The mode structure fully describes a light field and contains the information about the source of light without a direct access to the source. Here we offer the tool to extract this information from the measured photon number resolved (PNR) distribution. We present a software package aimed at simulating photon-number probability distributions of a range of naturally occurring classical and non-classical states of light. This software can generate arbitrary probability distributions based on the known mode structure of a light field. It also can solve the reverse problem, i.e. reconstructing the mode structure of a light field based on a given probability distribution.
About this Dataset
| Title | Full Statistical Mode Reconstruction of a light field |
|---|---|
| Description | The mode structure fully describes a light field and contains the information about the source of light without a direct access to the source. Here we offer the tool to extract this information from the measured photon number resolved (PNR) distribution. We present a software package aimed at simulating photon-number probability distributions of a range of naturally occurring classical and non-classical states of light. This software can generate arbitrary probability distributions based on the known mode structure of a light field. It also can solve the reverse problem, i.e. reconstructing the mode structure of a light field based on a given probability distribution. |
| Modified | 2017-05-25 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:[email protected] |
| Keywords | photon-number resolved detection , quantum optics , parametric down-conversion , four-wave mixing , optical modes , nonclassicality , mesoscopic states , thermal statistics , poisson statistics , binomial statistics |
{
"identifier": "505F5B02CE53D819E0531A570681F84B1840",
"accessLevel": "public",
"contactPoint": {
"hasEmail": "mailto:[email protected]",
"fn": "Sergey Polyakov"
},
"programCode": [
"006:045"
],
"landingPage": "https:\/\/github.com\/usnistgov\/FSMR",
"title": "Full Statistical Mode Reconstruction of a light field",
"description": "The mode structure fully describes a light field and contains the information about the source of light without a direct access to the source. Here we offer the tool to extract this information from the measured photon number resolved (PNR) distribution. We present a software package aimed at simulating photon-number probability distributions of a range of naturally occurring classical and non-classical states of light. This software can generate arbitrary probability distributions based on the known mode structure of a light field. It also can solve the reverse problem, i.e. reconstructing the mode structure of a light field based on a given probability distribution.",
"language": [
"en"
],
"distribution": [
{
"accessURL": "https:\/\/github.com\/usnistgov\/FSMR",
"format": "Source code in C, precompiled examples",
"description": "We present a software package aimed at simulating photon-number probability distributions of a range of naturally occurring classical and non-classical states of light. This software can generate arbitrary probability distributions based on the known mode structure of a light field. It also can solve the reverse problem, i.e. reconstructing the mode structure of a light field based on a given probability distribution.",
"mediaType": "text\/plain",
"title": "Full Statistical Mode Reconstruction of a light field"
},
{
"accessURL": "https:\/\/doi.org\/10.18434\/M3388B"
}
],
"bureauCode": [
"006:55"
],
"modified": "2017-05-25 00:00:00",
"publisher": {
"@type": "org:Organization",
"name": "National Institute of Standards and Technology"
},
"theme": [
"Metrology:Optical, photometry, and laser metrology",
"Mathematics and Statistics:Statistical analysis",
"Physics:Optical physics",
"Physics:Quantum information science",
"Mathematics and Statistics:Numerical methods and software"
],
"keyword": [
"photon-number resolved detection",
"quantum optics",
"parametric down-conversion",
"four-wave mixing",
"optical modes",
"nonclassicality",
"mesoscopic states",
"thermal statistics",
"poisson statistics",
"binomial statistics"
]
}