<p>This paper presents a novel approach to estimate the <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(\mu\)</EquationSource> </InlineEquation> and y-distortions in the Cosmic Microwave Background (CMB) using the COBE/FIRAS data. The analysis draws from the concept of blackbody radiation inversion (BRI), a mathematical technique typically used to determine the temperature distribution from a radiated power spectrum. We study the deviations from the ideal blackbody spectrum or the spectral distortions by incorporating first a non-zero chemical potential <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(\mu\)</EquationSource> </InlineEquation> via the Bose-Einstein distribution and then also adding the Compton parameter <i>y</i> while keeping the monopole temperature constant. We infer the results as probability distribution functions on these distortions. Finally, we derive <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(\mu = {(-\,0.656 \;\pm \; 2.048) \times 10^{-5}}\)</EquationSource> </InlineEquation> and <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\(y = {5.498 \times 10^{-10} \pm 2.775 \times 10^{-6}}\)</EquationSource> </InlineEquation> at a <InlineEquation ID="IEq7"> <EquationSource Format="TEX">\(68\%\)</EquationSource> </InlineEquation> confidence interval. Here we show how the BRI method performs in a test-case scenario, illustrating its potential for extracting spectral distortion parameters in CMB.</p>

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Estimation of \(\mu\) and y distortions in the cosmic microwave background with COBE/FIRAS data

  • Somita Dhal,
  • Koustav Konar,
  • R. K. Paul

摘要

This paper presents a novel approach to estimate the \(\mu\) and y-distortions in the Cosmic Microwave Background (CMB) using the COBE/FIRAS data. The analysis draws from the concept of blackbody radiation inversion (BRI), a mathematical technique typically used to determine the temperature distribution from a radiated power spectrum. We study the deviations from the ideal blackbody spectrum or the spectral distortions by incorporating first a non-zero chemical potential \(\mu\) via the Bose-Einstein distribution and then also adding the Compton parameter y while keeping the monopole temperature constant. We infer the results as probability distribution functions on these distortions. Finally, we derive \(\mu = {(-\,0.656 \;\pm \; 2.048) \times 10^{-5}}\) and \(y = {5.498 \times 10^{-10} \pm 2.775 \times 10^{-6}}\) at a \(68\%\) confidence interval. Here we show how the BRI method performs in a test-case scenario, illustrating its potential for extracting spectral distortion parameters in CMB.