Convert Msor To Sor -

To convert (Multi-wavelength Standard OTDR Record) files to standard

(Standard OTDR Record) files, you typically need to "split" the multi-wavelength file into individual traces, as the format generally supports only one wavelength per file. Primary Conversion Methods

The most reliable way to perform this conversion is through specialized fiber-optic analysis software provided by OTDR manufacturers. VIAVI FiberCable / FiberTrace

: These tools allow you to open MSOR files and export or save them as individual SOR files for reporting. EXFO FastReporter

: You can open multi-wavelength files (like iOLM or MSOR) and use the Export to OTDR SOR file Open the MSOR file in FastReporter. Right-click the file and select To OTDR SOR file . The software will generate separate convert msor to sor

files for each wavelength (e.g., one for 1310nm and one for 1550nm). Online Converters & Viewers : Sites like OnlineOTDR OTDR Converter

traces and generate reports in PDF or CSV formats, which often involves an internal conversion to a standard trace format. Mobile Apps : There are free Android viewers that support opening both files and can export them directly to PDF reports. Summary of Differences MSOR (Multi-wavelength SOR) SOR (Standard SOR) Wavelengths Multiple (e.g., 1310/1550/1625nm) Single wavelength per file Common Use High-density fiber testing, iOLM results Standard legacy reporting, basic analysis Portability Requires specific modern viewers Widely compatible with almost all OTDR software Reporting Steps To produce a final report after conversion: OTDR saves files in .nk format. How to convert to SOR file?

Original MSOR Code

import numpy as np
def msor_solve(A, b, omega1, omega2, tol=1e-6, max_iter=1000):
n = len(b)
x = np.zeros_like(b)
for _ in range(max_iter):
x_old = x.copy()
# Red points (even indices, for example)
for i in range(0, n, 2):
sigma = np.dot(A[i, :], x) - A[i, i] * x[i]
x[i] = (1 - omega1) * x[i] + (omega1 / A[i, i]) * (b[i] - sigma)
# Black points (odd indices)
for i in range(1, n, 2):
sigma = np.dot(A[i, :], x) - A[i, i] * x[i]
x[i] = (1 - omega2) * x[i] + (omega2 / A[i, i]) * (b[i] - sigma)
if np.linalg.norm(x - x_old) < tol:
break
return x

Part 1: Understanding the Core Concepts

Before converting, you must understand what each method does.

Part 4: Advanced Conversion – Theoretical Equivalence for Model Problems

For certain structured problems, you can convert MSOR to SOR exactly using transformation of the iteration matrix.

Consider the Poisson equation on a rectangular grid with red-black ordering. The MSOR iteration matrix ( \mathcalLMSOR(\omega_1, \omega_2) ) is similar to the SOR iteration matrix ( \mathcalLSOR(\omega) ) if:

[ \omega = \frac2(\omega_1 + \omega_2 - 2)\omega_1 \omega_2 - 4 ] To convert (Multi-wavelength Standard OTDR Record) files to

(derived from the eigenvalues of the Jacobi matrix).

Example: If ( \omega_1 = 1.2 ) and ( \omega_2 = 1.6 ), then: [ \omega = \frac2(1.2 + 1.6 - 2)(1.2 \times 1.6) - 4 = \frac2(0.8)1.92 - 4 = \frac1.6-2.08 \approx -0.769 ]

Wait — this yields a negative ( \omega ), which is invalid for SOR (must be between 0 and 2). This reveals an important insight: Some MSOR parameter pairs have no direct SOR equivalent.

In such cases, the conversion is not a simple parameter substitution. You must reformulate the problem using SOR with a preconditioner or switch to a different splitting (e.g., SSOR – Symmetric SOR). Original MSOR Code import numpy as np def