Embedded newform data - 1472.2.a.o.1.1

Formats: - HTML - YAML - JSON - 2026-10-24T13:51:14.825121

• 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': 5888, 'analytic_conductor': 11.753979177532473, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [23, 1]], 'atkin_lehner_string': '++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1472, 1, [1151, 645, 833], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-1, 2, 1]], [5, [2, -4, 1]], [7, [2, 4, 1]]], 'hecke_orbit': 15, 'hecke_orbit_code': 63050394816742848, 'hecke_ring_generator_nbound': 3, '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_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1472.2.a.o', 'level': 1472, '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, 23], 'level_radical': 46, 'minimal_twist': '736.2.a.a', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-1+\\beta )q^{3}+(2-\\beta )q^{5}+(-2+\\beta )q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1472.2.a', 'trace_display': [0, -2, 4, -4], 'trace_hash': 1147161198140504943, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.995', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '10.114', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.563', 'prec': 10}, {'__RealLiteral__': 0, 'data': '73.156', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.024', 'prec': 7}, 'traces': [2, 0, -2, 0, 4, 0, -4, 0, 0, 0, 0, 0, 2, 0, -8, 0, -8, 0, -4, 0, 8, 0, -2, 0, 2, 0, -2, 0, 10, 0, -10, 0, -12, 0, -12, 0, 4, 0, 6, 0, -14, 0, -8, 0, 8, 0, -2, 0, -2, 0, 12, 0, -4, 0, 12, 0, 12, 0, -8, 0, -4, 0, -8, 0, -4, 0, -8, 0, 2, 0, 10, 0, 10, 0, -18, 0, -12, 0, -12, 0, -2, 0, -4, 0, -20, 0, -10, 0, -16, 0, 4, 0, -2, 0, -16, 0, 0, 0, 24, 0, 16, 0, -12, 0, 28, 0, -20, 0, -16, 0, -24, 0, -8, 0, -4, 0, -16, 0, 20, 0, 14, 0, 30, 0, 0, 0, 10, 0, 8, 0, 2, 0, 16, 0, 0, 0, -8, 0, -18, 0, -10, 0, -24, 0, 20, 0, -14, 0, 20, 0, -6, 0, -8, 0, -8, 0, -16, 0, 36, 0, 4, 0, -14, 0, -36, 0, -8, 0, -8, 0, -16, 0, 0, 0, -20, 0, 16, 0, 38, 0, -12, 0, 20, 0, 28, 0, -12, 0, 0, 0, -32, 0, 14, 0, 16, 0, -6, 0, 24, 0, -20, 0, -20, 0, -44, 0, 0, 0, -24, 0, 16, 0, -14, 0, -16, 0, 8, 0, -2, 0, 0, 0, 20, 0, 32, 0, 36, 0, 48, 0, 36, 0, -10, 0, 8, 0, -12, 0, 34, 0, 28, 0, 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0, 32, 0, 36, 0, 64, 0, 0, 0, -188, 0, 36, 0, 40, 0, 16, 0, 100, 0, 84, 0, -10, 0, -78, 0, -20, 0, -184, 0, 44, 0, 40, 0, 32, 0, 52, 0, -28, 0, -36, 0, 24, 0, 144, 0, -4, 0, 64, 0, 48, 0, -16, 0, -24, 0, 108, 0, -68, 0, -112, 0, -20, 0, 132, 0, -8, 0, 64, 0, -80, 0, -56, 0, -2, 0, 92, 0, -26, 0, -80, 0, -48, 0, 80, 0, -12, 0, -112, 0, -24, 0, 84, 0, 34, 0, 36, 0, -16, 0, -136, 0, -80, 0, -52, 0, -16, 0, -14, 0, -112, 0, 6, 0, -74, 0, 110, 0, 52, 0, 16, 0, 12, 0, -24, 0, 38, 0, 36, 0, 192, 0, 60, 0, 158, 0, -64, 0, 0, 0, -16, 0, 64, 0, -4, 0, 16, 0, 92, 0, 40, 0, 168, 0, -30, 0, -104, 0, -30, 0, 108, 0, 30, 0, 72, 0, -134, 0, -72, 0, -140, 0, 22, 0, -144, 0, 68, 0, 32, 0, 108, 0, 28, 0, -52, 0, 70, 0, 84, 0, 92, 0, -44, 0, 4, 0, 120, 0, 48, 0, 0, 0, -176, 0, 44, 0, 32, 0, 96, 0, 148, 0, -48, 0, 12, 0, -24, 0, -72, 0, 16, 0, -24, 0, 52, 0, -94, 0, -8, 0, 168, 0, 80, 0, -96, 0, -86, 0, 124, 0, -216, 0, 0, 0, -108, 0, -10, 0, 96, 0, 16, 0, 44, 0, 80, 0, -80, 0, -64, 0, 128, 0, 96, 0, -40, 0, 24, 0, 32, 0, 8, 0, 60, 0, 28, 0, 76, 0, -26, 0, 0, 0, 102, 0, 72, 0, -40, 0, -44, 0, 24, 0, -8, 0, 8, 0, -78, 0, 32, 0, 116, 0, 16, 0, 72, 0, -48, 0, 64, 0, -180, 0, -60, 0, -60, 0, -120, 0, -38, 0, -32, 0, -124, 0, 70, 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], [0.0, 0.0], [-1.3938468501173518, 0.0], [0.0, 0.0], [1.5268827230335917, 0.0], [0.0, 0.0], [-1.2904514298433032, 0.0], [0.0, 0.0], [0.9428090415820634, 0.0], [0.0, 0.0], [1.2792042981336627, 0.0], [0.0, 0.0], [-0.5071144424401216, 0.0], [0.0, 0.0], [-2.1282406739989765, 0.0], [0.0, 0.0], [-1.3131396704303495, 0.0], [0.0, 0.0], [-1.1077171522641738, 0.0], [0.0, 0.0], [1.798691660716521, 0.0], [0.0, 0.0], [-0.20851441405707477, 0.0], [0.0, 0.0], [1.331370849898476, 0.0], [0.0, 0.0], [0.07971543724603342, 0.0], [0.0, 0.0], [0.9284766908852593, 0.0], [0.0, 0.0], [-0.1360257481327315, 0.0], [0.0, 0.0], [-1.7830148816101834, 0.0], [0.0, 0.0], [-1.9703679931417348, 0.0], [0.0, 0.0], [1.4912743620489073, 0.0], [0.0, 0.0], [0.7068398682441805, 0.0], [0.0, 0.0], [-1.9766685418190149, 0.0], [0.0, 0.0], [-0.6099942813304187, 0.0], [0.0, 0.0], [1.4395588367115117, 0.0], [0.0, 0.0], [0.4729877562573815, 0.0], [0.0, 0.0], [0.6652648927846257, 0.0], [0.0, 0.0], [1.8303155933934803, 0.0], [0.0, 0.0], [-1.8287785076690006, 0.0], [0.0, 0.0], [1.9531949420506012, 0.0], [0.0, 0.0], [1.5439880635043814, 0.0], [0.0, 0.0], [-0.8889854910826248, 0.0], [0.0, 0.0], [-0.9803597282059402, 0.0], [0.0, 0.0], [-1.216649275778768, 0.0], [0.0, 0.0], [-0.7743042807626345, 0.0], [0.0, 0.0], [0.7207380183886832, 0.0], [0.0, 0.0], [0.2906371592375189, 0.0], [0.0, 0.0], [0.7612271007562644, 0.0], [0.0, 0.0], [0.25416338053970566, 0.0], [0.0, 0.0], [-1.8557270654690523, 0.0], [0.0, 0.0], [-1.650751015588284, 0.0], [0.0, 0.0], [0.2796160004552617, 0.0], [0.0, 0.0], [-1.0539201526931745, 0.0], [0.0, 0.0], [-1.6165994662507799, 0.0], [0.0, 0.0], [-2.0050102757101254, 0.0], [0.0, 0.0], [-1.2941543109978009, 0.0], [0.0, 0.0], [-0.847998304005088, 0.0], [0.0, 0.0], [0.6544065573410444, 0.0], [0.0, 0.0], [0.18959906056966405, 0.0], [0.0, 0.0], [-1.6913541818001372, 0.0], [0.0, 0.0], [-1.0051414220648334, 0.0], [0.0, 0.0], [1.2060453783110545, 0.0], [0.0, 0.0]], 'angles': [None, -0.37272413383184566, -0.11175409096913366, -0.36161833585485065, -0.13954955791165263, -0.2908003070629002, -0.36399664063060283, -0.3434225896621472, None, -0.17316405498147755, -0.26083294782698224, -0.11607261894661262, -0.47566596235773373, -0.2993277552285206, -0.21200083848324203, -0.4336642815634933, -0.3233080259466206, -0.3315344561249273, -0.19132538926063175, -0.18785640957097569, -0.22971948137111892, -0.22767573276611044, -0.39980594954417087, -0.3196870261905941, -0.3338061753150405, -0.18484961856667756, -0.3932356041500974, -0.3564510369107196, -0.2678974807788451, -0.2481835478166571, -0.22457142676047093, -0.17101657113824179, -0.42670471940785315, -0.3449095146031611, -0.0810714847654369, -0.26027656994794146, -0.3417290669750996, -0.24955703456569628, -0.3738413408554515, -0.3022720406928773, -0.0825042560196771, -0.22685318232040402, -0.3199273699558601, -0.2585119148970736, -0.25097276594054646, -0.10857057359841389, -0.2526586595605642, -0.22677344651067813, -0.1909293040113253, -0.03197210056570163, -0.2613306155817033, -0.2279391645673433, -0.16731676582394447, -0.3308575391395211, -0.15028720296720816, -0.28203895259824896, -0.17175218746062246, -0.36425219387122615, -0.23165436266383346, -0.1305211098832448, -0.03724924575429257, -0.3036047977784208, -0.2857199989757557, -0.16075487244646566, -0.27114098277282583, -0.16742758019998769, -0.28650098817657726, -0.25, -0.2414520059761066, -0.17317478087932456, -0.3024993793204471, -0.3391914770911569, -0.20988023459319718, -0.30494235532937003, -0.2567746364405009, -0.33213077696137755, -0.33143260065973573, -0.1755411471483244, -0.32008178913795876, -0.35675838319697384, -0.19985506514708723, -0.32183516040492816, -0.23199856247972273, -0.26944134006396475, -0.39760380580603083, -0.2982073053705058, -0.13542390526197182, -0.12419597251029314, -0.2275790563161853, -0.23900528803440804, -0.07519723802753965, -0.11744843692102018, -0.2509811191093716, -0.40010281036093415, -0.3080215640843454, -0.1785956519968298, -0.3411650618223029, -0.18310602399941706, -0.29685654695939195, -0.18814589607110832], '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': -1.4142135623730951, 'hecke_orbit': 15, 'hecke_orbit_code': 63050394816742848, 'label': '1472.2.a.o.1.1', 'level': 1472, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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

  
  {'ALdims': [10, 13, 12, 9], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6], 'ALdims_old': [30, 38, 33, 36], 'Nk2': 5888, 'analytic_conductor': 11.753979177532473, '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': [1472, 1, [1151, 645, 833], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 181, 'dim': 44, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 7], 'hecke_orbit_code': 33555904, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 4], 'label': '1472.2.a', 'level': 1472, '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, 23], 'level_radical': 46, 'mf_dim': 204, 'mf_new_dim': 44, 'num_forms': 26, 'plus_dim': 19, 'prim_orbit_index': 1, 'relative_dim': 44, 'sturm_bound': 384, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [44, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 16, 0, 0, 0, -8, 0, 0, 0, 16, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 16, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, -8, 0, 0, 0, -40, 0, 0, 0, -24, 0, 0, 0, -32, 0, 0, 0, 64, 0, 0, 0, -8, 0, 0, 0, 40, 0, 0, 0, 12, 0, 0, 0, -48, 0, 0, 0, 16, 0, 0, 0, 32, 0, 0, 0, 8, 0, 0, 0, 72, 0, 0, 0, -64, 0, 0, 0, 48, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 4, 0, 0, 0, -72, 0, 0, 0, -16, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, -8, 0, 0, 0, -80, 0, 0, 0, 16, 0, 0, 0, -112, 0, 0, 0, -16, 0, 0, 0, -104, 0, 0, 0, -32, 0, 0, 0, 32, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 16, 0, 0, 0, 24, 0, 0, 0, 32, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 216, 0, 0, 0, -32, 0, 0, 0, -144, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 32, 0, 0, 0, -28, 0, 0, 0, -160, 0, 0, 0, -32, 0, 0, 0, 64, 0, 0, 0, 32, 0, 0, 0, 16, 0, 0, 0, -56, 0, 0, 0, 120, 0, 0, 0, -48, 0, 0, 0, 48, 0, 0, 0, -32, 0, 0, 0, -48, 0, 0, 0, -8, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 24, 0, 0, 0, -32, 0, 0, 0, 76, 0, 0, 0, -16, 0, 0, 0, -40, 0, 0, 0, -80, 0, 0, 0, 48, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, -40, 0, 0, 0, -96, 0, 0, 0, -56, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, -88, 0, 0, 0, -128, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, -128, 0, 0, 0, 8, 0, 0, 0, -120, 0, 0, 0, -88, 0, 0, 0, 64, 0, 0, 0, -160, 0, 0, 0, 128, 0, 0, 0, -112, 0, 0, 0, -240, 0, 0, 0, 32, 0, 0, 0, -160, 0, 0, 0, -32, 0, 0, 0, 96, 0, 0, 0, -32, 0, 0, 0, -96, 0, 0, 0, 96, 0, 0, 0, -208, 0, 0, 0, -64, 0, 0, 0, -144, 0, 0, 0, 136, 0, 0, 0, 336, 0, 0, 0, 44, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 32, 0, 0, 0, 96, 0, 0, 0, 64, 0, 0, 0, -96, 0, 0, 0, 64, 0, 0, 0, 96, 0, 0, 0, -56, 0, 0, 0, 128, 0, 0, 0, 88, 0, 0, 0, 224, 0, 0, 0, -192, 0, 0, 0, 144, 0, 0, 0, 136, 0, 0, 0, 32, 0, 0, 0, 40, 0, 0, 0, 144, 0, 0, 0, 32, 0, 0, 0, 96, 0, 0, 0, 136, 0, 0, 0, -24, 0, 0, 0, 140, 0, 0, 0, -224, 0, 0, 0, 144, 0, 0, 0, 240, 0, 0, 0, -104, 0, 0, 0, -32, 0, 0, 0, 48, 0, 0, 0, -112, 0, 0, 0, -40, 0, 0, 0, 192, 0, 0, 0, -32, 0, 0, 0, -96, 0, 0, 0, 120, 0, 0, 0, 80, 0, 0, 0, -48, 0, 0, 0, -128, 0, 0, 0, -128, 0, 0, 0, 64, 0, 0, 0, 80, 0, 0, 0, -112, 0, 0, 0, -96, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 96, 0, 0, 0, 160, 0, 0, 0, 44, 0, 0, 0, 32, 0, 0, 0, -112, 0, 0, 0, 240, 0, 0, 0, 160, 0, 0, 0, 96, 0, 0, 0, 80, 0, 0, 0, 208, 0, 0, 0, 72, 0, 0, 0, 320, 0, 0, 0, 56, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, 176, 0, 0, 0, 32, 0, 0, 0, -272, 0, 0, 0, 160, 0, 0, 0, 256, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 160, 0, 0, 0, 48, 0, 0, 0, -56, 0, 0, 0, -336, 0, 0, 0, 24, 0, 0, 0, 88, 0, 0, 0, -104, 0, 0, 0, 36, 0, 0, 0, 224, 0, 0, 0, 112, 0, 0, 0, 136, 0, 0, 0, 8, 0, 0, 0, -80, 0, 0, 0, -160, 0, 0, 0, 32, 0, 0, 0, 56, 0, 0, 0, 184, 0, 0, 0, -40, 0, 0, 0, 384, 0, 0, 0, 96, 0, 0, 0, -256, 0, 0, 0, 48, 0, 0, 0, 128, 0, 0, 0, -64, 0, 0, 0, -536, 0, 0, 0, 16, 0, 0, 0, -112, 0, 0, 0, 80, 0, 0, 0, 256, 0, 0, 0, 56, 0, 0, 0, -120, 0, 0, 0, 136, 0, 0, 0, -48, 0, 0, 0, -352, 0, 0, 0, -232, 0, 0, 0, 8, 0, 0, 0, -224, 0, 0, 0, 140, 0, 0, 0, 128, 0, 0, 0, -96, 0, 0, 0, -80, 0, 0, 0, 120, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -96, 0, 0, 0, 408, 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: 47771410
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394816742848, 'source_is_minimal': False, 'source_label': '1472.2.a.o.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 63050394816742848, 'target_is_minimal': False, 'target_label': '1472.2.a.o.1.1', 'target_level': 1472, 'twist_class_label': '736.2.a.a.1.1', 'twist_class_level': 736, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47771411
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394816742848, 'source_is_minimal': False, 'source_label': '1472.2.a.o.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 94575592208336320, 'target_is_minimal': False, 'target_label': '1472.2.a.v.1.2', 'target_level': 1472, 'twist_class_label': '736.2.a.a.1.1', 'twist_class_level': 736, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47771412
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394816742848, 'source_is_minimal': False, 'source_label': '1472.2.a.o.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33555168, 'target_is_minimal': True, 'target_label': '736.2.a.a.1.1', 'target_level': 736, 'twist_class_label': '736.2.a.a.1.1', 'twist_class_level': 736, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47771413
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394816742848, 'source_is_minimal': False, 'source_label': '1472.2.a.o.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510798915666656, 'target_is_minimal': True, 'target_label': '736.2.a.d.1.2', 'target_level': 736, 'twist_class_label': '736.2.a.a.1.1', 'twist_class_level': 736, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47771414
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394816742848, 'source_is_minimal': False, 'source_label': '1472.2.a.o.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 81064793326229984, 'target_is_minimal': False, 'target_label': '6624.2.a.s.1.2', 'target_level': 6624, 'twist_class_label': '736.2.a.a.1.1', 'twist_class_level': 736, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47771415
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394816742848, 'source_is_minimal': False, 'source_label': '1472.2.a.o.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 85568392953600480, 'target_is_minimal': False, 'target_label': '6624.2.a.t.1.2', 'target_level': 6624, 'twist_class_label': '736.2.a.a.1.1', 'twist_class_level': 736, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1975525
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 63050394816742848, 'p': 2}
  • id: 1975526
    {'charpoly_factorization': [[[-1, 2, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 3}
  • id: 1975527
    {'charpoly_factorization': [[[2, -4, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 5}
  • id: 1975528
    {'charpoly_factorization': [[[2, 4, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 7}
  • id: 1975529
    {'charpoly_factorization': [[[-18, 0, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 11}
  • id: 1975530
    {'charpoly_factorization': [[[-7, -2, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 13}
  • id: 1975531
    {'charpoly_factorization': [[[14, 8, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 17}
  • id: 1975532
    {'charpoly_factorization': [[[-4, 4, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 19}
  • id: 1975533
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 63050394816742848, 'p': 23}
  • id: 1975534
    {'charpoly_factorization': [[[-5, 1], 2]], 'hecke_orbit_code': 63050394816742848, 'p': 29}
  • id: 1975535
    {'charpoly_factorization': [[[7, 10, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 31}
  • id: 1975536
    {'charpoly_factorization': [[[-46, -4, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 37}
  • id: 1975537
    {'charpoly_factorization': [[[17, 14, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 41}
  • id: 1975538
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 63050394816742848, 'p': 43}
  • id: 1975539
    {'charpoly_factorization': [[[-17, 2, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 47}
  • id: 1975540
    {'charpoly_factorization': [[[-124, 4, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 53}
  • id: 1975541
    {'charpoly_factorization': [[[8, 8, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 59}
  • id: 1975542
    {'charpoly_factorization': [[[-28, 4, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 61}
  • id: 1975543
    {'charpoly_factorization': [[[-82, 8, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 67}
  • id: 1975544
    {'charpoly_factorization': [[[23, -10, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 71}
  • id: 1975545
    {'charpoly_factorization': [[[17, -10, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 73}
  • id: 1975546
    {'charpoly_factorization': [[[-36, 12, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 79}
  • id: 1975547
    {'charpoly_factorization': [[[-158, 4, 1], 1]], 'hecke_orbit_code': 63050394816742848, 'p': 83}
  • id: 1975548
    {'charpoly_factorization': [[[8, 1], 2]], 'hecke_orbit_code': 63050394816742848, 'p': 89}
  • id: 1975549
    {'charpoly_factorization': [[[-98, 0, 1], 1]], 'hecke_orbit_code': 63050394816742848, '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': 15, 'label': '1472.2.a.o', 'level': 1472, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 59385385
    {'hecke_orbit_code': 63050394816742848, 'n': 1, 'trace_an': 2}
  • id: 59385386
    {'hecke_orbit_code': 63050394816742848, 'n': 2, 'trace_an': 0}
  • id: 59385387
    {'hecke_orbit_code': 63050394816742848, 'n': 3, 'trace_an': -2}
  • id: 59385388
    {'hecke_orbit_code': 63050394816742848, 'n': 4, 'trace_an': 0}
  • id: 59385389
    {'hecke_orbit_code': 63050394816742848, 'n': 5, 'trace_an': 4}
  • id: 59385390
    {'hecke_orbit_code': 63050394816742848, 'n': 6, 'trace_an': 0}
  • id: 59385391
    {'hecke_orbit_code': 63050394816742848, 'n': 7, 'trace_an': -4}
  • id: 59385392
    {'hecke_orbit_code': 63050394816742848, 'n': 8, 'trace_an': 0}
  • id: 59385393
    {'hecke_orbit_code': 63050394816742848, 'n': 9, 'trace_an': 0}
  • id: 59385394
    {'hecke_orbit_code': 63050394816742848, 'n': 10, 'trace_an': 0}
  • id: 59385395
    {'hecke_orbit_code': 63050394816742848, 'n': 11, 'trace_an': 0}
  • id: 59385396
    {'hecke_orbit_code': 63050394816742848, 'n': 12, 'trace_an': 0}
  • id: 59385397
    {'hecke_orbit_code': 63050394816742848, 'n': 13, 'trace_an': 2}
  • id: 59385398
    {'hecke_orbit_code': 63050394816742848, 'n': 14, 'trace_an': 0}
  • id: 59385399
    {'hecke_orbit_code': 63050394816742848, 'n': 15, 'trace_an': -8}
  • id: 59385400
    {'hecke_orbit_code': 63050394816742848, 'n': 16, 'trace_an': 0}
  • id: 59385401
    {'hecke_orbit_code': 63050394816742848, 'n': 17, 'trace_an': -8}
  • id: 59385402
    {'hecke_orbit_code': 63050394816742848, 'n': 18, 'trace_an': 0}
  • id: 59385403
    {'hecke_orbit_code': 63050394816742848, 'n': 19, 'trace_an': -4}
  • id: 59385404
    {'hecke_orbit_code': 63050394816742848, 'n': 20, 'trace_an': 0}
  • id: 59385405
    {'hecke_orbit_code': 63050394816742848, 'n': 21, 'trace_an': 8}
  • id: 59385406
    {'hecke_orbit_code': 63050394816742848, 'n': 22, 'trace_an': 0}
  • id: 59385407
    {'hecke_orbit_code': 63050394816742848, 'n': 23, 'trace_an': -2}
  • id: 59385408
    {'hecke_orbit_code': 63050394816742848, 'n': 24, 'trace_an': 0}
  • id: 59385409
    {'hecke_orbit_code': 63050394816742848, 'n': 25, 'trace_an': 2}
  • id: 59385410
    {'hecke_orbit_code': 63050394816742848, 'n': 26, 'trace_an': 0}
  • id: 59385411
    {'hecke_orbit_code': 63050394816742848, 'n': 27, 'trace_an': -2}
  • id: 59385412
    {'hecke_orbit_code': 63050394816742848, 'n': 28, 'trace_an': 0}
  • id: 59385413
    {'hecke_orbit_code': 63050394816742848, 'n': 29, 'trace_an': 10}
  • id: 59385414
    {'hecke_orbit_code': 63050394816742848, 'n': 30, 'trace_an': 0}
  • id: 59385415
    {'hecke_orbit_code': 63050394816742848, 'n': 31, 'trace_an': -10}
  • id: 59385416
    {'hecke_orbit_code': 63050394816742848, 'n': 32, 'trace_an': 0}
  • id: 59385417
    {'hecke_orbit_code': 63050394816742848, 'n': 33, 'trace_an': -12}
  • id: 59385418
    {'hecke_orbit_code': 63050394816742848, 'n': 34, 'trace_an': 0}
  • id: 59385419
    {'hecke_orbit_code': 63050394816742848, 'n': 35, 'trace_an': -12}
  • id: 59385420
    {'hecke_orbit_code': 63050394816742848, 'n': 36, 'trace_an': 0}
  • id: 59385421
    {'hecke_orbit_code': 63050394816742848, 'n': 37, 'trace_an': 4}
  • id: 59385422
    {'hecke_orbit_code': 63050394816742848, 'n': 38, 'trace_an': 0}
  • id: 59385423
    {'hecke_orbit_code': 63050394816742848, 'n': 39, 'trace_an': 6}
  • id: 59385424
    {'hecke_orbit_code': 63050394816742848, 'n': 40, 'trace_an': 0}
  • id: 59385425
    {'hecke_orbit_code': 63050394816742848, 'n': 41, 'trace_an': -14}
  • id: 59385426
    {'hecke_orbit_code': 63050394816742848, 'n': 42, 'trace_an': 0}
  • id: 59385427
    {'hecke_orbit_code': 63050394816742848, 'n': 43, 'trace_an': -8}
  • id: 59385428
    {'hecke_orbit_code': 63050394816742848, 'n': 44, 'trace_an': 0}
  • id: 59385429
    {'hecke_orbit_code': 63050394816742848, 'n': 45, 'trace_an': 8}
  • id: 59385430
    {'hecke_orbit_code': 63050394816742848, 'n': 46, 'trace_an': 0}
  • id: 59385431
    {'hecke_orbit_code': 63050394816742848, 'n': 47, 'trace_an': -2}
  • id: 59385432
    {'hecke_orbit_code': 63050394816742848, 'n': 48, 'trace_an': 0}
  • id: 59385433
    {'hecke_orbit_code': 63050394816742848, 'n': 49, 'trace_an': -2}
  • id: 59385434
    {'hecke_orbit_code': 63050394816742848, 'n': 50, 'trace_an': 0}
  • id: 59385435
    {'hecke_orbit_code': 63050394816742848, 'n': 51, 'trace_an': 12}
  • id: 59385436
    {'hecke_orbit_code': 63050394816742848, 'n': 52, 'trace_an': 0}
  • id: 59385437
    {'hecke_orbit_code': 63050394816742848, 'n': 53, 'trace_an': -4}
  • id: 59385438
    {'hecke_orbit_code': 63050394816742848, 'n': 54, 'trace_an': 0}
  • id: 59385439
    {'hecke_orbit_code': 63050394816742848, 'n': 55, 'trace_an': 12}
  • id: 59385440
    {'hecke_orbit_code': 63050394816742848, 'n': 56, 'trace_an': 0}
  • id: 59385441
    {'hecke_orbit_code': 63050394816742848, 'n': 57, 'trace_an': 12}
  • id: 59385442
    {'hecke_orbit_code': 63050394816742848, 'n': 58, 'trace_an': 0}
  • id: 59385443
    {'hecke_orbit_code': 63050394816742848, 'n': 59, 'trace_an': -8}
  • id: 59385444
    {'hecke_orbit_code': 63050394816742848, 'n': 60, 'trace_an': 0}
  • id: 59385445
    {'hecke_orbit_code': 63050394816742848, 'n': 61, 'trace_an': -4}
  • id: 59385446
    {'hecke_orbit_code': 63050394816742848, 'n': 62, 'trace_an': 0}
  • id: 59385447
    {'hecke_orbit_code': 63050394816742848, 'n': 63, 'trace_an': -8}
  • id: 59385448
    {'hecke_orbit_code': 63050394816742848, 'n': 64, 'trace_an': 0}
  • id: 59385449
    {'hecke_orbit_code': 63050394816742848, 'n': 65, 'trace_an': -4}
  • id: 59385450
    {'hecke_orbit_code': 63050394816742848, 'n': 66, 'trace_an': 0}
  • id: 59385451
    {'hecke_orbit_code': 63050394816742848, 'n': 67, 'trace_an': -8}
  • id: 59385452
    {'hecke_orbit_code': 63050394816742848, 'n': 68, 'trace_an': 0}
  • id: 59385453
    {'hecke_orbit_code': 63050394816742848, 'n': 69, 'trace_an': 2}
  • id: 59385454
    {'hecke_orbit_code': 63050394816742848, 'n': 70, 'trace_an': 0}
  • id: 59385455
    {'hecke_orbit_code': 63050394816742848, 'n': 71, 'trace_an': 10}
  • id: 59385456
    {'hecke_orbit_code': 63050394816742848, 'n': 72, 'trace_an': 0}
  • id: 59385457
    {'hecke_orbit_code': 63050394816742848, 'n': 73, 'trace_an': 10}
  • id: 59385458
    {'hecke_orbit_code': 63050394816742848, 'n': 74, 'trace_an': 0}
  • id: 59385459
    {'hecke_orbit_code': 63050394816742848, 'n': 75, 'trace_an': -18}
  • id: 59385460
    {'hecke_orbit_code': 63050394816742848, 'n': 76, 'trace_an': 0}
  • id: 59385461
    {'hecke_orbit_code': 63050394816742848, 'n': 77, 'trace_an': -12}
  • id: 59385462
    {'hecke_orbit_code': 63050394816742848, 'n': 78, 'trace_an': 0}
  • id: 59385463
    {'hecke_orbit_code': 63050394816742848, 'n': 79, 'trace_an': -12}
  • id: 59385464
    {'hecke_orbit_code': 63050394816742848, 'n': 80, 'trace_an': 0}
  • id: 59385465
    {'hecke_orbit_code': 63050394816742848, 'n': 81, 'trace_an': -2}
  • id: 59385466
    {'hecke_orbit_code': 63050394816742848, 'n': 82, 'trace_an': 0}
  • id: 59385467
    {'hecke_orbit_code': 63050394816742848, 'n': 83, 'trace_an': -4}
  • id: 59385468
    {'hecke_orbit_code': 63050394816742848, 'n': 84, 'trace_an': 0}
  • id: 59385469
    {'hecke_orbit_code': 63050394816742848, 'n': 85, 'trace_an': -20}
  • id: 59385470
    {'hecke_orbit_code': 63050394816742848, 'n': 86, 'trace_an': 0}
  • id: 59385471
    {'hecke_orbit_code': 63050394816742848, 'n': 87, 'trace_an': -10}
  • id: 59385472
    {'hecke_orbit_code': 63050394816742848, 'n': 88, 'trace_an': 0}
  • id: 59385473
    {'hecke_orbit_code': 63050394816742848, 'n': 89, 'trace_an': -16}
  • id: 59385474
    {'hecke_orbit_code': 63050394816742848, 'n': 90, 'trace_an': 0}
  • id: 59385475
    {'hecke_orbit_code': 63050394816742848, 'n': 91, 'trace_an': 4}
  • id: 59385476
    {'hecke_orbit_code': 63050394816742848, 'n': 92, 'trace_an': 0}
  • id: 59385477
    {'hecke_orbit_code': 63050394816742848, 'n': 93, 'trace_an': -2}
  • id: 59385478
    {'hecke_orbit_code': 63050394816742848, 'n': 94, 'trace_an': 0}
  • id: 59385479
    {'hecke_orbit_code': 63050394816742848, 'n': 95, 'trace_an': -16}
  • id: 59385480
    {'hecke_orbit_code': 63050394816742848, 'n': 96, 'trace_an': 0}
  • id: 59385481
    {'hecke_orbit_code': 63050394816742848, 'n': 97, 'trace_an': 0}
  • id: 59385482
    {'hecke_orbit_code': 63050394816742848, 'n': 98, 'trace_an': 0}
  • id: 59385483
    {'hecke_orbit_code': 63050394816742848, 'n': 99, 'trace_an': 24}
  • id: 59385484
    {'hecke_orbit_code': 63050394816742848, 'n': 100, 'trace_an': 0}