Embedded newform data - 8325.2.a.bo.1.2

Formats: - HTML - YAML - JSON - 2026-09-15T18:26:33.255253

• 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': 33300, 'analytic_conductor': 66.47545968271592, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, -1], [37, 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': [8325, 1, [3701, 7327, 5626], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 257, 'field_disc_factorization': [[257, 1]], 'field_poly': [3, -4, -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': [[2, [-3, -5, 0, 1]], [7, [1, 7, 6, 1]], [11, [-45, -24, 1, 1]], [13, [-5, -7, 2, 1]]], 'hecke_orbit': 41, 'hecke_orbit_code': 180143985128382597, 'hecke_ring_generator_nbound': 2, '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': '8325.2.a.bo', 'level': 8325, '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, 37], 'level_radical': 555, 'minimal_twist': '2775.2.a.u', 'nf_label': '3.3.257.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{2}q^{2}+(1+\\beta _{1}-\\beta _{2})q^{4}+(-2+\\beta _{2})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '8325.2.a', 'trace_display': [0, 0, 0, -6], 'trace_hash': 1004887992071672570, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '2.933', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '22.659', 'prec': 17}, 0, {'__RealLiteral__': 0, 'data': '265.341', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.005', 'prec': 4}, 'traces': [3, 0, 0, 4, 0, 0, -6, 9, 0, 0, -1, 0, -2, -10, 0, 2, 7, 0, -10, 0, 0, -12, 8, 0, 0, 9, 0, -17, -9, 0, 7, 3, 0, -11, 0, 0, -3, 11, 0, 0, 14, 0, -3, 5, 0, 11, 7, 0, 1, 0, 0, 14, -11, 0, 0, -28, 0, -20, 9, 0, -14, -18, 0, -7, 0, 0, 3, 8, 0, 0, -21, 0, -23, 0, 0, -12, 14, 0, -18, 0, 0, 34, -11, 0, 0, 7, 0, -15, -13, 0, -5, 12, 0, -28, 0, 0, -14, 49, 0, 0, -4, 0, 14, 3, 0, -8, 9, 0, -28, 0, 0, -25, 7, 0, 0, -30, 0, -17, -3, 0, 16, -21, 0, -24, 0, 0, -23, -15, 0, 0, -27, 0, 9, -50, 0, 10, 25, 0, -26, 0, 0, -27, 7, 0, 0, -15, 0, -4, 28, 0, -1, -19, 0, 21, 0, 0, -18, 30, 0, 0, -27, 0, 9, 15, 0, 5, 17, 0, -21, 0, 0, 28, 37, 0, 0, -43, 0, 51, -17, 0, 15, -28, 0, 35, 0, 0, 28, -33, 0, 0, 1, 0, 3, -18, 0, 54, 15, 0, 43, 0, 0, 35, 38, 0, 0, -39, 0, 9, -27, 0, -22, -39, 0, -20, 0, 0, 4, 4, 0, 0, -6, 0, -4, -3, 0, 15, -18, 0, 15, 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0, -98, 5, 0, -63, -48, 0, -54, 0, 0, 43, -57, 0, 0, -32, 0, -62, -24, 0, 107, -60, 0, 78, 0, 0, 26, -93, 0, 0, -117, 0, 164, -84, 0, -26, 192, 0, -23, 0, 0, 84, 12, 0, 0, -6, 0, 25, -29, 0, 23, 21, 0, -117, 0, 0, 117, -62, 0, 0, -91, 0, 46, 71, 0, 37, 129, 0, 223, 0, 0, 77, -246, 0, 0, -165, 0, -69, -66, 0, -141, 44, 0, -50, 0, 0, 27, -43, 0, 0, 11, 0, -150, -50, 0, 40, -21, 0, -50, 0, 0, -139, 3, 0, 0, 115, 0, 41, 50, 0, 132, -39, 0, -20, 0, 0, -167, 47, 0, 0, 98, 0, -42, -112, 0, 23, -68, 0, 18, 0, 0, 140, -21, 0, 0, 27, 0, 28, -66, 0, 200, 3, 0, 181, 0, 0, 175, -103, 0, 0, 122, 0, -27, -59, 0, -37, -180, 0, 89, 0, 0, -8, 0, 0, 0, -21, 0, 36, -111, 0, -123, -156, 0, 81, 0, 0, -25, -19, 0, 0, -51, 0, -38, -105, 0, 117, 81, 0, -181, 0, 0, 84, -50, 0, 0, -74, 0, 120, -122, 0, 35, -118, 0, 6, 0, 0, 7, -22, 0, 0, -241, 0, -72, 111, 0, -46, -159, 0, 3, 0, 0, 79, -218, 0, 0, -3, 0, -14, -114, 0, -93, -98, 0, -78, 0, 0, 12, 78, 0, 0, 212, 0, -78, -116, 0, 73, 137, 0, -95, 0, 0, 3, -231, 0, 0, -128, 0, -12, -80, 0, 16, -120, 0, 77, 0, 0, -259, 90, 0, 0, 168, 0, -54, -14, 0, -44, -126, 0, -8, 0, 0, -41, 34, 0, 0, 89, 0, -116, -86, 0, 82, 9, 0, 100, 0, 0, -36, -78, 0, 0, 107, 0, -41, -135, 0, -38, 252, 0, 125, 0, 0, -90, -98, 0, 0, -106, 0, -159, -149, 0, -53, -11, 0, 3, 0, 0, 101, 151, 0, 0, 66, 0, 228, 153, 0, -87, -48, 0, -14, 0, 0, 122, 222, 0, 0, -45, 0, 18, 35, 0, -33, 12, 0, -58, 0, 0, 67, 146, 0, 0, 201, 0, 36, -39, 0, 154, -222, 0, -26, 0, 0, 3, 200, 0, 0, 49, 0, 40, 214, 0, 197, 139, 0, -12, 0, 0, 81, -97, 0, 0, -80, 0, 167, 21, 0, -67, -31, 0, 151, 0, 0, -33, 171, 0, 0, 70, 0, 68, 35, 0, 62, 36, 0, -99, 0, 0, -161, 13, 0, 0, 45, 0, 7, -187, 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], [-0.4643007594590456, 0.0], [0.0, 0.0], [-0.7844248047657535, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5077497508306418, 0.0], [0.8285097920502985, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.2566504170268442, 0.0], [0.0, 0.0], [-0.9898207893527297, 0.0], [0.23574859492580813, 0.0], [0.0, 0.0], [0.399747079097544, 0.0], [0.18054139771187658, 0.0], [0.0, 0.0], [-0.40019079936406343, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5834637430000901, 0.0], [0.8873557644280476, 0.0], [0.0, 0.0], [0.0, 0.0], [0.45957454422482436, 0.0], [0.0, 0.0], [0.39829149916518614, 0.0], [-0.31322330853664615, 0.0], [0.0, 0.0], [1.4615739260428628, 0.0], [-1.0141126644668232, 0.0], [0.0, 0.0], [-0.08382550807142189, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.1643989873053573, 0.0], [0.18580889207325718, 0.0], [0.0, 0.0], [0.0, 0.0], [1.8239620203712683, 0.0], [0.0, 0.0], [-1.279967465252557, 0.0], [0.985747758035085, 0.0], [0.0, 0.0], [-0.41199995533430445, 0.0], [1.2827833609930803, 0.0], [0.0, 0.0], [-0.7421901905314212, 0.0], [0.0, 0.0], [0.0, 0.0], [0.776439979441099, 0.0], [0.20344181757430535, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4206756404742859, 0.0], [0.0, 0.0], [0.14542982003383975, 0.0], [1.4385781444927777, 0.0], [0.0, 0.0], [-0.7168769948113364, 0.0], [-0.6786098838672402, 0.0], [0.0, 0.0], [0.07110620119143837, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5232642104264207, 0.0], [-0.14162115065227504, 0.0], [0.0, 0.0], [0.0, 0.0], [0.20253008485881835, 0.0], [0.0, 0.0], [0.5705038176262002, 0.0], [0.07633057466017538, 0.0], [0.0, 0.0], [0.3139195896602063, 0.0], [0.6380639361266022, 0.0], [0.0, 0.0], [-0.8966794512971946, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8468669512828351, 0.0], [0.8299435835557858, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5942898661996318, 0.0], [0.0, 0.0], [-1.0411471756908315, 0.0], [-0.5693113969139673, 0.0], [0.0, 0.0], [0.5025812591608376, 0.0], [-0.6960638722692372, 0.0], [0.0, 0.0], [-0.5955972887305142, 0.0], [0.0, 0.0], [0.0, 0.0], [0.11551585391511444, 0.0], [0.3445994691267926, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [-0.28728807422658387, None, None, -0.2908525735228064, -0.3581296312831115, -0.3323995606532594, -0.23561338782344973, -0.28206260500078495, -0.17683671934022036, -0.2750285524706123, -0.11957664286429916, None, -0.06727621053654956, -0.3605294624811416, -0.1391786887304928, -0.23378256476580234, -0.12223384422484185, -0.30834536036737054, -0.20786964568199257, -0.23385549474242312, -0.20396136952490032, -0.3239922563062321, -0.18189572197196127, -0.2959396364806956, -0.24080242176013678, -0.38633037869620984, -0.17213803285163357, -0.21657282957946505, -0.25267613184874815, -0.14619083609894423, -0.4226956990026146, -0.19980890613000202, -0.20812937383417465, -0.3780745543234106, -0.30559503065417165, -0.071730810990231, -0.44198007196258426, -0.2135497715213751, -0.28866760621233944, -0.27054043183239396, -0.3973762476799178, -0.20829810298186646, -0.22972755221500227, -0.25179431667079594, -0.2561251252534324, -0.26524776269752104, -0.44670765508584365, -0.19313258714539486, -0.3573396268716655, -0.18661910258829448, -0.3041497794620012, -0.23958220203613798, -0.09199513044680309, -0.2896722244696974, -0.18307893609949635, -0.15214491470456692, -0.316514201586591, -0.3647652748713824, -0.11679633642412347, -0.26626751797586157, -0.17856680927366347, -0.06734507547896879, -0.2695487976778347, -0.3194243885447154, -0.22270832242076674, -0.21252100864988327, -0.3386107485903685, -0.27022875657373613, -0.19254054777771695, -0.19728729384405225, -0.43034105621535346, -0.3787117753908606, -0.10252320026065083, -0.36344601200817495, -0.3699993225494294, -0.1750365196652213, -0.275571478713881, -0.10866567985807922, -0.1793941398388788, -0.24898380145696394, -0.28012256710069094, -0.22384204638781396, -0.28837559946692415, -0.20858983946814766, -0.27546569824389894, -0.30388720984043954, -0.33444686196902396, -0.3384811317218418, -0.17589470828815934, -0.2720083328878726, -0.25746879536083667, -0.45892812823066415, -0.27335535903290475, -0.31269457847144183, -0.13278144215888973, -0.3141391890482083, -0.2392767824041249, -0.13620476058998923, -0.3225408159094995, -0.38414744094315895], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.9122291784843966, 'hecke_orbit': 41, 'hecke_orbit_code': 180143985128382597, 'label': '8325.2.a.bo.1.2', 'level': 8325, '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': [24, 30, 32, 28, 42, 39, 44, 46], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [112, 111, 111, 109, 102, 99, 92, 96], 'Nk2': 33300, 'analytic_conductor': 66.47545968271592, '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': [8325, 1, [3701, 7327, 5626], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1117, 'dim': 285, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11, 13], 'hecke_orbit_code': 33562757, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 8, 8, 9, 9, 10, 10, 13, 13, 16, 16], 'label': '8325.2.a', 'level': 8325, '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, 37], 'level_radical': 555, 'mf_dim': 1164, 'mf_new_dim': 285, 'num_forms': 76, 'plus_dim': 135, 'prim_orbit_index': 1, 'relative_dim': 285, 'sturm_bound': 2280, 'trace_bound': 13, 'trace_display': [-1, 0, 0, 2], 'traces': [285, -1, 0, 289, 0, 0, 2, -15, 0, 0, 2, 0, 8, -2, 0, 297, 0, 0, 14, 0, 0, 2, -4, 0, 0, -18, 0, 4, 22, 0, 12, -11, 0, -10, 0, 0, 1, 4, 0, 0, -4, 0, 18, -20, 0, -28, 14, 0, 291, 0, 0, 10, 12, 0, 0, -28, 0, -10, -44, 0, -2, -32, 0, 301, 0, 0, 16, 46, 0, 0, 2, 0, 48, 5, 0, 4, -46, 0, -18, 0, 0, 4, 6, 0, 0, 8, 0, -36, 32, 0, -34, -72, 0, -94, 0, 0, 54, -7, 0, 0, -4, 0, -6, -22, 0, -64, -28, 0, -12, 0, 0, -32, -18, 0, 0, 22, 0, -8, 34, 0, 343, -22, 0, -56, 0, 0, -18, 5, 0, 0, -6, 0, 22, -64, 0, -114, 14, 0, 32, 0, 0, 18, -2, 0, 0, -152, 0, 3, 16, 0, -88, -48, 0, -18, 0, 0, 48, -28, 0, 0, 12, 0, -2, -98, 0, -86, 6, 0, 355, 0, 0, 48, 12, 0, 0, -60, 0, 14, -12, 0, 48, -76, 0, -12, 0, 0, -18, 184, 0, 0, 68, 0, 40, 170, 0, 533, 100, 0, -140, 0, 0, 52, -12, 0, 0, -40, 0, 158, 2, 0, 50, -54, 0, 40, 0, 0, 52, 74, 0, 0, 0, 0, -6, 56, 0, -18, 40, 0, 72, 0, 0, -22, 118, 0, 0, -112, 0, 32, -68, 0, -2, -23, 0, -130, 0, 0, -24, -36, 0, 0, 38, 0, -16, -22, 0, 161, -50, 0, -8, 0, 0, 52, -26, 0, 0, 152, 0, -112, -118, 0, -34, 74, 0, -110, 0, 0, 30, 96, 0, 0, 10, 0, -68, 280, 0, -176, -26, 0, 403, 0, 0, 102, -38, 0, 0, 15, 0, -68, 72, 0, -74, 88, 0, 48, 0, 0, 82, -184, 0, 0, 74, 0, 88, 136, 0, -172, 54, 0, -172, 0, 0, 40, -68, 0, 0, 144, 0, 6, 138, 0, -200, 296, 0, -100, 0, 0, -60, -15, 0, 0, 156, 0, -110, 36, 0, 28, -40, 0, -158, 0, 0, 44, -4, 0, 0, 322, 0, -108, -86, 0, 357, -172, 0, 236, 0, 0, -52, -72, 0, 0, -42, 0, -88, 244, 0, -296, 136, 0, -174, 0, 0, -168, -8, 0, 0, -46, 0, 86, -110, 0, -204, 181, 0, 88, 0, 0, -64, 48, 0, 0, -96, 0, 36, 206, 0, -20, -20, 0, 46, 0, 0, 108, -36, 0, 0, -218, 0, 56, -262, 0, 80, 38, 0, -66, 0, 0, -16, -56, 0, 0, -150, 0, 116, 136, 0, -334, 56, 0, -260, 0, 0, 180, -134, 0, 0, 214, 0, -20, -48, 0, 14, -50, 0, 232, 0, 0, -100, 232, 0, 0, -36, 0, 48, 14, 0, 210, -12, 0, 12, 0, 0, -12, -18, 0, 0, 132, 0, 20, 148, 0, -4, 194, 0, 393, 0, 0, -90, -30, 0, 0, 0, 0, 104, 20, 0, 160, -98, 0, 104, 0, 0, -168, -134, 0, 0, 0, 0, 140, -148, 0, 42, -75, 0, 238, 0, 0, -102, 6, 0, 0, -84, 0, -22, -12, 0, 42, -100, 0, 157, 0, 0, 256, 74, 0, 0, 0, 0, -238, -44, 0, -46, 2, 0, -494, 0, 0, -8, -58, 0, 0, -224, 0, 94, -158, 0, -184, 102, 0, -84, 0, 0, -174, -34, 0, 0, 100, 0, -96, 130, 0, -150, 180, 0, -62, 0, 0, -80, -199, 0, 0, 18, 0, -90, 218, 0, -218, -82, 0, 96, 0, 0, -9, -92, 0, 0, 86, 0, -56, -210, 0, -146, 128, 0, 64, 0, 0, -70, 68, 0, 0, -106, 0, 184, 170, 0, -32, -56, 0, 222, 0, 0, -24, 106, 0, 0, 190, 0, 190, 24, 0, -42, -200, 0, -342, 0, 0, 62, 268, 0, 0, 4, 0, -72, 112, 0, 192, -182, 0, 80, 0, 0, 96, -34, 0, 0, 322, 0, -186, 54, 0, -88, -220, 0, -192, 0, 0, -96, -304, 0, 0, 380, 0, 20, 36, 0, 511, -132, 0, 100, 0, 0, 80, -178, 0, 0, 94, 0, 84, 122, 0, 56, 38, 0, -216, 0, 0, 34, 242, 0, 0, 178, 0, 6, -188, 0, -2, -34, 0, 0, 0, 0, -10, -4, 0, 0, 96, 0, -94, -46, 0, -418, 135, 0, 98, 0, 0, -174, 112, 0, 0, 60, 0, -20, 256, 0, -364, -84, 0, 206, 0, 0, -154, 102, 0, 0, -336, 0, -4, -132, 0, 214, 596, 0, -96, 0, 0, -154, 50, 0, 0, -56, 0, 2, 120, 0, -144, 36, 0, -174, 0, 0, 170, 268, 0, 0, 606, 0, 198, 190, 0, 126, -164, 0, 317, 0, 0, 38, 182, 0, 0, -152, 0, -68, -272, 0, -416, -78, 0, 330, 0, 0, -14, -50, 0, 0, -16, 0, 230, 122, 0, 278, -228, 0, -26, 0, 0, 76, 94, 0, 0, -248, 0, -116, -136, 0, -172, 188, 0, 146, 0, 0, 310, 6, 0, 0, 460, 0, 98, 216, 0, 239, 26, 0, -196, 0, 0, 100, -126, 0, 0, 12, 0, 138, -120, 0, -12, 132, 0, -126, 0, 0, 64, -140, 0, 0, -216, 0, -148, -74, 0, 124, 274, 0, 912, 0, 0, 46, -176, 0, 0, -254, 0, 40, 296, 0, -326, 246, 0, -346, 0, 0, 220, -166, 0, 0, 332, 0, 106, -168, 0, 110, -402, 0, -122, 0, 0, -88, 284, 0, 0, 6, 0, 114, -358, 0, 702, -94, 0, 58, 0, 0, 46, -182, 0, 0, -280, 0, -246, -206, 0, 308, 374, 0, -184, 0, 0, -84, 76, 0, 0, -142, 0, 24, -128, 0, -112, 182, 0, 22, 0, 0, 344, 184, 0, 0, -424, 0, -252, 304, 0, -7, -38, 0, -274, 0, 0, -116, -83, 0, 0, -36, 0, -184, -432, 0, 134, 38, 0, 10, 0, 0, -108, -222, 0, 0, 328, 0, -200, 88, 0, -190, -56, 0, -278, 0, 0, -142, -360, 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: 48942155
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 180143985128382597, 'source_is_minimal': False, 'source_label': '8325.2.a.bo.1.2', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 180143985128382597, 'target_is_minimal': False, 'target_label': '8325.2.a.bo.1.2', 'target_level': 8325, 'twist_class_label': '2775.2.a.u.1.2', 'twist_class_level': 2775, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48942156
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 180143985128382597, 'source_is_minimal': False, 'source_label': '8325.2.a.bo.1.2', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 94575592208337623, 'target_is_minimal': True, 'target_label': '2775.2.a.v.1.2', 'target_level': 2775, 'twist_class_label': '2775.2.a.u.1.2', 'twist_class_level': 2775, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48942157
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 180143985128382597, 'source_is_minimal': False, 'source_label': '8325.2.a.bo.1.2', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 184647584755753093, 'target_is_minimal': False, 'target_label': '8325.2.a.bp.1.2', 'target_level': 8325, 'twist_class_label': '2775.2.a.u.1.2', 'twist_class_level': 2775, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48942158
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 180143985128382597, 'source_is_minimal': False, 'source_label': '8325.2.a.bo.1.2', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 90071992580967127, 'target_is_minimal': True, 'target_label': '2775.2.a.u.1.2', 'target_level': 2775, 'twist_class_label': '2775.2.a.u.1.2', 'twist_class_level': 2775, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4719550
    {'charpoly_factorization': [[[-3, -5, 0, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 2}
  • id: 4719551
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 180143985128382597, 'p': 3}
  • id: 4719552
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 180143985128382597, 'p': 5}
  • id: 4719553
    {'charpoly_factorization': [[[1, 7, 6, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 7}
  • id: 4719554
    {'charpoly_factorization': [[[-45, -24, 1, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 11}
  • id: 4719555
    {'charpoly_factorization': [[[-5, -7, 2, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 13}
  • id: 4719556
    {'charpoly_factorization': [[[-1, 6, -7, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 17}
  • id: 4719557
    {'charpoly_factorization': [[[15, 23, 10, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 19}
  • id: 4719558
    {'charpoly_factorization': [[[21, 11, -8, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 23}
  • id: 4719559
    {'charpoly_factorization': [[[-9, 7, 9, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 29}
  • id: 4719560
    {'charpoly_factorization': [[[63, -17, -7, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 31}
  • id: 4719561
    {'charpoly_factorization': [[[1, 1], 3]], 'hecke_orbit_code': 180143985128382597, 'p': 37}
  • id: 4719562
    {'charpoly_factorization': [[[1029, -61, -14, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 41}
  • id: 4719563
    {'charpoly_factorization': [[[61, -38, 3, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 43}
  • id: 4719564
    {'charpoly_factorization': [[[213, -40, -7, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 47}
  • id: 4719565
    {'charpoly_factorization': [[[-57, 20, 11, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 53}
  • id: 4719566
    {'charpoly_factorization': [[[37, -26, -9, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 59}
  • id: 4719567
    {'charpoly_factorization': [[[-45, 39, 14, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 61}
  • id: 4719568
    {'charpoly_factorization': [[[499, -122, -3, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 67}
  • id: 4719569
    {'charpoly_factorization': [[[-189, 72, 21, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 71}
  • id: 4719570
    {'charpoly_factorization': [[[-945, 58, 23, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 73}
  • id: 4719571
    {'charpoly_factorization': [[[-135, 63, 18, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 79}
  • id: 4719572
    {'charpoly_factorization': [[[-547, -68, 11, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 83}
  • id: 4719573
    {'charpoly_factorization': [[[-639, -78, 13, 1], 1]], 'hecke_orbit_code': 180143985128382597, 'p': 89}
  • id: 4719574
    {'charpoly_factorization': [[[-56, 32, 14, 1], 1]], 'hecke_orbit_code': 180143985128382597, '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': 41, 'label': '8325.2.a.bo', 'level': 8325, '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: 70624381
    {'hecke_orbit_code': 180143985128382597, 'n': 1, 'trace_an': 3}
  • id: 70624382
    {'hecke_orbit_code': 180143985128382597, 'n': 2, 'trace_an': 0}
  • id: 70624383
    {'hecke_orbit_code': 180143985128382597, 'n': 3, 'trace_an': 0}
  • id: 70624384
    {'hecke_orbit_code': 180143985128382597, 'n': 4, 'trace_an': 4}
  • id: 70624385
    {'hecke_orbit_code': 180143985128382597, 'n': 5, 'trace_an': 0}
  • id: 70624386
    {'hecke_orbit_code': 180143985128382597, 'n': 6, 'trace_an': 0}
  • id: 70624387
    {'hecke_orbit_code': 180143985128382597, 'n': 7, 'trace_an': -6}
  • id: 70624388
    {'hecke_orbit_code': 180143985128382597, 'n': 8, 'trace_an': 9}
  • id: 70624389
    {'hecke_orbit_code': 180143985128382597, 'n': 9, 'trace_an': 0}
  • id: 70624390
    {'hecke_orbit_code': 180143985128382597, 'n': 10, 'trace_an': 0}
  • id: 70624391
    {'hecke_orbit_code': 180143985128382597, 'n': 11, 'trace_an': -1}
  • id: 70624392
    {'hecke_orbit_code': 180143985128382597, 'n': 12, 'trace_an': 0}
  • id: 70624393
    {'hecke_orbit_code': 180143985128382597, 'n': 13, 'trace_an': -2}
  • id: 70624394
    {'hecke_orbit_code': 180143985128382597, 'n': 14, 'trace_an': -10}
  • id: 70624395
    {'hecke_orbit_code': 180143985128382597, 'n': 15, 'trace_an': 0}
  • id: 70624396
    {'hecke_orbit_code': 180143985128382597, 'n': 16, 'trace_an': 2}
  • id: 70624397
    {'hecke_orbit_code': 180143985128382597, 'n': 17, 'trace_an': 7}
  • id: 70624398
    {'hecke_orbit_code': 180143985128382597, 'n': 18, 'trace_an': 0}
  • id: 70624399
    {'hecke_orbit_code': 180143985128382597, 'n': 19, 'trace_an': -10}
  • id: 70624400
    {'hecke_orbit_code': 180143985128382597, 'n': 20, 'trace_an': 0}
  • id: 70624401
    {'hecke_orbit_code': 180143985128382597, 'n': 21, 'trace_an': 0}
  • id: 70624402
    {'hecke_orbit_code': 180143985128382597, 'n': 22, 'trace_an': -12}
  • id: 70624403
    {'hecke_orbit_code': 180143985128382597, 'n': 23, 'trace_an': 8}
  • id: 70624404
    {'hecke_orbit_code': 180143985128382597, 'n': 24, 'trace_an': 0}
  • id: 70624405
    {'hecke_orbit_code': 180143985128382597, 'n': 25, 'trace_an': 0}
  • id: 70624406
    {'hecke_orbit_code': 180143985128382597, 'n': 26, 'trace_an': 9}
  • id: 70624407
    {'hecke_orbit_code': 180143985128382597, 'n': 27, 'trace_an': 0}
  • id: 70624408
    {'hecke_orbit_code': 180143985128382597, 'n': 28, 'trace_an': -17}
  • id: 70624409
    {'hecke_orbit_code': 180143985128382597, 'n': 29, 'trace_an': -9}
  • id: 70624410
    {'hecke_orbit_code': 180143985128382597, 'n': 30, 'trace_an': 0}
  • id: 70624411
    {'hecke_orbit_code': 180143985128382597, 'n': 31, 'trace_an': 7}
  • id: 70624412
    {'hecke_orbit_code': 180143985128382597, 'n': 32, 'trace_an': 3}
  • id: 70624413
    {'hecke_orbit_code': 180143985128382597, 'n': 33, 'trace_an': 0}
  • id: 70624414
    {'hecke_orbit_code': 180143985128382597, 'n': 34, 'trace_an': -11}
  • id: 70624415
    {'hecke_orbit_code': 180143985128382597, 'n': 35, 'trace_an': 0}
  • id: 70624416
    {'hecke_orbit_code': 180143985128382597, 'n': 36, 'trace_an': 0}
  • id: 70624417
    {'hecke_orbit_code': 180143985128382597, 'n': 37, 'trace_an': -3}
  • id: 70624418
    {'hecke_orbit_code': 180143985128382597, 'n': 38, 'trace_an': 11}
  • id: 70624419
    {'hecke_orbit_code': 180143985128382597, 'n': 39, 'trace_an': 0}
  • id: 70624420
    {'hecke_orbit_code': 180143985128382597, 'n': 40, 'trace_an': 0}
  • id: 70624421
    {'hecke_orbit_code': 180143985128382597, 'n': 41, 'trace_an': 14}
  • id: 70624422
    {'hecke_orbit_code': 180143985128382597, 'n': 42, 'trace_an': 0}
  • id: 70624423
    {'hecke_orbit_code': 180143985128382597, 'n': 43, 'trace_an': -3}
  • id: 70624424
    {'hecke_orbit_code': 180143985128382597, 'n': 44, 'trace_an': 5}
  • id: 70624425
    {'hecke_orbit_code': 180143985128382597, 'n': 45, 'trace_an': 0}
  • id: 70624426
    {'hecke_orbit_code': 180143985128382597, 'n': 46, 'trace_an': 11}
  • id: 70624427
    {'hecke_orbit_code': 180143985128382597, 'n': 47, 'trace_an': 7}
  • id: 70624428
    {'hecke_orbit_code': 180143985128382597, 'n': 48, 'trace_an': 0}
  • id: 70624429
    {'hecke_orbit_code': 180143985128382597, 'n': 49, 'trace_an': 1}
  • id: 70624430
    {'hecke_orbit_code': 180143985128382597, 'n': 50, 'trace_an': 0}
  • id: 70624431
    {'hecke_orbit_code': 180143985128382597, 'n': 51, 'trace_an': 0}
  • id: 70624432
    {'hecke_orbit_code': 180143985128382597, 'n': 52, 'trace_an': 14}
  • id: 70624433
    {'hecke_orbit_code': 180143985128382597, 'n': 53, 'trace_an': -11}
  • id: 70624434
    {'hecke_orbit_code': 180143985128382597, 'n': 54, 'trace_an': 0}
  • id: 70624435
    {'hecke_orbit_code': 180143985128382597, 'n': 55, 'trace_an': 0}
  • id: 70624436
    {'hecke_orbit_code': 180143985128382597, 'n': 56, 'trace_an': -28}
  • id: 70624437
    {'hecke_orbit_code': 180143985128382597, 'n': 57, 'trace_an': 0}
  • id: 70624438
    {'hecke_orbit_code': 180143985128382597, 'n': 58, 'trace_an': -20}
  • id: 70624439
    {'hecke_orbit_code': 180143985128382597, 'n': 59, 'trace_an': 9}
  • id: 70624440
    {'hecke_orbit_code': 180143985128382597, 'n': 60, 'trace_an': 0}
  • id: 70624441
    {'hecke_orbit_code': 180143985128382597, 'n': 61, 'trace_an': -14}
  • id: 70624442
    {'hecke_orbit_code': 180143985128382597, 'n': 62, 'trace_an': -18}
  • id: 70624443
    {'hecke_orbit_code': 180143985128382597, 'n': 63, 'trace_an': 0}
  • id: 70624444
    {'hecke_orbit_code': 180143985128382597, 'n': 64, 'trace_an': -7}
  • id: 70624445
    {'hecke_orbit_code': 180143985128382597, 'n': 65, 'trace_an': 0}
  • id: 70624446
    {'hecke_orbit_code': 180143985128382597, 'n': 66, 'trace_an': 0}
  • id: 70624447
    {'hecke_orbit_code': 180143985128382597, 'n': 67, 'trace_an': 3}
  • id: 70624448
    {'hecke_orbit_code': 180143985128382597, 'n': 68, 'trace_an': 8}
  • id: 70624449
    {'hecke_orbit_code': 180143985128382597, 'n': 69, 'trace_an': 0}
  • id: 70624450
    {'hecke_orbit_code': 180143985128382597, 'n': 70, 'trace_an': 0}
  • id: 70624451
    {'hecke_orbit_code': 180143985128382597, 'n': 71, 'trace_an': -21}
  • id: 70624452
    {'hecke_orbit_code': 180143985128382597, 'n': 72, 'trace_an': 0}
  • id: 70624453
    {'hecke_orbit_code': 180143985128382597, 'n': 73, 'trace_an': -23}
  • id: 70624454
    {'hecke_orbit_code': 180143985128382597, 'n': 74, 'trace_an': 0}
  • id: 70624455
    {'hecke_orbit_code': 180143985128382597, 'n': 75, 'trace_an': 0}
  • id: 70624456
    {'hecke_orbit_code': 180143985128382597, 'n': 76, 'trace_an': -12}
  • id: 70624457
    {'hecke_orbit_code': 180143985128382597, 'n': 77, 'trace_an': 14}
  • id: 70624458
    {'hecke_orbit_code': 180143985128382597, 'n': 78, 'trace_an': 0}
  • id: 70624459
    {'hecke_orbit_code': 180143985128382597, 'n': 79, 'trace_an': -18}
  • id: 70624460
    {'hecke_orbit_code': 180143985128382597, 'n': 80, 'trace_an': 0}
  • id: 70624461
    {'hecke_orbit_code': 180143985128382597, 'n': 81, 'trace_an': 0}
  • id: 70624462
    {'hecke_orbit_code': 180143985128382597, 'n': 82, 'trace_an': 34}
  • id: 70624463
    {'hecke_orbit_code': 180143985128382597, 'n': 83, 'trace_an': -11}
  • id: 70624464
    {'hecke_orbit_code': 180143985128382597, 'n': 84, 'trace_an': 0}
  • id: 70624465
    {'hecke_orbit_code': 180143985128382597, 'n': 85, 'trace_an': 0}
  • id: 70624466
    {'hecke_orbit_code': 180143985128382597, 'n': 86, 'trace_an': 7}
  • id: 70624467
    {'hecke_orbit_code': 180143985128382597, 'n': 87, 'trace_an': 0}
  • id: 70624468
    {'hecke_orbit_code': 180143985128382597, 'n': 88, 'trace_an': -15}
  • id: 70624469
    {'hecke_orbit_code': 180143985128382597, 'n': 89, 'trace_an': -13}
  • id: 70624470
    {'hecke_orbit_code': 180143985128382597, 'n': 90, 'trace_an': 0}
  • id: 70624471
    {'hecke_orbit_code': 180143985128382597, 'n': 91, 'trace_an': -5}
  • id: 70624472
    {'hecke_orbit_code': 180143985128382597, 'n': 92, 'trace_an': 12}
  • id: 70624473
    {'hecke_orbit_code': 180143985128382597, 'n': 93, 'trace_an': 0}
  • id: 70624474
    {'hecke_orbit_code': 180143985128382597, 'n': 94, 'trace_an': -28}
  • id: 70624475
    {'hecke_orbit_code': 180143985128382597, 'n': 95, 'trace_an': 0}
  • id: 70624476
    {'hecke_orbit_code': 180143985128382597, 'n': 96, 'trace_an': 0}
  • id: 70624477
    {'hecke_orbit_code': 180143985128382597, 'n': 97, 'trace_an': -14}
  • id: 70624478
    {'hecke_orbit_code': 180143985128382597, 'n': 98, 'trace_an': 49}
  • id: 70624479
    {'hecke_orbit_code': 180143985128382597, 'n': 99, 'trace_an': 0}
  • id: 70624480
    {'hecke_orbit_code': 180143985128382597, 'n': 100, 'trace_an': 0}