The 1998 High-Z Supernova Search Team paper by Adam Riess, Brian Schmidt and collaborators presented supernova evidence for acceleration.[ref]
The 1999 Supernova Cosmology Project paper by Saul Perlmutter and collaborators independently analysed 42 distant events. Alexei V. Filippenko coauthored both papers.[ref]
The High-Z Supernova Search Team search used the CTIO Blanco 4-m telescope and a charge-coupled device, comparing fields across dark runs. Difference images located rising candidates; Keck, MMT and ESO spectroscopy classified them and measured host redshifts. Follow-up photometry used filters approximating emitted B and V bands. Calibrated field stars transferred the magnitude zero point; late host images removed galaxy light, point spread function fits measured brightness, and inserted artificial stars tested recovery.[ref]
The Supernova Cosmology Project likewise discovered rising events with CTIO 4-m charge-coupled device imaging, then followed their light curves with several telescopes. Keck LRIS and ESO spectroscopy supplied classification and redshift, preferably from narrow host lines. Cross-filter K corrections connected received R/I observations to emitted B/V light.[ref]
Measurements of Omega and Lambda from 42 High-Redshift Supernovae by Saul Perlmutter and others. Section 2, PDF pp.2–3: apparatus and corrections
Why does fainter mean accelerating? First it means a larger inferred luminosity distance only at fixed standardized luminosity and corrected attenuation. Next it favours acceleration only after a comparison family is specified: an FLRW metric, representative propagation of light, common nearby and distant standardization, and controlled measurement calibration and selection. For the usual general relativity models containing nonnegative pressureless matter, spatial curvature of an FLRW universe and a cosmological constant, the shape of the Hubble diagram constrains and thus . A positive residual relative to one decelerating model rejects that prediction; it does not alone prove across arbitrary expansion histories or arbitrary opacity laws.
The essential advance is that a nearby sample fixes an intercept while a range of distant redshifts measures the shape. The two teams supplied independent observations and analysis, although common nearby calibrators and Type Ia supernova physics can produce shared uncertainties. The dark-energy acceleration criterion explains the interpretation within general relativity; the worked supernova distance comparison shows the size and sign of the effect without fitting any survey data.
Transit survey completeness 2026-10-20
The probability that a genuinely transiting planet with specified parameters is recovered by a survey and passes its selection procedure. It includes light curve noise, observing gaps, search algorithms and vetting. It differs from geometric transit probability; synthetic-transit injection and recovery can estimate it.
Type Ia supernova cosmology Created 2026-09-24 Updated 2026-10-18
Type Ia supernova cosmology uses standardized supernova luminosities to measure the shape of the luminosity-distance--redshift relation. In a spatially flat universe,An unknown common absolute luminosity is degenerate with the overall distance scale but does not erase the redshift dependence.
The useful observable is a relative luminosity distance at measured redshift, rather than an object's brightness alone. Spectroscopy supplies ; repeated photometry supplies a light curve. A Type Ia supernova is a standardizable candle: a fitted relation between light curve shape and luminosity replaces the incorrect assumption that every explosion has identical peak absolute magnitude. Nearby objects establish the relation and its common intercept; distant objects test its continuation and the shape of the Hubble diagram.
From repeated images and spectra to standardized brightness, relative luminosity distance and a conditional acceleration inference
. Functional schematic with arbitrary illustrative light curves. The redshift and distance readouts are separate measurements; inference of acceleration requires a specified cosmological model. Details. X-ray astronomy Created 2026-10-18 Updated 2026-10-20
X-ray astronomy infers the properties of celestial sources from their X-rays. It requires instruments above the strongly absorbing layers of Earth's terrestrial atmosphere. Riccardo Giacconi's 2002 Nobel lecture connects the early rocket detections to later grazing-incidence X-ray optics, which collect photons over a large entrance area onto a small detector.[ref]
The Dawn of X-Ray Astronomy by Riccardo Giacconi. The Dawn of X-Ray Astronomy, introduction and section 4, pp. 123–124
The measurement is an inverse problem: a count rate mixes incident photon arrival rate, detector response, and background. A point-like astronomical source produces a direction-dependent excess as the instrument scans; diffuse X-ray background contributes over many directions. Neither a count excess nor a narrow feature by itself determines the emission mechanism. The useful progression is from detecting an excess, to locating it, to measuring its spectrum and light curve.
