ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
Latest Magazine Issues
Oct 2025
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
November 2025
Nuclear Technology
Fusion Science and Technology
October 2025
Latest News
Nano to begin drilling next week in Illinois
It’s been a good month for Nano Nuclear in the state of Illinois. On October 7, the Office of Governor J.B. Pritzker announced that the company would be awarded $6.8 million from the Reimagining Energy and Vehicles in Illinois Act to help fund the development of its new regional research and development facility in the Chicago suburb of Oak Brook.
Thomas E. Booth
Nuclear Science and Engineering | Volume 156 | Number 3 | July 2007 | Pages 403-407
Technical Paper | doi.org/10.13182/NSE07-A2707
Articles are hosted by Taylor and Francis Online.
A method to provide an unbiased Monte Carlo estimate of the reciprocal of an integral is described. In Monte Carlo transport calculations, one often uses a single sample as an estimate of an integral. This paper shows that a similar situation exists with respect to a single sample for an unbiased estimate of the reciprocal of an integral. If an appropriate approximation to the integrand is known, then obtaining a single unbiased estimate of the reciprocal of an integral will not be much more time consuming than obtaining a single unbiased estimate of the integral itself.