Mitigation strategies against radiation-induced background for space astronomy missions

Space Radiation Cancer Risk Projections for Exploration Missions: Uncertainty Reduction and Mitigation

Late effects from the high charge and energy (HZE) ions present in the galactic cosmic rays (GCR) including cancer and the poorly understood risks to the central nervous system constitute the major risks for exploration missions. Methods used to project risk in low Earth orbit (LEO) are viewed as highly uncertain for projecting risks on exploration missions because of the limited radiobiology d...

Strategies for prediction and mitigation of radiation-induced liver toxicity

Although well described in the 1960s, liver toxicity secondary to radiation therapy, commonly known as radiation-induced liver disease (RILD), remains a major challenge. RILD encompasses two distinct clinical entities, a 'classic' form, composed of anicteric hepatomegaly, ascites and elevated alkaline phosphatase; and a 'non-classic' form, with liver transaminases elevated to more than five tim...

Deep space missions and the issue of overcoming the problem of space radiation

As a member of the United Nations Committee on the Peaceful Uses of Outer Space (COPUOS), Iran has a long-term space exploration program. Space radiation is one of the challenges facing humans when they go outside Earth's protective atmosphere and magnetic field. Space is an environment that the cardinal principles of radiation protection i.e. time, distance and shielding cannot be effectively ...

Mitigation of Potential Environmental Risks of Space Nuclear Power Sources (NPS) Missions in International Law

Space Radiation Effects For Future Technologies and Missions

A brief review is presented of radiation effects in microelectronics and electrical systems, sensors and detectors (including optoelectronic sensors), materials and astronaut crews, as well as current methods for quantifying the effects. Trends in technologies and future mission requirements are examined in order to identify the highest priority areas for the development of a modelling capability.