The present disclosure relates to a method for calibrating an optical sensor, an optical sensor and a related electronic device. The method includes: acquiring a plurality of spectral detection values of ambient light collected by the optical sensor; acquiring a plurality of first parameter detection values of the ambient light and the corresponding plurality of second parameter detection values according to the plurality of spectral detection values, a type of the first parameter detection values being different from a type of the second parameter detection values; determining at least one effective detection value from the plurality of first parameter detection values according to the plurality of second parameter detection values; and calibrating the optical sensor according to the at least one effective detection value.

The present disclosure relates to a method for calibrating an optical sensor, an optical sensor and a related electronic device. The method includes: acquiring a plurality of spectral detection values of ambient light collected by the optical sensor; acquiring a plurality of first parameter detection values of the ambient light and the corresponding plurality of second parameter detection values according to the plurality of spectral detection values, a type of the first parameter detection values being different from a type of the second parameter detection values; determining at least one effective detection value from the plurality of first parameter detection values according to the plurality of second parameter detection values; and calibrating the optical sensor according to the at least one effective detection value.

An apparatus for individually trapping atoms, individually imaging the atoms, and individually cooling the atoms to prevent loss of the atoms from the trap caused by the imaging. The apparatus can be implemented in various quantum computing, sensing, and metrology applications (e.g., in an atomic clock).

A chemical processing system for removing carbon dioxide from a gas mixture using a multicomponent amine-based scrubbing solution includes a spectroscopic evaluation system with a liquid contact probe for spectroscopic investigation, an energy source connected with the liquid contact probe to provide the spectroscopic stimulation energy to the probe, a spectrometer connected with the liquid contact probe to detect the spectroscopic response energy to the probe and to output spectral data corresponding to the spectroscopic response energy, and a machine learning spectral data analyzer connected to the spectrometer for evaluation of the spectral data to determine a concentration value for each of water, amine component and captured carbon dioxide in the scrubbing solution, the machine learning spectral data analyzer being trained for each such component over a corresponding trained concentration range, and optionally over a trained temperature range to provide a temperature-compensated concentration value.

Methods for wavelength determination of widely tunable lasers and systems thereof may be implemented with solid-state laser based photonic systems based on photonic integrated circuit technology as well as discrete table top systems such as widely-tunable external cavity lasers and systems. The methods allow integrated wavelength control enabling immediate system wavelength calibration without the need for external wavelength monitoring instruments. Wavelength determination is achieved using a monolithic solid-state based optical cavity with a well-defined transmission or reflection function acting as a wavelength etalon. The solid-state etalon may be used with a wavelength shift tracking component, e.g., a non-balanced interferometer, to calibrate the entire laser emission tuning curve within one wavelength sweep. The method is particularly useful for integrated photonic systems based on Vernier-filter mechanism where the starting wavelength is not known a-priori, or for compact widely tunable external cavity lasers eliminating the need for calibration of wavelength via external instruments.

The present disclosure provides a portable device and method for controlling an alcoholic beverage through an at least partially transparent container. The method includes acquiring a fluorescence spectrum of the beverage through a wall of the container, normalizing a profile of a measured spectrum according to the maximum intensity of a reference spectrum, calculating a resemblance factor between the measured spectrum and the reference spectrum, and determining if the beverage is genuine according to the obtained value of the resemblance factor.

An optical manufacturing process sensing and status indication system is taught that is able to utilize optical emissions from a manufacturing process to infer the state of the process. In one case, it is able to use these optical emissions to distinguish thermal phenomena on two timescales and to perform feature extraction and classification so that nominal process conditions may be uniquely distinguished from off-nominal process conditions at a given instant in time or over a sequential series of instants in time occurring over the duration of the manufacturing process. In other case, it is able to utilize these optical emissions to derive corresponding spectra and identify features within those spectra so that nominal process conditions may be uniquely distinguished from off-nominal process conditions at a given instant in time or over a sequential series of instants in time occurring over the duration of the manufacturing process.

A soot particle sensor includes a laser module including a laser and a detector configured for the detection of temperature radiation. The soot particle sensor provides that the laser is configured to generate laser light, and the soot particle sensor includes an optical element situated in the beam path of the laser of the laser module, which is configured to bundle laser light originating from the laser module in a spot, and the detector is situated in the soot particle sensor so that it detects the radiation originating from the spot.

A method for characterizing an aggregate sample involves using a first laser pulse to create a crater on the surface of a sample, using a second laser pulse to produce a plasma emission spectrum on the prepared crater surface, and detecting the emission spectrum to collect spectral data. Laser application, and detecting spectral emission are repeated on different points on the sample, then non-representative spectral data is discarded based on a ratio of ions to atoms in the data. Finally a calibration loading is used to determine a property characteristic of the aggregate sample. The sample may be an oil sands sample, and the properties detected may be percentages of bitumen, water, and solids. A laser-based system is provided for carrying out the characterization method.

Disclosed herein are a diagnostic method using laser induced breakdown spectrum analysis and a diagnostic device for performing the same. The diagnostic method may include projecting a pulsed laser to a suspicious specimen, obtaining first spectrum data on the light collected from the suspicious specimen, projecting the pulsed laser to a non-diseased specimen, obtaining second spectrum data on the light collected from the non-diseased specimen, and determining whether a disease is present in the suspicious specimen from a comparison value of the first spectrum data and the second spectrum data using an artificial neural network.