Embedded newform data - 1425.2.a.b.1.1

Formats: - HTML - YAML - JSON - 2026-10-15T15:21:35.828619

• 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': 5700, 'analytic_conductor': 11.378682288032454, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1], [19, 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': [1425, 1, [476, 1027, 1351], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 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, [1, 1]], [7, [0, 1]], [11, [-5, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660926353, 'hecke_ring_generator_nbound': 1, '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': True, 'label': '1425.2.a.b', 'level': 1425, '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, 19], 'level_radical': 285, 'minimal_twist': '1425.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}-q^{3}-q^{4}+q^{6}+3q^{8}+q^{9}+\\cdots', 'related_objects': ['EllipticCurve/Q/1425/b'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1425.2.a', 'trace_display': [-1, -1, 0, 0], 'trace_hash': 287511850631547473, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '0.987', 'prec': 10}, 0, {'__RealLiteral__': 0, 'data': '1.941', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '4.784', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.013', 'prec': 7}, 'traces': [1, -1, -1, -1, 0, 1, 0, 3, 1, 0, 5, 1, 4, 0, 0, -1, -4, -1, -1, 0, 0, -5, -9, -3, 0, -4, -1, 0, 7, 0, 3, -5, -5, 4, 0, -1, -10, 1, -4, 0, -2, 0, 4, -5, 0, 9, 8, 1, -7, 0, 4, -4, 11, 1, 0, 0, 1, -7, 8, 0, 13, -3, 0, 7, 0, 5, 9, 4, 9, 0, 10, 3, -5, 10, 0, 1, 0, 4, -15, 0, 1, 2, 9, 0, 0, -4, -7, 15, 3, 0, 0, 9, -3, -8, 0, 5, -10, 7, 5, 0, 0, -4, -13, 12, 0, -11, 6, 1, -10, 0, 10, 0, -1, -1, 0, -7, 4, -8, 0, 0, 14, -13, 2, -3, 0, 0, 13, 3, -4, 0, 3, 5, 0, -9, 0, -12, 12, -9, 14, 0, -8, -10, 20, -1, 0, 5, 7, 10, 16, 0, -8, -3, -4, 0, 0, 4, 2, 15, -11, 0, 0, -1, 14, 2, 0, -9, 6, 0, 3, 0, -1, -4, -3, 7, 0, -5, -8, -3, -4, 0, -16, 0, -13, -27, 0, 3, -20, -8, 0, 0, -17, -7, 14, 10, 0, 7, 12, -5, 22, 0, -9, 0, 0, -4, 0, 13, -9, -4, -5, 0, 11, -11, -10, -6, 0, -3, 0, 10, 5, 0, -16, -10, -1, 0, 0, 1, 22, -1, 21, 0, 0, 21, 0, -4, 0, -8, 15, 0, 8, 0, 4, -14, -1, -13, 0, -2, -4, 9, -9, 0, -24, 0, -45, -13, 0, 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9, 0, -1, 50, -12, 0, 0, -12, 75, -14, -84, 0, 0, -16, -36, -2, 0, 30, 58, 0, 10, 0, -98, 9, 52, -14, 0, 0, -100, 5, 40, 0, 6, 0, -18, 37, 0, 4, 9, -60, 0, 0, -14, 34, -32, -16, 0, -7, -80, -9, 34, 0, 20, -16, 0, -46, 0, -45, -92, -15, 39, 0, 0, -15, 8, -30, 0, -12, 0, 63, -8, 0, -52, -6, -5, 0, 0, -1, -10, 52, 8, 0, 0, -16, 96, -65, 0, -60, 54, 0, -48, 0, -36, -36, -1, -7, 0, -24, -21, 10, -19, 0, 50, 0, 44, -3, 0, -10, 14, -27, 0, 0, 2, 3, -10, 72, 0, 0, -20, 8, 8, 0, 24, -51, 0, 22, 0, -56, 0, 45, 21, 0, 43, 6, -14, -10, 0, 1, 0, -63, -45, 0, -12, -14, 44, 0, 0, -54, -18, 21, 34, 0, 0, 28, 78, 4, 0, -44, 26, 0, 9, 0, -120, 50, -23, -10, 0, 12, 4, 3, -40, 0, -56, 0, 64, -5, 0, 60, 1, -12, 0, 0, 13, -24, -126, 35, 0, 0, -4, -8, 13, 0, -38, -51, -7, -65, 0, 0, 17, -47, 24, 0, 25, 7, 21, 8, 0, 117, 0, -12, 68, 0, -42, -10, -70, 0, 0, -85, -13, 42, -33, 0, 0, 36, -13, 36, 0, -2, 105, 0, -18, 0, -16, 8, -24, 40, 0, -13, 18, 20, -24, 0, 12, 49, 20, 15, 0, 38, 20, -15, 0, 0, -72, 27, 1, 2, 0, 0, -85, 10, -17, 0, 50, 11, 0, 4, 0, -57, 104, 8, 8, 0, 35, 0, -12, 15, 0, -15, 0, -46, 40, 0, 36, -15, 22, 0, 0, -40, 7, 3, -6, 0, -56, 4, -85, 32, 0, 16, -36, 0, -4, 0, -2, -3, -86, -42, 0, 30, 4, -2, 58, 0, -20, 0, 36, -24, 0, -1, -74, -55, 0, 0, -117, 8, 150, 16, 0, 0, 27, 13, 0, 0, -2, 1, 0, -14, 0, 54, -15, 4, -58, 0, 12, 25, 10, -27, 0, 28, 0, -45, 42, 0, 88, -6, -16, 0, 0, -4, 86, -28, 70, 0, 0, 13, -32, -4, 0, 22, 36, 0, 12, 0, 20, 40, -5, 48, 0, 15, 84, 66, -3, 0, 50, 0, -2, -60, 0, -22, -91, -9, -91, 0, -3, 20, 10, -32, 0, 0, -10, 60, -7, 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], [-0.7071067811865476, 0.0], [-0.5773502691896257, 0.0], [-0.5, 0.0], [0.0, 0.0], [0.408248290463863, 0.0], [0.0, 0.0], [1.0606601717798212, 0.0], [0.3333333333333333, 0.0], [0.0, 0.0], [1.507556722888818, 0.0], [0.28867513459481287, 0.0], [1.1094003924504583, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.25, 0.0], [-0.9701425001453319, 0.0], [-0.23570226039551584, 0.0], [-0.22941573387056177, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0660035817780522, 0.0], [-1.8766297265136729, 0.0], [-0.6123724356957945, 0.0], [0.0, 0.0], [-0.7844645405527362, 0.0], [-0.19245008972987526, 0.0], [0.0, 0.0], [1.299867367239363, 0.0], [0.0, 0.0], [0.5388159060803247, 0.0], [-0.8838834764831844, 0.0], [-0.8703882797784892, 0.0], [0.6859943405700354, 0.0], [0.0, 0.0], [-0.16666666666666666, 0.0], [-1.643989873053573, 0.0], [0.16222142113076254, 0.0], [-0.6405126152203485, 0.0], [0.0, 0.0], [-0.31234752377721214, 0.0], [0.0, 0.0], [0.6099942813304187, 0.0], [-0.753778361444409, 0.0], [0.0, 0.0], [1.3269776053940743, 0.0], [1.1669199319831565, 0.0], [0.14433756729740643, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.5601120336112039, 0.0], [-0.5547001962252291, 0.0], [1.5109662034355793, 0.0], [0.13608276348795434, 0.0], [0.0, 0.0], [0.0, 0.0], [0.13245323570650439, 0.0], [-0.9191450300180579, 0.0], [1.0415112878465909, 0.0], [0.0, 0.0], [1.6644794391276476, 0.0], [-0.3810003810005715, 0.0], [0.0, 0.0], [0.875, 0.0], [0.0, 0.0], [0.6154574548966637, 0.0], [1.099524999206747, 0.0], [0.48507125007266594, 0.0], [1.0834726777719228, 0.0], [0.0, 0.0], [1.1867816581938533, 0.0], [0.3535533905932738, 0.0], [-0.5852057359806528, 0.0], [1.1624763874381927, 0.0], [0.0, 0.0], [0.11470786693528089, 0.0], [0.0, 0.0], [0.4529108136578383, 0.0], [-1.6876318513890358, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [0.2208630521496931, 0.0], [0.9878783399072131, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.43133109281375365, 0.0], [-0.7504787743864564, 0.0], [1.5990053726670783, 0.0], [0.317999364001908, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9383148632568364, 0.0], [-0.3110855084191276, 0.0], [-0.8251369970070347, 0.0], [0.0, 0.0], [0.5103103630798288, 0.0], [-1.015346165133619, 0.0], [0.7071067811865476, 0.0], [0.502518907629606, 0.0], [0.0, 0.0]], 'angles': [-0.307513364040654, None, None, -0.25, -0.1141146114401607, -0.1564164790945006, -0.33060316840167087, None, -0.4438068290544591, -0.13739832752923198, -0.2065860009601446, -0.40356943346125496, -0.2749579914769047, -0.20067224477147938, -0.15084925550907735, -0.11370111096791495, -0.16282513261916898, -0.09352915696754197, -0.1573591083989276, -0.14889443674318906, -0.29726069545619943, -0.4098480366067444, -0.16777827137664872, -0.22458655842343894, -0.33474710796167445, -0.25, -0.36062897171064523, -0.20316886090100808, -0.329484560221779, -0.25748878189681046, -0.152154156560609, -0.22908167738789056, -0.16433848876031978, -0.14882691721240432, -0.13625308379316045, -0.3027688951636682, -0.23728452991592908, -0.1576409660411811, -0.21271248373008422, -0.2681900649869289, -0.2738811103123127, -0.35135177511191745, -0.35542975446649794, -0.1659543412124187, -0.17970031566639177, -0.10766816690670794, -0.1881966803167503, -0.25532989783019094, -0.11973774243711259, -0.12795442761377662, -0.25, -0.20834660603955663, -0.22943871027252252, -0.3867734482469744, -0.13634020213375544, -0.33780516332881877, -0.17982084857176378, -0.20088423352744628, -0.020901437002093754, -0.32382720215434646, -0.25, -0.20766172065256133, -0.36394808014338076, -0.13089052852337593, -0.3098762881830902, -0.2455298962274652, -0.2631368321288144, -0.28495933537957013, -0.15981117880182721, -0.32517940209182095, -0.19826809496900713, -0.25, -0.17216370365339798, -0.3366207798309763, -0.28293553121296355, -0.3260535242306998, -0.3875304460337181, -0.3797132604648053, -0.23806709513344185, -0.40889749660276464, -0.1301314593959344, -0.3592078788446099, -0.22692052503891663, -0.3573975452264858, -0.07777464766537517, -0.30798703294118734, -0.27640948071915517, -0.3030940073432119, -0.20492429437990692, -0.2949755613853844, -0.22410911186415797, -0.19433203603056826, -0.2209916593318652, -0.14115590817307735, -0.37707339516621835, -0.14270657992811922, -0.274790590826892, -0.4275339159136678, -0.14514694477240017, -0.32454301388505247], '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': 0.0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660926353, 'label': '1425.2.a.b.1.1', 'level': 1425, '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': [6, 7, 7, 9, 9, 4, 5, 11], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [16, 17, 19, 14, 17, 19, 16, 13], 'Nk2': 5700, 'analytic_conductor': 11.378682288032454, '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': [1425, 1, [476, 1027, 1351], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 189, 'dim': 58, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 33555857, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 7, 7], 'label': '1425.2.a', 'level': 1425, '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, 19], 'level_radical': 285, 'mf_dim': 212, 'mf_new_dim': 58, 'num_forms': 26, 'plus_dim': 24, 'prim_orbit_index': 1, 'relative_dim': 58, 'sturm_bound': 400, 'trace_bound': 11, 'trace_display': [-2, 0, 0, 2], 'traces': [58, -2, 0, 56, 0, 2, 2, -6, 58, 0, -10, 8, 4, 12, 0, 76, 14, -2, 4, 0, 0, -8, -4, -6, 0, -12, 0, 12, -32, 0, 12, -14, 8, 0, 0, 56, 0, 0, 16, 0, -4, 8, -14, -64, 0, -36, -14, 32, 88, 0, -4, 56, -8, 2, 0, 24, -2, 16, 16, 0, -6, 40, 2, 20, 0, 20, -24, 60, 4, 0, 24, -6, 22, -60, 0, 10, 6, -20, 8, 0, 58, -16, -36, -8, 0, -44, -4, -20, 0, 0, 20, -60, 0, -56, 0, 10, 60, 18, -10, 0, -60, -4, -28, 12, 0, 24, -28, 8, -136, 0, 24, -8, -16, 4, 0, -148, 4, 8, 10, 0, 72, -24, -36, 128, 0, 12, -20, 26, 32, 0, 34, 36, -2, -8, 0, -20, -18, -52, 18, 0, 16, 0, -12, 76, 0, 8, 48, 8, -74, 0, -32, -12, 14, -92, 0, 72, 84, 32, -44, 0, -40, -2, 16, 52, 0, 12, -28, -16, 86, 0, 4, -84, -32, 24, 0, -156, -8, 0, -92, 0, -100, -160, 24, 28, 0, -72, -54, -32, 0, 0, -138, 24, -16, -4, 0, 140, 52, -8, 58, 0, 48, -12, 20, -48, 0, 64, -4, 32, -30, 0, 0, -100, -24, -80, 0, -6, 44, 36, 32, 0, -12, -12, -32, 64, 0, -56, 44, -6, 46, 0, -52, 96, 34, -12, 0, 160, 16, 44, 14, 0, 8, 10, 0, -116, 0, -160, -16, 64, -12, 0, -6, 12, -8, -40, 0, -92, 52, -16, 104, 0, -32, -80, 50, -52, 0, -28, -52, -104, 24, 0, -8, 88, 56, -96, 0, -4, 6, 12, 12, 0, -32, 68, -14, 16, 0, 80, 56, -14, 44, 0, 32, 12, 12, -22, 0, -204, 8, -112, -8, 0, 38, -24, 48, 22, 0, 0, 72, 196, 8, 0, 98, 12, 52, 4, 0, -128, 20, -88, -92, 0, 48, 160, 14, 56, 0, 40, 24, -40, 2, 0, 8, -156, 0, 80, 0, 104, 36, -78, 44, 0, 76, 0, 46, -344, 0, -192, -54, 52, 14, 0, 16, -84, 76, -128, 0, -196, -36, -128, -74, 0, 58, 28, -56, -112, 0, 124, 0, -124, -4, 0, 84, -8, -56, -92, 0, 28, -56, 8, -20, 0, 32, 112, -52, 50, 0, -228, -14, -72, 138, 0, 80, -70, 24, -84, 0, -64, -106, -164, 16, 0, -292, 80, -32, -112, 0, -48, 80, -60, -76, 0, -28, 8, 8, -36, 0, -276, 16, 16, 124, 0, 76, -64, -14, -40, 0, -24, -18, -112, 8, 0, 28, 32, 140, 136, 0, -104, 12, -20, 84, 0, 88, -8, -222, 128, 0, 200, -52, 40, -76, 0, 168, -4, 24, -168, 0, 12, -118, 80, -4, 0, -74, -72, 78, -252, 0, 88, -126, 56, 168, 0, -16, 24, -74, -40, 0, -60, -8, 96, -84, 0, -64, 156, 24, -36, 0, 2, -32, -52, 40, 0, 84, -44, 100, 40, 0, 392, -160, -76, -82, 0, -24, 56, 76, 24, 0, 288, 0, -128, 176, 0, -86, 194, -2, 208, 0, -16, -22, 104, 132, 0, -196, 16, 108, 344, 0, -120, 84, 60, 210, 0, 16, -36, 16, 112, 0, -104, 24, 160, -96, 0, -86, 128, -8, -76, 0, -32, -4, -44, -6, 0, -4, -68, -112, 16, 0, -12, 118, 40, 252, 0, 0, -88, -160, -84, 0, 436, 2, 80, -208, 0, 96, 128, -64, 8, 0, 20, -14, -50, 32, 0, 184, 20, 44, -68, 0, -160, 138, 72, 12, 0, 24, -24, 92, 20, 0, -60, 0, -32, 160, 0, -120, -12, -24, 160, 0, 60, -36, 36, -72, 0, 172, 60, -26, 160, 0, -328, -178, 176, 96, 0, 4, 224, 84, -88, 0, 340, -8, -72, -152, 0, 386, 160, 32, -136, 0, -12, 8, 248, 24, 0, -112, -64, 18, 160, 0, 20, 126, -6, -48, 0, 152, 8, -154, -148, 0, 372, 22, 172, 52, 0, -24, -160, 56, 4, 0, -60, 8, 184, 32, 0, 270, -120, 16, 188, 0, 152, 48, -48, 180, 0, -192, -96, -12, 10, 0, -84, 72, -152, -368, 0, 206, -28, 6, 0, 0, -328, -128, 128, 12, 0, -44, -20, -20, -4, 0, -260, -12, -80, -140, 0, 8, -112, -256, -216, 0, 56, 80, -64, 54, 0, -348, -2, 64, -552, 0, 2, -10, -184, 58, 0, -254, -160, -68, 368, 0, -92, -208, -16, 170, 0, 12, 16, -8, -120, 0, 68, -36, 228, -204, 0, -24, -132, 56, -48, 0, -8, -14, 72, -8, 0, -354, -24, -152, -176, 0, -376, 144, -48, -422, 0, 44, 40, 52, -44, 0, 308, -56, -80, 0, 0, 104, -88, -4, 156, 0, -140, -40, 104, 40, 0, 300, -20, -4, 72, 0, 92, -4, -8, -10, 0, 0, -64, 98, -16, 0, 160, -28, 188, 74, 0, 188, -232, 16, 200, 0, -192, 14, -28, 20, 0, -354, -4, 10, 296, 0, 296, -48, -60, -48, 0, -72, 32, 12, 152, 0, -160, 0, -36, 276, 0, -66, 108, 44, -8, 0, -56, 92, -268, 112, 0, -72, 64, -44, 492, 0, 96, -108, -56, -6, 0, 88, -64, 120, 10, 0, 308, -40, 120, -240, 0, -112, 100, 60, 44, 0, -16, 84, 344, -84, 0, 30, 18, 34, -24, 0, 216, 208, -28, -92, 0, -10, -96, 6, -108, 0, -32, 48, -104, 32, 0, -36, 128, 104, -48, 0, 232, 20, -136, -60, 0, 228, 2, 8, 0, 0, 300, 82, -4, 104, 0, 168, -288, 80, -272, 0, 228, -28, 216, -100, 0, -2, 244, -112, 88, 0, 12, -162, -96, 160, 0, 80, 84, 184, 288, 0, 228, 4, 64, 92, 0, 4, -96, 68, 24, 0, 312, -104, -220, -310, 0, 186, -24, -28, 112, 0, -160, 208, -366, 8, 0, 168, 8, -226, 488, 0, 112, 32, -160, -188, 0, -136, 124, 120, -112, 0, 152, -76, -52, -104, 0, -136, -112, -80, -8, 0, -92, 182, -412, 24, 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: 33863061
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660926353, 'source_is_minimal': True, 'source_label': '1425.2.a.b.1.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660926353, 'target_is_minimal': True, 'target_label': '1425.2.a.b.1.1', 'target_level': 1425, 'twist_class_label': '1425.2.a.b.1.1', 'twist_class_level': 1425, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 33863062
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660926353, 'source_is_minimal': True, 'source_label': '1425.2.a.b.1.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595934634163, 'target_is_minimal': False, 'target_label': '4275.2.a.l.1.1', 'target_level': 4275, 'twist_class_label': '1425.2.a.b.1.1', 'twist_class_level': 1425, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 33863063
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660926353, 'source_is_minimal': True, 'source_label': '1425.2.a.b.1.1', 'source_level': 1425, 'target_conrey_index': 799, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525334864102801, 'target_is_minimal': False, 'target_label': '1425.2.c.h.799.1', 'target_level': 1425, 'twist_class_label': '1425.2.a.b.1.1', 'twist_class_level': 1425, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 33863064
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660926353, 'source_is_minimal': True, 'source_label': '1425.2.a.b.1.1', 'source_level': 1425, 'target_conrey_index': 799, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525334864102801, 'target_is_minimal': False, 'target_label': '1425.2.c.h.799.2', 'target_level': 1425, 'twist_class_label': '1425.2.a.b.1.1', 'twist_class_level': 1425, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 33863065
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660926353, 'source_is_minimal': True, 'source_label': '1425.2.a.b.1.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197425149329, 'target_is_minimal': True, 'target_label': '1425.2.a.h.1.1', 'target_level': 1425, 'twist_class_label': '1425.2.a.b.1.1', 'twist_class_level': 1425, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 33863066
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660926353, 'source_is_minimal': True, 'source_label': '1425.2.a.b.1.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998170411187, 'target_is_minimal': False, 'target_label': '4275.2.a.f.1.1', 'target_level': 4275, 'twist_class_label': '1425.2.a.b.1.1', 'twist_class_level': 1425, '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: 1938350
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 2}
  • id: 1938351
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 3}
  • id: 1938352
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 5}
  • id: 1938353
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 7}
  • id: 1938354
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 11}
  • id: 1938355
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 13}
  • id: 1938356
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 17}
  • id: 1938357
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 19}
  • id: 1938358
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 23}
  • id: 1938359
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 29}
  • id: 1938360
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 31}
  • id: 1938361
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 37}
  • id: 1938362
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 41}
  • id: 1938363
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 43}
  • id: 1938364
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 47}
  • id: 1938365
    {'charpoly_factorization': [[[-11, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 53}
  • id: 1938366
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 59}
  • id: 1938367
    {'charpoly_factorization': [[[-13, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 61}
  • id: 1938368
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 67}
  • id: 1938369
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 71}
  • id: 1938370
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 73}
  • id: 1938371
    {'charpoly_factorization': [[[15, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 79}
  • id: 1938372
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 83}
  • id: 1938373
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 4503599660926353, 'p': 89}
  • id: 1938374
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 4503599660926353, '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': 2, 'label': '1425.2.a.b', 'level': 1425, '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: 16385904
    {'hecke_orbit_code': 4503599660926353, 'n': 1, 'trace_an': 1}
  • id: 16385905
    {'hecke_orbit_code': 4503599660926353, 'n': 2, 'trace_an': -1}
  • id: 16385906
    {'hecke_orbit_code': 4503599660926353, 'n': 3, 'trace_an': -1}
  • id: 16385907
    {'hecke_orbit_code': 4503599660926353, 'n': 4, 'trace_an': -1}
  • id: 16385908
    {'hecke_orbit_code': 4503599660926353, 'n': 5, 'trace_an': 0}
  • id: 16385909
    {'hecke_orbit_code': 4503599660926353, 'n': 6, 'trace_an': 1}
  • id: 16385910
    {'hecke_orbit_code': 4503599660926353, 'n': 7, 'trace_an': 0}
  • id: 16385911
    {'hecke_orbit_code': 4503599660926353, 'n': 8, 'trace_an': 3}
  • id: 16385912
    {'hecke_orbit_code': 4503599660926353, 'n': 9, 'trace_an': 1}
  • id: 16385913
    {'hecke_orbit_code': 4503599660926353, 'n': 10, 'trace_an': 0}
  • id: 16385914
    {'hecke_orbit_code': 4503599660926353, 'n': 11, 'trace_an': 5}
  • id: 16385915
    {'hecke_orbit_code': 4503599660926353, 'n': 12, 'trace_an': 1}
  • id: 16385916
    {'hecke_orbit_code': 4503599660926353, 'n': 13, 'trace_an': 4}
  • id: 16385917
    {'hecke_orbit_code': 4503599660926353, 'n': 14, 'trace_an': 0}
  • id: 16385918
    {'hecke_orbit_code': 4503599660926353, 'n': 15, 'trace_an': 0}
  • id: 16385919
    {'hecke_orbit_code': 4503599660926353, 'n': 16, 'trace_an': -1}
  • id: 16385920
    {'hecke_orbit_code': 4503599660926353, 'n': 17, 'trace_an': -4}
  • id: 16385921
    {'hecke_orbit_code': 4503599660926353, 'n': 18, 'trace_an': -1}
  • id: 16385922
    {'hecke_orbit_code': 4503599660926353, 'n': 19, 'trace_an': -1}
  • id: 16385923
    {'hecke_orbit_code': 4503599660926353, 'n': 20, 'trace_an': 0}
  • id: 16385924
    {'hecke_orbit_code': 4503599660926353, 'n': 21, 'trace_an': 0}
  • id: 16385925
    {'hecke_orbit_code': 4503599660926353, 'n': 22, 'trace_an': -5}
  • id: 16385926
    {'hecke_orbit_code': 4503599660926353, 'n': 23, 'trace_an': -9}
  • id: 16385927
    {'hecke_orbit_code': 4503599660926353, 'n': 24, 'trace_an': -3}
  • id: 16385928
    {'hecke_orbit_code': 4503599660926353, 'n': 25, 'trace_an': 0}
  • id: 16385929
    {'hecke_orbit_code': 4503599660926353, 'n': 26, 'trace_an': -4}
  • id: 16385930
    {'hecke_orbit_code': 4503599660926353, 'n': 27, 'trace_an': -1}
  • id: 16385931
    {'hecke_orbit_code': 4503599660926353, 'n': 28, 'trace_an': 0}
  • id: 16385932
    {'hecke_orbit_code': 4503599660926353, 'n': 29, 'trace_an': 7}
  • id: 16385933
    {'hecke_orbit_code': 4503599660926353, 'n': 30, 'trace_an': 0}
  • id: 16385934
    {'hecke_orbit_code': 4503599660926353, 'n': 31, 'trace_an': 3}
  • id: 16385935
    {'hecke_orbit_code': 4503599660926353, 'n': 32, 'trace_an': -5}
  • id: 16385936
    {'hecke_orbit_code': 4503599660926353, 'n': 33, 'trace_an': -5}
  • id: 16385937
    {'hecke_orbit_code': 4503599660926353, 'n': 34, 'trace_an': 4}
  • id: 16385938
    {'hecke_orbit_code': 4503599660926353, 'n': 35, 'trace_an': 0}
  • id: 16385939
    {'hecke_orbit_code': 4503599660926353, 'n': 36, 'trace_an': -1}
  • id: 16385940
    {'hecke_orbit_code': 4503599660926353, 'n': 37, 'trace_an': -10}
  • id: 16385941
    {'hecke_orbit_code': 4503599660926353, 'n': 38, 'trace_an': 1}
  • id: 16385942
    {'hecke_orbit_code': 4503599660926353, 'n': 39, 'trace_an': -4}
  • id: 16385943
    {'hecke_orbit_code': 4503599660926353, 'n': 40, 'trace_an': 0}
  • id: 16385944
    {'hecke_orbit_code': 4503599660926353, 'n': 41, 'trace_an': -2}
  • id: 16385945
    {'hecke_orbit_code': 4503599660926353, 'n': 42, 'trace_an': 0}
  • id: 16385946
    {'hecke_orbit_code': 4503599660926353, 'n': 43, 'trace_an': 4}
  • id: 16385947
    {'hecke_orbit_code': 4503599660926353, 'n': 44, 'trace_an': -5}
  • id: 16385948
    {'hecke_orbit_code': 4503599660926353, 'n': 45, 'trace_an': 0}
  • id: 16385949
    {'hecke_orbit_code': 4503599660926353, 'n': 46, 'trace_an': 9}
  • id: 16385950
    {'hecke_orbit_code': 4503599660926353, 'n': 47, 'trace_an': 8}
  • id: 16385951
    {'hecke_orbit_code': 4503599660926353, 'n': 48, 'trace_an': 1}
  • id: 16385952
    {'hecke_orbit_code': 4503599660926353, 'n': 49, 'trace_an': -7}
  • id: 16385953
    {'hecke_orbit_code': 4503599660926353, 'n': 50, 'trace_an': 0}
  • id: 16385954
    {'hecke_orbit_code': 4503599660926353, 'n': 51, 'trace_an': 4}
  • id: 16385955
    {'hecke_orbit_code': 4503599660926353, 'n': 52, 'trace_an': -4}
  • id: 16385956
    {'hecke_orbit_code': 4503599660926353, 'n': 53, 'trace_an': 11}
  • id: 16385957
    {'hecke_orbit_code': 4503599660926353, 'n': 54, 'trace_an': 1}
  • id: 16385958
    {'hecke_orbit_code': 4503599660926353, 'n': 55, 'trace_an': 0}
  • id: 16385959
    {'hecke_orbit_code': 4503599660926353, 'n': 56, 'trace_an': 0}
  • id: 16385960
    {'hecke_orbit_code': 4503599660926353, 'n': 57, 'trace_an': 1}
  • id: 16385961
    {'hecke_orbit_code': 4503599660926353, 'n': 58, 'trace_an': -7}
  • id: 16385962
    {'hecke_orbit_code': 4503599660926353, 'n': 59, 'trace_an': 8}
  • id: 16385963
    {'hecke_orbit_code': 4503599660926353, 'n': 60, 'trace_an': 0}
  • id: 16385964
    {'hecke_orbit_code': 4503599660926353, 'n': 61, 'trace_an': 13}
  • id: 16385965
    {'hecke_orbit_code': 4503599660926353, 'n': 62, 'trace_an': -3}
  • id: 16385966
    {'hecke_orbit_code': 4503599660926353, 'n': 63, 'trace_an': 0}
  • id: 16385967
    {'hecke_orbit_code': 4503599660926353, 'n': 64, 'trace_an': 7}
  • id: 16385968
    {'hecke_orbit_code': 4503599660926353, 'n': 65, 'trace_an': 0}
  • id: 16385969
    {'hecke_orbit_code': 4503599660926353, 'n': 66, 'trace_an': 5}
  • id: 16385970
    {'hecke_orbit_code': 4503599660926353, 'n': 67, 'trace_an': 9}
  • id: 16385971
    {'hecke_orbit_code': 4503599660926353, 'n': 68, 'trace_an': 4}
  • id: 16385972
    {'hecke_orbit_code': 4503599660926353, 'n': 69, 'trace_an': 9}
  • id: 16385973
    {'hecke_orbit_code': 4503599660926353, 'n': 70, 'trace_an': 0}
  • id: 16385974
    {'hecke_orbit_code': 4503599660926353, 'n': 71, 'trace_an': 10}
  • id: 16385975
    {'hecke_orbit_code': 4503599660926353, 'n': 72, 'trace_an': 3}
  • id: 16385976
    {'hecke_orbit_code': 4503599660926353, 'n': 73, 'trace_an': -5}
  • id: 16385977
    {'hecke_orbit_code': 4503599660926353, 'n': 74, 'trace_an': 10}
  • id: 16385978
    {'hecke_orbit_code': 4503599660926353, 'n': 75, 'trace_an': 0}
  • id: 16385979
    {'hecke_orbit_code': 4503599660926353, 'n': 76, 'trace_an': 1}
  • id: 16385980
    {'hecke_orbit_code': 4503599660926353, 'n': 77, 'trace_an': 0}
  • id: 16385981
    {'hecke_orbit_code': 4503599660926353, 'n': 78, 'trace_an': 4}
  • id: 16385982
    {'hecke_orbit_code': 4503599660926353, 'n': 79, 'trace_an': -15}
  • id: 16385983
    {'hecke_orbit_code': 4503599660926353, 'n': 80, 'trace_an': 0}
  • id: 16385984
    {'hecke_orbit_code': 4503599660926353, 'n': 81, 'trace_an': 1}
  • id: 16385985
    {'hecke_orbit_code': 4503599660926353, 'n': 82, 'trace_an': 2}
  • id: 16385986
    {'hecke_orbit_code': 4503599660926353, 'n': 83, 'trace_an': 9}
  • id: 16385987
    {'hecke_orbit_code': 4503599660926353, 'n': 84, 'trace_an': 0}
  • id: 16385988
    {'hecke_orbit_code': 4503599660926353, 'n': 85, 'trace_an': 0}
  • id: 16385989
    {'hecke_orbit_code': 4503599660926353, 'n': 86, 'trace_an': -4}
  • id: 16385990
    {'hecke_orbit_code': 4503599660926353, 'n': 87, 'trace_an': -7}
  • id: 16385991
    {'hecke_orbit_code': 4503599660926353, 'n': 88, 'trace_an': 15}
  • id: 16385992
    {'hecke_orbit_code': 4503599660926353, 'n': 89, 'trace_an': 3}
  • id: 16385993
    {'hecke_orbit_code': 4503599660926353, 'n': 90, 'trace_an': 0}
  • id: 16385994
    {'hecke_orbit_code': 4503599660926353, 'n': 91, 'trace_an': 0}
  • id: 16385995
    {'hecke_orbit_code': 4503599660926353, 'n': 92, 'trace_an': 9}
  • id: 16385996
    {'hecke_orbit_code': 4503599660926353, 'n': 93, 'trace_an': -3}
  • id: 16385997
    {'hecke_orbit_code': 4503599660926353, 'n': 94, 'trace_an': -8}
  • id: 16385998
    {'hecke_orbit_code': 4503599660926353, 'n': 95, 'trace_an': 0}
  • id: 16385999
    {'hecke_orbit_code': 4503599660926353, 'n': 96, 'trace_an': 5}
  • id: 16386000
    {'hecke_orbit_code': 4503599660926353, 'n': 97, 'trace_an': -10}
  • id: 16386001
    {'hecke_orbit_code': 4503599660926353, 'n': 98, 'trace_an': 7}
  • id: 16386002
    {'hecke_orbit_code': 4503599660926353, 'n': 99, 'trace_an': 5}
  • id: 16386003
    {'hecke_orbit_code': 4503599660926353, 'n': 100, 'trace_an': 0}