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190 results on '"Feindt, U"'

152. Strong Dependence of Type Ia Supernova Standardization on the Local Specific Star Formation Rate

Author

Rigault, M., Brinnel, V., Aldering, G., Antilogus, P., Aragon, C., Bailey, S., Baltay, C., Barbary, K., Bongard, S., Boone, K., Buton, C., Childress, M., Chotard, N., Copin, Y., Dixon, S., Fagrelius, P., Feindt, U., Fouchez, D., Gangler, E., Hayden, B., Hillebrandt, W., Howell, D. A., Kim, A., Kowalski, Marek, Kuesters, D., Leget, P. -F., Lombardo, S., Lin, Q., Nordin, J., Pain, R., Pecontal, E., Pereira, R., Perlmutter, S., Rabinowitz, D., Runge, K., Rubin, D., Saunders, C., Smadja, G., Sofiatti, C., Suzuki, N., Taubenberger, S., Tao, C., and Thomas, R. C.

Subjects
13. Climate action
Abstract

As part of an on-going effort to identify, understand and correct for astrophysics biases in the standardization of Type Ia supernovae (SN Ia) for cosmology, we have statistically classified a large sample of nearby SNe Ia into those located in predominantly younger or older environments. This classification is based on the specific star formation rate measured within a projected distance of 1 kpc from each SN location, (LsSFR). This is an important refinement compared to using the local star formation rate directly (Rigault et al. 2013; 2015), as it provides a normalization for relativenumbers of available SN progenitors and is more robust against extinction by dust. We find that the SNe Ia in predominantly younger environments are $∆_Y$=0.163±0.029 mag (5.7σ) fainter than those in predominantly older environments after conventional light-curve standardization. Thisis the strongest standardized SN Ia brightness systematic connected to host-galaxy environment measured to date. The well-established step in standardized brightnesses between SNe Ia in hosts with lower or higher total stellar masses is smaller, at $∆_M$=0.119±0.032 mag (4.5σ), for the same set of SNe Ia. When fit simultaneously, the environment age offset remains very significant, with $∆_Y$=0.129±0.032 mag (4.0σ), while the global stellar mass step is reduced to $∆_M$=0.064±0.029 mag (2.2σ). Thus, approximately 70% of the variance from the stellar mass step is due to an underlying dependence on environment-based progenitor age. Also, we verify that using the local star formation rate alone is not aspowerful as LsSFR at sorting SNe Ia into brighter and fainter subsets. Standardization using only the SNe Ia in younger environments reduces thetotal dispersion from 0.142±0.008 mag to 0.120±0.010 mag. We show that as environment ages evolve with redshift, a strong bias, especially onmeasurement of the derivative of the dark energy equation of state, can develop. Fortunately, data to measure and correct for this effect using our local specific star formation rate indicator is likely to be available for many next-generation SN Ia cosmology experiments.

153. La Silla-QUEST Detections and Nearby Supernova Factory II Spectroscopic Confirmations of Two Type II Supernovae and Two CV candidates

Author

Pecontal, Buton, C., Feindt, U., Kerschhaggl, M., Kowalski, M., Benitez, S., Hillebrandt, W., Kromer, M., Sasdelli, M., Sternberg, A., Taubenberger, S., Baugh, D., Chen, J., Chotard, N., Wu, C., Tao, C., Fouchez, D., Tilquin, A., Hadjiyska, E., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Effron, A., Cellier-Holzem, F., Canto, A., Antilogus, P., Bongard, S., Pain, R., Copin, Y., Gangler, E., Pereira, R., Rigault, M., Aldering, G. Smadja G., Birchall, D., Childress, M., Fakhouri, H., Kim, A., Nordin, J., Peter Nugent, Perlmutter, S., Runge, K., Saunders, C., Suzuki, N., and Thomas, R. C.

154. CSP spectroscopic classification of LSQ14jp

Author

Taddia, F., Stritzinger, M., Morrell, N., Hsiao, E. Y., Hadjiyska, E., Walker, E. S., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Feindt, U., and Peter Nugent

155. The Extinction Properties of and Distance to the Highly Reddened Type IA Supernova 2012cu

Author

Huang, X., Raha, Z., Aldering, G., Antilogus, P., Bailey, S., Baltay, C., Barbary, K., Baugh, D., Boone, K., Bongard, S., Buton, C., Chen, J., Chotard, N., Copin, Y., Fagrelius, P., Fakhouri, H. K., Feindt, U., Fouchez, D., Gangler, E., Hayden, B., Hillebrandt, W., Kim, A. G., Kowalski, Marek, Leget, P.-F., Lombardo, S., Nordin, J., Pain, R., Pecontal, E., Pereira, R., Perlmutter, S., Rabinowitz, D., Rigault, M., Rubin, D., Runge, K., Saunders, C., Smadja, G., Sofiatti, C., Stocker, A., Suzuki, N., Taubenberger, S., Tao, C., and Thomas, R. C.

Subjects
13. Climate action
Abstract

The astrophysical journal 836(2), 157 (2017). doi:10.3847/1538-4357/836/2/157, Correcting Type Ia Supernova brightnesses for extinction by dust has proven to be a vexing problem. Here we study the dust foreground to the highly reddened SN 2012cu, which is projected onto a dust lane in the galaxy NGC 4772. The analysis is based on multi-epoch, spectrophotometric observations spanning from 3300–9200 Å, obtained by the Nearby Supernova Factory. Phase-matched comparison of the spectroscopically twinned SN 2012cu and SN 2011fe across 10 epochs results in the best-fit color excess of ($E(B-V)$, RMS) = (1.00, 0.03) and total-to-selective extinction ratio of (R$_V$ , RMS) = (2.95, 0.08) toward SN 2012cu within its host galaxy. We further identify several diffuse interstellar bands and compare the 5780 Å band with the dust-to-band ratio for the Milky Way (MW). Overall, we find the foreground dust-extinction properties for SN 2012cu to be consistent with those of the MW. Furthermore, we find no evidence for significant time variation in any of these extinction tracers. We also compare the dust extinction curve models of Cardelli et al., O'Donnell, and Fitzpatrick, and find the predictions of Fitzpatrick fit SN 2012cu the best. Finally, the distance to NGC4772, the host of SN 2012cu, at a redshift of $z$ = 0.0035, often assigned to the Virgo Southern Extension, is determined to be 16.6 ± 1.1 Mpc. We compare this result with distance measurements in the literature., Published by IOP Publ., Chicago, Ill. [u.a.]

157. Nearby Supernova Factory II classification of Five Supernovae

Author

Benitez, S., Hillebrandt, W., Kromer, M., Sasdelli, M., Sternberg, A., Taubenberger, S., Baugh, D., Chen, J., Chotard, N., Wu, C., Tao, C., Fouchez, D., Tilquin, A., Hadjiyska, E., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Walker, E., Effron, A., Cellier-Holzem, F., Canto, A., Antilogus, P., Bongard, S., Pain, R., Yannick Copin, Gangler, E., Pereira, R., Rigault, M., Smadja, G., Aldering, G., Birchall, D., Fakhouri, H., Kim, A., Nordin, J., Nugent, P., Perlmutter, S., Runge, K., Saunders, C., Suzuki, N., Pecontal, R. C. Thomas E., Feindt, U., and Kowalski, M.

158. Nearby Supernova Factory II classification of LSQ14cnl and LSQ14cnm

Author

Feindt, U., Kowalski, M., Lombardo, S., Rigault, M., Benitez, S., Hillebrandt, W., Klauser, M., Sasdelli, M., Sternberg, A., Taubenberger, S., Baugh, D., Chen, J., Tao, C., Fouchez, D., Gangler, E., Leget, P., Baltay, C., Citrenbaum, C., Ellman, N., Hadjiyska, E., Rabinowitz, D., Rostami, S., Walker, E., Cellier-Holzem, F., Antilogus, P., Bongard, S., Fleury, M., Pain, R., Copin, Y., Chotard, N., Pereira, R., Smadja, G., Aldering, G., Boone, K., Birchall, D., Fagrelius, P., Fakhouri, H., Hayden, B., Kim, A., Nordin, J., Peter Nugent, Perlmutter, S., Rubin, D., Runge, K., Saunders, C., Sofiatti, C., Suzuki, N., Thomas, R. C., and Pecontal, E.

159. PESSTO spectroscopic classification of La Silla-Quest Transients

Author

Valenti, S., Pastorello, A., Benitez-Herrera, S., Taubenberger, S., Smartt, S. J., Sullivan, M., Benetti, S., Enrico Cappellaro, Greggio, L., Hachinger, S., Turatto, M., Zampieri, L., Baltay, C., Ellman, N., Hadjiyska, E., Mckinnon, R., Rabinowitz, D., Nugent, P., Mazzali, P. A., Maguire, K., Pan, Yen-Chen, Hook, I., Fraser, M., Inserra, C., Magill, L., Maund, J., Mccrum, M., Kotak, R., Smith, K. W., Young, D. R., Chen, T. -W, Wright, D., Scalzo, R., Schmidt, B. P., Sim, S. A., Yuan, F., Stanishev, V., Patat, N., Botticella, M. T., Dall Ora, M., Limongi, M., Pumo, M. L., Dennefeld, M., Blagorodnova, N., Elias-Rosa, N., Walton, N. A., Cellier-Holzem, F., Bongard, S., Regnault, N., Pain, R., Le Guillou, L., Hillebrandt, W., Kromer, M., Sternberg, A., Bufano, F., Pignata, G., Anderson, J. P., Hamuy, M., Clocchiatti, A., Eldridge, J. J., Feindt, U., Kowalski, M., Kankare, E., Mattila, S., Walker, E. S., Amanullah, R., Fransson, C., Goobar, A., Sollerman, J., Ergon, M., Gal-Yam, A., and Yaron, O.

160. Nearby Supernova Factory II Spectroscopic Classification of LSQ13avx (SNIa)

Author

Hadjiyska, E., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Walker, E., Effron, A., Cellier-Holzem, F., Canto, A., Antilogus, P., Bongard, S., Fleury, M., Pain, R., Copin, Y., Chotard, N., Gangler, E., Pereira, R., Rigault, M., Smadja, G., Aldering, G., Birchall, D., Fakhouri, H., Kim, A., Nordin, J., Peter Nugent, Perlmutter, S., Rubin, D., Runge, K., Saunders, C., Sofiatti, C., Suzuki, N., Thomas, R. C., Pecontal, E., Feindt, U., Greskovic, P., Kowalski, M., Lombardo, S., Benitez, S., Hillebrandt, W., Kromer, M., Sasdelli, M., Sternberg, A., Taubenberger, S., Baugh, D., Chen, J., Wu, C., Tao, C., Fouchez, D., and Tilquin, A.

161. PESSTO spectroscopic classification of optical transients

Author

Bersier, D., Dennefeld, M., Lyman, J., Maund, J. R., Pastorello, A., Annalisa De Cia, Benetti, S., Inserra, C., Smartt, S., Smith, K., Young, D., Sullivan, M., Taubenberger, S., Valenti, S., Fraser, M., Yaron, O., Gal-Yam, A., Manulis, Ilan, Scalzo, R., Yuan, F., Childress, M., Tucker, B., Schmidt, B., Knapic, C., Smareglia, R., Molinaro, M., Baltay, C., Ellman, N., Hadjiyska, E., Mckinnon, R., Rabinowitz, D., Walker, E. S., Feindt, U., Kowalski, M., Nugent, P., and Wyrzykowski, L.

162. LIGO/VIRGO G184098 : classifications of transients from the LSQ observations

Author

Takats, K., Agliozzo, C., Alessandro Razza, Olivares, F., Pessa, I., Campbell, H., Elias-Rosa, N., Cappellaro, E., Inserra, C., Maguire, K., Smartt, S. J., Smith, K. W., Sullivan, M., Valenti, S., Yaron, O., Young, D., Manulis, I., Baltay, C., Ellman, N., Hadjiyska, E., Mckinnon, R., Rabinowitz, D., Rostami, S., Feindt, U., Kowalski, M., and Nugent, P.

163. La Silla-QUEST Detections and Nearby Supernova Factory II Spectroscopic Confirmations: Type Ic Supernova (LSQ11jw) and Type Ia Supernova (LSQ11pn)

Author

Hadjiyska, E., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Antilogus, P., Bongard, S., Canto, A., Cellier-Holzem, F., Guy, J., Pain, R., Copin, Y., Gangler, E., Pereira, R., Rigault, M., Smadja, G., Aldering, G., Birchall, D., Childress, M., Fakhouri, H., Nordin, J., Peter Nugent, Perlmutter, S., Runge, K., Saunders, C., Suzuki, N., Thomas, R. C., Pecontal, E., Buton, C., Feindt, U., Kerschhaggl, M., Kowalski, M., Paech, K., Benitez, S., Fink, M., Hillebrandt, W., Kromer, M., Taubenberger, S., Tao, C., Baugh, D., Chen, J., Chotard, N., Wu, C., Fouchez, D., and Tilquin, A.

164. La Silla-QUEST Detections and Nearby Supernova Factory II Spectroscopic Confirmations of Four Type Ia Supernovae

Author

Hadjiyska, E., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Cellier-Holzem, F., Canto, A., Antilogus, P., Bongard, S., Pain, R., Copin, Y., Gangler, E., Pereira, R., Rigault, M., Smadja, G., Aldering, G., Birchall, D., Childress, M., Fakhouri, H., Kim, A., Nordin, J., Peter Nugent, Perlmutter, S., Runge, K., Saunders, C., Suzuki, N., Thomas, R. C., Pecontal, E., Buton, C., Feindt, U., Kerschhaggl, M., Kowalski, M., Benitez, S., Hillebrandt, W., Kromer, M., Sasdelli, M., Sternberg, A., Taubenberger, S., Tao, C., Baugh, D., Chen, J., Chotard, N., Wu, C., Fouchez, D., and Tilquin, A.

165. Spectroscopic Classification of LSQ12fmx and LSQ12fnt by the Nearby Supernova Factory II

Author

Benitez, S., Hillebrandt, W., Kromer, M., Sasdelli, M., Sternberg, A., Taubenberger, S., Baugh, D., Chen, J., Chotard, N., Wu, C., Tao, C., Fouchez, D., Tilquin, A., Hadjiyska, E., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Cellier-Holzem, A. Effron F., Canto, A., Antilogus, P., Bongard, S., Pain, R., Yannick Copin, Gangler, E., Pereira, R., Rigault, M., Smadja, G., Aldering, G., Birchall, D., Childress, M., Fakhouri, H., Kim, A., Nordin, J., Nugent, P., Perlmutter, S., Runge, K., Saunders, C., Suzuki, N., Thomas, R. C., Pecontal, E., Buton, C., Feindt, U., Kerschhaggl, M., and Kowalski, M.

166. PESSTO spectroscopic classification of optical transients

Author

Walton, N., Blagorodnova, N., Campbell, Heather, Fraser, M., Cia, A., Elias-Rosa, Nancy, Benetti, S., Pastorello, A., Kotak, R., Inserra, C., Smartt, S., Smith, K., Wright, D., Young, D., Sullivan, M., Taubenberger, S., Valenti, S., Yaron, O., Gal-Yam, A., Cristina Knapic, Smareglia, R., Molinaro, M., Manulis, Ilan, Wyrzykowski, L., Baltay, C., Ellman, N., Hadjiyska, E., Mckinnon, R., Rabinowitz, D., Walker, E. S., Feindt, U., Kowalski, M., Nugent, P., Burgett, W., Chambers, K., Huber, M., Kudritzki, R. P., Magnier, E., Morgan, J., Stubbs, C., Sweeney, W., Tonry, J., Waters, C., Draper, P., Metcalfe, N., and Rest, A.

167. Nearby Supernova Factory II Spectroscopic Classification of LSQ13aze, LSQ13bbv and LSQ13bbz

Author

Yannick Copin, Chotard, N., Gangler, E., Pereira, R., Rigault, M., Smadja, G., Aldering, G., Birchall, D., Fakhouri, H., Kim, A., Nordin, J., Nugent, P., Perlmutter, S., Rubin, D., Runge, K., Saunders, C., Sofiatti, C., Suzuki, N., Thomas, R. C., Pecontal, E., Feindt, U., Greskovic, P., Kowalski, M., Lombardo, S., Benitez, S., Hillebrandt, W., Kromer, M., Sasdelli, M., Sternberg, A., Taubenberger, S., Baugh, D., Chen, J., Wu, C., Tao, C., Fouchez, D., Tilquin, A., Hadjiyska, E., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Walker, E., Effron, A., Cellier-Holzem, F., Canto, A., Antilogus, P., Bongard, S., Fleury, M., and Pain, R.

168. CSP spectroscopic classification of LSQ14akx

Author

Taddia, F., Stritzinger, M., Morrell, N., Hsiao, E. Y., Hadjiyska, E., Walker, E. S., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Feindt, U., and Peter Nugent

170. PESSTO spectroscopic classification of optical transients

Author

Cartier, R., Frohmaier, C., Prajs, S., Galbany, Lluis, Annalisa De Cia, Inserra, C., Maguire, K., Smartt, S. J., Smith, K. W., Sullivan, M., Valenti, S., Yaron, O., Young, D., Wyrzykowski, L., Manulis, Ilan, Baltay, C., Ellman, N., Hadjiyska, E., Mckinnon, R., Rabinowitz, D., Rostami, S., Feindt, U., Kowalski, M., and Nugent, P.

171. Spectroscopic classification of two Type Ia SNe by the Nearby Supernova Factory II

Author

Buton, C., Feindt, U., Kerschhaggl, M., Kowalski, M., Benitez, S., Hillebrandt, W., Kromer, M., Sasdelli, M., Sternberg, A., Taubenberger, S., Baugh, D., Chen, J., Chotard, N., Tao, C. Wu C., Fouchez, D., Tilquin, A., Hadjiyska, E., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Cellier-Holzem, A. Effron F., Canto, A., Antilogus, P., Bongard, S., Pain, R., Yannick Copin, Gangler, E., Pereira, R., Rigault, M., Smadja, G., Aldering, G., Birchall, D., Childress, M., Fakhouri, H., Kim, A., Nordin, J., Nugent, P., Perlmutter, S., Runge, K., Saunders, C., Suzuki, N., Thomas, R. C., and Pecontal, E.

172. CSP spectroscopic classification of LSQ14auy

Author

Taddia, F., Stritzinger, M., Morrell, N., Hsiao, E. Y., Hadjiyska, E., Walker, E. S., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Feindt, U., and Peter Nugent

174. Nearby Supernova Factory II Spectroscopic Classification of LSQ13ayd (SNIa)

Author

Cellier-Holzem, F., Canto, A., Antilogus, P., Bongard, S., Fleury, M., Pain, R., Copin, Y., Chotard, N., Gangler, E., Pereira, R., Rigault, M., Smadja, G., Aldering, G., Birchall, D., Fakhouri, H., Kim, A., Nordin, J., Peter Nugent, Perlmutter, S., Rubin, D., Runge, K., Saunders, C., Sofiatti, C., Suzuki, N., Thomas, R. C., Pecontal, E., Feindt, U., Greskovic, P., Kowalski, M., Lombardo, S., Benitez, S., Hillebrandt, W., Kromer, M., Sasdelli, M., Sternberg, A., Taubenberger, S., Baugh, D., Chen, J., Wu, C., Tao, C., Fouchez, D., Tilquin, A., Hadjiyska, E., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Walker, E., and Effron, A.

175. Spectroscopic classification of two LSQ SNe by the Nearby Supernova Factory II

Author

Hadjiyska, E., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Cellier-Holzem, A. Effron F., Canto, A., Antilogus, P., Bongard, S., Pain, R., Copin, Y., Gangler, E., Pereira, R., Rigault, M., Smadja, G., Aldering, G., Birchall, D., Childress, M., Fakhouri, H., Kim, A., Nordin, J., Peter Nugent, Perlmutter, S., Runge, K., Saunders, C., Suzuki, N., Thomas, R. C., Pecontal, E., Buton, C., Feindt, U., Kerschhaggl, M., Kowalski, M., Benitez, S., Hillebrandt, W., Kromer, M., Sasdelli, M., Sternberg, A., Taubenberger, S., Baugh, D., Chen, J., Chotard, N., Tao, C. Wu C., Fouchez, D., and Tilquin, A.

176. Correction to ATEL 4673: Spectroscopic classification of Two LSQ supernovae by the Nearby Supernova Factory II

Author

Aldering, G., Birchall, D., Childress, M., Fakhouri, H., Kim, A., Nordin, J., Nugent, P., Perlmutter, S., Runge, K., Saunders, C., Suzuki, N., Thomas, R. C., Pecontal, E., Buton, C., Feindt, U., Kerschhaggl, M., Kowalski, M., Benitez, S., Hillebrandt, W., Kromer, M., Sasdelli, M., Sternberg, A., Taubenberger, S., Baugh, D., Chen, J., Chotard, N., Wu, C., Tao, C., Fouchez, D., Tilquin, A., Hadjiyska, E., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Walker, E., Effron, A., Cellier-Holzem, F., Canto, A., Antilogus, P., Bongard, S., Pain, R., Yannick Copin, Gangler, E., Pereira, R., Rigault, M., and Smadja, G.

177. Nearby Supernova Factory II Spectroscopic Confirmations of Three Supernovae

Author

Pecontal, E., Buton, C., Feindt, U., Kerschhaggl, M., Kowalski, M., Benitez, S., Hillebrandt, W., Kromer, M., Sasdelli, M., Sternberg, A., Taubenberger, S., Baugh, D., Chen, J., Chotard, N., Wu, C., Tao, C., Fouchez, D., Tilquin, A., Hadjiyska, E., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Effron, A., Cellier-Holzem, F., Canto, A., Antilogus, P., Bongard, S., Pain, R., Copin, Y., Gangler, E., Pereira, R., Rigault, M., Aldering, G. Smadja G., Birchall, D., Childress, M., Fakhouri, H., Kim, A., Nordin, J., Peter Nugent, Perlmutter, S., Runge, K., Saunders, C., Suzuki, N., and Thomas, R. C.

178. PESSTO spectroscopic classification of optical transients

Author

Dennefeld, M., Bersier, D., Lyman, J., Maund, J. R., Smartt, S. J., Smith, K., Benetti, S., Pastorello, A., Valenti, S., Taubenberger, S., Young, D., Inserra, C., Sullivan, M., Fraser, M., Gal-Yam, A., Yaron, O., Manulis, I., Scalzo, R., Yuan, F., Childress, M., Tucker, B., Schmidt, B., Knapic, C., Smareglia, R., Molinaro, M., Baltay, C., Ellman, N., Hadjiyska, E., Mckinnon, R., Rabinowitz, D., Walker, E. S., Feindt, U., Kowalski, M., Peter Nugent, and Wyrzykowski, L.

179. Nearby Supernova Factory II classification of the SN Ia LSQ12hxx

Author

Hadjiyska, E., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Walker, E., Effron, A., Cellier-Holzem, F., Canto, A., Antilogus, P., Bongard, S., Pain, R., Yannick Copin, Gangler, E., Pereira, R., Rigault, M., Smadja, G., Aldering, G., Birchall, D., Fakhouri, H., Kim, A., Nordin, J., Nugent, P., Perlmutter, S., Runge, K., Saunders, C., Suzuki, N., Thomas, R. C., Pecontal, E., Feindt, U., Kowalski, M., Benitez, S., Hillebrandt, W., Kromer, M., Sasdelli, M., Sternberg, A., Taubenberger, S., Baugh, D., Chen, J., Chotard, N., Wu, C., Tao, C., Fouchez, D., and Tilquin, A.

180. Erratum to ATel #4965 - Spectroscopic classification of PSN J08461506+4134400

Author

Pecontal, E., Feindt, U., Kowalski, M., Benitez, S., Hillebrandt, W., Kromer, M., Sasdelli, M., Sternberg, A., Taubenberger, S., Baugh, D., Chen, J., Chotard, N., Wu, C., Tao, C., Fouchez, D., Tilquin, A., Hadjiyska, E., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Walker, E., Effron, A., Cellier-Holzem, F., Canto, A., Antilogus, P., Bongard, S., Pain, R., Yannick Copin, Gangler, E., Pereira, R., Rigault, M., Smadja, G., Aldering, G., Birchall, D., Fakhouri, H., Kim, A., Nordin, J., Nugent, P., Perlmutter, S., Runge, K., Saunders, C., Suzuki, N., and Thomas, R. C.

181. Spectroscopic classification of Two LSQ supernovae by the Nearby Supernova Factory II

Author

Aldering, G., Birchall, D., Childress, M., Fakhouri, H., Kim, A., Nordin, J., Peter Nugent, Perlmutter, S., Runge, K., Saunders, C., Suzuki, N., Thomas, R. C., Pecontal, E., Buton, C., Feindt, U., Kerschhaggl, M., Kowalski, M., Benitez, S., Hillebrandt, W., Kromer, M., Sasdelli, M., Sternberg, A., Taubenberger, S., Baugh, D., Chen, J., Chotard, N., Wu, C., Tao, C., Fouchez, D., Tilquin, A., Hadjiyska, E., Rabinowitz, D., Baltay, C., Ellman, N., Mckinnon, R., Walker, E., Effron, A., Cellier-Holzem, F., Canto, A., Antilogus, P., Bongard, S., Pain, R., Copin, Y., Gangler, E., Pereira, R., Rigault, M., and Smadja, G.

182. VizieR Online Data Catalog: PESSTO catalog (Smartt+, 2015)

Author

Smartt, S. J., Valenti, S., Fraser, M., Inserra, C., Young, D. R., Sullivan, M., Pastorello, A., Benetti, S., Gal-Yam, A., Knapic, C., Molinaro, M., Smareglia, R., Smith, K. W., Taubenberger, S., Yaron, O., Anderson, J. P., Ashall, C., Balland, C., Baltay, C., Barbarino, C., Bauer, F. E., Baumont, S., Bersier, D., Blagorodnova, N., Bongard, S., Botticella, M. T., Bufano, F., Bulla, M., Cappellaro, E., Campbell, H., Cellier-Holzem, F., Chen, T. -W, Childress, M. J., Clocchiatti, A., Contreras, C., Dall Ora, M., Danziger, J., Jaeger, T., Cia, A., Della Valle, M., Dennefeld, M., Elias-Rosa, N., Elman, N., Feindt, U., Fleury, M., Gall, E., Gonzalez-Gaitan, S., Lluís Galbany, Morales Garoffolo, A., Greggio, L., Guillou, L. L., Hachinger, S., Hadjiyska, E., Hage, P. E., Hillebrandt, W., Hodgkin, S., Hsiao, E. Y., James, P. A., Jerkstrand, A., Kangas, T., Kankare, E., Kotak, R., Kromer, M., Kuncarayakti, H., Leloudas, G., Lundqvist, P., Lyman, J. D., Hook, I. M., Maguire, K., Manulis, I., Margheim, S. J., Mattila, S., Maund, J. R., Mazzali, P. A., Mccrum, M., Mckinnon, R., Moreno-Raya, M. E., Nicholl, M., Nugent, P., Pain, R., Pignata, G., Phillips, M. M., Polshaw, J., Pumo, M. L., Rabinowitz, D., Reilly, E., Romero-Canizales, C., Scalzo, R., Schmidt, B., Schulze, S., Sim, S., Sollerman, J., Taddia, F., Tartaglia, L., Terreran, G., Tomasella, L., Turatto, M., Walker, E., Walton, N. A., Wyrzykowski, L., Yuan, F., and Zampieri, L.

183. Mass dependence of 3He optical potentials and volume integrals in the range from light to medium weight nuclei: Selection of a “physical” potential family

Author

Trost, H.-J., primary, Schwarz, A., additional, Feindt, U., additional, Heimlich, F.H., additional, Heinzel, S., additional, Hintze, J., additional, Körber, F., additional, Lekebusch, R., additional, Lezoch, P., additional, Möck, G., additional, Paul, W., additional, Roick, E., additional, Wolfe, M., additional, Worzeck, J., additional, and Strohbusch, U., additional

Published
1980
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184. TYPE Ia SUPERNOVA DISTANCE MODULUS BIAS AND DISPERSION FROM K-CORRECTION ERRORS: A DIRECT MEASUREMENT USING LIGHT CURVE FITS TO OBSERVED SPECTRAL TIME SERIES.

Author

Saunders, C., Aldering, G., Antilogus, P., Aragon, C., Bailey, S., Baltay, C., Bongard, S., Buton, C., Canto, A., Cellier-Holzem, F., Childress, M., Chotard, N., Copin, Y., Fakhouri, H. K., Feindt, U., Gangler, E., Guy, J., Kerschhaggl, M., Kim, A. G., and Kowalski, M.

Subjects
MEASUREMENT errors, MICROWAVE reflectometry, TYPE I supernovae, SPECTRAL energy distribution, REFLECTOMETRY
Abstract

We estimate systematic errors due to K-corrections in standard photometric analyses of high-redshift Type Ia supernovae. Errors due to K-correction occur when the spectral template model underlying the light curve fitter poorly represents the actual supernova spectral energy distribution, meaning that the distance modulus cannot be recovered accurately. In order to quantify this effect, synthetic photometry is performed on artificially redshifted spectrophotometric data from 119 low-redshift supernovae from the Nearby Supernova Factory, and the resulting light curves are fit with a conventional light curve fitter. We measure the variation in the standardized magnitude that would be fit for a given supernova if located at a range of redshifts and observed with various filter sets corresponding to current and future supernova surveys. We find significant variation in the measurements of the same supernovae placed at different redshifts regardless of filters used, which causes dispersion greater than ∼0.05 mag for measurements of photometry using the Sloan-like filters and a bias that corresponds to a 0.03 shift in w when applied to an outside data set. To test the result of a shift in supernova population or environment at higher redshifts, we repeat our calculations with the addition of a reweighting of the supernovae as a function of redshift and find that this strongly affects the results and would have repercussions for cosmology. We discuss possible methods to reduce the contribution of the K-correction bias and uncertainty. [ABSTRACT FROM AUTHOR]

Published
2015
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185. Strong dependence of Type Ia supernova standardization on the local specific star formation rate.

Author

Rigault, M., Brinnel, V., Aldering, G., Antilogus, P., Aragon, C., Bailey, S., Baltay, C., Barbary, K., Bongard, S., Boone, K., Buton, C., Childress, M., Chotard, N., Copin, Y., Dixon, S., Fagrelius, P., Feindt, U., Fouchez, D., Gangler, E., and Hayden, B.

Subjects
*TYPE I supernovae, *STELLAR mass, *DARK energy, *PHYSICAL cosmology, *STANDARDIZATION
Abstract

As part of an on-going effort to identify, understand and correct for astrophysics biases in the standardization of Type Ia supernovae (SN Ia) for cosmology, we have statistically classified a large sample of nearby SNe Ia into those that are located in predominantly younger or older environments. This classification is based on the specific star formation rate measured within a projected distance of 1 kpc from each SN location (LsSFR). This is an important refinement compared to using the local star formation rate directly, as it provides a normalization for relative numbers of available SN progenitors and is more robust against extinction by dust. We find that the SNe Ia in predominantly younger environments are ΔY = 0.163 ± 0.029 mag (5.7σ) fainter than those in predominantly older environments after conventional light-curve standardization. This is the strongest standardized SN Ia brightness systematic connected to the host-galaxy environment measured to date. The well-established step in standardized brightnesses between SNe Ia in hosts with lower or higher total stellar masses is smaller, at ΔM = 0.119 ± 0.032 mag (4.5σ), for the same set of SNe Ia. When fit simultaneously, the environment-age offset remains very significant, with ΔY = 0.129 ± 0.032 mag (4.0σ), while the global stellar mass step is reduced to ΔM = 0.064  ±  0.029 mag (2.2σ). Thus, approximately 70% of the variance from the stellar mass step is due to an underlying dependence on environment-based progenitor age. Also, we verify that using the local star formation rate alone is not as powerful as LsSFR at sorting SNe Ia into brighter and fainter subsets. Standardization that only uses the SNe Ia in younger environments reduces the total dispersion from 0.142  ±  0.008 mag to 0.120  ±  0.010 mag. We show that as environment-ages evolve with redshift, a strong bias, especially on the measurement of the derivative of the dark energy equation of state, can develop. Fortunately, data that measure and correct for this effect using our local specific star formation rate indicator, are likely to be available for many next-generation SN Ia cosmology experiments. [ABSTRACT FROM AUTHOR]

Published
2020
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186. SUGAR: An improved empirical model of Type Ia supernovae based on spectral features.

Author

Léget, P.-F., Gangler, E., Mondon, F., Aldering, G., Antilogus, P., Aragon, C., Bailey, S., Baltay, C., Barbary, K., Bongard, S., Boone, K., Buton, C., Chotard, N., Copin, Y., Dixon, S., Fagrelius, P., Feindt, U., Fouchez, D., Hayden, B., and Hillebrandt, W.

Subjects
*TYPE I supernovae, *LARGE Synoptic Survey Telescope, *SPECTRAL energy distribution, *SUGAR, *GAUSSIAN processes
Abstract

Context. Type Ia supernovae (SNe Ia) are widely used to measure the expansion of the Universe. Improving distance measurements of SNe Ia is one technique to better constrain the acceleration of expansion and determine its physical nature. Aims. This document develops a new SNe Ia spectral energy distribution (SED) model, called the SUpernova Generator And Reconstructor (SUGAR), which improves the spectral description of SNe Ia, and consequently could improve the distance measurements. Methods. This model was constructed from SNe Ia spectral properties and spectrophotometric data from the Nearby Supernova Factory collaboration. In a first step, a principal component analysis-like method was used on spectral features measured at maximum light, which allowed us to extract the intrinsic properties of SNe Ia. Next, the intrinsic properties were used to extract the average extinction curve. Third, an interpolation using Gaussian processes facilitated using data taken at different epochs during the lifetime of an SN Ia and then projecting the data on a fixed time grid. Finally, the three steps were combined to build the SED model as a function of time and wavelength. This is the SUGAR model. Results. The main advancement in SUGAR is the addition of two additional parameters to characterize SNe Ia variability. The first is tied to the properties of SNe Ia ejecta velocity and the second correlates with their calcium lines. The addition of these parameters, as well as the high quality of the Nearby Supernova Factory data, makes SUGAR an accurate and efficient model for describing the spectra of normal SNe Ia as they brighten and fade. Conclusions. The performance of this model makes it an excellent SED model for experiments like the Zwicky Transient Facility, the Large Synoptic Survey Telescope, or the Wide Field Infrared Survey Telescope. [ABSTRACT FROM AUTHOR]

Published
2020
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187. Transient processing and analysis using AMPEL: alert management, photometry, and evaluation of light curves.

Author

Nordin, J., Brinnel, V., van Santen, J., Bulla, M., Feindt, U., Franckowiak, A., Fremling, C., Gal-Yam, A., Giomi, M., Kowalski, M., Mahabal, A., Miranda, N., Rauch, L., Reusch, S., Rigault, M., Schulze, S., Sollerman, J., Stein, R., Yaron, O., and van Velzen, S.

Subjects
*LIGHT curves, *TRANSIENT analysis, *TYPE I supernovae, *PHOTOMETRY, *ASTRONOMY
Abstract

Context. Both multi-messenger astronomy and new high-throughput wide-field surveys require flexible tools for the selection and analysis of astrophysical transients. Aims. Here we introduce the alert management, photometry, and evaluation of light curves (AMPEL) system, an analysis framework designed for high-throughput surveys and suited for streamed data. AMPEL combines the functionality of an alert broker with a generic framework capable of hosting user-contributed code; it encourages provenance and keeps track of the varying information states that a transient displays. The latter concept includes information gathered over time and data policies such as access or calibration levels. Methods. We describe a novel ongoing real-time multi-messenger analysis using AMPEL to combine IceCube neutrino data with the alert streams of the Zwicky Transient Facility (ZTF). We also reprocess the first four months of ZTF public alerts, and compare the yields of more than 200 different transient selection functions to quantify efficiencies for selecting Type Ia supernovae that were reported to the Transient Name Server (TNS). Results. We highlight three channels suitable for (1) the collection of a complete sample of extragalactic transients, (2) immediate follow-up of nearby transients, and (3) follow-up campaigns targeting young, extragalactic transients. We confirm ZTF completeness in that all TNS supernovae positioned on active CCD regions were detected. Conclusions.AMPEL can assist in filtering transients in real time, running alert reaction simulations, the reprocessing of full datasets as well as in the final scientific analysis of transient data. This is made possible by a novel way of capturing transient information through sequences of evolving states, and interfaces that allow new code to be natively applied to a full stream of alerts. This text also introduces a method by which users can design their own channels for inclusion in the AMPEL live instance that parses the ZTF stream and the real-time submission of high-quality extragalactic supernova candidates to the TNS. [ABSTRACT FROM AUTHOR]

Published
2019
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188. Illuminating gravitational waves: A concordant picture of photons from a neutron star merger.

Author

Kasliwal, M. M., Nakar, E., Singer, L. P., Kaplan, D. L., Cook, D. O., Van Sistine, A., Lau, R. M., Fremling, C., Gottlieb, O., Jencson, J. E., Adams, S. M., Feindt, U., Hotokezaka, K., Ghosh, S., Perley, D. A., Yu, P. -C., Piran, T., Allison, J. R., Anupama, G. C., and Balasubramanian, A.

Subjects
*GRAVITATIONAL fields, *NEUTRON stars, *GRAVITATIONAL waves, *SPECTRUM analysis, *ELECTROMAGNETIC waves, *GAMMA ray spectrometry
Abstract

Merging neutron stars offer an excellent laboratory for simultaneously studying strongfield gravity and matter in extreme environments. We establish the physical association of an electromagnetic counterpart (EM170817) with gravitational waves (GW170817) detected from merging neutron stars. By synthesizing a panchromatic data set, we demonstrate that merging neutron stars are a long-sought production site forging heavy elements by r-process nucleosynthesis. The weak gamma rays seen in EM170817 are dissimilar to classical short gamma-ray bursts with ultrarelativistic jets. Instead, we suggest that breakout of a wide-angle, mildly relativistic cocoon engulfing the jet explains the lowluminosity gamma rays, the high-luminosity ultraviolet-optical-infrared, and the delayed radio and x-ray emission. We posit that all neutron star mergers may lead to a wide-angle cocoon breakout, sometimes accompanied by a successful jet and sometimes by a choked jet. [ABSTRACT FROM AUTHOR]

Published
2017
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189. The rising light curves of Type Ia supernovae.

Author

Firth, R. E., Sullivan, M., Gal-Yam, A., Howell, D. A., Maguire, K., Nugent, P., Piro, A. L., Baltay, C., Feindt, U., Hadjiyksta, E., McKinnon, R., Ofek, E., Rabinowitz, D., and Walker, E. S.

Subjects
*LIGHT curves, *TYPE I supernovae, *LUMINOSITY, *FIREBALL model (Nuclear physics)
Abstract

We present an analysis of the early, rising light curves of 18 Type Ia supernovae (SNe Ia) discovered by the Palomar Transient Factory and the La Silla-QUEST variability survey. We fit these early data flux using a simple power law (f(t) = α × tn) to determine the time of first light (t0), and hence the rise time (trise) from first light to peak luminosity, and the exponent of the power-law rise (n). We find a mean uncorrected rise time of 18.98 ± 0.54 d, with individual supernova (SN) rise times ranging from 15.98 to 24.7 d. The exponent n shows significant departures from the simple 'fireball model' of n = 2 (or f(t) ∝ t²) usually assumed in the literature. With a mean value of n = 2.44 ± 0.13, our data also show significant diversity from event to event. This deviation has implications for the distribution of 56Ni throughout the SN ejecta, with a higher index suggesting a lesser degree of 56Ni mixing. The range of n found also confirms that the 56Ni distribution is not standard throughout the population of SNe Ia, in agreement with earlier work measuring such abundances through spectral modelling. We also show that the duration of the very early light curve, before the luminosity has reached half of its maximal value, does not correlate with the light-curve shape or stretch used to standardize SNe Ia in cosmological applications. This has implications for the cosmological fitting of SN Ia light curves. [ABSTRACT FROM AUTHOR]

Published
2015
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190. Evidence of environmental dependencies of Type Ia supernovae from the Nearby Supernova Factory indicated by local Hα.

Author

Rigault, M., Copin, Y., Aldering, G., Antilogus, P., Aragon, C., Bailey, S., Baltay, C., Bongard, S., Buton, C., Canto, A., Cellier-Holzem, F., Childress, M., Chotard, N., Fakhouri, H. K., Feindt, U., Fleury, M., Gangler, E., Greskovic, P., Guy, J., and Kim, A. G.

Subjects
*SUPERNOVAE spectra, *GALACTIC X-ray sources, *STAR formation, *GALACTIC redshift, *GRAVITATIONAL redshift
Abstract

Context. Use of Type Ia supernovae (SNe Ia) as distance indicators has proven to be a powerful technique for measuring the darkenergy equation of state. However, recent studies have highlighted potential biases correlated with the global properties of their host galaxies, large enough to induce systematic errors into such cosmological measurements if not properly treated. Aims. We study the host galaxy regions in close proximity to SNe Ia in order to analyze relations between the properties of SN Ia events and environments where their progenitors most likely formed. In this paper we focus on local H± emission as an indicator of young progenitor environments. Methods. The Nearby Supernova Factory has obtained flux-calibrated spectral timeseries for SNe Ia using integral field spectroscopy. These observations enabled the simultaneous measurement of the SN and its immediate vicinity. For 89 SNe Ia we measured or set limits on H± emission, used as a tracer of ongoing star formation, within a 1 kpc radius around each SN. This constitutes the first direct study of the local environment for a large sample of SNe Ia with accurate luminosity, color, and stretch measurements. Results. Our local star formation measurements provide several critical new insights. We find that SNe Ia with local H± emission are redder by 0:036 ± 0:017 mag, and that the previously noted correlation between stretch and host mass is driven entirely by the SNe Ia coming from locally passive environments, in particular at the low-stretch end. There is no such trend for SNe Ia in locally star-forming environments. Our most important finding is that the mean standardized brightness for SNe Ia with local H± emission is 0:094 ± 0:031 mag fainter on average than for those without. This o±set arises from a bimodal structure in the Hubble residuals, with one mode being shared by SNe Ia in all environments and the other one exclusive to SNe Ia in locally passive environments. This structure also explains the previously known host-mass bias. We combine the star formation dependence of this bimodality with the cosmic star formation rate to predict changes with redshift in the mean SN Ia brightness and the host-mass bias. The strong change predicted is confirmed using high-redshift SNe Ia from the literature. Conclusions. The environmental dependences in SN Ia Hubble residuals and color found here point to remaining systematic errors in the standardization of SNe Ia. In particular, the observed brightness o±set associated with local H± emission is predicted to cause a significant bias in current measurements of the dark energy equation of state. Recognition of these e±ects o±ers new opportunities to improve SNe Ia as cosmological probes. For instance, we note that the SNe Ia associated with local H± emission are more homogeneous, resulting in a brightness dispersion of only 0:105 ± 0:012 mag. [ABSTRACT FROM AUTHOR]

Published
2013
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