Anomaly aggregation and confirming old paper validity

In summary: However, there is no central repository for this information.In summary, there is no comparable group to the Particle Data Group that maintains a running, subject matter organized summary of peer reviewed experimental results with significant deviations from the Standard Model and their resolutions. However, there are private collections and resources available such as arXiv and various experiment websites. Additionally, there is no centralized index of Standard Model predictions that have not yet been tested, but experiments often have presentations of future measurements. There is also no central repository for this information on ruled out or valid parts of BSM models.
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ohwilleke
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The Particle Data Group keeps a running, subject matter organized summary of the state of the art experimental results for the experimentally measured properties of hadrons and measurements of fundamental physical constants that is updated at least annually.

Is there any comparable group that maintains a running, subject matter organized summary of peer reviewed experimental results that have statistically significant deviations from the Standard Model, and their resolutions, if any, in cases where they are superseded by latter evidence?

A resource like that would be useful in identifying ongoing anomalies (such as muonic hydrogen nuclear radius size, muon g-2, charged lepton universality violations) and also to serve a snopes-like function to determine if an old anomaly measurement has been resolved or remains outstanding.

Short of that, is there a good systemic way to do what in law we call "Shepardizing" to determine if a published conclusion in the past remains accepted or has been criticized or disproven? For example, suppose you were give a few Opera superluminal neutrino papers. Is there some easy way to learn that these findings were later retracted due to an experimental measurement flaw if you didn't know that from living through it?

In the opposite but related direction, is there any good subject matter organized index of published, peer reviewed papers that have confirmed Standard Model predictions? This would be a nice resource to be able to direct skeptics to and I would think that they number in the high hundreds or thousands. It would be similar to the PDG or the CRC Handbook of Chemistry and Physics which are also compilations of large volumes of basic physics research, but focused on Standard Model prediction confirmations.

For that matter, it would also be nice if there were some sort of index of Standard Model predictions that have been published but not yet tested experimentally as sort of a "to do list".

In a similar vein, are their any groups that maintain an up to date annotated summary of the ruled out and still valid parts of the parameter spaces of one or more BSM models (or both) on a similar basis? Every now and then someone publishes a review article, but it seems to be very catch as catch can, and if you don't watch the pre-prints (or track published work) pretty much every few days (let alone for a month or two), you could easily miss some important development on that front without knowing it.
 
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ohwilleke said:
Is there any comparable group that maintains a running, subject matter organized summary of peer reviewed experimental results that have statistically significant deviations from the Standard Model, and their resolutions, if any, in cases where they are superseded by latter evidence?
Not to my knowledge. There are some private collections in a few places, not necessarily up to date.
ohwilleke said:
For example, suppose you were give a few Opera superluminal neutrino papers. Is there some easy way to learn that these findings were later retracted due to an experimental measurement flaw if you didn't know that from living through it?
Looking for "OPERA" or "neutrino speed" on arXiv would be a good starting point.
ohwilleke said:
In the opposite but related direction, is there any good subject matter organized index of published, peer reviewed papers that have confirmed Standard Model predictions?
https://twiki.cern.ch/twiki/bin/view/ALICEpublic/ALICEPublicResults
https://twiki.cern.ch/twiki/bin/view/AtlasPublic
https://cms-results.web.cern.ch/cms-results/public-results/publications/
https://cds.cern.ch/collection/LHCb Papers

https://www-cdf.fnal.gov/CDForg/Physics_Groups.html
https://www-d0.fnal.gov/d0_publications/

https://oraweb.slac.stanford.edu/pls/slacquery/BABAR_DOCUMENTS.DISPATCH?P_TYPE=7&QFCN=INDEX
http://belle.kek.jp/bdocs/b_journal.html

Subtract the few anomalies if you want.
ohwilleke said:
For that matter, it would also be nice if there were some sort of index of Standard Model predictions that have been published but not yet tested experimentally as sort of a "to do list".
There are too many for a comprehensive list. The experiments have presentations of things they plan to measure in the coming years, after the next upgrade, and so on.
 
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1. What is anomaly aggregation?

Anomaly aggregation is the process of combining and analyzing data from multiple sources to identify and understand patterns or unusual occurrences that may not be apparent when looking at each source individually.

2. Why is it important to confirm the validity of old papers?

Confirming the validity of old papers is important because it ensures that the information and findings presented are accurate and reliable. This is especially important in the scientific community, where incorrect information can have far-reaching consequences.

3. How do scientists aggregate anomalies?

Scientists aggregate anomalies by collecting and collating data from various sources, such as experiments, observations, and literature reviews. They then use statistical analysis and other techniques to identify patterns and outliers that may indicate an anomaly.

4. What methods can be used to confirm the validity of old papers?

There are several methods that can be used to confirm the validity of old papers. These include replicating the study, conducting a meta-analysis, and verifying the data and methods used in the original study.

5. Can anomalies be used to challenge the validity of old papers?

Yes, anomalies can be used to challenge the validity of old papers. If an anomaly is identified in the original study, it may indicate that the findings are not accurate or that there are flaws in the methodology. Further investigation may be necessary to confirm or refute the validity of the paper.

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