I have taken a picture of this before... it was one of my best taken from my DSLR + simple star tracker setup.
However, you can see that the detail with the telescope+guided mount is much sharper.
With hydrogen & oxygen filters, I can separate the data cleanly, too.
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Incredibly, the photo is taken from my balcony in Vancouver, where there is a tremendous amount of light pollution, AND it was taken pretty much directly pointing at a 3/4 moon. It was not a DARK sky at all.
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But, it's an incredible application of physics and science. The photons from the nebula are there, but they are in specific wavelengths of light. I purchased a filter that very narrowly allows those wavelengths through. @antlia_filter
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Each five minute photo i take lets through an incredibly faint amount of data. In fact, this is what 1 five minute exposure looks like:
if you look very closely, you can faintly see some stars.
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However, there is data there! in the darkest areas of the picture, the camera is receiving photons of light. if we streeeettttttchhhhh the data as far as we can (exaggerated here for effect), there is a signal in the noise!!
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By "stacking" (repeating this signal>noise and adding the images together), what happens is that the random noise stays random, but the faint signal stays a signal, so the computer can start working out what is noise and what is signal even better!
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When I get this image I have incredible processing tools (Pixinsight, Photoshop), that allow me to remove the colour cast (this is because of the moonlight and the filter itself).
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From this point, its just a ton of practice and technique! I separate the colour layers so that i can work on Hydrogen alpha and Oxygen III data separately (with stars removed using machine learning!)
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There are many processes I use, but mostly it's bending the curves of light to boost signal while minimizing background (space) noise.
Voila!!! The final image is 6500x4000, more than enough for me to print!
total data: 3.5 hours. As I add more data, it will get better.
Placebo-controlled trials compare a vaccine to an inactive substance (placebo). This helps measure how effective the vaccine is. In the case of vaccines, often, the placebo is not "saline", but rather a previous vaccine or vaccine solution.
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When a safe, effective vaccine already exists, using an inactive placebo means some participants are deliberately left unprotected against disease. This creates unnecessary harm.
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Ethical standards require minimizing harm and offering participants the best available care. When a proven vaccine exists, denying it to anyone—regardless of location—is unethical.
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In Canada during the Delta wave, vaccination prevented infection (unvaccinated 6x higher chance of being infected). As well, being unvaccinated led to a 22X chance of being hospitalized and an 18X chance of dying.
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For confirmed infections, the IFR for unvaccinated was a whopping 2.4%. The IFR for being vaccinated was much lower, both due to preventing infection and reducing the consequences of it.
Delta was a very deadly strain, and unvaccinated people died/suffered the most.
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When Omicron hit, it was a strain that evaded vaccinations, leading to enormous numbers of infections, even in vaccinated people.
However, the immunity protection vs hospitalization and death was still enormous, and unvaccinated Canadians were 12X more likely to die.
Correcting revisionist history:
"COVID is not a problem for young people in the US"
Covid responsible (not "with", underlying cause) for 2% of all deaths <20. That's 1 out of every 50 deaths of all kids who die. #1 in infectious diseases, 5th in disease overall.
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COVID-19 deaths created 300,000 American orphans, 330,000 if we count "primary caregivers" and 380,000 if we count "secondary caregivers". That's a lot of childhood harm.
2x as common for Black kids
4x as common for Indigenous kids
1.6X as common for Hispanic kids
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Our most vulnerable children, with medical illnesses, suffered the most during the pandemic. Children with heart disease, respiratory disease, neurologic diseases, and chromosomal abnormalities suffered more severe symptoms than did children without those conditions.
Why do you use pronouns in your bio?
Because it's an easy way to promote inclusivity & to increase awareness of gender expression. It costs me nothing, &because I work with kids who are establishing their identity it shows that I don't make assumptions.
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Is being transgender a mental illness?
Being transgender is not a mental illness. It is a natural variation of human phenotype, though some transgender individuals may experience distress, called gender dysphoria, which is addressed through appropriate care.
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Can a man be a woman?
Yes. Some individuals identify as a gender different from their assigned sex at birth.
"What is a woman?"
A woman is a female by identity. This can refer to biological sex identity or social gender identity, depending on the context.
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🧵RFK Jr. is an antivax, AIDS-denying, absolutely antiscientific conspiracist.🧵
ANTIVAX:
“They get [vaccinated], that night they have a fever of 103, they go to sleep, and three months later their brain is gone... This is a Holocaust, what this is doing to our country.”
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ANTIVAX:
"I do believe that autism does come from vaccines"
Metaanalyses involving MILLIONS of children have confirmed there is no link. The lie started with another antivaxxer, disgraced fraudster Andrew Wakefield, who fabricated data.
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ANTIVAX:
"I've read all the science on autism and I can tell you, if you want to know... If it didn't come from the vaccines, then where did it come from?"
Autism primarily from combo of genetic factors & early brain development differences.
Battling Election Misinformation
Part 2: "The Mandate"
Contrary to media/republican pronouncements, the election of Donald Trump was one of the narrowest (by popular vote, +1.73%) in history, with only 7 elections since 1800 being narrower.
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In fact, if we look at the margin of victory when we include all eligible voters, Trump wins with 31.3% of the voting population, compared to Harris' 30.2% and 1% going to other candidates. 37.4% did not vote.
If we only include voters, Trump wins 50.03% to 49.97%
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When we look at the electoral college results, Trump won 58% of available electoral college votes. This would rank his election 41st out of 57 elections since 1800.