A Postdoctoral researcher requested the following quote.
I need to order a Si wafer of high enough purity to allow high transimmaion of mid-IR light around 3.5 um. Do you supply spectral data for such Si?
What we require is an intrinsic Si substrate without dopants. For our purposes, we require the transmission to be very high for mid-IR wavelength use and a refractive index value of the substrate to be freely available. We would also need to know the tolerance of the substrate thickness, as this is for a precision optics set-up.
I have been looking at your website and a 1000 um wafer is advertised (ID 1317) but we would need it double sided polished.
Reference #169530 for specs and pricing.
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Spectral data refers to information obtained from analyzing the spectrum of electromagnetic radiation (such as light) emitted, absorbed, or reflected by a substance. This data is often visualized as a graph of intensity (or another property) versus wavelength or frequency. Spectral data can reveal detailed information about the material's composition, molecular structure, and physical properties.
For example, in optical spectroscopy, spectral data might show absorption or emission lines corresponding to specific chemical elements or compounds. In mass spectrometry, it represents ion intensities at different mass-to-charge ratios, helping to identify molecular structures. Spectral data is widely used in fields like chemistry, astronomy, and materials science to study the interactions between radiation and matter.
Spectral data is important because it provides detailed insights into the composition, structure, and properties of materials or substances by analyzing how they interact with electromagnetic radiation. Here are some key reasons why spectral data is valuable:
Material Identification: It helps identify specific elements, compounds, or molecules based on their unique spectral signatures (absorption or emission patterns), making it essential in chemical analysis.
Non-destructive Analysis: Spectral measurements are often non-invasive and non-destructive, allowing for the study of delicate or valuable samples without altering or damaging them.
Quantitative Information: Spectral data can quantify concentrations of substances in a sample, which is critical for fields like environmental monitoring, pharmaceuticals, and materials science.
Physical Property Analysis: It provides information on molecular structure, bonding, energy states, and physical properties like temperature, pressure, and phase changes.
Wide Application Range: Spectral data is used across various industries, including astronomy (to study stars and galaxies), chemistry (for reactions and molecular analysis), and medicine (for diagnostic imaging and tests).
Overall, spectral data is a powerful tool for scientific research, quality control, and diagnostics in multiple fields.