Supernova Remnants: An Odyssey in Space after Stellar death

Supernova Remnants: An Odyssey in Space after Stellar death

Supernova Remnants: An Odyssey in Space after Stellar death


1st Abstract

Title (1st Abstract)

High-Energy Observations of Pulsar Wind Nebulae

First Author

Samar Safi-Harb


University of Manitoba, Canada

Presentation options

Invited Talks


3. Pulsar winds nebulae (including Crab flares)

1st Abstract

Pulsar Wind Nebulae (PWNe), the inflated bubbles of relativistic particles and magnetic fields injected by neutron stars, provide unique laboratories for probing Nature’s most powerful accelerators and the interaction of their winds with the surrounding SN ejecta or ISM. PWNe have become an important legacy of the Chandra X-ray Observatory and currently represent the largest population of identified Galactic very high-energy gamma-ray sources. I will review the growing X-ray and gamma-ray observations of these fascinating objects which, together with radio observations, allow us to infer the physical properties of these systems. I will focus on the PWN diversity among the SNR population, in connection with their debated SN progenitors and environment.

2nd Abstract

Title (2nd abstract)

Insights into pulsars' magnetic field evolution and energy loss mechanisms from studying pulsar-SNR associations

First Author (2nd abstract)

Samar Safi-Harb

Affiliation (2nd abstract)

University of Manitoba

Additional Authors (2nd abstract)

Adam Rogers (U. of Manitoba)

Presentation options (2nd abstract)


Session (2nd abstract)

4. Magnetic fields in SNRs and PWNe

2nd Abstract

The characteristic ages of neutron stars are often inconsistent with their hosting supernova remnant (SNR) ages. We address this discrepancy by studying a sample of pulsars, including those with extreme magnetic fields (such as magnetars and the Central Compact Objects), securely associated with SNRs. We discuss the implications of our study to magnetic field evolution in neutron stars and their distinct energy loss mechanisms.