Embedded newform data - 882.4.a.bd.1.1

Formats: - HTML - YAML - JSON - 2024-04-28T12:26:34.759319

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 14112, 'analytic_conductor': 52.039684625063224, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1], [7, 1]], 'atkin_lehner_string': '-++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [882, 1, [785, 199], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 2, 'field_disc': 193, 'field_disc_factorization': [[193, 1]], 'field_poly': [-48, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [-36, 7, 1]], [11, [-2208, -25, 1]], [13, [-606, 49, 1]]], 'hecke_orbit': 30, 'hecke_orbit_code': 130604389260854130, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '882.4.a.bd', 'level': 882, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '126.4.g.e', 'nf_label': '2.2.193.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2q^{2}+4q^{4}+(-3-\\beta )q^{5}+8q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '882.4.a', 'trace_display': [4, 0, -7, 0], 'trace_hash': 1681881196009743969, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.934', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.318', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '63.537', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [2, 4, 0, 8, -7, 0, 0, 16, 0, -14, 25, 0, -49, 0, 0, 32, -98, 0, -119, -28, 0, 50, -122, 0, -129, -98, 0, 0, -73, 0, 98, 64, 0, -196, 0, 0, 289, -238, 0, -56, -336, 0, 307, 100, 0, -244, -672, 0, 0, -258, 0, -196, 375, 0, -763, 0, 0, -146, -763, 0, -406, 196, 0, 128, 654, 0, -1041, -392, 0, 0, -1652, 0, -189, 578, 0, -476, 0, 0, 524, -112, 0, -672, -287, 0, -622, 614, 0, 200, -2394, 0, 0, -488, 0, -1344, 706, 0, -63, 0, 0, -516, -910, 0, -161, -392, 0, 750, 1419, 0, -717, -1526, 0, 0, -3052, 0, 1778, -292, 0, -1526, 0, 0, 2379, -812, 0, 392, 651, 0, -688, 256, 0, 1308, -4459, 0, 0, -2082, 0, -784, 2666, 0, 3465, 0, 0, -3304, -3990, 0, 931, -378, 0, 1156, 2958, 0, 243, -952, 0, 0, -3045, 0, 4018, 1048, 0, -224, 0, 0, 226, -1344, 0, -574, -2086, 0, -781, -1244, 0, 1228, -4774, 0, 0, 400, 0, -4788, 3768, 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• 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

  
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[-0.09953350757416879, 0.0], [-1.915106349662181, 0.0], [0.0, 0.0], [-1.3983954975381108, 0.0], [-0.012640330442016135, 0.0], [0.0, 0.0], [0.14117005634684612, 0.0], [1.414380098694634, 0.0], [0.0, 0.0], [0.2556735415760191, 0.0], [0.014488877926715145, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9991087368379443, 0.0], [0.0, 0.0], [0.6391477646627591, 0.0], [-0.57967873837752, 0.0], [0.0, 0.0], [0.9840637738083883, 0.0], [0.0, 0.0], [0.0, 0.0], [0.2836238848290753, 0.0], [0.8667439843079326, 0.0], [0.0, 0.0], [-0.391348634844169, 0.0], [-0.13874057083916266, 0.0], [0.0, 0.0], [0.957482636204965, 0.0], [-0.1844523588967264, 0.0], [0.0, 0.0], [-0.6044064779961847, 0.0], [0.5971416792228124, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2370387267591478, 0.0], [0.0, 0.0], [0.6000668400209892, 0.0], [0.5096598909382408, 0.0], [0.0, 0.0], [0.17553762544644513, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6577744100980776, 0.0], [-0.7689513414626972, 0.0], [0.0, 0.0], [-0.18923439072593867, 0.0], [-0.75812020079773, 0.0], [0.0, 0.0], [-0.50639634004589, 0.0], [-0.07073534201334075, 0.0], [0.0, 0.0], [-0.1872183510350258, 0.0], [0.07873921047573253, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.3738341997094291, 0.0], [0.0, 0.0], [-1.6876960392176752, 0.0], [-0.9428989977940202, 0.0], [0.0, 0.0], [0.6018945951632192, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.3970800392428264, 0.0], [0.4739180813218206, 0.0], [0.0, 0.0], [-0.09008771468516676, 0.0], [1.3339042383130386, 0.0], [0.0, 0.0], [-0.16386772599520152, 0.0], [-0.28429335917888016, 0.0], [0.0, 0.0], [-0.09635577778649472, 0.0], [0.5286034296967843, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.21646148097302495, 0.0], [0.0, 0.0], [-1.1979821023936572, 0.0], [-0.4569863004968373, 0.0], [0.0, 0.0], [-0.7793386614341986, 0.0], [0.0, 0.0], [0.0, 0.0], [0.24544856143355018, 0.0], [0.4635765280420136, 0.0], [0.0, 0.0], [0.9180736534738084, 0.0], [-0.44419769165917566, 0.0], [0.0, 0.0], [0.03205448110645248, 0.0], [0.021747607850908623, 0.0], [0.0, 0.0], [1.556582264136161, 0.0], [0.08712092850910706, 0.0], [0.0, 0.0], [0.0, 0.0], [1.6771022200919035, 0.0], [0.0, 0.0], [-0.12422767788105923, 0.0], [-0.42392406048325604, 0.0], [0.0, 0.0], [-0.7883909221666819, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9901793546213665, 0.0], [-1.1528425394785484, 0.0], [0.0, 0.0], [0.34836489241978796, 0.0], [-0.5325558392516014, 0.0], [0.0, 0.0], [-0.11109605216427777, 0.0], [0.63886349907528, 0.0], [0.0, 0.0], [-0.722796860452856, 0.0], [0.16096660389793357, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6332612338936446, 0.0], [0.0, 0.0], [0.017406481497952687, 0.0], [0.22402659182671186, 0.0], [0.0, 0.0], [-3.136993504777913, 0.0], [0.0, 0.0], [0.0, 0.0], [0.4107930493040045, 0.0], [-0.34685095075023287, 0.0], [0.0, 0.0], [-0.9713812037288738, 0.0], [-0.1125167344449257, 0.0], [0.0, 0.0], [0.6129133229511533, 0.0], [-0.03881755762297597, 0.0], [0.0, 0.0], [0.2393091667186701, 0.0], [0.24938545433107703, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.6470853322920422, 0.0], [0.0, 0.0], [-0.5512862909637739, 0.0], [-0.9549982643620831, 0.0], [0.0, 0.0], [0.3722953610724367, 0.0]], 'angles': [None, None, -0.32736306318782854, None, -0.09194930372885694, -0.3588493366496585, -0.22668562046830754, -0.33059477021125383, -0.3773161222161043, -0.29393107657295164, -0.12539075263435823, -0.1384099827123008, -0.3018357054726364, -0.2478467841736818, -0.29230609353564785, -0.3025321813484456, -0.42408971926674904, -0.24445822508558335, -0.29069099570984797, -0.3384892921013001, -0.3556028868066892, -0.2981880308289567, -0.3340083184229082, -0.4428368766675124, -0.15788256077670298, -0.17018551724639386, -0.29976720033068516, -0.2724775590116036, -0.4029548078045622, -0.3770492678278392, -0.24208826807733463, -0.4055985411651536, -0.09977825542225512, -0.16880394423283943, -0.10038168464280446, -0.16825643871795845, -0.22425550776719946, -0.302400313723905, -0.2356766056497914, -0.2718441961119035, -0.2649725888662036, -0.24397404175696416, -0.239411738246619, -0.20400471827420819, -0.16299895397914532, -0.0782947829238599, -0.4152364415650909, -0.1475703198340964, -0.23745528000288454, -0.14720636423165454, -0.2847257869764711, -0.31967383037712505, -0.19336850777647174, -0.17911545659690725, -0.3758448352397658, -0.2296839793282444, -0.1410525242632717, -0.2600014668801296, -0.3313053038440243, -0.17399760176993614, -0.2645801473103166, -0.2763305073716054, -0.23494072139255748, -0.09183702700117928, -0.35327255677321906, -0.3574046464377074, -0.20801660921589268, -0.21440943184079778, -0.3995421304128191, -0.2776871674872963, -0.3195848333074651, -0.24068707394973762, -0.15099280210100943, -0.034143784544940964, -0.18073668083956462, -0.12347253118666553, -0.29435899949450983, -0.38821239592507756, -0.19430181593270665, -0.2362428461220307, -0.2524584789081996, -0.25258936945441307, -0.23408628317972036, -0.24836939982345993, -0.14500533859101847, -0.32028166050879203, -0.32699382750636125, -0.36615334639362623, -0.26014529926427377, -0.2822137478133584, -0.4108271478980922, -0.34411517936478575, -0.3238932008299009, -0.20309341994613334, -0.3679898449095158, -0.3811580821866656, -0.1513728298119857, -0.20117355169589185, -0.1840571725378219, -0.14399992630987044, -0.2871439828004846, -0.26291945166957376, -0.20548353215589682, -0.17250903978308627, -0.2954665671287088, -0.23219364759238414, -0.19301604104144626, -0.25975858495643234, -0.21527095525768478, -0.11579925626041104, -0.1491658181785833, -0.16258277557490197, -0.4557238178484129, -0.18894916998371875, -0.09828380574031317, -0.27727288141877754, -0.24201900066624576, -0.2867757693331635, -0.1846983511144958, -0.30251233458065546, -0.37236625842910814, -0.1326074890557171, -0.37348071829811286, -0.29028255366876604, -0.1817282718651903, -0.33231204062146447, -0.29298350675848595, -0.33625569267282135, -0.19446644507087066, -0.1958075300084311, -0.1873086043754166, -0.25370566863552513, -0.372237111611008, -0.3724772528108533, -0.2841114351003013, -0.24113966212207613, -0.3628001344516154, -0.10807496773550333, -0.2128840929679425, -0.18625626817619048, -0.25196974451498416, -0.29771793792898715, -0.3257257522586348, -0.2657524432474891, -0.39714331748712695, -0.317783709095414, -0.37353712537476746, -0.4534621801621084, -0.373229651826502, -0.12498125697537282, -0.22735358573738282, -0.2610494980744159, -0.1705465896070516, -0.20174504264415588, -0.26492020750881506, -0.279924789065685, -0.37308329616352887, -0.20742926467227205, -0.3137053493347968, -0.21277117439744495, -0.24826934624860464, -0.09170156887629669, -0.2588452957290712, -0.23717681533709578, -0.23213503804239632, -0.27774178754095447, -0.23091064436057274, -0.29444540303312566], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 7.446221994724902, 'hecke_orbit': 30, 'hecke_orbit_code': 130604389260854130, 'label': '882.4.a.bd.1.1', 'level': 882, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[2, -1], [3, -1], [7, -1]], 7, 7], [[[2, -1], [3, 1], [7, -1]], 6, 4], [[[2, -1], [3, -1], [7, 1]], 9, 6], [[[2, 1], [3, -1], [7, -1]], 8, 6], [[[2, 1], [3, -1], [7, 1]], 7, 4], [[[2, -1], [3, 1], [7, 1]], 4, 2], [[[2, 1], [3, 1], [7, -1]], 6, 4], [[[2, 1], [3, 1], [7, 1]], 4, 2]], 'ALdims': [4, 6, 7, 8, 4, 6, 9, 7], 'Nk2': 14112, 'analytic_conductor': 52.039684625063224, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [882, 1, [785, 199], [1, 1]], 'conrey_index': 1, 'cusp_dim': 472, 'dim': 51, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 13], 'hecke_orbit_code': 67109746, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], 'label': '882.4.a', 'level': 882, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 536, 'mf_new_dim': 51, 'num_forms': 35, 'plus_dim': 27, 'prim_orbit_index': 1, 'relative_dim': 51, 'sturm_bound': 672, 'trace_bound': 13, 'trace_display': [2, 0, 0, 0], 'traces': [51, 2, 0, 204, 0, 0, 0, 8, 0, 32, -56, 0, 68, 0, 0, 816, -162, 0, -198, 0, 0, -56, -28, 0, 909, -152, 0, 0, 530, 0, 692, 32, 0, 148, 0, 0, 1170, -260, 0, 128, 798, 0, 4, -224, 0, -32, -180, 0, 0, -314, 0, 272, -182, 0, -80, 0, 0, 396, -1986, 0, 1112, 472, 0, 3264, -792, 0, 816, -648, 0, 0, 2568, 0, 1342, 1956, 0, -792, 0, 0, -956, 0, 0, 1236, 78, 0, -1436, 616, 0, -224, 1650, 0, 0, -112, 0, -792, -764, 0, -902, 0, 0, 3636, -3456, 0, -4476, -608, 0, 772, 2048, 0, -4198, -4704, 0, 0, 2946, 0, 256, 2120, 0, 2420, 0, 0, 5899, 1792, 0, 2768, 1584, 0, -5912, 128, 0, 2896, 3462, 0, 0, -3448, 0, 592, 4650, 0, 3718, 0, 0, 1904, 5424, 0, -6640, -956, 0, 4680, 6034, 0, -1796, -1040, 0, 0, 1116, 0, 2436, 7696, 0, 512, 0, 0, -624, 3192, 0, 1972, 5052, 0, 2401, 10592, 0, 16, 5844, 0, 0, -896, 0, -6132, -12456, 0, 9980, 0, 0, -128, 4800, 0, 1664, -720, 0, 9696, -7636, 0, 9666, -10196, 0, 0, -3754, 0, -1044, -1256, 0, 5984, 0, 0, -104, 7096, 0, 1088, -7536, 0, -7948, -728, 0, -9112, 13344, 0, 0, -828, 0, -320, -15552, 0, -17856, 0, 0, -11108, -330, 0, -9884, -8448, 0, 1584, -10998, 0, -4956, -7944, 0, 0, -22080, 0, -11718, 1482, 0, 4448, 0, 0, -21032, 1888, 0, 20448, 5034, 0, -27188, 24480, 0, 13056, 16938, 0, 0, -3168, 0, -5500, -23508, 0, -2448, 0, 0, 3264, -6876, 0, -13864, -2592, 0, 11300, -24348, 0, -13594, -18044, 0, 0, 23950, 0, -9278, 10272, 0, -16896, 0, 0, -13679, 3168, 0, 5368, -840, 0, 29148, 7824, 0, 22708, 576, 0, 0, -1472, 0, -3168, -2764, 0, 9466, 0, 0, 8960, -12408, 0, -2486, -824, 0, -3824, -31022, 0, 5496, 0, 0, 0, -14372, 0, 41852, 19848, 0, 4944, 0, 0, 36448, 312, 0, -760, 17376, 0, -21798, 17654, 0, -5744, 4800, 0, 0, 2464, 0, 8024, -5472, 0, -36404, 0, 0, -896, -12054, 0, 10384, 6600, 0, 23688, -22436, 0, 12323, -11336, 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• 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: 48718324
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 130604389260854130, 'source_is_minimal': False, 'source_label': '882.4.a.bd.1.1', 'source_level': 882, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 130604389260854130, 'target_is_minimal': False, 'target_label': '882.4.a.bd.1.1', 'target_level': 882, 'twist_class_label': '126.4.g.e.37.2', 'twist_class_level': 126, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48718325
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 130604389260854130, 'source_is_minimal': False, 'source_label': '882.4.a.bd.1.1', 'source_level': 882, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 117093590378742642, 'target_is_minimal': False, 'target_label': '882.4.a.ba.1.2', 'target_level': 882, 'twist_class_label': '126.4.g.e.37.2', 'twist_class_level': 126, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48718326
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 130604389260854130, 'source_is_minimal': False, 'source_label': '882.4.a.bd.1.1', 'source_level': 882, 'target_conrey_index': 109, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014810893451390, 'target_is_minimal': True, 'target_label': '126.4.g.e.109.2', 'target_level': 126, 'twist_class_label': '126.4.g.e.37.2', 'twist_class_level': 126, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48718327
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 130604389260854130, 'source_is_minimal': False, 'source_label': '882.4.a.bd.1.1', 'source_level': 882, 'target_conrey_index': 667, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 112590403068232562, 'target_is_minimal': False, 'target_label': '882.4.g.z.667.1', 'target_level': 882, 'twist_class_label': '126.4.g.e.37.2', 'twist_class_level': 126, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48718328
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 130604389260854130, 'source_is_minimal': False, 'source_label': '882.4.a.bd.1.1', 'source_level': 882, 'target_conrey_index': 37, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014810893451390, 'target_is_minimal': True, 'target_label': '126.4.g.e.37.2', 'target_level': 126, 'twist_class_label': '126.4.g.e.37.2', 'twist_class_level': 126, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 48718329
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 130604389260854130, 'source_is_minimal': False, 'source_label': '882.4.a.bd.1.1', 'source_level': 882, 'target_conrey_index': 361, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 112590403068232562, 'target_is_minimal': False, 'target_label': '882.4.g.z.361.1', 'target_level': 882, 'twist_class_label': '126.4.g.e.37.2', 'twist_class_level': 126, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48718330
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 130604389260854130, 'source_is_minimal': False, 'source_label': '882.4.a.bd.1.1', 'source_level': 882, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 148618787770336114, 'target_is_minimal': False, 'target_label': '882.4.a.bh.1.2', 'target_level': 882, 'twist_class_label': '126.4.g.e.37.2', 'twist_class_level': 126, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 4}
  • id: 48718331
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 130604389260854130, 'source_is_minimal': False, 'source_label': '882.4.a.bd.1.1', 'source_level': 882, 'target_conrey_index': 109, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518410520821886, 'target_is_minimal': True, 'target_label': '126.4.g.f.109.1', 'target_level': 126, 'twist_class_label': '126.4.g.e.37.2', 'twist_class_level': 126, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48718332
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 130604389260854130, 'source_is_minimal': False, 'source_label': '882.4.a.bd.1.1', 'source_level': 882, 'target_conrey_index': 361, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 157626399341937522, 'target_is_minimal': False, 'target_label': '882.4.g.bj.361.2', 'target_level': 882, 'twist_class_label': '126.4.g.e.37.2', 'twist_class_level': 126, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48718333
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 130604389260854130, 'source_is_minimal': False, 'source_label': '882.4.a.bd.1.1', 'source_level': 882, 'target_conrey_index': 37, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518410520821886, 'target_is_minimal': True, 'target_label': '126.4.g.f.37.1', 'target_level': 126, 'twist_class_label': '126.4.g.e.37.2', 'twist_class_level': 126, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48718334
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 130604389260854130, 'source_is_minimal': False, 'source_label': '882.4.a.bd.1.1', 'source_level': 882, 'target_conrey_index': 667, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 157626399341937522, 'target_is_minimal': False, 'target_label': '882.4.g.bj.667.2', 'target_level': 882, 'twist_class_label': '126.4.g.e.37.2', 'twist_class_level': 126, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 4}
  • id: 48718335
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 130604389260854130, 'source_is_minimal': False, 'source_label': '882.4.a.bd.1.1', 'source_level': 882, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 90071992614519666, 'target_is_minimal': False, 'target_label': '882.4.a.u.1.1', 'target_level': 882, 'twist_class_label': '126.4.g.e.37.2', 'twist_class_level': 126, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1447225
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 130604389260854130, 'p': 2}
  • id: 1447226
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 130604389260854130, 'p': 3}
  • id: 1447227
    {'charpoly_factorization': [[[-36, 7, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 5}
  • id: 1447228
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 130604389260854130, 'p': 7}
  • id: 1447229
    {'charpoly_factorization': [[[-2208, -25, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 11}
  • id: 1447230
    {'charpoly_factorization': [[[-606, 49, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 13}
  • id: 1447231
    {'charpoly_factorization': [[[-2424, 98, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 17}
  • id: 1447232
    {'charpoly_factorization': [[[3106, 119, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 19}
  • id: 1447233
    {'charpoly_factorization': [[[-5736, 122, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 23}
  • id: 1447234
    {'charpoly_factorization': [[[-1032, 73, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 29}
  • id: 1447235
    {'charpoly_factorization': [[[-35427, -98, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 31}
  • id: 1447236
    {'charpoly_factorization': [[[-398, -289, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 37}
  • id: 1447237
    {'charpoly_factorization': [[[168, 1], 2]], 'hecke_orbit_code': 130604389260854130, 'p': 41}
  • id: 1447238
    {'charpoly_factorization': [[[2284, -307, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 43}
  • id: 1447239
    {'charpoly_factorization': [[[85104, 672, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 47}
  • id: 1447240
    {'charpoly_factorization': [[[-156348, -375, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 53}
  • id: 1447241
    {'charpoly_factorization': [[[-33996, 763, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 59}
  • id: 1447242
    {'charpoly_factorization': [[[-14568, 406, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 61}
  • id: 1447243
    {'charpoly_factorization': [[[211814, 1041, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 67}
  • id: 1447244
    {'charpoly_factorization': [[[644448, 1652, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 71}
  • id: 1447245
    {'charpoly_factorization': [[[-445054, 189, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 73}
  • id: 1447246
    {'charpoly_factorization': [[[-394749, -524, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 79}
  • id: 1447247
    {'charpoly_factorization': [[[-361596, 287, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 83}
  • id: 1447248
    {'charpoly_factorization': [[[1292112, 2394, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 89}
  • id: 1447249
    {'charpoly_factorization': [[[-1158214, 63, 1], 1]], 'hecke_orbit_code': 130604389260854130, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 30, 'label': '882.4.a.bd', 'level': 882, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 265238000
    {'hecke_orbit_code': 130604389260854130, 'n': 1, 'trace_an': 2}
  • id: 265238001
    {'hecke_orbit_code': 130604389260854130, 'n': 2, 'trace_an': 4}
  • id: 265238002
    {'hecke_orbit_code': 130604389260854130, 'n': 3, 'trace_an': 0}
  • id: 265238003
    {'hecke_orbit_code': 130604389260854130, 'n': 4, 'trace_an': 8}
  • id: 265238004
    {'hecke_orbit_code': 130604389260854130, 'n': 5, 'trace_an': -7}
  • id: 265238005
    {'hecke_orbit_code': 130604389260854130, 'n': 6, 'trace_an': 0}
  • id: 265238006
    {'hecke_orbit_code': 130604389260854130, 'n': 7, 'trace_an': 0}
  • id: 265238007
    {'hecke_orbit_code': 130604389260854130, 'n': 8, 'trace_an': 16}
  • id: 265238008
    {'hecke_orbit_code': 130604389260854130, 'n': 9, 'trace_an': 0}
  • id: 265238009
    {'hecke_orbit_code': 130604389260854130, 'n': 10, 'trace_an': -14}
  • id: 265238010
    {'hecke_orbit_code': 130604389260854130, 'n': 11, 'trace_an': 25}
  • id: 265238011
    {'hecke_orbit_code': 130604389260854130, 'n': 12, 'trace_an': 0}
  • id: 265238012
    {'hecke_orbit_code': 130604389260854130, 'n': 13, 'trace_an': -49}
  • id: 265238013
    {'hecke_orbit_code': 130604389260854130, 'n': 14, 'trace_an': 0}
  • id: 265238014
    {'hecke_orbit_code': 130604389260854130, 'n': 15, 'trace_an': 0}
  • id: 265238015
    {'hecke_orbit_code': 130604389260854130, 'n': 16, 'trace_an': 32}
  • id: 265238016
    {'hecke_orbit_code': 130604389260854130, 'n': 17, 'trace_an': -98}
  • id: 265238017
    {'hecke_orbit_code': 130604389260854130, 'n': 18, 'trace_an': 0}
  • id: 265238018
    {'hecke_orbit_code': 130604389260854130, 'n': 19, 'trace_an': -119}
  • id: 265238019
    {'hecke_orbit_code': 130604389260854130, 'n': 20, 'trace_an': -28}
  • id: 265238020
    {'hecke_orbit_code': 130604389260854130, 'n': 21, 'trace_an': 0}
  • id: 265238021
    {'hecke_orbit_code': 130604389260854130, 'n': 22, 'trace_an': 50}
  • id: 265238022
    {'hecke_orbit_code': 130604389260854130, 'n': 23, 'trace_an': -122}
  • id: 265238023
    {'hecke_orbit_code': 130604389260854130, 'n': 24, 'trace_an': 0}
  • id: 265238024
    {'hecke_orbit_code': 130604389260854130, 'n': 25, 'trace_an': -129}
  • id: 265238025
    {'hecke_orbit_code': 130604389260854130, 'n': 26, 'trace_an': -98}
  • id: 265238026
    {'hecke_orbit_code': 130604389260854130, 'n': 27, 'trace_an': 0}
  • id: 265238027
    {'hecke_orbit_code': 130604389260854130, 'n': 28, 'trace_an': 0}
  • id: 265238028
    {'hecke_orbit_code': 130604389260854130, 'n': 29, 'trace_an': -73}
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  • id: 265238128
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  • id: 265238129
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  • id: 265238130
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  • id: 265238131
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  • id: 265238219
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  • id: 265238227
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