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HeirophantGreen t1_j1msb00 wrote

I wasn't presented with a translation option for tke article so I'm commenting based on only the title.

Kudos to her! That's amazing and I hope she never loses her curiosity and perseverance!!

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QuirkyKlyborg t1_j1mss72 wrote

> Terán dijo que todo comenzó el año pasado. “He participado en tres campañas. No es algo muy complejo, es algo muy sencillo, lo puede realizar cualquier persona”, dijo la joven, en un contacto con Red Uno.

I'd translate it like this:

Terán told us how it all started last year. "I've participated in three campaigns (efforts, programs, rotations). It's not that complicated, it's very simple, and anyone could have done it," said the young lady when speaking to Red Uno.

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Govoleo t1_j1muqfm wrote

yes it is.

discovering a new asteroid is only a matter of luck

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notenoughroomtofitmy t1_j1n6ly6 wrote

Yeah but kudos to the young kid for being clear about it instead of using it to brag like most of us would at her age.

Also, while it is true that anyone could have done it, she actually took the initiative and did it, while most kids her age haven’t done something like this. She took an interest, she went through the grind, she remained humble after the fact. That’s a kid raised well.

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rtphokie t1_j1nclih wrote

Same with the young man who “discovered” an exoplanet on his third day of a NASA internship.

It’s incredibly cool but really shouldn’t be read as an indicator of knowledge or skill of the discoverer.

Its luck. Right place, right time, right dataset on front on them.

They were able to follow instructions however, something not every 17 year old can do

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hgaterms t1_j1ne6tj wrote

Wasn't this the start of Deep Impact? A teenager discovered an asteroid, and then it tried to kill us all.

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Pharisaeus t1_j1nqghc wrote

Pretty much all astronomical data are freely available and anyone can download them. In the past you had to request observing time to look at some specific targets, but right now there is high probability that what you're interested in is already available in the archives.

The problem is actually on the other side -> there aren't enough people or computing resources to scan petabytes of data.

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mcmalloy t1_j1nqnyi wrote

Yeah, but my teen self would have been ecstatic over such a find! It’s also relatively easy to catalog & analyse current supernova candidates. Although not everybody has access to a spectrograph & a decent telescope haha

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noobguy57 t1_j1nvec5 wrote

My astronomy class did an asteroid search. All of the data is publicly available. Same with the software too. Was really fun to search for asteroids.

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Mad-Lad-of-RVA t1_j1xi9sc wrote

>Pretty much all astronomical data are freely available and anyone can download them. In the past you had to request observing time to look at some specific targets, but right now there is high probability that what you're interested in is already available in the archives.

Where does one look or what does one search for in order to locate this data?

I'm beginning computer science classes this semester in college and, as my skills increase, this would be fun to play with.

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Pharisaeus t1_j1yptbl wrote

Two ways you can approach that:

  • each observatory has their own archive interface (you can just search for "jwst archive", "hubble archive", "eso archive" etc.)
  • some observatories implement so-called Virtual Observatory protocols, which in principal allows to query all of them using the same code or the same tools (there are some tools like Aladin Sky which support those)

Depending on your goal either of those might be more useful. First option provides much more in-depth tools and is useful if you're looking for specific type of data - eg. you want data from particular instrument. Second option is useful if you're interested in data about some specific target, and you want to get all available observations of such target.

There is also one more thing to consider -> archives provide two types of data:

  • raw data
  • science data

Raw data means essentially a direct read-out of the instrument which requires complex multi-stage processing and combining with other data (aka: calibrations) before you get something useful. This is useful if you are developing some special processing steps, or if you know something particular about the target and you can configure parameters for the processing better than the default ones.

Second option is more useful if your intention is just to search and analyse science data.

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