Hydrogen removes short-wavelength light from the sightline
Gas also fills the space between galaxies: the intergalactic medium. Its neutral hydrogen absorbs and scatters ultraviolet light. Gas at different distances places hydrogen absorption features at different observed wavelengths. Together, those effects can strongly suppress the shorter-wavelength side of a distant spectrum.
A simple reference cuts off all light below rest-frame 121.6 nanometres and transmits the longer-wavelength side. This captures the location of a high-redshift dropout. Real transmission varies with absorbers and sightline; Inoue and colleagues model mean attenuation from several absorber populations.
This reference lies near Lyman alpha. The classic redshift-three selections often exploited the shorter-wavelength Lyman continuum ionization edge. The spectral structures have different details, which matter when interpreting a particular sample.
Reading: Inoue et al. (2014) · Steidel et al. (1996)
A boundary crosses an entire passband
At redshift ten, wavelengths stretch by eleven, putting the declared boundary at about 1.3376 microns. It lies at 1.0944 microns for redshift eight and 1.7024 microns for redshift thirteen. Increasing redshift changes which filters lose light.
The four NIRCam curves below cover broad ranges. A passband describes how wavelengths contribute to the detected signal. When the boundary enters one filter, its longer-wavelength portion may still transmit light. The band’s integrated flux can therefore change smoothly as the boundary moves.
Reading: STScI · Inoue et al. (2014)
A photon detector combines the whole spectrum
The received photon signal depends on where light falls within the passband. Photon energy changes with wavelength, as does throughput. A quoted mean spectral density needs a weighting appropriate to that photon-counting response.
For a density expressed per unit frequency, the wavelength-integral weight is throughput divided by wavelength. The integrals add contributions from thin wavelength slices across the band.
| Specified synthetic source | Intrinsic UV magnitude | F115W input / nJy | F150W input / nJy |
|---|---|---|---|
| Redshift eight | −19.5 | 18.6 | 26.8 |
| Redshift ten | −19.5 | 0.0000613 | 18.7 |
| Redshift thirteen | −20.0 | 0 | 0.00137 |
Reading: STScI synphot · STScI · Sandbox Physics
Combine missing blue light with red detections
A physical source has nonnegative flux, but noisy estimates fluctuate around its true value. After background subtraction, a source with almost no blue light can have a small positive or negative measured flux. Retaining flux and uncertainty preserves that information before a significance test.
Signal-to-noise here is the measured total flux divided by its uncertainty. The specified selection requires signal-to-noise below two in F115W, above five in F150W and above three in F200W. The red measurements supply a credible source alongside the blue non-detection.
Dust also reddens colours. The saved thicker-screen example still passes: its F150W signal-to-noise is about 5.29, F200W about 5.47, and the blue band remains weak. Attenuation changes the spectrum; the actual measurements determine which side of the thresholds a source occupies.
A real candidate sample must also distinguish nearer galaxies, stars and noise. Modelling those alternative sources and comparing spectra makes it possible to investigate how reliably a colour-selected list identifies distant galaxies.
Reading: Sandbox Physics · Inoue et al. (2014)