When matter spirals into a black hole, it doesn’t go quietly. The superheated accretion disk blazes with X-rays that bounce off the warped spacetime near the event horizon, creating cosmic echoes that carry the fingerprints of gravity’s most extreme environment. These X-ray reverberations hold the keys to measuring fundamental black hole properties, but decoding them requires sophisticated modeling that accounts for relativistic effects and complex timing signatures.
Reltrans delivers exactly that capability through a comprehensive Fortran-based reverberation mapping model that works across the black hole zoo—from stellar-mass objects in X-ray binaries to supermassive giants lurking in active galactic nuclei. The toolkit models both time-averaged spectra and energy-dependent cross spectra, enabling researchers to characterize accretion flows and extract precise measurements of black hole mass, spin, and source distance. Its relativistic transfer functions account for the light-bending effects near black holes, making it a powerful tool for probing strong-field gravity.
Already cited in cutting-edge research, Reltrans is becoming the go-to solution for astronomers studying black hole accretion physics. Whether you’re analyzing data from missions like NICER, NuSTAR, or upcoming X-ray observatories, this model provides the theoretical framework needed to transform X-ray timing observations into fundamental insights about the universe’s most enigmatic objects.
⭐ Stars: 11
💻 Language: Fortran
🔗 Repository: reltrans/reltrans