Bibliographic Details
| Title: |
Photometric redshift estimation for gamma-ray bursts from the early Universe. |
| Authors: |
Fausey, H M1 (AUTHOR) hfausey@gwu.edu, van der Horst, A J1 (AUTHOR), White, N E1 (AUTHOR), Seiffert, M2 (AUTHOR), Willems, P2 (AUTHOR), Young, E T3 (AUTHOR), Kann, D A4 (AUTHOR), Ghirlanda, G5,6 (AUTHOR), Salvaterra, R7 (AUTHOR), Tanvir, N R8 (AUTHOR), Levan, A9 (AUTHOR), Moss, M1 (AUTHOR), Chang, T-C2 (AUTHOR), Fruchter, A10 (AUTHOR), Guiriec, S1 (AUTHOR), Hartmann, D H11 (AUTHOR), Kouveliotou, C1 (AUTHOR), Granot, J1,12,13 (AUTHOR), Lidz, A14 (AUTHOR) |
| Source: |
Monthly Notices of the Royal Astronomical Society. Dec2023, Vol. 526 Issue 3, p4599-4612. 14p. |
| Subject Terms: |
*GAMMA ray bursts, *REDSHIFT, *FALSE alarms, UNIVERSE |
| Abstract: |
Future detection of high-redshift gamma-ray bursts (GRBs) will be an important tool for studying the early Universe. Fast and accurate redshift estimation for detected GRBs is key for encouraging rapid follow-up observations by ground- and space-based telescopes. Low-redshift dusty interlopers pose the biggest challenge for GRB redshift estimation using broad photometric bands, as their high extinction can mimic a high-redshift GRB. To assess false alarms of high-redshift GRB photometric measurements, we simulate and fit a variety of GRBs using phozzy , a simulation code developed to estimate GRB photometric redshifts, and test the ability to distinguish between high- and low-redshift GRBs when using simultaneously observed photometric bands. We run the code with the wavelength bands and instrument parameters for the Photo-z Infrared Telescope (PIRT), an instrument designed for the Gamow mission concept. We explore various distributions of host galaxy extinction as a function of redshift, and their effect on the completeness and purity of a high-redshift GRB search with the PIRT. We find that for assumptions based on current observations, the completeness and purity range from ∼82 to 88 per cent and from ∼84 to |$\gt 99~{{\ \rm per\ cent}}$| , respectively. For the priors optimized to reduce false positives, only |$\sim 0.6~{{\ \rm per\ cent}}$| of low-redshift GRBs will be mistaken as a high-redshift one, corresponding to ∼1 false alarm per 500 detected GRBs. [ABSTRACT FROM AUTHOR] |
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