The Experts below are selected from a list of 288 Experts worldwide ranked by ideXlab platform

Francis A Cucinotta - One of the best experts on this subject based on the ideXlab platform.

  • evaluation of skin cancer risk for lunar and Mars Missions
    Advances in Space Research, 2006
    Co-Authors: K George, Francis A Cucinotta
    Abstract:

    Abstract Methods used to estimate the probability of excess incidence of skin cancer from space radiation exposure must take into consideration the variability of dose to different areas of the body and the individual factors that may contribute to increased risk, including skin pigment and synergistic effects from combined ionizing and UV exposure. We have estimated the skin cancer risk for future lunar and Mars Missions using: (1) the multiplicative risk model for transferring the Japanese survivor data to the US population, (2) epidemiological data for the increased risk for skin locations exposed to combined UV and ionizing radiation, and (3) models of space radiation environments, transport, and anatomical shielding for 5260 skin loci. We have estimated that the probability for increased skin cancer risk from solar particle events varies more than 10-fold depending on the individual and area of skin exposed. We show that a skin cancer risk greater than 1% could occur for astronauts with light skin and hair color following exposure to medium or large class solar particle events during future lunar base operations, or from exposure to galactic cosmic rays during Mars Missions.

  • space radiation cancer risks and uncertainties for Mars Missions
    Radiation Research, 2001
    Co-Authors: Francis A Cucinotta, W Schimmerling, John Wilson, Leif E Peterson, G D Badhwar, Premkumar B Saganti, John F Dicello
    Abstract:

    Abstract Cucinotta, F. A., Schimmerling, W., Wilson, J. W., Peterson, L. E., Badhwar, G. D., Saganti, P. B. and Dicello, J. F. Space Radiation Cancer Risks and Uncertainties for Mars Missions. Radiat. Res. 156, 682–688 (2001). Projecting cancer risks from exposure to space radiation is highly uncertain because of the absence of data for humans and because of the limited radiobiology data available for estimating late effects from the high-energy and charge (HZE) ions present in the galactic cosmic rays (GCR). Cancer risk projections involve many biological and physical factors, each of which has a differential range of uncertainty due to the lack of data and knowledge. We discuss an uncertainty assessment within the linear-additivity model using the approach of Monte Carlo sampling from subjective error distributions that represent the lack of knowledge in each factor to quantify the overall uncertainty in risk projections. Calculations are performed using the space radiation environment and transport cod...

John F Dicello - One of the best experts on this subject based on the ideXlab platform.

  • Space radiation cancer risks and uncertainties for Mars Missions.
    Radiation research, 2020
    Co-Authors: F A Cucinotta, W Schimmerling, Leif E Peterson, G D Badhwar, Premkumar B Saganti, J W Wilson, John F Dicello
    Abstract:

    Projecting cancer risks from exposure to space radiation is highly uncertain because of the absence of data for humans and because of the limited radiobiology data available for estimating late effects from the high-energy and charge (HZE) ions present in the galactic cosmic rays (GCR). Cancer risk projections involve many biological and physical factors, each of which has a differential range of uncertainty due to the lack of data and knowledge. We discuss an uncertainty assessment within the linear-additivity model using the approach of Monte Carlo sampling from subjective error distributions that represent the lack of knowledge in each factor to quantify the overall uncertainty in risk projections. Calculations are performed using the space radiation environment and transport codes for several Mars mission scenarios. This approach leads to estimates of the uncertainties in cancer risk projections of 400-600% for a Mars mission. The uncertainties in the quality factors are dominant. Using safety standards developed for low-Earth orbit, long-term space Missions (>90 days) outside the Earth's magnetic field are currently unacceptable if the confidence levels in risk projections are considered. Because GCR exposures involve multiple particle or delta-ray tracks per cellular array, our results suggest that the shape of the dose response at low dose rates may be an additional uncertainty for estimating space radiation risks.

  • space radiation cancer risks and uncertainties for Mars Missions
    Radiation Research, 2001
    Co-Authors: Francis A Cucinotta, W Schimmerling, John Wilson, Leif E Peterson, G D Badhwar, Premkumar B Saganti, John F Dicello
    Abstract:

    Abstract Cucinotta, F. A., Schimmerling, W., Wilson, J. W., Peterson, L. E., Badhwar, G. D., Saganti, P. B. and Dicello, J. F. Space Radiation Cancer Risks and Uncertainties for Mars Missions. Radiat. Res. 156, 682–688 (2001). Projecting cancer risks from exposure to space radiation is highly uncertain because of the absence of data for humans and because of the limited radiobiology data available for estimating late effects from the high-energy and charge (HZE) ions present in the galactic cosmic rays (GCR). Cancer risk projections involve many biological and physical factors, each of which has a differential range of uncertainty due to the lack of data and knowledge. We discuss an uncertainty assessment within the linear-additivity model using the approach of Monte Carlo sampling from subjective error distributions that represent the lack of knowledge in each factor to quantify the overall uncertainty in risk projections. Calculations are performed using the space radiation environment and transport cod...

W Schimmerling - One of the best experts on this subject based on the ideXlab platform.

  • Space radiation cancer risks and uncertainties for Mars Missions.
    Radiation research, 2020
    Co-Authors: F A Cucinotta, W Schimmerling, Leif E Peterson, G D Badhwar, Premkumar B Saganti, J W Wilson, John F Dicello
    Abstract:

    Projecting cancer risks from exposure to space radiation is highly uncertain because of the absence of data for humans and because of the limited radiobiology data available for estimating late effects from the high-energy and charge (HZE) ions present in the galactic cosmic rays (GCR). Cancer risk projections involve many biological and physical factors, each of which has a differential range of uncertainty due to the lack of data and knowledge. We discuss an uncertainty assessment within the linear-additivity model using the approach of Monte Carlo sampling from subjective error distributions that represent the lack of knowledge in each factor to quantify the overall uncertainty in risk projections. Calculations are performed using the space radiation environment and transport codes for several Mars mission scenarios. This approach leads to estimates of the uncertainties in cancer risk projections of 400-600% for a Mars mission. The uncertainties in the quality factors are dominant. Using safety standards developed for low-Earth orbit, long-term space Missions (>90 days) outside the Earth's magnetic field are currently unacceptable if the confidence levels in risk projections are considered. Because GCR exposures involve multiple particle or delta-ray tracks per cellular array, our results suggest that the shape of the dose response at low dose rates may be an additional uncertainty for estimating space radiation risks.

  • space radiation cancer risks and uncertainties for Mars Missions
    Radiation Research, 2001
    Co-Authors: Francis A Cucinotta, W Schimmerling, John Wilson, Leif E Peterson, G D Badhwar, Premkumar B Saganti, John F Dicello
    Abstract:

    Abstract Cucinotta, F. A., Schimmerling, W., Wilson, J. W., Peterson, L. E., Badhwar, G. D., Saganti, P. B. and Dicello, J. F. Space Radiation Cancer Risks and Uncertainties for Mars Missions. Radiat. Res. 156, 682–688 (2001). Projecting cancer risks from exposure to space radiation is highly uncertain because of the absence of data for humans and because of the limited radiobiology data available for estimating late effects from the high-energy and charge (HZE) ions present in the galactic cosmic rays (GCR). Cancer risk projections involve many biological and physical factors, each of which has a differential range of uncertainty due to the lack of data and knowledge. We discuss an uncertainty assessment within the linear-additivity model using the approach of Monte Carlo sampling from subjective error distributions that represent the lack of knowledge in each factor to quantify the overall uncertainty in risk projections. Calculations are performed using the space radiation environment and transport cod...

G D Badhwar - One of the best experts on this subject based on the ideXlab platform.

  • Space radiation cancer risks and uncertainties for Mars Missions.
    Radiation research, 2020
    Co-Authors: F A Cucinotta, W Schimmerling, Leif E Peterson, G D Badhwar, Premkumar B Saganti, J W Wilson, John F Dicello
    Abstract:

    Projecting cancer risks from exposure to space radiation is highly uncertain because of the absence of data for humans and because of the limited radiobiology data available for estimating late effects from the high-energy and charge (HZE) ions present in the galactic cosmic rays (GCR). Cancer risk projections involve many biological and physical factors, each of which has a differential range of uncertainty due to the lack of data and knowledge. We discuss an uncertainty assessment within the linear-additivity model using the approach of Monte Carlo sampling from subjective error distributions that represent the lack of knowledge in each factor to quantify the overall uncertainty in risk projections. Calculations are performed using the space radiation environment and transport codes for several Mars mission scenarios. This approach leads to estimates of the uncertainties in cancer risk projections of 400-600% for a Mars mission. The uncertainties in the quality factors are dominant. Using safety standards developed for low-Earth orbit, long-term space Missions (>90 days) outside the Earth's magnetic field are currently unacceptable if the confidence levels in risk projections are considered. Because GCR exposures involve multiple particle or delta-ray tracks per cellular array, our results suggest that the shape of the dose response at low dose rates may be an additional uncertainty for estimating space radiation risks.

  • space radiation cancer risks and uncertainties for Mars Missions
    Radiation Research, 2001
    Co-Authors: Francis A Cucinotta, W Schimmerling, John Wilson, Leif E Peterson, G D Badhwar, Premkumar B Saganti, John F Dicello
    Abstract:

    Abstract Cucinotta, F. A., Schimmerling, W., Wilson, J. W., Peterson, L. E., Badhwar, G. D., Saganti, P. B. and Dicello, J. F. Space Radiation Cancer Risks and Uncertainties for Mars Missions. Radiat. Res. 156, 682–688 (2001). Projecting cancer risks from exposure to space radiation is highly uncertain because of the absence of data for humans and because of the limited radiobiology data available for estimating late effects from the high-energy and charge (HZE) ions present in the galactic cosmic rays (GCR). Cancer risk projections involve many biological and physical factors, each of which has a differential range of uncertainty due to the lack of data and knowledge. We discuss an uncertainty assessment within the linear-additivity model using the approach of Monte Carlo sampling from subjective error distributions that represent the lack of knowledge in each factor to quantify the overall uncertainty in risk projections. Calculations are performed using the space radiation environment and transport cod...

Premkumar B Saganti - One of the best experts on this subject based on the ideXlab platform.

  • Space radiation cancer risks and uncertainties for Mars Missions.
    Radiation research, 2020
    Co-Authors: F A Cucinotta, W Schimmerling, Leif E Peterson, G D Badhwar, Premkumar B Saganti, J W Wilson, John F Dicello
    Abstract:

    Projecting cancer risks from exposure to space radiation is highly uncertain because of the absence of data for humans and because of the limited radiobiology data available for estimating late effects from the high-energy and charge (HZE) ions present in the galactic cosmic rays (GCR). Cancer risk projections involve many biological and physical factors, each of which has a differential range of uncertainty due to the lack of data and knowledge. We discuss an uncertainty assessment within the linear-additivity model using the approach of Monte Carlo sampling from subjective error distributions that represent the lack of knowledge in each factor to quantify the overall uncertainty in risk projections. Calculations are performed using the space radiation environment and transport codes for several Mars mission scenarios. This approach leads to estimates of the uncertainties in cancer risk projections of 400-600% for a Mars mission. The uncertainties in the quality factors are dominant. Using safety standards developed for low-Earth orbit, long-term space Missions (>90 days) outside the Earth's magnetic field are currently unacceptable if the confidence levels in risk projections are considered. Because GCR exposures involve multiple particle or delta-ray tracks per cellular array, our results suggest that the shape of the dose response at low dose rates may be an additional uncertainty for estimating space radiation risks.

  • space radiation cancer risks and uncertainties for Mars Missions
    Radiation Research, 2001
    Co-Authors: Francis A Cucinotta, W Schimmerling, John Wilson, Leif E Peterson, G D Badhwar, Premkumar B Saganti, John F Dicello
    Abstract:

    Abstract Cucinotta, F. A., Schimmerling, W., Wilson, J. W., Peterson, L. E., Badhwar, G. D., Saganti, P. B. and Dicello, J. F. Space Radiation Cancer Risks and Uncertainties for Mars Missions. Radiat. Res. 156, 682–688 (2001). Projecting cancer risks from exposure to space radiation is highly uncertain because of the absence of data for humans and because of the limited radiobiology data available for estimating late effects from the high-energy and charge (HZE) ions present in the galactic cosmic rays (GCR). Cancer risk projections involve many biological and physical factors, each of which has a differential range of uncertainty due to the lack of data and knowledge. We discuss an uncertainty assessment within the linear-additivity model using the approach of Monte Carlo sampling from subjective error distributions that represent the lack of knowledge in each factor to quantify the overall uncertainty in risk projections. Calculations are performed using the space radiation environment and transport cod...