| Title |
On the superposition principle in interference experiments
|
|---|---|
| Published in |
Scientific Reports, May 2015
|
| DOI | 10.1038/srep10304 |
| Pubmed ID | |
| Authors |
Aninda Sinha, Aravind H. Vijay, Urbasi Sinha |
| Abstract |
The superposition principle is usually incorrectly applied in interference experiments. This has recently been investigated through numerics based on Finite Difference Time Domain (FDTD) methods as well as the Feynman path integral formalism. In the current work, we have derived an analytic formula for the Sorkin parameter which can be used to determine the deviation from the application of the principle. We have found excellent agreement between the analytic distribution and those that have been earlier estimated by numerical integration as well as resource intensive FDTD simulations. The analytic handle would be useful for comparing theory with future experiments. It is applicable both to physics based on classical wave equations as well as the non-relativistic Schrödinger equation. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 20% |
| United States | 1 | 20% |
| Comoros | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 3% |
| France | 1 | 3% |
| Unknown | 36 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 34% |
| Researcher | 6 | 16% |
| Student > Master | 5 | 13% |
| Professor | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 5 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 25 | 66% |
| Engineering | 3 | 8% |
| Materials Science | 2 | 5% |
| Economics, Econometrics and Finance | 1 | 3% |
| Unknown | 7 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 April 2020.
All research outputs
#7,379,168
of 24,010,679 outputs
Outputs from Scientific Reports
#49,767
of 130,315 outputs
Outputs of similar age
#83,918
of 267,638 outputs
Outputs of similar age from Scientific Reports
#528
of 1,473 outputs
Altmetric has tracked 24,010,679 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 130,315 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has gotten more attention than average, scoring higher than 61% of its peers.
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We're also able to compare this research output to 1,473 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.