2022
DOI: 10.3847/1538-4365/ac7b8f
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SDSS-IV MaNGA: pyPipe3D Analysis Release for 10,000 Galaxies

Abstract: We present here the analysis performed using the pyPipe3D pipeline for the final MaNGA data set included in the Sloan Digital Sky Survey data release 17. This data set comprises more than 10,000 individual data cubes, being the integral field spectroscopic (IFS) galaxy survey with the largest number of galaxies. pyPipe3D processes the IFS data cubes to extract spatially resolved spectroscopic properties of both the stellar population and the ionized gas emission lines. A brief summary of the properties of the … Show more

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Cited by 73 publications
(43 citation statements)
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“…This log-normal distribution for the stellar masses of AGN in MaNGA was previously seen in Paper I and Sanchez et al (2022). The AGN fraction peaks around log(M/M e ) = 10.5-11.0 because of the selection biases imposed by the BPT+WHAN selection criteria (Section 4).…”
Section: Control Samplesupporting
confidence: 72%
“…This log-normal distribution for the stellar masses of AGN in MaNGA was previously seen in Paper I and Sanchez et al (2022). The AGN fraction peaks around log(M/M e ) = 10.5-11.0 because of the selection biases imposed by the BPT+WHAN selection criteria (Section 4).…”
Section: Control Samplesupporting
confidence: 72%
“…Additionally, our reconstructed SFHs are robust to multiple episodes of star formation/quenching, which played an important role in our results. The stellar masses and SFRs derived from our reconstructed SFHs are consistent with the publicly released PIPE3D stellar masses and SFRs (Sánchez et al 2016b(Sánchez et al , 2022.…”
Section: Star Formation History Reconstructionsupporting
confidence: 84%
“…In particular, the star formation rate in each galaxy is estimated with the dust-corrected Hα luminosity using the relationship proposed by Robert C. Kennicutt (1998). This measurement should be treated as an upper limit since the PIPE3D uses the integrated Hα flux, which could include contamination of regions where the ionization source is not related to recent star formation events (see Sánchez et al 2022). We note that our classification is biased towards higher star formation rates and lower stellar masses.…”
Section: Hosts Of Emission-line Galaxiesmentioning
confidence: 99%