Embedded newform data - 270.2.r.a.83.6

Formats: - HTML - YAML - JSON - 2025-02-14T19:14:28.342568

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 1080, 'analytic_conductor': 2.1559608545745705, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 135, 'char_degree': 12, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 36, 'char_parity': 1, 'char_values': [270, 36, [191, 217], [22, 27]], 'cm_discs': [], 'conrey_index': 23, 'dim': 216, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 1168264659214, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 3, -1, 4, 0], [1, 1, 27, 6, -1, 18, 0], [1, 1, 135, 17, 1, 36, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '270.2.r.a', 'level': 270, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '270.2.r.a', 'prim_orbit_index': 17, 'related_objects': [], 'relative_dim': 18, 'rm_discs': [], 'sato_tate_group': '1.2.3.c36', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '270.2.r', 'trace_display': [0, 0, 0, 0], 'traces': [216, 0, 0, 0, 0, 12, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 24, 0, 36, 0, 12, 0, 0, -72, 0, 0, -12, 0, -108, -12, 0, -36, 0, 0, -72, -48, 0, 0, -60, 0, -48, -12, 0, -48, -192, 0, 0, 0, 0, -12, -36, 0, 0, 0, 36, 0, 84, 0, 24, 0, -72, 36, 0, 0, 0, -48, 0, 0, -36, 0, -240, 24, 0, 0, -24, 0, -60, 0, 0, 72, -252, 0, 0, 0, 0, -48, -96, 0, -60, 0, -72, 0, 0, 0, 48, 0, 36, 0, 48, 0, 0, 0, 0, 84, 120, 0, -48, 0, -36, 72, 204, 0, 0, 36, -72, 120, 120, 0, 324, 144, 0, 0, 0, -72, 144, 120, -108, 0, 276, 0, 300, 240, 0, 120, 168, -72, 324, 0, 0, 144, 288, -36, 0, 120, -72, 0, 288, 0, -84, 48, -36, 132, 0, 0, 0, 96, 0, 0, -228, 36, 72, 36, 0, 0, -240, 0, 72, 0, -144, -48, 120, 0, 0, 12, 0, 96, 24, 0, -12, -192, 0, 0, 0, 0, -336, 0, 0, 0, 72, 36, -108, -36, 0, -24, -372, 0, -12, 0, 0, -396, -120, 0, 0, 24, 72, -12, -84, 0, 0, -96, 0, -240, 0, 0, -168, -96, -216, 0, -36, 0, -168, -144, 0, -36, -144, 0, -360, 0, 0, -72, -84, -216, 0, -12, -36, 0, -360, 0, 96, -132, -72, -36, 0, 0, 216, 12, -108, 0, 288, 0, 348, -240, 0, 0, 360, 0, -48, 0, -72, 120, 396, -72, 0, -168, 0, 36, 168, 0, 36, 120, -108, 0, 0, 0, 264, 60, -108, 0, -216, 0, 360, 0, 0, -336, 72, 0, 24, 0, 108, 0, 120, 0, 0, -204, -108, -120, -60, 0, -576, -48, 0, -48, 0, 108, -336, 0, 0, 0, -420, 0, -180, -24, 0, -24, -168, 72, 0, 0, 0, -120, -312, 0, 0, -216, -144, -252, -84, 0, -36, 12, 180, 24, 0, 0, -144, -360, 0, 0, 0, 0, -480, -36, 0, 0, 0, 0, -120, 0, 0, 12, -456, 0, 0, 0, 108, -264, -204, 0, 180, 144, 252, 36, 0, 0, 552, -96, 360, 0, 516, 72, 0, 240, 0, 168, 420, 288, 84, 0, 360, 288, 336, 0, 0, 456, 288, 144, 132, 0, 468, 72, 0, 360, 0, 72, 576, 288, 468, 0, 468, -216, 564, 168, 0, 360, 408, 72, 396, 0, 0, 0, 468, 288, 0, 204, 360, 504, 408, 0, 228, 48, 360, 108, 0, 216, 0, 108, -216, 0, 156, 144, 384, 336, 0, 108, -732, 0, 264, 0, 108, -168, -72, 0, 0, 120, 0, 24, 24, 0, -96, 0, -216, 0, 0, 0, -660, 48, 0, 0, -60, 216, -360, -96, 0, 48, -768, 0, -456, 0, 0, -288, -552, 0, 0, 0, 144, -144, -696, 0, 0, -360, -216, -120, 0, 0, -744, -48, 180, 0, 60, 0, -420, -408, 0, -36, -60, 0, -576, 0, 0, -72, -96, 72, 0, -96, -72, 0, -492, 0, 288, -48, -252, -528, 0, 0, 216, 36, 0, 0, -216, 0, 168, -72, 0, -360, 120, 0, -300, 0, -468, 132, 312, 144, 0, -228, 0, 84, -60, 0, -324, 96, -108, -72, 0, 108, 72, -60, 36, 0, -312, 0, 0, -144, 0, -36, 192, 0, 216, 0, -540, 0, 84, 0, 0, -552, 144, -24, 168, 0, -612, -24, 0, -48, 0, -216, -420, -360, -36, 0, -780, 0, -660, 12, 0, -552, -456, 36, 0, 0, 0, 36, -816, 0, 0, -84, 144, -576, -24, 0, -708, 120, 252, -36, 0, -144, -504, -204, 0, 0, -168, 0, -756, -12, 0, 0, -660, 0, -168, 0, -36, 168, -492, -36, 0, 288, 0, -192, -24, 0, 432, 360, 72, 468, 0, 0, 684, -144, -180, 0, 612, -216, 0, 48, 0, 504, 1056, -72, 180, 0, -180, 0, 84, 0, 0, 288, -360, 300, 516, 0, 252, 840, 0, 324, 0, -180, 1056, 0, -432, 0, 156, -216, 588, 504, 0, 84, 1032, -180, 936, 0, 0, 624, 972, 0, 0, 552, -648, 360, 828, 0, 312, -144, -252, 504, 0, -108, 0, 528, 0, 0, 204, -504, 732, 312, 0, 360, 480, 0, 660, 0, 0, 72, 276, -108, 0, -36, -216, 264, 444, 0, -168, -696, 72, 0, 0, 0, -528, 120, 108, 0, -360, -72, -144, -264, 0, 60, -480, 0, -180, 0, 108, -432, -228, 0, 0, -48, -720, -48, -384, 0, 0, -144, 0, -600, 0, 0, 36, -60, 504, 0, 180, -108, -36, 0, 0, -24, 144, 0, -396, 0, -108, -240, 192, 180, 0, 48, 144, 0, -192, 0, 240, 24, 468, -336, 0, 108, 576, 36, -216, 0, -168, 0, 432, -684, 0, 0, 420, 0, -324, 0, 684, -48, 288, 0, 0, -588, 0, -12, -372, 0, -540, -24, 432, -504, 0, 0, 660, 24, 540, 0, -72, 0, 468, -264, 0, -552, 480, 0, 336, 0, 648, 0, 288, 0, 0, -240, 324, -288, 180, 0, -396, 240, -108, 12, 0, 216, 96, -324, 288, 0, -552, 0, -348, -72, 0, -240, 156, -360, 0, 0, 0, 288, -912, 0, 0, -444, 0, 0, -180, 0, -552, -72, -576, -48, 0, 36, -216, -720, 0, 0, -264, -36, -516, 192, 0, 0, 432, 216, -96, 0, -144, 24, -252, -144, 0, 120, 0, -300, 12, 0, 744, 408, -828, 288, 0, 0, 168, 96, -36, 0, 756, -36, 0, 660, 0, 240, 768, -576, 564, 0, -360, 540, 240, 0, 0, 720, -288, -96, 324, 0, 684, 336, 0, 684, 0, -108, 660, 480, -144, 0, 624, 0, 444, 240, 0, 720, 432, -108, 360, 0, -108, 96, 900, -252, 0, 60, 72, 720, 312, 0, 900, 108, -216, 240, 0, -216, 0, 228, 0, 0, 432, -36, 228, 576, 0, 144, -228, 0, 468, 0, -468, -576, -192, -72, 0, 372, 0, 72, 48, 0, -72, -288, 36, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [-0.5792279653395692, 0.40557978767263886], [0.3572295090343094, 0.9340166368299369], [0.17101007166283436, -0.4698463103929542], [0.8555978363458124, 0.5176411328713787], [-0.5857355909253943, -0.39612348771977546], [-0.3618341473544837, 0.7759558330783657], [0.09150635094610966, 0.34150635094610965], [-0.7447741557502124, 0.6673166092092705], [-0.7055309746561207, 0.04718096862914551], [1.0222217482600764, -1.2182364409168802], [0.4999341146002181, -0.008116714784689725], [-0.6237275651774848, 0.8907752789583373], [-0.1051275450607537, -0.596207935044094], [-0.1778406350007317, 0.9840593013342929], [-0.1915111107797445, -0.16069690242163484], [0.21582863332544958, -0.8054834252987312], [0.16074389019916976, -0.6885937857428263], [0.7091573753446421, 0.4094322015530376], [0.3895276236953097, -0.3134776393593094], [-0.8540134923517172, -0.060764792119369554], [-0.09800734632840187, 1.1202290945884783], [-0.9764199541884493, 0.45531210221342683], [-0.28628384454474953, 0.2074646002398426], [0.46409531511927127, 0.8857852665766937], [0.0, -0.7689332458560812], [-0.8893401210344908, -0.45724626747340125], [0.3027027017306103, 0.3027027017306103], [-0.02535051043529079, 0.1437698889496937], [-0.296104293326277, -0.6421232338685045], [-1.8519125050376535, -0.6740410282990644], [0.17610400660068967, 0.015407104179054838], [1.503020876663997, 0.5195821137278533], [0.20167381646336915, 0.5540942568283427], [-0.7112511700853678, 0.4766058939336377], [0.1861723649534418, 0.46404725031794175], [1.423762429514042, 0.3814959932020608], [-0.5768212089986483, 0.050465316668699425], [-1.0548128221034332, -0.26436070716301285], [-0.09848509850512284, 0.3395595461365153], [0.4290503492793966, -0.07565315266034833], [0.5193134690331709, -0.31117394399399395], [-0.08902133373998204, -1.0175185007095677], [-0.39757368252577674, -0.6886178178869041], [-0.9826576818011348, 0.1854289092812112], [0.38090435764102637, -0.6597457002586442], [0.7711518764415835, 0.3595940255853076], [0.08168016027038054, -0.2362802391614774], [0.17160410498994502, 0.20450980862568097], [-0.628073585441889, -0.32484391832104575], [0.829435276638175, -0.08615491432450154], [0.3118637825887424, 0.44538763947916865], [1.2557032811068183, -1.2557032811068183], [0.700580512877623, -0.09584855229019706], [1.5052200074583653, -0.5131764391909985], [-0.298103967522047, -0.05256377253037685], [-0.12908454688201906, 0.8086260510461758], [-0.043626436454182634, -0.09355719489316514], [1.0932294132160127, -0.9173283974217105], [0.4319440922037467, 0.25184181783469], [0.22165110482119554, -0.08067440454713312], [1.3460569294200464, -0.3606748672044182], [-0.2483234938084761, -0.8193697867891142], [-0.10825317547305482, 0.0625], [-0.9947618797689098, 0.4392783579055109], [-1.0813237276172263, 0.30863839746351024], [-0.3222787189764874, -0.22566198843190513], [-0.34154454540741086, -0.2391520653286776], [-0.774075099263396, -0.7493415630136547], [0.21867485082880242, -0.564532560757167], [0.5358156528915978, -0.30935331143297906], [-0.29604442540846054, -0.1932813963747532], [-0.4251871120843215, 0.11392854331511519], [-0.9794100790951946, 0.3564761159309578], [-0.6615496340762922, 0.7499013812852486], [0.31364326283367383, -0.2631779461649744], [0.5754229377091865, 1.2339984721372912], [0.718196444241224, -0.2746856458973258], [-0.7430225331808926, -0.13101491987414202], [-0.08067316540087614, -0.23662595036090797], [0.10937708614688356, -0.9940003284838578], [-0.2178345712485866, 0.2178345712485866], [-0.20976152352640995, -0.29957050171543154], [-0.17459502190717524, 0.39086369695234513], [0.6016138644754822, -0.5774480976373412], [0.46424858348479286, 0.5532699172247749], [-0.14333941855077448, 0.02768104834472374], [0.509575263568132, 0.23761884780817177], [0.11209980383872065, -0.19416255576716882], [0.4939765920003265, -0.5059517037778833], [-0.46551634194224684, -0.8062979559975783], [0.046949064963450055, 0.5366302680979742], [-0.03199226061181456, -1.9705044352668286], [-0.5925168009042878, 0.10447669852249174], [0.3948145673276139, 0.7173983329365756], [0.04851905618832989, 0.1699879442389774], [1.1642861748776934, -0.10186184140175963], [-0.18234294133661935, -0.048858643876662736], [0.051625071417917584, 1.5894565676968997], [0.49554791239843116, -0.06657526956428178], [0.16491220945634832, 0.45309257167368805], [-0.44548941580930707, 0.3863055191152934], [0.09243831032187716, 0.008087304228655659], [-0.3612804485039581, -0.13149532947778428], [-0.699237740434896, -0.4940627363317211], [-0.21805058645458417, 1.2366263267168627], [-0.8449531135175126, -0.8449531135175126], [-0.3669215895440695, 0.33965945758428895], [0.0, 0.237645485854538], [-0.6637315310628341, 0.907732955758379], [0.15228634914211148, 1.466099422409654], [0.19398895826959142, -0.09045853683862093], [-0.043918458761153814, 0.5019902806966553], [-0.2531930026426203, -0.5207329053842752], [-1.0711110725683217, -0.11587108172845727], [0.06321455926238982, 0.03649694280684432], [-0.12989296794872277, -1.0796501702139492], [-0.2611791920141028, 0.974734014476419], [0.5469253927944949, 0.45892489537534975], [-0.35233604867210844, 0.029313969470640414], [-0.2655145456950098, -1.5058078158441648], [-0.09566661059400586, 0.13662607923160353], [0.22393074883747816, 0.37371462568289787], [-0.6333913803995765, 0.7548464531094011], [-0.061439941397259445, 0.9981107822286569], [0.47615573621600105, 0.37388690456960566], [-0.2514294150601594, -0.9383473515218385], [0.03735452984126498, -0.08010704775697357], [0.9185781605994772, -0.44663504118773895], [0.3980314764874083, -0.6578976214488257], [-0.08602042882793533, 0.23633918581655577], [0.5011554469102505, -0.6173350388408353], [-0.5742986592931687, 0.4021282504208066], [0.27819678801899117, 0.0], [-0.5242280074364924, -0.8515779448877037], [0.2948273959866408, 0.0], [-0.6436964264262621, 0.45072109010232053], [0.7522837367877234, 0.12009037448684681], 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-0.08347544569893822, -0.1573641244969884, -0.4213954311556889, -0.18786436920268418, -0.18926094632604865, -0.3047967086857125, -0.03036184599148486, -0.18665656925039095, -0.0765722680961476, 0.1333687131347299, -0.14488847883359085, -0.02381123593406658, -0.4423379285015357, -0.3709389793107217, 0.014149700482744238, 0.06922932288249269, -0.4830129731157405, -0.1544024563355582, -0.24906601938074935, -0.4347961242282498, 0.028066683126467623], 'char_orbit_index': 18, 'conrey_index': 83, 'dual_conrey_index': 257, 'dual_embedding_index': 6, 'dual_embedding_m': 186, 'embedding_index': 6, 'embedding_m': 60, 'hecke_orbit': 1, 'hecke_orbit_code': 1168264659214, 'label': '270.2.r.a.83.6', 'level': 270, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 1080, 'analytic_conductor': 2.1559608545745705, 'char_conductor': 135, 'char_degree': 12, 'char_is_real': False, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 36, 'char_parity': 1, 'char_values': [270, 36, [191, 217], [22, 27]], 'conrey_index': 23, 'cusp_dim': 600, 'dim': 216, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 1168264659214, 'hecke_orbit_dims': [216], 'label': '270.2.r', 'level': 270, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 696, 'mf_new_dim': 216, 'num_forms': 1, 'prim_orbit_index': 17, 'relative_dim': 18, 'sturm_bound': 108, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [216, 0, 0, 0, 0, 12, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 24, 0, 36, 0, 12, 0, 0, -72, 0, 0, -12, 0, -108, -12, 0, -36, 0, 0, -72, -48, 0, 0, -60, 0, -48, -12, 0, -48, -192, 0, 0, 0, 0, -12, -36, 0, 0, 0, 36, 0, 84, 0, 24, 0, -72, 36, 0, 0, 0, -48, 0, 0, -36, 0, -240, 24, 0, 0, -24, 0, -60, 0, 0, 72, -252, 0, 0, 0, 0, -48, -96, 0, -60, 0, -72, 0, 0, 0, 48, 0, 36, 0, 48, 0, 0, 0, 0, 84, 120, 0, -48, 0, -36, 72, 204, 0, 0, 36, -72, 120, 120, 0, 324, 144, 0, 0, 0, -72, 144, 120, -108, 0, 276, 0, 300, 240, 0, 120, 168, -72, 324, 0, 0, 144, 288, -36, 0, 120, -72, 0, 288, 0, -84, 48, -36, 132, 0, 0, 0, 96, 0, 0, -228, 36, 72, 36, 0, 0, -240, 0, 72, 0, -144, -48, 120, 0, 0, 12, 0, 96, 24, 0, -12, -192, 0, 0, 0, 0, -336, 0, 0, 0, 72, 36, -108, -36, 0, -24, -372, 0, -12, 0, 0, -396, -120, 0, 0, 24, 72, -12, -84, 0, 0, -96, 0, -240, 0, 0, -168, -96, -216, 0, -36, 0, -168, -144, 0, -36, -144, 0, -360, 0, 0, -72, -84, -216, 0, -12, -36, 0, -360, 0, 96, -132, -72, -36, 0, 0, 216, 12, -108, 0, 288, 0, 348, -240, 0, 0, 360, 0, -48, 0, -72, 120, 396, -72, 0, -168, 0, 36, 168, 0, 36, 120, -108, 0, 0, 0, 264, 60, -108, 0, -216, 0, 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312, 0, 900, 108, -216, 240, 0, -216, 0, 228, 0, 0, 432, -36, 228, 576, 0, 144, -228, 0, 468, 0, -468, -576, -192, -72, 0, 372, 0, 72, 48, 0, -72, -288, 36, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 14401523
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 83, 'source_dim': 216, 'source_embedding_index': 6, 'source_hecke_orbit_code': 1168264659214, 'source_is_minimal': True, 'source_label': '270.2.r.a.83.6', 'source_level': 270, 'target_conrey_index': 83, 'target_dim': 216, 'target_embedding_index': 6, 'target_hecke_orbit_code': 1168264659214, 'target_is_minimal': True, 'target_label': '270.2.r.a.83.6', 'target_level': 270, 'twist_class_label': '270.2.r.a.83.6', 'twist_class_level': 270, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 14401524
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 83, 'source_dim': 216, 'source_embedding_index': 6, 'source_hecke_orbit_code': 1168264659214, 'source_is_minimal': True, 'source_label': '270.2.r.a.83.6', 'source_level': 270, 'target_conrey_index': 413, 'target_dim': 216, 'target_embedding_index': 11, 'target_hecke_orbit_code': 1236984136490, 'target_is_minimal': False, 'target_label': '810.2.s.a.413.11', 'target_level': 810, 'twist_class_label': '270.2.r.a.83.6', 'twist_class_level': 270, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 14401525
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 83, 'source_dim': 216, 'source_embedding_index': 6, 'source_hecke_orbit_code': 1168264659214, 'source_is_minimal': True, 'source_label': '270.2.r.a.83.6', 'source_level': 270, 'target_conrey_index': 137, 'target_dim': 216, 'target_embedding_index': 9, 'target_hecke_orbit_code': 1168264659214, 'target_is_minimal': True, 'target_label': '270.2.r.a.137.9', 'target_level': 270, 'twist_class_label': '270.2.r.a.83.6', 'twist_class_level': 270, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 14401526
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 83, 'source_dim': 216, 'source_embedding_index': 6, 'source_hecke_orbit_code': 1168264659214, 'source_is_minimal': True, 'source_label': '270.2.r.a.83.6', 'source_level': 270, 'target_conrey_index': 737, 'target_dim': 216, 'target_embedding_index': 13, 'target_hecke_orbit_code': 1236984136490, 'target_is_minimal': False, 'target_label': '810.2.s.a.737.13', 'target_level': 810, 'twist_class_label': '270.2.r.a.83.6', 'twist_class_level': 270, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 14401527
    {'conductor': 27, 'degree': 6, 'order': 9, 'parity': 1, 'source_conrey_index': 83, 'source_dim': 216, 'source_embedding_index': 6, 'source_hecke_orbit_code': 1168264659214, 'source_is_minimal': True, 'source_label': '270.2.r.a.83.6', 'source_level': 270, 'target_conrey_index': 233, 'target_dim': 216, 'target_embedding_index': 13, 'target_hecke_orbit_code': 1236984136490, 'target_is_minimal': False, 'target_label': '810.2.s.a.233.13', 'target_level': 810, 'twist_class_label': '270.2.r.a.83.6', 'twist_class_level': 270, 'twisting_char_label': '27.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 14401528
    {'conductor': 27, 'degree': 6, 'order': 18, 'parity': -1, 'source_conrey_index': 83, 'source_dim': 216, 'source_embedding_index': 6, 'source_hecke_orbit_code': 1168264659214, 'source_is_minimal': True, 'source_label': '270.2.r.a.83.6', 'source_level': 270, 'target_conrey_index': 203, 'target_dim': 216, 'target_embedding_index': 9, 'target_hecke_orbit_code': 1168264659214, 'target_is_minimal': True, 'target_label': '270.2.r.a.203.9', 'target_level': 270, 'twist_class_label': '270.2.r.a.83.6', 'twist_class_level': 270, 'twisting_char_label': '27.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 14401529
    {'conductor': 135, 'degree': 12, 'order': 36, 'parity': -1, 'source_conrey_index': 83, 'source_dim': 216, 'source_embedding_index': 6, 'source_hecke_orbit_code': 1168264659214, 'source_is_minimal': True, 'source_label': '270.2.r.a.83.6', 'source_level': 270, 'target_conrey_index': 557, 'target_dim': 216, 'target_embedding_index': 11, 'target_hecke_orbit_code': 1236984136490, 'target_is_minimal': False, 'target_label': '810.2.s.a.557.11', 'target_level': 810, 'twist_class_label': '270.2.r.a.83.6', 'twist_class_level': 270, 'twisting_char_label': '135.67', 'twisting_conrey_index': 67, 'weight': 2}
  • id: 14401530
    {'conductor': 135, 'degree': 12, 'order': 36, 'parity': 1, 'source_conrey_index': 83, 'source_dim': 216, 'source_embedding_index': 6, 'source_hecke_orbit_code': 1168264659214, 'source_is_minimal': True, 'source_label': '270.2.r.a.83.6', 'source_level': 270, 'target_conrey_index': 257, 'target_dim': 216, 'target_embedding_index': 6, 'target_hecke_orbit_code': 1168264659214, 'target_is_minimal': True, 'target_label': '270.2.r.a.257.6', 'target_level': 270, 'twist_class_label': '270.2.r.a.83.6', 'twist_class_level': 270, 'twisting_char_label': '135.122', 'twisting_conrey_index': 122, 'weight': 2}
• hecke_orbit_code 1168264659214 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 18, 'hecke_orbit': 1, 'label': '270.2.r.a', 'level': 270, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 12370392
    {'hecke_orbit_code': 1168264659214, 'n': 1, 'trace_an': 216}
  • id: 12370393
    {'hecke_orbit_code': 1168264659214, 'n': 2, 'trace_an': 0}
  • id: 12370394
    {'hecke_orbit_code': 1168264659214, 'n': 3, 'trace_an': 0}
  • id: 12370395
    {'hecke_orbit_code': 1168264659214, 'n': 4, 'trace_an': 0}
  • id: 12370396
    {'hecke_orbit_code': 1168264659214, 'n': 5, 'trace_an': 0}
  • id: 12370397
    {'hecke_orbit_code': 1168264659214, 'n': 6, 'trace_an': 12}
  • id: 12370398
    {'hecke_orbit_code': 1168264659214, 'n': 7, 'trace_an': 0}
  • id: 12370399
    {'hecke_orbit_code': 1168264659214, 'n': 8, 'trace_an': 0}
  • id: 12370400
    {'hecke_orbit_code': 1168264659214, 'n': 9, 'trace_an': 0}
  • id: 12370401
    {'hecke_orbit_code': 1168264659214, 'n': 10, 'trace_an': 0}
  • id: 12370402
    {'hecke_orbit_code': 1168264659214, 'n': 11, 'trace_an': 24}
  • id: 12370403
    {'hecke_orbit_code': 1168264659214, 'n': 12, 'trace_an': 0}
  • id: 12370404
    {'hecke_orbit_code': 1168264659214, 'n': 13, 'trace_an': 0}
  • id: 12370405
    {'hecke_orbit_code': 1168264659214, 'n': 14, 'trace_an': 0}
  • id: 12370406
    {'hecke_orbit_code': 1168264659214, 'n': 15, 'trace_an': 0}
  • id: 12370407
    {'hecke_orbit_code': 1168264659214, 'n': 16, 'trace_an': 0}
  • id: 12370408
    {'hecke_orbit_code': 1168264659214, 'n': 17, 'trace_an': 0}
  • id: 12370409
    {'hecke_orbit_code': 1168264659214, 'n': 18, 'trace_an': 0}
  • id: 12370410
    {'hecke_orbit_code': 1168264659214, 'n': 19, 'trace_an': 0}
  • id: 12370411
    {'hecke_orbit_code': 1168264659214, 'n': 20, 'trace_an': -24}
  • id: 12370412
    {'hecke_orbit_code': 1168264659214, 'n': 21, 'trace_an': 0}
  • id: 12370413
    {'hecke_orbit_code': 1168264659214, 'n': 22, 'trace_an': 0}
  • id: 12370414
    {'hecke_orbit_code': 1168264659214, 'n': 23, 'trace_an': 24}
  • id: 12370415
    {'hecke_orbit_code': 1168264659214, 'n': 24, 'trace_an': 0}
  • id: 12370416
    {'hecke_orbit_code': 1168264659214, 'n': 25, 'trace_an': 36}
  • id: 12370417
    {'hecke_orbit_code': 1168264659214, 'n': 26, 'trace_an': 0}
  • id: 12370418
    {'hecke_orbit_code': 1168264659214, 'n': 27, 'trace_an': 12}
  • id: 12370419
    {'hecke_orbit_code': 1168264659214, 'n': 28, 'trace_an': 0}
  • id: 12370420
    {'hecke_orbit_code': 1168264659214, 'n': 29, 'trace_an': 0}
  • id: 12370421
    {'hecke_orbit_code': 1168264659214, 'n': 30, 'trace_an': -72}
  • id: 12370422
    {'hecke_orbit_code': 1168264659214, 'n': 31, 'trace_an': 0}
  • id: 12370423
    {'hecke_orbit_code': 1168264659214, 'n': 32, 'trace_an': 0}
  • id: 12370424
    {'hecke_orbit_code': 1168264659214, 'n': 33, 'trace_an': -12}
  • id: 12370425
    {'hecke_orbit_code': 1168264659214, 'n': 34, 'trace_an': 0}
  • id: 12370426
    {'hecke_orbit_code': 1168264659214, 'n': 35, 'trace_an': -108}
  • id: 12370427
    {'hecke_orbit_code': 1168264659214, 'n': 36, 'trace_an': -12}
  • id: 12370428
    {'hecke_orbit_code': 1168264659214, 'n': 37, 'trace_an': 0}
  • id: 12370429
    {'hecke_orbit_code': 1168264659214, 'n': 38, 'trace_an': -36}
  • id: 12370430
    {'hecke_orbit_code': 1168264659214, 'n': 39, 'trace_an': 0}
  • id: 12370431
    {'hecke_orbit_code': 1168264659214, 'n': 40, 'trace_an': 0}
  • id: 12370432
    {'hecke_orbit_code': 1168264659214, 'n': 41, 'trace_an': -72}
  • id: 12370433
    {'hecke_orbit_code': 1168264659214, 'n': 42, 'trace_an': -48}
  • id: 12370434
    {'hecke_orbit_code': 1168264659214, 'n': 43, 'trace_an': 0}
  • id: 12370435
    {'hecke_orbit_code': 1168264659214, 'n': 44, 'trace_an': 0}
  • id: 12370436
    {'hecke_orbit_code': 1168264659214, 'n': 45, 'trace_an': -60}
  • id: 12370437
    {'hecke_orbit_code': 1168264659214, 'n': 46, 'trace_an': 0}
  • id: 12370438
    {'hecke_orbit_code': 1168264659214, 'n': 47, 'trace_an': -48}
  • id: 12370439
    {'hecke_orbit_code': 1168264659214, 'n': 48, 'trace_an': -12}
  • id: 12370440
    {'hecke_orbit_code': 1168264659214, 'n': 49, 'trace_an': 0}
  • id: 12370441
    {'hecke_orbit_code': 1168264659214, 'n': 50, 'trace_an': -48}
  • id: 12370442
    {'hecke_orbit_code': 1168264659214, 'n': 51, 'trace_an': -192}
  • id: 12370443
    {'hecke_orbit_code': 1168264659214, 'n': 52, 'trace_an': 0}
  • id: 12370444
    {'hecke_orbit_code': 1168264659214, 'n': 53, 'trace_an': 0}
  • id: 12370445
    {'hecke_orbit_code': 1168264659214, 'n': 54, 'trace_an': 0}
  • id: 12370446
    {'hecke_orbit_code': 1168264659214, 'n': 55, 'trace_an': 0}
  • id: 12370447
    {'hecke_orbit_code': 1168264659214, 'n': 56, 'trace_an': -12}
  • id: 12370448
    {'hecke_orbit_code': 1168264659214, 'n': 57, 'trace_an': -36}
  • id: 12370449
    {'hecke_orbit_code': 1168264659214, 'n': 58, 'trace_an': 0}
  • id: 12370450
    {'hecke_orbit_code': 1168264659214, 'n': 59, 'trace_an': 0}
  • id: 12370451
    {'hecke_orbit_code': 1168264659214, 'n': 60, 'trace_an': 0}
  • id: 12370452
    {'hecke_orbit_code': 1168264659214, 'n': 61, 'trace_an': 36}
  • id: 12370453
    {'hecke_orbit_code': 1168264659214, 'n': 62, 'trace_an': 0}
  • id: 12370454
    {'hecke_orbit_code': 1168264659214, 'n': 63, 'trace_an': 84}
  • id: 12370455
    {'hecke_orbit_code': 1168264659214, 'n': 64, 'trace_an': 0}
  • id: 12370456
    {'hecke_orbit_code': 1168264659214, 'n': 65, 'trace_an': 24}
  • id: 12370457
    {'hecke_orbit_code': 1168264659214, 'n': 66, 'trace_an': 0}
  • id: 12370458
    {'hecke_orbit_code': 1168264659214, 'n': 67, 'trace_an': -72}
  • id: 12370459
    {'hecke_orbit_code': 1168264659214, 'n': 68, 'trace_an': 36}
  • id: 12370460
    {'hecke_orbit_code': 1168264659214, 'n': 69, 'trace_an': 0}
  • id: 12370461
    {'hecke_orbit_code': 1168264659214, 'n': 70, 'trace_an': 0}
  • id: 12370462
    {'hecke_orbit_code': 1168264659214, 'n': 71, 'trace_an': 0}
  • id: 12370463
    {'hecke_orbit_code': 1168264659214, 'n': 72, 'trace_an': -48}
  • id: 12370464
    {'hecke_orbit_code': 1168264659214, 'n': 73, 'trace_an': 0}
  • id: 12370465
    {'hecke_orbit_code': 1168264659214, 'n': 74, 'trace_an': 0}
  • id: 12370466
    {'hecke_orbit_code': 1168264659214, 'n': 75, 'trace_an': -36}
  • id: 12370467
    {'hecke_orbit_code': 1168264659214, 'n': 76, 'trace_an': 0}
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