)
kekw

harsh matrix
frosty shard
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We got clouded out pepeCryF

tight lodge
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Don't laugh at a honse next time😂

high aspen
frosty shard
frosty shard
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Unfortunately I already picked @harsh matrix's image to serve as my browser background on one of my PCs

tight lodge
frosty shard
#

I can use your honse as the new tab background on my phone actually

tight lodge
frosty shard
#

Well I guess the Pleiades is kind of a grind as a 12 panel mosaic

frosty shard
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Absolutely

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Excellent phone wallpaper material

tight lodge
#

Unintentionally I created a really nice phone wallpaper. Thank you Alnitak kekw

frosty shard
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Oh my god

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I apologize for sending that as a JPEG, but it's 9999x7777 pixels

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I think my sensor dewed up because Alcyone, Atlas, and Pleione have bright halos

tight lodge
#

MoooorepepeEvil

frosty shard
tight lodge
#

Later tonight tho

frosty shard
#

Warning: it is 1 GB of FITS data

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in one file

tight lodge
frosty shard
tight lodge
quartz meadow
high aspen
stiff mason
tight lodge
stiff mason
#

Stop making me regret buying a newtonian 😭

#

Well technically my mount is the bottle neck for my newt so it wouldn't matter anyway but like still

tight lodge
high aspen
tall summit
#

I ordered a star diagonal and somewhat quality 4element barlow, will be actually looking through my RC6 for the first time soon

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excited

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am I the only one who never observed through RC visually?

frosty shard
#

I am a big exception

tall summit
tall summit
frosty shard
sinful sapphire
tall summit
#

As is, its too tiny for any practical imaging

sinful sapphire
tall summit
sinful sapphire
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You screw it onto the camera and then attach it like you would an eyepiece

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The imx571 is essentially just a bigger imx533 which is still a somewhat popular pick for planets

tall summit
sinful sapphire
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Will be better than any phone image

tall summit
# sinful sapphire Will be better than any phone image
tall summit
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found this one

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@sinful sapphire this should do it, right?

tall summit
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oh maan, I am so happy I mentioned it, I was going to dust off my cell phone adapter

sinful sapphire
#

also note that this isnt good for DSO because it will cause vignetting on the corners

sinful sapphire
#

which is irrelevant for planetary but relevant for deep sky lol

tall summit
#

I did this with my cell phone, before getting in astro and knowing what I am doing

frosty shard
#

We interrupt your regularly scheduled programming to farm aura

frosty shard
tall summit
#

was proud of it as f*ck:))

frosty shard
tall summit
#

and shot with S25 ultra

tall summit
stiff mason
tight lodge
stiff mason
#

Cause mine look trash

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Also you dont have that mirror glare which I'm assuming you added a mirror mask as well

digital nexus
#

I plan on using mine for visual a bit. Here and there

frosty shard
digital nexus
#

What about compared to a dob

frosty shard
#

It's not the best choice for planetary but that doesn't mean it won't deliver a sharp image

frosty shard
digital nexus
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I’m doing it for planetary and lunar only really

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Visually

frosty shard
#

It's still pretty good for lunar and planetary

digital nexus
#

Just cause it can mount my star tracker better

tall summit
#

goto and tracking def go a long way making observation expirience better

frosty shard
#

The large CO means it won't be the ideal choice, but it will still gather plenty of light and deliver good resolution

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It just won't have the high contrast of, say, an f/15 Mak or Dob

high aspen
#

gregorians on axis have like a 0.01um spot size

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its crazy

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and obv you got a smol co

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you can make the co extemely smol with a greg

tight lodge
#

Spider

frosty shard
high aspen
frosty shard
#

Gregorians can get pretty long

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There's a reason why Cassegrains are more popular: you don't need the secondary to be as far away from the primary as with a Cassegrain

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Since you don't need to bring the light to focus before the secondary

frosty shard
#

That does work

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Though whether it's practical to construct is a different story...

high aspen
frosty shard
frosty shard
#

tl;dr: "Hubble moment"

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Poor null corrector usage or manufacturing is not rare

frosty shard
#

That's actually why ATMs would rather make an aplanantic Gregorian instead of an RC. The elliptical mirrors are easier to test (and IIRC they don't deviate much from hyperbolic)

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I still need to figure out what the equations are for an aplanatic Gregorian

high aspen
#

thats kinda cool actually

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also, im now gunna try the quick greggy

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i wonder if i could make it better somehow

frosty shard
high aspen
#

which im guessing is classic

frosty shard
high aspen
#

sub 0.04 is quite good

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its only got a 300mm effl

stiff mason
high aspen
#

hmmm

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elliptical primary

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hyperbolic secondsry

frosty shard
candid flame
high aspen
candid flame
candid flame
#

Lemme get that Weierstrass mirror just to see what happens galaxy_brain

frosty shard
#

@harsh matrix what mode do you use for your Touptek camera, and what are your gain/offset settings?

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I just realized I am absolutely not using optimal settings for my camera

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Which might explain why my data looks pretty noisy

harsh matrix
frosty shard
#

I ended up realizing the ATR533M, despite what I was initially led to believe, does not treat many of the settings the same as the ATR2600M

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I should be using a gain around 316 or so

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Gain 100 for me is like 2.1 electrons per ADU

frosty shard
#

It looks like unity gain is around 237 with my settings. I need to do more testing but oof, that is a lot of signal I've been leaving on the table

tall summit
#

New guide scope is in!

digital nexus
tall summit
#

@digital nexus Astromania 60mm 240mm fl

digital nexus
#

hope it works well enough

tall summit
#

I was guiding with 30mm f4 scope before, so I am sure it will

digital nexus
digital nexus
#

yea ik

tall summit
digital nexus
#

0.9-0.7 RMS"

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Having high peaks of 4" or 3" though

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not liking that

tall summit
#

I am really qurious if i'll see any change

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No clear weather in sight

tight lodge
#

The honse is doing well on AstrobinastroWOW

frosty shard
frosty shard
#

@harsh matrix you may find this useful

tight lodge
frosty shard
tight lodge
frosty shard
frosty shard
#

1 hour 30 minutes on Orion from Sunday night

high aspen
frosty shard
harsh matrix
frosty shard
harsh matrix
#

need to paint the front of that reducer

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im so nervous about it though 😭

frosty shard
harsh matrix
#

its how i go about painting it that makes me nervous

frosty shard
harsh matrix
#

i need to make sure i dont drip paint too thonk

#

it's been years since ive painted anything so i dont have the slightest clue about how to go about this

tight lodge
tight lodge
#

Aliexpress got my back to when it comes to mirrors

stiff mason
#

But these stupid clouds wont let me

harsh matrix
#

we're basically stealing a 585MM Pro

tight lodge
harsh matrix
tight lodge
#

You gonna pair it with the RC8?

harsh matrix
#

i would be over sampled to hell and back

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that would not be fun

#

it will pair fantastically with the quatt though

versed roost
frosty shard
harsh matrix
#

looks like it may have paid off finally

versed roost
#

does the mount work now?

harsh matrix
#

very well

versed roost
#

goated

harsh matrix
#

the new harmonic drive has very smooth periodic error

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with a peak to peak of 10"

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that beats all prior drives in both aspects

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easily the best harmonic I have had in one of these mounts

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it beats out a lot of other harmonics too

stiff mason
tight lodge
tight lodge
#

@frosty shard do you want a challenge? monkaHmm

digital nexus
#

What reducer do you guys recommend for my rc6

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I might get one eventually

quartz meadow
#

I mean the only thing you need to look out for, is that the reducer itself is not reflective

silver ibex
tight lodge
digital nexus
digital nexus
tight lodge
#

Brandon is still ignoring mekekw

digital nexus
tight lodge
digital nexus
#

With my 533 i thought i was sampled pretty good with my RC6

tight lodge
digital nexus
tight lodge
#

😅

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My 130PDS capped at 2.1"

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1.9 was absolutely insane ngl

digital nexus
#

I’m a refractor guy, Ive never nice worried about sampling

tight lodge
digital nexus
#

I have an M64 adapter and need M63 smh

#

Getting that Friday. Then I can collimate it and then hope I can guide it properly

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I might wait until I got my Ragdoll guiding good with my new guide scope.

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Or il have to wait for an OAG

tight lodge
#

This is my sampling

digital nexus
tight lodge
digital nexus
#

The RC6 is commonly used with the 533 so I’m not worried.

#

Oh

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Well I’m not worried

tight lodge
digital nexus
#

Yea il have to do some experimentation with binning.

tight lodge
#

So you can downscale your images in post-processing and get it fixed to some extent

#

This is what I got from binning my sensor

#

Very slight increase in SNR, but almost negligible

candid flame
tight lodge
#

That didn't strike me in the head💀

candid flame
#

The binned one is stretched harder, making the noise look worse rn

tall summit
candid flame
tight lodge
candid flame
tight lodge
candid flame
tight lodge
#

they are not sharp so keep that in mind. that night was pure junk that i decided to experiment with Bining rather than imaging

stiff mason
#

Now that same scope is over 600

candid flame
tight lodge
#

just a newt on a windy night

candid flame
tight lodge
candid flame
#

how is it hideous?

tight lodge
candid flame
#

you fwhm should ideally be 4px and in this one it's 4.8px, so you're slightly oversampled

high aspen
#

my fwhm is usually 3.8

#

so thats good????

candid flame
#

perfect 🔥

#

if it's in pixels and not arcsec

high aspen
tight lodge
candid flame
#

oh wow i think it's discord messing with it

candid flame
tight lodge
digital nexus
#

You guys think this will be enough for my Rc6?

high aspen
candid flame
candid flame
#

bin2 is defo looking better imo

#

tho it's much easier to see it the other way where you look at contrast tbf

candid flame
# candid flame

turns out it's not discord, just a human brain moment... i swapped them around here

candid flame
tight lodge
#

1.9"

candid flame
#

doesn't change the fact that sampling was good in the other image tho

#

it just had worse seeing

#

in fact, the sharp one is quite undersampled

tight lodge
candid flame
#

purely theoretically tho, your sampling should be 4x the seeing to not lose any information, tho the last 4x instead of 2-3x doesn't contain that much information anyways

#

basically you want to be slightly undersampled, because you get more signal per pixel, for a relatively small loss of sharpness

tight lodge
#

yeah, but at the same time, its good to be able to resolve very small details in the image

candid flame
#

ofc, but the difference in resolving power between 3x and 4x is almost negligible

#

that's why your divide by 2-3 calculator doesn't divide by 4 essentially

#

also that's why i'm saying your sharp image is undersampled, because an fwhm of 2px means your sampling is seeing/2, which is just on the border to undersampled, even by your calculator's standards

tight lodge
#

That's why I want the 10" quattro. Then reduce it to 670mm and have a similar sampling to the 130PDS buuut better resolving power and faster

candid flame
tight lodge
candid flame
#

me looking at the RASA with 620mm when you say you wanna reduce the quattro to 670mm btwwholesome

tight lodge
#

nor that i like to manually swap filters

candid flame
#

the image circle on the quattro will be absolutely screwed if you put a .67x reducer on it btw

#

like i think even APS-C will be problematic

tight lodge
#

@harsh matrix

candid flame
tight lodge
#

Left has better SNR

candid flame
#

are they denoised?

tight lodge
#

mine is, idk about Vel's one

harsh matrix
#

Mine is denoised quite heavily

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I can see more resolved detail as well

#

Specifically at the top of that dark band in the bottom right

tight lodge
harsh matrix
tight lodge
frosty shard
tight lodge
#

66h? monkaS

candid flame
harsh matrix
harsh matrix
candid flame
harsh matrix
candid flame
#

what

harsh matrix
#

well they dont determine resolved detail

tight lodge
frosty shard
harsh matrix
#

star sizes arent really relevant in the context of a stretched image

candid flame
#

in the linear image they absolutely are

frosty shard
harsh matrix
#

do to the way the math works with regards to sampling

#

the stars in Pickle's image will be bigger

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automatically

tight lodge
harsh matrix
#

so technically he will always have bigger stars than me

tight lodge
harsh matrix
frosty shard
# candid flame ?????????

When you have a larger central obstruction, you reduce the contrast (as seen on an MTF plot), but you can recover that contrast through deconvolution. What doesn't change (assuming your absolute aperture is the same) is the point where the contrast goes to zero. You can't recover any information beyond that point

harsh matrix
#

it's likely contributing to a non insignificant amount of star bloat on your end

frosty shard
harsh matrix
#

his CO is way smaller than mine

#

although i dont know what the %/% breakdown is

frosty shard
#

I can't make any statements on how BlurXterminator works in terms of detail recovery, but at least with classical deconvolution methods, more iterations causes the image to become noisier. Of course, you can get around that with more data

candid flame
#

how do you measure contrast in a linear image if not just SNR?

harsh matrix
candid flame
harsh matrix
frosty shard
harsh matrix
#

i kept dumping more and more time into those channels and they reached a point where they werent getting better

harsh matrix
#

which contributed to me having to denoise them heavily

frosty shard
harsh matrix
#

that reduced some level of sharpness and destroyed some fine detail in those channels

tight lodge
harsh matrix
tight lodge
#

or the Horse

harsh matrix
#

i dumped a butt load of time into H-alpha

#

that has no noise

candid flame
harsh matrix
#

the H-alpha is carrying the detail lol

frosty shard
#

You can evaluate it at a particular frequency though

harsh matrix
#

even SNR in and of itself is a bit arbitrary

#

you still cant really quantify it

candid flame
harsh matrix
#

you can try but it's always some kind of guess

candid flame
#

SNR =μ/σ by definition

frosty shard
#

best illustration of different modulation transfer functions and how they relate to the point spread function

harsh matrix
#

it isn't going to be an objective analysis

#

there's way too many factors to accurately quantify it

candid flame
harsh matrix
#

but the result is a guess

candid flame
#

what

harsh matrix
#

alright

candid flame
#

using the definition is not a guess.. it's a definition

harsh matrix
#

it's complicated

#

it's not as straight forward as you believe that it is

candid flame
#

it straight up is, your image just need to be absolutely calibrated, and ofc you can only do it on a uniform area to not catch the spread of the signal but only the noise

frosty shard
# harsh matrix it isn't going to be an objective analysis

Perhaps the better term is estimate? You can still get a decent estimate of SNR, since you definitely know μ (just the signal of a linear image) and σ is approximately proportional to the square root of μ assuming the dominant contributor to the noise is shot (Poisson) noise. (You could even factor in read noise and thermal noise, then add them in quadrature, but for a decently exposed image these are small contributions)

But for a given image, the exact contribution can't be known just because the noise might be closer to or farther from the ground truth in a particular image.

harsh matrix
harsh matrix
#

the thing is, pixel size, aperture, and focal length all play a role in SNR

candid flame
high aspen
frosty shard
harsh matrix
#

then you have to consider light pollution which doesn't exactly have a linear impact on your signal

#

even the properties of the light pollution change based on location

high aspen
#

guys, just get adaptive optics, simple as catmoon

frosty shard
#

Oh yeah, I forgot, normalization is going to alter your statistics

candid flame
candid flame
harsh matrix
# candid flame ...and in practice

...except the result will only be a rough estimate and will be different for everybody in the context of contrast present in each image

#

it still is not an exact science

candid flame
candid flame
#

boy do i have something to tell you lol

frosty shard
harsh matrix
#

oops

candid flame
candid flame
frosty shard
#

those are not incompatible statements

high aspen
candid flame
#

what am i estimating??? i'm just plugging into the formula bro

harsh matrix
#

this is what I was trying to say but I couldn't quite put my finger on it

harsh matrix
candid flame
harsh matrix
#

im trying to put it into words lmao

#

there's a graphic in my head i cant quite put into words atm

candid flame
#

it's all just definitions with formulas. there is no guessing. there is no estimation. it's just a calculation, the result of which we have defined to be called SNR

harsh matrix
#

anyway, by using the above equation, that is a derviative where you are estimating the area under a curve

#

the curve is the function that sigma defines

#

derivatives by definition are estimations

#

approximations

#

my bad

candid flame
#

what? there are no areas or curves. it's just a definition

harsh matrix
#

have you ever done calculus?

candid flame
#

yes

harsh matrix
#

okay you should get this lol

candid flame
#

but this is not calculus. it's a simple definition

frosty shard
# high aspen can you explain each part pleas

So the square of the standard deviation (σ) is the variance, and the variance is calculated by summing the squares of the differences between every individual data point (x_i) and the mean (μ), dividing it by the number of samples (N). Then you square root it to get the standard deviation

harsh matrix
#

this is calculus

#

the function is a derivative

candid flame
#

of course if you assume a posson distribution, you can do calculus, but this has nothing to do with a possion distribution

#

that's just a special case

harsh matrix
#

it is a function being used to approximate the area under the curve

#

what does N define here?

frosty shard
#

number of samples

harsh matrix
#

because that determines the accuracy of the approximation

#

okay

candid flame
#

pretty discrete imo, idk about your sensor tho

harsh matrix
#

samples or pixels?

harsh matrix
#

samples meaning pixels or subs?

candid flame
#

same thing in an image

#

pixels

#

there is only one image

#

we don't need multiple images

harsh matrix
#

that makes even more sense to me

high aspen
harsh matrix
#

the approximation of Sigma becomes more accurate with more pixels

#

however, the caveat is that Sigma is still an approximation

candid flame
harsh matrix
#

not an exact number

#

okay you are right

#

since it isnt approximating Sigma

#

however, you are still approximating something

frosty shard
#

Actually, no, it's still an approximation.

harsh matrix
#

which is the point

frosty shard
#

The standard error (SE) of a statistic (usually an estimator of a parameter, like the average or mean) is the standard deviation of its sampling distribution. The standard error is often used in calculations of confidence intervals.
The sampling distribution of a mean is generated by repeated sampling from the same population and recording the ...

candid flame
#

i'm not approximating anything

high aspen
#

i strech moar

harsh matrix
frosty shard
#

Yes, though it's bounded, assuming the distribution is well-behaved

harsh matrix
#

i could say i am adding everything in that but that isnt what the function is doing

candid flame
harsh matrix
#

i could say it is a sum which is a gross under representation of the purpose of the function

frosty shard
harsh matrix
candid flame
candid flame
#

you can always calculate σ even without knowing the distribution... you just plug into the formula

#

because we're not calculating the std of the distribution we think describes our data. we're calculating the std of the data itself

frosty shard
harsh matrix
#

that means you are taking a guess

#

i dont have time to argue in circles all day

#

this is a waste of my time

candid flame
#

basically there's σ_dist and σ_data. σ_data is an approximation for σ_dist, but the σ in the formula for SNR is σ_data, NOT sigma σ_dist, which means SNR doesn't include any approximations

#

and by the law of large numbers, σ_dist = σ_data as N goes to infinity, and the approximation will be practically perfect for like 10k pixels, which is just a 100x100 pixel area

#

(and also long before 10k pixels for that matter)

frosty shard
candid flame
#

ofc it assumes you have a uniform area of arbitrary size, which can be hard to find

#

but still, it doesn't even matter because we're using σ_data and not σ_dist

frosty shard
# candid flame what... law of large numbers is true for everyone lol

The statement (σ_dist = σ_data as N goes to infinity) relies on the central limit theorem, which most distributions of interest to us follow, but some (like the Cauchy distribution) don't.

Try finding μ or σ by sampling a Cauchy distribution. It never converges no matter how many samples you take.

#

The standard error in those descriptors is unbounded

#

Though to be fair you can get around that by using a different estimator

#

That's the point of clipped averages/pixel rejection, since these rare events can be hard to account for

#

Though there are also issues that arise with using different estimators

candid flame
candid flame
#

σ_dist will also go to infinity if they are cauchy distributed

harsh matrix
frosty shard
#

I don't think those are particularly large though

harsh matrix
#

It sort of feels like tou are throwing the baby out with the bath water in this discussion which was the discussion about contrast in the first place

candid flame
tight lodge
#

What have i madepepeCross

harsh matrix
#

Something which can be incredibly difficult to distinguish between different setups due to a number of factors.

harsh matrix
candid flame
#

to be exact σ_data estimates σ_dist, but that's irrelevant since σ_data is what we have to use in the formula

tight lodge
frosty shard
#

Hey I'm just in this to sharpen my knowledge of statistics, something I've only learned through practice, and I'm literally a PhD student in the physical sciences

#

Chemists aren't required to learn statistics astroface

frosty shard
frosty shard
#

What about generally?

candid flame
#

in fact, i'd even rather say it's the other way around. σ_dist estimates σ_data

#

because the data is what i'm truly interested in in the end

frosty shard
#

I'd take the opposite approach personally

#

Instead I'd say σ_dist generates σ_data, and I want to know what the distribution looks like for each pixel in an image

#

(The rationale: I want to write a denoiser)

candid flame
#

what do you mean by distribution of a single pixel in a single image? there is only one value

frosty shard
candid flame
#

oh yeah so distribution of a single pixel between many images

frosty shard
#

One issue I see with (non-AI) denoisers is that they really would benefit from more input data

candid flame
#

like denoise while stacking basically?

#

with all subs as input

frosty shard
#

Yup, because you can't assume simple Poisson statistics when you're trying to denoise a normalized stack

#

Also, most denoisers assume additive white Gaussian noise

#

Which is not very relevant to astrophotographers

candid flame
#

i mean, CLT makes it pretty relevant but i see your point

frosty shard
#

Makes what relevant?

candid flame
#

Gaussian noise

frosty shard
#

That's relevant, it's the additive part that's the issue.

candid flame
#

What does additive mean in exactly in this context? No negative value?

frosty shard
#

It means that we're corrupting the image by taking the original data and adding a random value from a Gaussian distribution to each pixel

#

Shot noise is submultiplicative, by contrast

#

The noise is proportional to the square root of the signal

#

Though there is also an additive component from background glow

candid flame
#

yeah but that requires you to know the mean value of your signal in absolute units

frosty shard
#

either way, it implies a denoising method built for shot noise should alter dark and light pixels differently

frosty shard
candid flame
frosty shard
candid flame
#

yeah exactly

#

also are you sure they use additive gaussian with the same distribution across the whole frame? when you want to simulate more noise with pixelmath, you usually multiply the gaussian by the pixels value (or sqrt maybe i don't remember)

frosty shard
candid flame
#

hmmm, i mean if you have much more light pollution than signal i guess

#

which is probably true for most of us 😭

silver ibex
silver ibex
candid flame
#

i think he meant the sum that defines the std of N samples is an approximation of the std of the distribution that generated them

digital nexus
#

Will this be stable enough

high aspen
#

pls push the weight further forwards

digital nexus
digital nexus
high aspen
harsh matrix
#

The definition of a derivative that I was given in my college was that a derivative is an approximation of the area under a curve.

#

So, from my perspective, I don't understand how what your saying is the case.

#

Especially since it wasn't just a single professor that made this "error"

silver ibex
#

Like, the limit of 1/x as x approaches +infinity isn't approaching zero, it is zero.

harsh matrix
#

I am going to be mighty embarrassed if my understanding has slipped so much in such short a time

#

And it could be that im stressed the hell out at work because of a major holiday tomorrow AwkwardSmile

#

Either way, I do not think it is appropriate for me to continue to discuss this because I am not thinking clearly at all

silver ibex
harsh matrix
#

https://youtu.be/SxbmvSIO7rg?si=21ihTCIykbXYIZrd

This guy is my source, albeit, the information is warped in my mind after not looking at it for a while.

Recently a couple great videos came out questioning the usefulness of SNR calculators. And yes, they can be problematic. But, if you have good data, some of them can get a good estimate.

For those videos, check out @setiv2 and @DylanODonnell 's videos here:
https://www.youtube.com/watch?v=vnaVrRWD9qk
https://www.youtube.com/watch?v=T7MSwo-V2vE...

▶ Play video
candid flame
harsh matrix
#

He draws some pretty important distingushments between the theory and the practice of SNR calculation in his series.

harsh matrix
#

That's what that equation looks like to my eye

candid flame
harsh matrix
#

Idk my understanding is that it was an approximation

silver ibex
candid flame
#

because the approximation gets arbitrarily good basically

#

for most functions*

silver ibex
#

I love the random star

#

The heart too

candid flame
#

italian 😭

candid flame
harsh matrix
#

I guess depending on the variables used to constrain the SNR, say mag/"^2 then that could be the case.

#

Which is more or less what I was trying to argue.

frosty shard
harsh matrix
#

Which is the more variables you consider in the calculation, the less objective the result becomes

candid flame
high aspen
silver ibex
silver ibex
candid flame
high aspen
#

i got 2 more in the next few weeks to fail too wholesome

harsh matrix
#

Hmmmmm hang on

#

Alright so I was getting ahead of myself

#

I know where the misunderstanding is coming from

harsh matrix
#

Measuring SNR in your own data is fine

silver ibex
#

Just... study, I guess?

harsh matrix
#

But this conversation came up because of a difference in sharpness aka, edge contrast

#

If you want to compare edge contrast by using SNR as the guiding principle, the reason why this is not a good idea is because the differences between Pickle's and I's setups are influenced by far more than SNR alone

#

Things like CO and light pollution must be taken into account to accurately measure edge contrast by using SNR as the guiding principle.

#

That's why I don't think using it to gauge edge contrast is a good idea.

#

There's too many variables at play to draw an objective conclusion based on SNR alone.

candid flame
#

oh yeah i totally agree that SNR is not a perfect measure of contrast, that's why we were talking about the Fourier transform of the PSF

harsh matrix
#

The misunderstanding comes fromt he fact that you and I were on different subjects entirely

#

I got lost in the intricacies and got confused as hell

harsh matrix
#

In that case Pickle's image will definitely appear sharper because his sampling is far more coarse.

candid flame
#

how so?

harsh matrix
#

My image was shot at native focal length and my seeing wasn't all that impressive by the end of that project which degraded the overall sharpness.

harsh matrix
#

I can give you some great examples with my own data later

#

It couldn't be more obvious once you've become accustomed to several setups of varying sampling rates.

candid flame
#

trust me i've tried a myriad of setups lol. Surely you don't just mean the sampling tho? like having bigger pixels would make your sampling coarser, but that definitely doesn't make it sharper

#

and honestly the seeing should be the limiting factor by far, unless you're using some mini frac

#

but really what originally started it, is whether the sharpness is determined by star shapes alone, which i still believe it is

harsh matrix
#

The seeing can mostly be disregarded in how disbursed the PSF is for smaller telescopes like Pickles since it takes a very unstable atmosphere to smear stars out on a shorter focal length telescope.

#

By nature of imaging at 1628 mm, my RC's stars are quite spread out

#

So the influence on the PSF is a softer star

candid flame
#

Ahhhhhhh, now I see the real misunderstanding

harsh matrix
#

Not something that appears small and restricted like with Pickle's rig.

candid flame
#

I see the seeing's influence as part of the star shape and PSF

#

Or well it's debatable whether it's part of the PSF, but it's definitely a part of the star shape

#

Because that way star shapes really do determine everything about the sharpness

harsh matrix
#

Yeah I don't necessarily mean in regards to how the seeing has effected the data in specific subs.

#

I mean in regards to how much the seeing effects imaging with a longer vs shorter focal length system and how THAT influences edge contrast.

#

Even THEN that's still not the only factor, unfortunately.

#

CO still plays a role in edge contrast, especially for my RC.

candid flame
harsh matrix
#

Which is why a frac is often touted as been preferred, it's because they lack a central obstruction which creates far better edge contrast that mine or pickle's scopes alone.

harsh matrix
#

My seeing wasn't all that bad throughout the duration of that project and decon could undo it relatively easily, however the CO still heavily influences edge contrast on structures too.

candid flame
harsh matrix
#

Something that while seeing does play a role with, doesn't affect it as much as one may think in relatively good seeing conditions.

#

That entire project stack had a final FWHM of <2.7"

#

The first 2 nights was about 2.1"

#

Also that's for the entire image, the FWHM in the center was way better.

harsh matrix
#

A small newt is relatively lucky in that they can kind of get around this with their much smaller CO's but I can't ignore it with my RC

candid flame
#

Yeah but my argument is still the exact same: anything that influences sharpness affects stars equally and vice versa, making star the star shape uniquely determine the sharpness of the rest of the image

#

There exists a bijection 🤓 ☝️

candid flame
#

Tho I guess he technically did say size and not shape

frosty shard
#

At least when producing a final image

candid flame
#

Oh yeah a lot

#

But does that mean we agree that star shapes determine sharpness completely?

#

*in the linear image

frosty shard
#

To be rigorous: what do you mean by sharpness?

harsh matrix
#

That's why I don't look at sharpness as an indicator, I look for the fine details, which define the resolution of an image.

#

Folks try to conflate resolution and sharpness as one and the same but to my eye, and my mind, they are completely different topics.

candid flame
frosty shard
#

If you're talking about small-scale contrast, then yeah, the contrast distribution is entirely determined by the PSF, which can be measured by star shapes.

candid flame
#

Something along the lines of the kernel you would convolve a perfectly sharp image with in order to get your image, but that really just makes the statement trivially true

#

But really I think the statement is true for any reasonable definition of sharpness

harsh matrix
#

Yes so in that sense

#

Pickle's is sharper

#

Objectively

frosty shard
#

If you're talking about the minimum scale of resolvable features, then you're limited by where the modulation transfer function becomes zero.

candid flame
frosty shard
#

Deconvolution essentially scales up certain parts of the MTF

#

Obviously you can't scale up something that's zero

#

That's part of the reason why deconvolution amplifies noise: if you push up the higher frequency components, that increases the local alternation in pixel values and the image becomes grainier

#

You can get around this by collecting more data though

candid flame
harsh matrix
candid flame
#

Nah watch me: 0*2=0

#

Just scaled up 0 to be twice as big

harsh matrix
#

You sure it's not 2?

frosty shard
#

0*2 = 2 for certain definitions of 0, 2, *, and =

harsh matrix
runic violet
#

r u guys ok

harsh matrix
#

No

candid flame
harsh matrix
frosty shard
#

I would have to think about how to define that

candid flame
harsh matrix
candid flame
#

Can't you always trade sharpness for SNR with a convolution, and vice versa with deconvolution?

runic violet
harsh matrix
#

Specifically with regards to how light pollution, extreme light pollution like in my yard, affects the edge contrast of structures.

#

ESPECIALLY with regards to faint outskirts of objects like galaxies

#

From home, the cores of my galaxies look super sharp, but the faint outer arms are always mushy and look like crap

candid flame
harsh matrix
#

But when I shot M33 from bortle 3 this year, I noticed it was just about equal sharpness throughout the entire galaxy.

harsh matrix
#

It corrodes the sharpness of an image

#

In my opinion

#

That's how I feel it affects my data, ignoring the worse signal overall.

frosty shard
# candid flame sharpness = SNR if you try hard enough?

If a particular frequency component is poorly sampled, you wouldn't be able to scale it up in a deconvolution operation without introducing more noise to the image. You could define this across subs easily, but I guess you could get some notion of this in an image if you take its (possibly padded) Fourier transform

candid flame
#

I wouldn't necessarily say it affects sharpness, tho possibly contrast. Like if you gathered enough data from your backyard to get the same SNR as from bottle 3, wouldn't the images be practically identical?

candid flame
harsh matrix
#

The answer is no

#

For the most part

runic violet
frosty shard
harsh matrix
#

The fainter regions of galaxies ive imaged in the past remain mushy and gross despite integration time.

harsh matrix
#

It's hard to put into words though thonk

#

I understand why I am thinking it is possible to have a relationship there and why that doesn't necessarily make sense by math alone.

frosty shard
#

Well perhaps I can. Let's assume (and this is really rough) that you have a sensor that contaminates the captured image with Gaussian noise

#

The modulus of the Fourier transform of the noise is 1 for every frequency component (it's complex-valued with random phases)

#

This corresponds with the fact that there's no correlation between the noise of individual pixels

#

But the modulation transfer function of the optical system drops off with frequency, unlike the noise