Embedded newform data - 315.10.b.b.251.43

Formats: - HTML - YAML - JSON - 2025-01-15T01:03:39.126169

• 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': 31500, 'analytic_conductor': 162.23628839162004, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 21, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [315, 2, [281, 127, 136], [1, 2, 1]], 'cm_discs': [], 'conrey_index': 251, 'dim': 48, 'has_non_self_twist': 1, 'hecke_orbit': 2, 'hecke_orbit_code': 4503668514619707, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 21, 3, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '315.10.b.b', 'level': 315, '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': [3, 5, 7], 'level_radical': 105, 'minimal_twist': '315.10.b.a', 'prim_orbit_index': 3, 'related_objects': [], 'relative_dim': 48, 'rm_discs': [], 'sato_tate_group': '9.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '315.10.b', 'trace_display': [0, 0, 30000, 1824], 'traces': [48, 0, 0, -12288, 30000, 0, 1824, 0, 0, 0, 0, 0, 0, -442908, 0, 3258948, 0, 0, 0, -7680000, 0, -2860668, 0, 0, 18750000, 5432976, 0, -3685092, 0, 0, 0, 0, 0, 0, 1140000, 0, 7750344, -17423136, 0, 0, 70626600, 0, 16073832, 0, 0, -15083820, 33200856, 0, -39367500, 0, 0, 0, 0, 0, 0, 318486852, 0, 293819940, -342990864, 0, 0, -896801400, 0, -1639789824, 0, 0, -980229936, 438669576, 0, -276817500, 0, 0, 0, 0, 0, 0, 900236484, 0, 325977144, 2036842500, 0, 0, -1415370096, 0, 0, 0, 0, 3319557300, 1132967016, 0, -1162515060, 0, 0, 0, 0, 0, 0, 2546372484, 0, -4800000000, 2093326200, 0, 0, -7210049400, 0, 2520593676, 0, 0, -728536416, -1787917500, 0, 8628168696, 0, 0, 0, 0, 0, 0, 3739230000, 0, -6398699592, 13606608600, 0, 0, 11718750000, 0, 3872334120, 0, 0, 3395610000, -9294792696, 0, -8329487832, 0, 0, 0, 0, 0, 0, -2303182500, 0, -19626485292, 33219172728, 0, 0, 1891139544, 0, -16244110848, 0, 0, -28696879968, 1157553000, 0, 33839076816, 0, 0, 0, 0, 0, 0, -26417768400, 0, -29215005312, -10421638848, 0, 0, -31829992992, 0, 10172118072, 0, 0, 38789596464, 13794851016, 0, 712500000, 0, 0, 0, 0, 0, 0, 67930514676, 0, -69664772052, 4843965000, 0, 0, 139473773136, 0, -10889460000, 0, 0, 90033176784, -87893703504, 0, 129198424164, 0, 0, 0, 0, 0, 0, -126723213000, 0, 44141625000, -123812515800, 0, 0, 52089370992, 0, -99067238664, 0, 0, 134896055148, 10046145000, 0, 31962728232, 0, 0, 0, 0, 0, 0, -275006783412, 0, -50172762348, -97757007984, 0, 0, -9427387500, 0, -245253339540, 0, 0, 20750535000, 19477670616, 0, 158076788544, 0, 0, 0, 0, 0, 0, -24604687500, 0, 55084421232, 815212956816, 0, 0, 88207885224, 0, -517295309904, 0, 0, 1126236225612, -158214374352, 0, 62904950052, 0, 0, 0, 0, 0, 0, -69770987136, 0, 830688192336, 413469324792, 0, 0, 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4192171881984, -2640272723568, 0, 2889582951996, 0, 0, 0, 0, 0, 0, -4133400737364, 0, -884606310000, 10495621134720, 0, 0, 856880673984, 0, -3807791545152, 0, 0, 1770317854668, 0, 0, 1897786592496, 0, 0, 0, 0, 0, 0, -3173246485200, 0, 1664822125536, 4467487182336, 0, 0, 2074723312500, 0, -4749634727568, 0, 0, 708104385000, -6369906985056, 0, 21879302412, 0, 0, 0, 0, 0, 0, -726571912500, 0, -3184658897712, 5162312051712, 0, 0, 6848962279416, 0, -1879245496776, 0, 0, 5822846834724, -4204463627088, 0, -1465110104136, 0, 0, 0, 0, 0, 0, -15670864745424, 0, 11239598867724, 9255451723632, 0, 0, 7155804997728, 0, -9505885133256, 0, 0, -6161661259152, -17819050111128, 0, 1591482802500, 0, 0, 0, 0, 0, 0, -4171489670520, 0, 6716034912144, -3000000000000, 0, 0, 6777467184600, 0, 1308328875000, 0, 0, 360589717704, -6832147608144, 0, -8239660126056, 0, 0, 0, 0, 0, 0, -5257090919052, 0, -4506280875000, 5408719205400, 0, 0, 104232956976, 0, -979450848396, 0, 0, 612653505936, 1575371047500, 0, 11758526622288, 0, 0, 0, 0, 0, 0, -515572785432, 0, -6440580520320, 18485799426216, 0, 0, -455335260000, 0, 19775905626048, 0, 0, -1117448437500, -20905502716224, 0, -10660069754232, 0, 0, 0, 0, 0, 0, 5392605435000, 0, -21731864560380, 10081088730144, 0, 0, 7565466770280, 0, 6479187488388, 0, 0, -2529346540152, -14529377065680, 0, -16252145529516, 0, 0, 0, 0, 0, 0, 7441188836904, 0, 11620883991096, -4549767012000, 0, 0, -4055423783328, 0, 6864169919760, 0, 0, -9385322606448, -7573751728272, 0, 2337018750000, 0, 0, 0, 0, 0, 0, -13522607430048, 0, 38422454567424, -3999187245000, 0, 0, -9837007524720, 0, 8504130375000, 0, 0, -15054429886536, -2807427257352, 0, -8471766030768, 0, 0, 0, 0, 0, 0, 7036433561916, 0, 7324218750000, 15163590935952, 0, 0, 18258029980488, 0, 16924806591504, 0, 0, -3988282225572, 2420208825000, 0, -22739724911664, 0, 0, 0, 0, 0, 0, 33928815798504, 0, -1595933559720, -20944693686888, 0, 0, 2122256250000, 0, 42932550993600, 0, 0, -5809245435000, 17937912982824, 0, 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-22624326447948, 0, 0, 139370263213944, 58272342176520, 0, 42456571672500, 0, 0, 0, 0, 0, 0, 16546211925804, 0, -72099225700008, -43540482532500, 0, 0, 44619056986752, 0, 3027478125000, 0, 0, -206863587191988, -184796018289720, 0, 20791333677024, 0, 0, 0, 0, 0, 0, 294628508298000, 0, 87171108210000, -213584462367336, 0, 0, -110829143999304, 0, -212979867957432, 0, 0, 270901361569680, -6805912500000, 0, -35457416257680, 0, 0, 0, 0, 0, 0, 217634437084392, 0, -177843017512464, -43496021512584, 0, 0, 56270735490000, 0, -99201063403416, 0, 0, -54933564690000, -91602223144488, 0, 39195185908824, 0, 0, 0, 0, 0, 0, 80749015102500, 0, 167131363959972, -34252112537496, 0, 0, 354465413704584, 0, -172743031091376, 0, 0, 148109980568088, -705536399829816, 0, 212775561676836, 0, 0, 0, 0, 0, 0], 'weight': 10, '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], [0.0, 1.683551944505232], [0.0, 0.0], [-1.8343471498473476, 0.0], [0.4472135954999579, 0.0], [0.0, 0.0], [-0.2898735087267214, 0.9570649658923157], [0.0, -1.4046667665179002], [0.0, 0.0], [0.0, 0.7529073183131304], [0.0, -1.734039354516242], [0.0, 0.0], [0.0, 0.4142874122519603], [-1.6112685843458416, -0.48801710927742614], [0.0, 0.0], [0.5304823163057399, 0.0], [0.9799918907369455, 0.0], [0.0, 0.0], [0.0, 1.5013093663871113], [-0.8203449842783325, 0.0], [0.0, 0.0], [2.9193453271444163, 0.0], [0.0, -1.239797656552951], [0.0, 0.0], [0.2, 0.0], [-0.6974743784808285, 0.0], [0.0, 0.0], [0.5317286445491116, -1.7555893924033181], [0.0, -0.29172873487121204], [0.0, 0.0], [0.0, 0.29228379827929724], [0.0, -0.5115722313757323], [0.0, 0.0], [0.0, 1.6498672532495433], [-0.12963537407786552, 0.4280124645237471], [0.0, 0.0], [1.1469333853100132, 0.0], [-2.527532303084939, 0.0], [0.0, 0.0], [0.0, -0.6281860751337701], [0.8293851309890568, 0.0], [0.0, 0.0], [-0.6930845044167219, 0.0], [0.0, 3.1808301476800027], [0.0, 0.0], [2.0872637554827502, 0.0], [0.6781098433300806, 0.0], [0.0, 0.0], [-0.8319466978769188, -0.554855559485251], [0.0, 0.3367103889010464], [0.0, 0.0], [0.0, -0.7599469338820165], [0.0, 0.613119330099021], [0.0, 0.0], [0.0, -0.7754859744716348], [1.3443573509875235, 0.40717568420236205], [0.0, 0.0], [0.4911404788604803, 0.0], [1.2964336419813194, 0.0], [0.0, 0.0], [0.0, 1.3548618674924306], [-0.4920749569404858, 0.0], [0.0, 0.0], [1.3917407411932343, 0.0], [0.0, 0.1852749632035725], [0.0, 0.0], [-0.2786305774377774, 0.0], [-1.7976453316468293, 0.0], [0.0, 0.0], [-0.7205812169214311, -0.21824788610545362], [0.0, 1.222034734070999], [0.0, 0.0], [0.0, 0.07586527726115444], [0.0, 1.9309219310566412], [0.0, 0.0], [0.0, -2.753922557271325], [1.6595883156860203, 0.5026520719638422], [0.0, 0.0], [1.564074416677706, 0.0], [0.23723890402423592, 0.0], [0.0, 0.0], [0.0, 1.396312950020353], [0.2449195205338079, 0.0], [0.0, 0.0], 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[0.1592448216960833, None, None, None, -0.3330162991289462, 0.03320838452714516, -0.16849912478822918, 0.13513089008802268, -0.3935868145696104, -0.47670184447402764, 0.0233428045216312, -0.15279909913406067, -0.18194456288202931, -0.3063221362101716, -0.1949463742848077, 0.049588949229624264, -0.13775752125106386, 0.11845336630432377, -0.27224507473437654, 0.10461972675669409, 0.006038615679058804, -0.10709033171868976, -0.23046087864879097, -0.3102372565663901, -0.49772157593296856, -0.24609772463655205, 0.11687293144254965, -0.4733741636743715, -0.3492168655213786, 0.08533427748590407, -0.3745405329439631, -0.27067118115834304, -0.4494685963076109, 0.13292609438125716, 0.012510822058395321, -0.2664840953320745, -0.3680674644675136, -0.09366477423080398, -0.2212766006151324, -0.4095912702711382, -0.42328108953475135, -0.49567239722903184, -0.3884065403340044, -0.24427471303836698, 0.07665039560982023, 0.056898547899821635, -0.12175607903736618, 0.09337357563022194, 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• 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': 31500, 'analytic_conductor': 162.23628839162004, 'char_conductor': 21, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [315, 2, [281, 127, 136], [1, 2, 1]], 'conrey_index': 251, 'cusp_dim': 424, 'dim': 96, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_orbit_code': 68887249211, 'hecke_orbit_dims': [48, 48], 'label': '315.10.b', 'level': 315, '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': [3, 5, 7], 'level_radical': 105, 'mf_dim': 440, 'mf_new_dim': 96, 'num_forms': 2, 'prim_orbit_index': 3, 'relative_dim': 96, 'sturm_bound': 480, 'trace_bound': 5, 'trace_display': [0, 0, 0, 3648], 'traces': [96, 0, 0, -24576, 0, 0, 3648, 0, 0, 0, 0, 0, 0, 0, 0, 6517896, 0, 0, 0, 0, 0, -5721336, 0, 0, 37500000, 0, 0, -7370184, 0, 0, 0, 0, 0, 0, 0, 0, 15500688, 0, 0, 0, 0, 0, 32147664, 0, 0, -30167640, 0, 0, -78735000, 0, 0, 0, 0, 0, 0, 0, 0, 587639880, 0, 0, 0, 0, 0, -3279579648, 0, 0, -1960459872, 0, 0, -553635000, 0, 0, 0, 0, 0, 0, 0, 0, 651954288, 0, 0, 0, 0, 0, 0, 0, 0, 6639114600, 0, 0, -2325030120, 0, 0, 0, 0, 0, 0, 0, 0, -9600000000, 0, 0, 0, 0, 0, 5041187352, 0, 0, -1457072832, 0, 0, 17256337392, 0, 0, 0, 0, 0, 0, 0, 0, -12797399184, 0, 0, 0, 0, 0, 7744668240, 0, 0, 6791220000, 0, 0, -16658975664, 0, 0, 0, 0, 0, 0, 0, 0, -39252970584, 0, 0, 0, 0, 0, -32488221696, 0, 0, -57393759936, 0, 0, 67678153632, 0, 0, 0, 0, 0, 0, 0, 0, -58430010624, 0, 0, 0, 0, 0, 20344236144, 0, 0, 77579192928, 0, 0, 1425000000, 0, 0, 0, 0, 0, 0, 0, 0, -139329544104, 0, 0, 0, 0, 0, -21778920000, 0, 0, 180066353568, 0, 0, 258396848328, 0, 0, 0, 0, 0, 0, 0, 0, 88283250000, 0, 0, 0, 0, 0, -198134477328, 0, 0, 269792110296, 0, 0, 63925456464, 0, 0, 0, 0, 0, 0, 0, 0, -100345524696, 0, 0, 0, 0, 0, -490506679080, 0, 0, 41501070000, 0, 0, 316153577088, 0, 0, 0, 0, 0, 0, 0, 0, 110168842464, 0, 0, 0, 0, 0, -1034590619808, 0, 0, 2252472451224, 0, 0, 125809900104, 0, 0, 0, 0, 0, 0, 0, 0, 1661376384672, 0, 0, 0, 0, 0, -2385487251144, 0, 0, 637288750992, 0, 0, 398108565000, 0, 0, 0, 0, 0, 0, 0, 0, 1085188072272, 0, 0, 0, 0, 0, -428738580000, 0, 0, 1497642197544, 0, 0, 111242896032, 0, 0, 0, 0, 0, 0, 0, 0, -1121001750000, 0, 0, 0, 0, 0, -4235749085424, 0, 0, 1951752615120, 0, 0, 3891937124952, 0, 0, 0, 0, 0, 0, 0, 0, -1941341842848, 0, 0, 0, 0, 0, -1861395953664, 0, 0, 548336970000, 0, 0, 3164233949616, 0, 0, 0, 0, 0, 0, 0, 0, -5281698129768, 0, 0, 0, 0, 0, -5151739752360, 0, 0, -1308388239120, 0, 0, 3381980771448, 0, 0, 0, 0, 0, 0, 0, 0, -5959214484144, 0, 0, 0, 0, 0, -4668002819184, 0, 0, 3758457300696, 0, 0, 1125295605000, 0, 0, 0, 0, 0, 0, 0, 0, -3700843025256, 0, 0, 0, 0, 0, 2546053125000, 0, 0, 8384343763968, 0, 0, 5779165903992, 0, 0, 0, 0, 0, 0, 0, 0, -1769212620000, 0, 0, 0, 0, 0, -7615583090304, 0, 0, 3540635709336, 0, 0, 3795573184992, 0, 0, 0, 0, 0, 0, 0, 0, 3329644251072, 0, 0, 0, 0, 0, -9499269455136, 0, 0, 1416208770000, 0, 0, 43758604824, 0, 0, 0, 0, 0, 0, 0, 0, -6369317795424, 0, 0, 0, 0, 0, -3758490993552, 0, 0, 11645693669448, 0, 0, -2930220208272, 0, 0, 0, 0, 0, 0, 0, 0, 22479197735448, 0, 0, 0, 0, 0, -19011770266512, 0, 0, -12323322518304, 0, 0, 3182965605000, 0, 0, 0, 0, 0, 0, 0, 0, 13432069824288, 0, 0, 0, 0, 0, 2616657750000, 0, 0, 721179435408, 0, 0, -16479320252112, 0, 0, 0, 0, 0, 0, 0, 0, -9012561750000, 0, 0, 0, 0, 0, -1958901696792, 0, 0, 1225307011872, 0, 0, 23517053244576, 0, 0, 0, 0, 0, 0, 0, 0, -12881161040640, 0, 0, 0, 0, 0, 39551811252096, 0, 0, -2234896875000, 0, 0, -21320139508464, 0, 0, 0, 0, 0, 0, 0, 0, -43463729120760, 0, 0, 0, 0, 0, 12958374976776, 0, 0, -5058693080304, 0, 0, -32504291059032, 0, 0, 0, 0, 0, 0, 0, 0, 23241767982192, 0, 0, 0, 0, 0, 13728339839520, 0, 0, -18770645212896, 0, 0, 4674037500000, 0, 0, 0, 0, 0, 0, 0, 0, 76844909134848, 0, 0, 0, 0, 0, 17008260750000, 0, 0, -30108859773072, 0, 0, -16943532061536, 0, 0, 0, 0, 0, 0, 0, 0, 14648437500000, 0, 0, 0, 0, 0, 33849613183008, 0, 0, -7976564451144, 0, 0, -45479449823328, 0, 0, 0, 0, 0, 0, 0, 0, -3191867119440, 0, 0, 0, 0, 0, 85865101987200, 0, 0, -11618490870000, 0, 0, -11209710123648, 0, 0, 0, 0, 0, 0, 0, 0, -19285238226384, 0, 0, 0, 0, 0, 76146442083456, 0, 0, -160290071533104, 0, 0, -46925888986800, 0, 0, 0, 0, 0, 0, 0, 0, 20280798041424, 0, 0, 0, 0, 0, 80925251779512, 0, 0, -34500864654432, 0, 0, -2878978125000, 0, 0, 0, 0, 0, 0, 0, 0, -47038963390464, 0, 0, 0, 0, 0, 41523965910000, 0, 0, -20679941263464, 0, 0, -12007136752200, 0, 0, 0, 0, 0, 0, 0, 0, 2363924430000, 0, 0, 0, 0, 0, 65671586926488, 0, 0, -104315008813584, 0, 0, 5648102364888, 0, 0, 0, 0, 0, 0, 0, 0, 46717452395088, 0, 0, 0, 0, 0, -20498331356400, 0, 0, 1446941250000, 0, 0, -80677384342656, 0, 0, 0, 0, 0, 0, 0, 0, 28263140824944, 0, 0, 0, 0, 0, 195124670188344, 0, 0, 95517561253248, 0, 0, -43825386158544, 0, 0, 0, 0, 0, 0, 0, 0, -7591379443776, 0, 0, 0, 0, 0, -24642499635216, 0, 0, -95308849711656, 0, 0, -33022210500000, 0, 0, 0, 0, 0, 0, 0, 0, 96422513464944, 0, 0, 0, 0, 0, -13027048560000, 0, 0, 73993491680304, 0, 0, 40535784876600, 0, 0, 0, 0, 0, 0, 0, 0, -39787491240000, 0, 0, 0, 0, 0, -111823042017696, 0, 0, 4631178467568, 0, 0, 25788029971200, 0, 0, 0, 0, 0, 0, 0, 0, 41883878484936, 0, 0, 0, 0, 0, -60954458259240, 0, 0, 17243563770000, 0, 0, 66872230193376, 0, 0, 0, 0, 0, 0, 0, 0, -46998667660272, 0, 0, 0, 0, 0, 76230315067056, 0, 0, 148740558452280, 0, 0, 80018346283224, 0, 0, 0, 0, 0, 0, 0, 0, 85929176877192, 0, 0, 0, 0, 0, -45248652895896, 0, 0, 278740526427888, 0, 0, 84913143345000, 0, 0, 0, 0, 0, 0, 0, 0, -144198451400016, 0, 0, 0, 0, 0, 6054956250000, 0, 0, -413727174383976, 0, 0, 41582667354048, 0, 0, 0, 0, 0, 0, 0, 0, 174342216420000, 0, 0, 0, 0, 0, -425959735914864, 0, 0, 541802723139360, 0, 0, -70914832515360, 0, 0, 0, 0, 0, 0, 0, 0, -355686035024928, 0, 0, 0, 0, 0, -198402126806832, 0, 0, -109867129380000, 0, 0, 78390371817648, 0, 0, 0, 0, 0, 0, 0, 0, 334262727919944, 0, 0, 0, 0, 0, -345486062182752, 0, 0, 296219961136176, 0, 0, 425551123353672, 0, 0, 0, 0, 0, 0], 'weight': 10, '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: 34624436
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 251, 'source_dim': 48, 'source_embedding_index': 43, 'source_hecke_orbit_code': 4503668514619707, 'source_is_minimal': True, 'source_label': '315.10.b.b.251.43', 'source_level': 315, 'target_conrey_index': 251, 'target_dim': 48, 'target_embedding_index': 43, 'target_hecke_orbit_code': 4503668514619707, 'target_is_minimal': True, 'target_label': '315.10.b.b.251.43', 'target_level': 315, 'twist_class_label': '315.10.b.a.251.6', 'twist_class_level': 315, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 34624437
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 251, 'source_dim': 48, 'source_embedding_index': 43, 'source_hecke_orbit_code': 4503668514619707, 'source_is_minimal': True, 'source_label': '315.10.b.b.251.43', 'source_level': 315, 'target_conrey_index': 251, 'target_dim': 48, 'target_embedding_index': 6, 'target_hecke_orbit_code': 68887249211, 'target_is_minimal': True, 'target_label': '315.10.b.a.251.6', 'target_level': 315, 'twist_class_label': '315.10.b.a.251.6', 'twist_class_level': 315, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 34624438
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 251, 'source_dim': 48, 'source_embedding_index': 43, 'source_hecke_orbit_code': 4503668514619707, 'source_is_minimal': True, 'source_label': '315.10.b.b.251.43', 'source_level': 315, 'target_conrey_index': 251, 'target_dim': 48, 'target_embedding_index': 43, 'target_hecke_orbit_code': 68887249211, 'target_is_minimal': True, 'target_label': '315.10.b.a.251.43', 'target_level': 315, 'twist_class_label': '315.10.b.a.251.6', 'twist_class_level': 315, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 10}
  • id: 34624439
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 251, 'source_dim': 48, 'source_embedding_index': 43, 'source_hecke_orbit_code': 4503668514619707, 'source_is_minimal': True, 'source_label': '315.10.b.b.251.43', 'source_level': 315, 'target_conrey_index': 251, 'target_dim': 48, 'target_embedding_index': 6, 'target_hecke_orbit_code': 4503668514619707, 'target_is_minimal': True, 'target_label': '315.10.b.b.251.6', 'target_level': 315, 'twist_class_label': '315.10.b.a.251.6', 'twist_class_level': 315, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 10}
• hecke_orbit_code 4503668514619707 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': 2, 'hecke_orbit': 2, 'label': '315.10.b.b', 'level': 315, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 20718666
    {'hecke_orbit_code': 4503668514619707, 'n': 1, 'trace_an': 48}
  • id: 20718667
    {'hecke_orbit_code': 4503668514619707, 'n': 2, 'trace_an': 0}
  • id: 20718668
    {'hecke_orbit_code': 4503668514619707, 'n': 3, 'trace_an': 0}
  • id: 20718669
    {'hecke_orbit_code': 4503668514619707, 'n': 4, 'trace_an': -12288}
  • id: 20718670
    {'hecke_orbit_code': 4503668514619707, 'n': 5, 'trace_an': 30000}
  • id: 20718671
    {'hecke_orbit_code': 4503668514619707, 'n': 6, 'trace_an': 0}
  • id: 20718672
    {'hecke_orbit_code': 4503668514619707, 'n': 7, 'trace_an': 1824}
  • id: 20718673
    {'hecke_orbit_code': 4503668514619707, 'n': 8, 'trace_an': 0}
  • id: 20718674
    {'hecke_orbit_code': 4503668514619707, 'n': 9, 'trace_an': 0}
  • id: 20718675
    {'hecke_orbit_code': 4503668514619707, 'n': 10, 'trace_an': 0}
  • id: 20718676
    {'hecke_orbit_code': 4503668514619707, 'n': 11, 'trace_an': 0}
  • id: 20718677
    {'hecke_orbit_code': 4503668514619707, 'n': 12, 'trace_an': 0}
  • id: 20718678
    {'hecke_orbit_code': 4503668514619707, 'n': 13, 'trace_an': 0}
  • id: 20718679
    {'hecke_orbit_code': 4503668514619707, 'n': 14, 'trace_an': -442908}
  • id: 20718680
    {'hecke_orbit_code': 4503668514619707, 'n': 15, 'trace_an': 0}
  • id: 20718681
    {'hecke_orbit_code': 4503668514619707, 'n': 16, 'trace_an': 3258948}
  • id: 20718682
    {'hecke_orbit_code': 4503668514619707, 'n': 17, 'trace_an': 0}
  • id: 20718683
    {'hecke_orbit_code': 4503668514619707, 'n': 18, 'trace_an': 0}
  • id: 20718684
    {'hecke_orbit_code': 4503668514619707, 'n': 19, 'trace_an': 0}
  • id: 20718685
    {'hecke_orbit_code': 4503668514619707, 'n': 20, 'trace_an': -7680000}
  • id: 20718686
    {'hecke_orbit_code': 4503668514619707, 'n': 21, 'trace_an': 0}
  • id: 20718687
    {'hecke_orbit_code': 4503668514619707, 'n': 22, 'trace_an': -2860668}
  • id: 20718688
    {'hecke_orbit_code': 4503668514619707, 'n': 23, 'trace_an': 0}
  • id: 20718689
    {'hecke_orbit_code': 4503668514619707, 'n': 24, 'trace_an': 0}
  • id: 20718690
    {'hecke_orbit_code': 4503668514619707, 'n': 25, 'trace_an': 18750000}
  • id: 20718691
    {'hecke_orbit_code': 4503668514619707, 'n': 26, 'trace_an': 5432976}
  • id: 20718692
    {'hecke_orbit_code': 4503668514619707, 'n': 27, 'trace_an': 0}
  • id: 20718693
    {'hecke_orbit_code': 4503668514619707, 'n': 28, 'trace_an': -3685092}
  • id: 20718694
    {'hecke_orbit_code': 4503668514619707, 'n': 29, 'trace_an': 0}
  • id: 20718695
    {'hecke_orbit_code': 4503668514619707, 'n': 30, 'trace_an': 0}
  • id: 20718696
    {'hecke_orbit_code': 4503668514619707, 'n': 31, 'trace_an': 0}
  • id: 20718697
    {'hecke_orbit_code': 4503668514619707, 'n': 32, 'trace_an': 0}
  • id: 20718698
    {'hecke_orbit_code': 4503668514619707, 'n': 33, 'trace_an': 0}
  • id: 20718699
    {'hecke_orbit_code': 4503668514619707, 'n': 34, 'trace_an': 0}
  • id: 20718700
    {'hecke_orbit_code': 4503668514619707, 'n': 35, 'trace_an': 1140000}
  • id: 20718701
    {'hecke_orbit_code': 4503668514619707, 'n': 36, 'trace_an': 0}
  • id: 20718702
    {'hecke_orbit_code': 4503668514619707, 'n': 37, 'trace_an': 7750344}
  • id: 20718703
    {'hecke_orbit_code': 4503668514619707, 'n': 38, 'trace_an': -17423136}
  • id: 20718704
    {'hecke_orbit_code': 4503668514619707, 'n': 39, 'trace_an': 0}
  • id: 20718705
    {'hecke_orbit_code': 4503668514619707, 'n': 40, 'trace_an': 0}
  • id: 20718706
    {'hecke_orbit_code': 4503668514619707, 'n': 41, 'trace_an': 70626600}
  • id: 20718707
    {'hecke_orbit_code': 4503668514619707, 'n': 42, 'trace_an': 0}
  • id: 20718708
    {'hecke_orbit_code': 4503668514619707, 'n': 43, 'trace_an': 16073832}
  • id: 20718709
    {'hecke_orbit_code': 4503668514619707, 'n': 44, 'trace_an': 0}
  • id: 20718710
    {'hecke_orbit_code': 4503668514619707, 'n': 45, 'trace_an': 0}
  • id: 20718711
    {'hecke_orbit_code': 4503668514619707, 'n': 46, 'trace_an': -15083820}
  • id: 20718712
    {'hecke_orbit_code': 4503668514619707, 'n': 47, 'trace_an': 33200856}
  • id: 20718713
    {'hecke_orbit_code': 4503668514619707, 'n': 48, 'trace_an': 0}
  • id: 20718714
    {'hecke_orbit_code': 4503668514619707, 'n': 49, 'trace_an': -39367500}
  • id: 20718715
    {'hecke_orbit_code': 4503668514619707, 'n': 50, 'trace_an': 0}
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  • id: 20718913
    {'hecke_orbit_code': 4503668514619707, 'n': 937, 'trace_an': 0}
  • id: 20718914
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  • id: 20718915
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  • id: 20718916
    {'hecke_orbit_code': 4503668514619707, 'n': 953, 'trace_an': 0}
  • id: 20718917
    {'hecke_orbit_code': 4503668514619707, 'n': 961, 'trace_an': -177843017512464}
  • id: 20718918
    {'hecke_orbit_code': 4503668514619707, 'n': 967, 'trace_an': -99201063403416}
  • id: 20718919
    {'hecke_orbit_code': 4503668514619707, 'n': 971, 'trace_an': -91602223144488}
  • id: 20718920
    {'hecke_orbit_code': 4503668514619707, 'n': 977, 'trace_an': 0}
  • id: 20718921
    {'hecke_orbit_code': 4503668514619707, 'n': 983, 'trace_an': -34252112537496}
  • id: 20718922
    {'hecke_orbit_code': 4503668514619707, 'n': 991, 'trace_an': 148109980568088}
  • id: 20718923
    {'hecke_orbit_code': 4503668514619707, 'n': 997, 'trace_an': 0}