I know you are busy but can you please update the science page?

https://milkyway.cs.rpi.edu/milkyway/science.php

It's kind of a landing page for newcommers, and when they read sentences like "the results will be published in the Astrophysical Journal soon (March-April 2013)" or "If all goes well, the Separation project should be complete in late-2013 to mid-2014", many of them will think "if they didn't care to update the results page for SEVEN YEARS, why would I care to compute for them?".

I decided to stop crunching for this project until the information is updated. There's no point in contributing cycles to a purpose I don't know.

I decided to stop crunching for this project until the information is updated. There's no point in contributing cycles to a purpose I don't know.

Good luck getting the info you desire at other Projects.

Not the most appropriate reply is it?

Not the most appropriate reply is it?

No it wasn't.

I've been involved with distributed computing since the Seti@home testing days back in 1999, sadly that project closed earlier this year. I ran Asteroids at Home for a while, but the whole project seems to have just tanked, now it appears that Milkyway is not reporting results - or at least updating members as to the situation if they are unable to work with the result due to lack of funding or other issues that stop them reporting actual science.

If researchers are hoping to keep people interested in partaking in distributed computing projects using BOINC or another platform, then people need to be kept in the loop and know why they are being asked to run their computers, what results are being had and highlighting anything found by a particular member. Eric Korpela, the project scientist and final director of Seti@Home was brilliant at this, always ensuring the community was kept up to date.

It is shoddy to not keep your contributors informed.

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BOINC User since April 1999
Seti@Home: 12,795,215
Einstien@Home: 60,451
Asteroids@Home: 1,231,769

If researchers are hoping to keep people interested in partaking in distributed computing projects using BOINC or another platform, then people need to be kept in the loop and know why they are being asked to run their computers, what results are being had and highlighting anything found by a particular member.
It is shoddy to not keep your contributors informed.

There are some recente publications of Milkyway:
"The Milky Way's Shell Structure Reveals the Time of a Radial Collision" or "An Algorithm for Reconstructing the Orphan Stream Progenitor with MilkyWay@home Volunteer Computing"

But are not advertized in home page, for example

Hi, auf https://boinc.berkeley.edu/dl , findet man, Boinc Version 17.16.16, für Windows 10 x64,, zum herunterladen.. :-)

Und, für , NVidia Geforce GPU, den Treiber 457.51 Notebook win10 64bit,, findet, man bei Nvidia, zum herunterladen. :-)

Also, An, Alle Nutzer, Bitte updaten, wenn man, Windows 10 x64 hat. :-)

MfG

Sascha Becker \ oetker201

sorry messed up here . . . ignore or delete this one. . .

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"less than a pixel"
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If researchers are hoping to keep people interested in partaking in distributed computing projects using BOINC or another platform, then people need to be kept in the loop and know why they are being asked to run their computers, what results are being had and highlighting anything found by a particular member.
It is shoddy to not keep your contributors informed.

There are some recente publications of Milkyway:
"The Milky Way's Shell Structure Reveals the Time of a Radial Collision" or "An Algorithm for Reconstructing the Orphan Stream Progenitor with MilkyWay@home Volunteer Computing"

But are not advertized in home page, for example

. . . clummzy tries once more . . .

yes and if you follow the social media links on the main page you can find:


on twitter:

post to a RPI-news page with links of a "Why Not Change the World"-RPI-podcast with Heidi Newberg and Tom Donlon from November 6th

and a link to a recent RPI news article with links to recent papers were also posted on twitter October 20th


on YouTube:

a shell structure simulation and an explainer video from Tom Donlon posted October 20th . . .

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"less than a pixel"
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Hi. Es, gibt, für NVidia Geforce GPU's, einen, Neuen Treiber, für Windows 10 x46. :-)



Auf, www.nvidia.de . Gibt, es, die Version 460.79 notebook win10 64bit , zum herunterladen. :-)



Und, damit, einen, Neuen, Treiber, zu installieren, und damit, ihn zu aktualisieren. :-)



Boinc, zuvor, Schlie0en, Treiber Updaten, Boinc Starten, und Benchmark durchführen. :-)



MfG



Sascha Becker \ oetker201

Hi. Es, gibt, einen, Neuen, Treiber, für, NVidia GPU - 460.89 notebook win10 64bit , auf, www.nvidia.de, herunterladen, und Updaten. Boinc, Beenden. :-).

Treiber, installieren, Boinc Starten, und Benchmark, durchfühtren.:-)

MfG :-)

Sascha Becker \ oetker201 :-)

Thank you for the links Jan Henrik, interesting content.

The 2019 paper with title "An Algorithm for Reconstructing the Orphan Stream Progenitor with MilkyWay@home Volunteer Computing" clearly benefited from MilkyWay@Home computing, paper (draft version) here; http://chttp://wcl.cs.rpi.edu/papers/Nbody_ApJ_19.pdf
I'm not sure if it ever was pressed, but supposedly it was accepted by The Astrophysical Journal. Couldn't find it anywhere though, other than the RPI site. The N-Body simulations for this study were executed on MilkyWay@Home.

Another paper I found is this one; "Fitting the Density Substructure of the Stellar Halo with MilkyWay@home" which is slightly older 2018, linked here; https://iopscience.iop.org/article/10.3847/1538-4365/aadb92/pdf
I believe that is using the Separation model for simulations.

Yet another paper is "The Virgo Overdensity Explained", 2019 by Donlon et al. https://iopscience.iop.org/article/10.3847/1538-4357/ab4f72/pdf, which does reference the N-body simulator from MilkyWay@Home, but not mentioning the community to run it (if I understand correctly, only specific runs had to be completed, limiting computational needs?).

When I looked for the paper that's being discussed in the most recent (2020) content and related Facebook posts, I end up here;
https://arxiv.org/pdf/2006.08764
Title is "The Milky Way's Shell Structure Reveals the Time of a Radial Collision" and it is published in The Astrophysical Journal, Volume 902, Issue 2, id.119, 27 pp.
I don't think this study utilized any of the Milkyway@Home distributed computing resources.

My liberal and highly uninformed interpretation is that the researchers have drawn most of the conclusions based on the Sloan Digital Sky Survey program data that was used for the initial MilkyWay@Home crunching. It seems that the more recent Gaia dataset and the GaiaData Processing and AnalysisConsortium (DPAC) now have a more prominent role in furthering their research. Of course keeping in mind that science is progressed by standing on the shoulders of Giants.
On the other hand, it could well be that a new study has spun up, executing silently, which one day will lead to new insights and publications. Or would we be expecting some changes in the Milkyway@Home model program (over Separation and N-body) or version-nrs to accommodate this? And perhaps increased engagement with the community?
The update by Eric in another thread is most recent on the direction maybe? Suggesting new models are in the works; https://milkyway.cs.rpi.edu/milkyway/forum_thread.php?id=2619&postid=69897

Generally, I do think it would be nice if papers/results that benefited from MilkyWay@Home would be updated on the main page. In fact, having contributed to this project for some time, I now dug into the above content to verify whether my commitment has led anywhere. So in addition to gaining new community support, it would be good to have this content easy to find to retain community commitment as well. And before anyone asks; Yes, my checking was triggered by the WU generation server issue just now ;).

Fixed link.
http://wcl.cs.rpi.edu/papers/Nbody_ApJ_19.pdf

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A list of Milkyway@home pubblications

Thanks for post Matthew. Would like to read dissertations of a Weiss (2018) and Shelton (2018). Those first two links are not working - any alternatives?

Appreciate your keeping a thumb on this site. Very interesting science.

Cheers
quicksilver

Would like to read dissertations of a Weiss (2018) and Shelton (2018). Those first two links are not working - any alternatives?

Ops, they removed the links.
Now i've updated with new urls.

Eight months later, it would be awesome to get at least some confirmation that our crunching is not in vain. Bumping the thread in hope that at some point the science page will be updated.

Same here. Project's site is outdated. It should be actualised for showing that the project is trustworthy and for to ensure users what theirs computers' energy and time have been spent for.

Galactic Debris as a Dark Matter Identifier

Crucial to the success of the S5 Collaboration’s maps are data from the Gaia space mission. Compared to data from ground-based measurements, those made by the Gaia space observatory can be used to more quickly and efficiently determine whether a target star is part of a stream, because its observations are not blurred by gases in Earth’s atmosphere, Li says. “Instead of 100, we only need to examine 10 [stars]” to identify one in a stream. Gaia can also be used to measure a star’s composition and its speed in the plane of the sky, providing chemistry information for each stream and 3D velocity information for each stream member.

https://physics.aps.org/articles/v15/18

I am wondering how relevant this is to the work here. Maybe someone with an astronomy background can look into it further.