spacer
 
Advanced Search
Astrobiology Magazine Facebook  Astrobiology Magazine Twitter
  
Hot Topic Solar System Sun Predicting Space Radiation
 
Predicting Space Radiation
Source: University of New Hampshire press release
print PDF
Sun
Posted:   10/20/12

Summary: Astrophysicists have created the first online system for predicting and forecasting radiation in near-Earth, lunar, and martian space environments. The tool could be useful in predicting potential hazards for future missions to these locations.

 

Stuart A. Newman, Ph.D., professor of cell biology and anatomy at New York Medical College. Credit: New York Medical College

Astrophysicists from the University of New Hampshire’s Space Science Center (SSC) have created the first online system for predicting and forecasting the radiation environment in near-Earth, lunar, and Martian space environments. The near real-time tool will provide critical information as preparations are made for potential future manned missions to the Moon and Mars.

“If we send human beings back to the Moon, and especially if we’re able to go to Mars, it will be critical to have a system like this in place to protect astronauts from radiation hazards,” says associate professor of physics Nathan Schwadron of the UNH Institute for the Study of Earth, Oceans, and Space (EOS), which houses the SSC.

Schwadron is the lead developer of the new web-based tool known as PREDICCS, which for the first time integrates numerical models of space radiation, a host of real-time measurements being made by satellites currently in space, and “propagation codes” that can accurately project radiation levels out as far as Mars. The tool was made possible through NASA’s Living With A Star (LWS) Targeted Research and Technology program.

The website provides updates of the radiation environment on an hourly basis and archives the data weekly, monthly, and yearly. This historical record provides a clear picture of when a safe radiation dose limit is reached for skin or blood-forming organs, for example.

Nathan Schwadron, associate professor of physics and the University of New Hampshire. Credit: K.Donahue, UNH-EOS
Says Schwadron, “What we really need to know is how hazardous this cycle of radiation is. How often do we see large events that have significant risk associated with them? Those questions can only be answered if you’re continually building up the database of events and the risk associated with them.”

He notes further that the space science community has traditionally viewed radiation hazards in space as a “showstopper” and that until PREDICCS there has never been an extremely accurate, nearly real-time means of challenging that.

“There hasn’t been enough work done to ask, ‘Is it really a showstopper and, if so, why, and what are the problems we need to solve so that it isn’t a showstopper?’”

That work has now been done, and the proof is in PREDICCS.

Among other satellite measurements used by PREDICCS are solar energetic particle data from the Cosmic Ray Telescope for the Effects of Radiation (CRaTER) instrument on NASA’s Lunar Reconnaissance Orbiter. CRaTER, whose principal investigator is Harlan Spence, director of EOS and a co-developer of PREDICCS, has made the most accurate and comprehensive measurements of radiation at the Moon since the dawn of the space age.

During several recent large solar events in which the Sun, waking from an unusually long quiet period, sent billions of tons of high-energy particles rippling through space, the radiation levels measured by CRaTER as it orbited the Moon were matched almost perfectly by PREDICCS.

“For the whopping solar events of January 23 and March 27 of this year, our predictions seem to be within 20 to 30 percent of what was observed, which is incredible. These types of highly accurate comparisons have never been made before,” Schwadron says.

CRaTER, which gauges radiation doses using a high-tech material called “tissue-equivalent plastic” that mimics human muscle, has thus not only provided the validation that PREDICCS models are accurate, but has done so in the context of how the radiation data would impact human beings on the Moon or on a mission to Mars.

“We needed to accurately assess what the biological impacts are to make the best quantitative comparisons between models and observations,” says Schwadron, “and having a system like this in place now is sort of like flying a trial balloon in preparation for a return to the Moon and a trip to Mars.”

When in space, the cells of living organisms are battered by space radiation that can damage DNA. Predicting the radiation environment near Earth, the Moon and Mars could be vital for the success of future missions. Credit: NASA
To make its radiation assessments, PREDICCS integrates two radiation environment models, including the Earth-Moon-Mars Radiation Environment Module (EMMREM) developed at UNH.

“Complex applications like EMMREM are able to leverage observations from all relevant space missions,” notes NASA’s Madhulika Guhathakurta, LWS program scientist.

A blog has been developed for PREDICCS that allows people to understand how the tool works and how to interpret the various graphs of radiation dosage.

Note’s Schwadron, “For the first time people are able to see the affects of space radiation playing out in near real-time, and this opens a new window to an otherwise invisible world.”

The goal of the LWS is to develop the scientific understanding needed for the U.S. to effectively address those aspects of the connected Sun-Earth system that may affect life and society. The program’s Targeted Research and Technology objectives can be achieved by data analysis, theory and modeling, and the development of tools and methods.


Related Stories

Astrobiology Roadmap Goal 1: Life's future beyond Earth

Soil from Mars and the Moon as Radiation Shelter
New Mission Ready to Brave Earth's Radiation Belts
NASA Mars Rover Begins Research in Space
About Us
Contact Us
Links
Sitemap
Podcast Rss Feed
Daily News Story RSS Feed
Latest News Story RSS Feed
Learn more about RSS
Chief Editor & Executive Producer: Helen Matsos
Copyright © 2014, Astrobio.net