Nonthermal hot dark matter from inflaton or moduli decay: Momentum distribution and relaxation of the cosmological mass bound

Bhattacharya, S.; Das, Subinoy; Dutta, Koushik; Gangopadhyay, Mayukh R.; Mahanta, Ratul; Maharana, Anshuman

doi:10.1103/physrevd.103.063503

Cited by 14 publications

(10 citation statements)

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“…In this section, we present the results from the Nbody simulation, and discuss the differences between the best-fit ΛCDM model and the nonthermal LiMR model, focusing on three different "observables". As mentioned previously, we focus specifically on the results of simulations with the nonthermal LiMR model (Bhattacharya et al 2021) in this section. We refer the reader to Appendix A for a comparison with other LiMR models defined by their velocity distributions.…”

Section: Resultsmentioning

confidence: 99%

“…We use cosmological N -body simulations which actively model both the cold and LiMR components simultaneously. In the main text, the prototypical model used for the first study is that of Bhattacharya et al (2021); ; preliminary studies involving other distribution functions were carried out in the appendix. Let us summarise our results:…”

Section: Discussion and Summarymentioning

confidence: 99%

“…4, and the issues discussed in Sec. 5, while formally derived from the specific nonthermal LiMR model from Bhattacharya et al (2021), can be generalized to the Dodelson-Widrow class of models. For the Gaussian model, which was tuned such that the velocity distribution quite different from the other models, the small scale structure signatures are also quite distinct.…”

Section: Discussion and Summarymentioning

confidence: 99%

“…A Non-thermal distribution from decays: LiMRs with a non-thermal distribution can also be produced from the decay of a heavy scalar (Hasenkamp & Kersten 2013;Conlon & Marsh 2013;Miller et al 2019;Bhattacharya et al 2021). In this case, the explicit form of the distribution function is a bit complicated.…”

Section: Sterile Limrs and Their Impact On Linear Cosmologymentioning

confidence: 99%

“…To keep the discussion of the paper focused, we will work with the non-thermal distribution from decays discussed in (Bhattacharya et al 2021; in the main text of the paper. The model parameter will be taken to be described above, i.e, best fit to Planck with a S 8 prior.…”

Section: Sterile Limrs and Their Impact On Linear Cosmologymentioning

confidence: 99%

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Signatures of Light Massive Relics on nonlinear structure formation

Banerjee,

Das,

Maharana

et al. 2022

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Cosmologies with Light Massive Relics (LiMRs) as a subdominant component of the dark sector are well-motivated from a particle physics perspective, and can also have implications for the σ 8 tension between early and late time probes of matter clustering. The effects of LiMRs on the Cosmic Microwave Background (CMB) and structure formation on large (linear) scales have been investigated extensively. In this paper, we initiate a systematic study of the effects of LiMRs on smaller, nonlinear scales using cosmological N -body simulations; focusing on quantities relevant for photometric galaxy surveys. For most of our study, we use a particular model of nonthermal LiMRs but the methods developed easily generalize to a large class of models of LiMRs -we explicitly demonstrate this by considering the Dodelson-Widrow form of the velocity distribution. We find that, in general, the effects of LiMR on small scales are distinct from those of a ΛCDM universe, even when the value of σ 8 is matched between the models. We show that weak lensing measurements around massive clusters, between ∼ 0.1h −1 Mpc and ∼ 10h −1 Mpc, should have sufficient signal-to-noise in future surveys to distinguish between ΛCDM and LiMR models that are tuned to fit both CMB data and large (linear) scale structure data at late times. Furthermore, we find that different LiMR cosmologies which are indistinguishable by conventional linear probes can be distinguished by these probes if their velocity distributions are sufficiently different. LiMR models can, therefore, be best tested and constrained by jointly analyzing data from CMB and late-time structure formation on both large and small scales.

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Section: Resultsmentioning

confidence: 99%

Section: Discussion and Summarymentioning

confidence: 99%

Section: Discussion and Summarymentioning

confidence: 99%