Embedded newform data - 624.2.bz.h.335.4

Formats: - HTML - YAML - JSON - 2024-06-18T06:38:10.151104

• 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': 2496, 'analytic_conductor': 4.982665086127896, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 156, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 52, 'char_orbit_label': 'bz', 'char_order': 6, 'char_parity': 1, 'char_values': [624, 6, [79, 469, 209, 145], [3, 6, 3, 1]], 'cm_discs': [], 'conrey_index': 95, 'dim': 16, 'field_disc': 7416953155276448174936064, 'field_disc_factorization': [[2, 12], [3, 12], [13, 6], [163, 4]], 'field_poly': [6561, -6561, 3645, -1458, 729, 81, -414, 423, -266, 141, -46, 3, 9, -6, 5, -3, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [468, 0, -657, 0, 231, 0, -27, 0, 1]], [7, [36, -108, 288, -144, 96, -18, 15, -3, 1]]], 'hecke_orbit': 8, 'hecke_orbit_code': 31528702118462064, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 12, 'hecke_ring_index_factorization': [[2, 2], [3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 52, 9, -1, 6, 0], [1, 1, 156, 18, 1, 6, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '624.2.bz.h', 'level': 624, '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, 3, 13], 'level_radical': 78, 'minimal_twist': '624.2.bz.g', 'prim_orbit_index': 18, 'qexp_display': 'q+\\beta _{1}q^{3}+(2+2\\beta _{2}+2\\beta _{3}-2\\beta _{4}+2\\beta _{7}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '624.2.bz', 'trace_display': [0, 3, 0, 6], 'trace_hash': 1397992195720789655, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.651', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2.080', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1591.763', 'prec': 27}, {'__RealLiteral__': 0, 'data': '2317.271', 'prec': 27}, {'__RealLiteral__': 0, 'data': '271942.206', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.589', 'prec': 17}, 'traces': [16, 0, 3, 0, 0, 0, 6, 0, -1, 0, 0, 0, 14, 0, -6, 0, 0, 0, 6, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 24, 0, 9, 0, 0, 0, 12, 0, -27, 0, 0, 0, 6, 0, 30, 0, 0, 0, 14, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 8, 0, -21, 0, 0, 0, 30, 0, 9, 0, 0, 0, 0, 0, 15, 0, 0, 0, 0, 0, -13, 0, 0, 0, -30, 0, -39, 0, 0, 0, 30, 0, -72, 0, 0, 0, -54, 0, 42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3, 0, 0, 0, 24, 0, -11, 0, 0, 0, -34, 0, -57, 0, 0, 0, -42, 0, -90, 0, 0, 0, -42, 0, -96, 0, 0, 0, 90, 0, -36, 0, 0, 0, -6, 0, 72, 0, 0, 0, -96, 0, -25, 0, 0, 0, -44, 0, 48, 0, 0, 0, -18, 0, -24, 0, 0, 0, 22, 0, -21, 0, 0, 0, 54, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 108, 0, 36, 0, 0, 0, -48, 0, -48, 0, 0, 0, -162, 0, 45, 0, 0, 0, 42, 0, 0, 0, 0, 0, -102, 0, 0, 0, 0, 0, -12, 0, 6, 0, 0, 0, 54, 0, 83, 0, 0, 0, 0, 0, 75, 0, 0, 0, 0, 0, 18, 0, 0, 0, 48, 0, -87, 0, 0, 0, 30, 0, -36, 0, 0, 0, -162, 0, 180, 0, 0, 0, 0, 0, 158, 0, 0, 0, 0, 0, -3, 0, 0, 0, 6, 0, -66, 0, 0, 0, -40, 0, -96, 0, 0, 0, 42, 0, 0, 0, 0, 0, 96, 0, -102, 0, 0, 0, 48, 0, 90, 0, 0, 0, 90, 0, 177, 0, 0, 0, -192, 0, -12, 0, 0, 0, -8, 0, 114, 0, 0, 0, 90, 0, -39, 0, 0, 0, 44, 0, -36, 0, 0, 0, 162, 0, 0, 0, 0, 0, 124, 0, 0, 0, 0, 0, 60, 0, 72, 0, 0, 0, 90, 0, -84, 0, 0, 0, -300, 0, 207, 0, 0, 0, 110, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 16, 0, -12, 0, 0, 0, -6, 0, 39, 0, 0, 0, 0, 0, 159, 0, 0, 0, 0, 0, -84, 0, 0, 0, 90, 0, 51, 0, 0, 0, 48, 0, -66, 0, 0, 0, -84, 0, 162, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -54, 0, 0, 0, 18, 0, -105, 0, 0, 0, -64, 0, -192, 0, 0, 0, -186, 0, 16, 0, 0, 0, 0, 0, -138, 0, 0, 0, 18, 0, -162, 0, 0, 0, -12, 0, 246, 0, 0, 0, -192, 0, -12, 0, 0, 0, -180, 0, 102, 0, 0, 0, 54, 0, -20, 0, 0, 0, 96, 0, -75, 0, 0, 0, 126, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 27, 0, 0, 0, -174, 0, -63, 0, 0, 0, -120, 0, 36, 0, 0, 0, 12, 0, 0, 0, 0, 0, -210, 0, 0, 0, 0, 0, 22, 0, -33, 0, 0, 0, 204, 0, 141, 0, 0, 0, 0, 0, 114, 0, 0, 0, 0, 0, 1, 0, 0, 0, -252, 0, -120, 0, 0, 0, 138, 0, -45, 0, 0, 0, -390, 0, 162, 0, 0, 0, 0, 0, 78, 0, 0, 0, 0, 0, -57, 0, 0, 0, 48, 0, -126, 0, 0, 0, -12, 0, -171, 0, 0, 0, -312, 0, 6, 0, 0, 0, 64, 0, -138, 0, 0, 0, 234, 0, 27, 0, 0, 0, -96, 0, 306, 0, 0, 0, -96, 0, -90, 0, 0, 0, -152, 0, 75, 0, 0, 0, 18, 0, -57, 0, 0, 0, 94, 0, -81, 0, 0, 0, 138, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 288, 0, 30, 0, 0, 0, 228, 0, -144, 0, 0, 0, -270, 0, 243, 0, 0, 0, -44, 0, 0, 0, 0, 0, -198, 0, 0, 0, 0, 0, -6, 0, -12, 0, 0, 0, 30, 0, 9, 0, 0, 0, 0, 0, 204, 0, 0, 0, 0, 0, -186, 0, 0, 0, 84, 0, -126, 0, 0, 0, -48, 0, -144, 0, 0, 0, 0, 0, 102, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -24, 0, 0, 0, 6, 0, -66, 0, 0, 0, -186, 0, -198, 0, 0, 0, 114, 0, -186, 0, 0, 0, -22, 0, -174, 0, 0, 0, 192, 0, -192, 0, 0, 0, 90, 0, 255, 0, 0, 0, -336, 0, 45, 0, 0, 0, -12, 0, 72, 0, 0, 0, 66, 0, 21, 0, 0, 0, 190, 0, -126, 0, 0, 0, 252, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 264, 0, -117, 0, 0, 0, 90, 0, -81, 0, 0, 0, -318, 0, 81, 0, 0, 0, 176, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 168, 0, -24, 0, 0, 0, 48, 0, 93, 0, 0, 0, 0, 0, 114, 0, 0, 0, 0, 0, 57, 0, 0, 0, -24, 0, -354, 0, 0, 0, 222, 0, -153, 0, 0, 0, -48, 0, 222, 0, 0, 0, 0, 0, 324, 0, 0, 0, 0, 0, -27, 0, 0, 0, 48, 0, -45, 0, 0, 0, 2, 0, -147, 0, 0, 0, -126, 0, 94, 0, 0, 0, 180, 0, -240, 0, 0, 0, -66, 0, 234, 0, 0, 0, 210, 0, 282, 0, 0, 0, -24, 0, -54, 0, 0, 0, 164, 0, 102, 0, 0, 0, 18, 0, -150, 0, 0, 0, 150, 0, -138, 0, 0, 0, 288, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 168, 0, 207, 0, 0, 0, 198, 0, -81, 0, 0, 0, -150, 0, 324, 0, 0, 0, -120, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, 32, 0, -102, 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], [-0.042837217305420755, -0.9990820651045279], [0.0, 0.0], [-0.844540275657836, 0.0], [0.0, 0.0], [0.3393977078785505, -0.5878540740180692], [0.0, 0.0], [-0.9963299456270563, 0.08559579105766238], [0.0, 0.0], [-0.7734805112208127, 0.4465691813662656], [0.0, 0.0], [-0.9147266504332333, 0.40407320498543], [0.0, 0.0], [0.036177755311534665, 0.8437650426681781], [0.0, 0.0], [-0.4866495217206125, -0.28096723236639826], [0.0, 0.0], [0.20600659529458826, -0.35681388974450645], [0.0, 0.0], [-0.6018533156154379, -0.3139041301664566], [0.0, 0.0], [0.5349113341245366, 0.9264936082481492], [0.0, 0.0], [-0.2867517227917864, 0.0], [0.0, 0.0], [0.12819722208286927, 0.991748694100595], [0.0, 0.0], [-0.20098974218182172, 0.11604148175302825], [0.0, 0.0], [0.47758866141693795, 0.0], [0.0, 0.0], [0.479293012672121, 0.753640725404505], [0.0, 0.0], [-0.2866350337693887, 0.49646644171780213], [0.0, 0.0], [-0.8244565069194053, 0.4760001862050572], [0.0, 0.0], [0.4428866363899167, 0.8965776192317237], [0.0, 0.0], [-0.8970749131153718, -1.5537793277112601], [0.0, 0.0], [-1.3734798895302, -0.7929789839467986], [0.0, 0.0], [0.8414407669260309, -0.07228909297498871], [0.0, 0.0], [0.0, 0.09736644082699346], [0.0, 0.0], [0.2696183917735722, 0.46699275320683775], [0.0, 0.0], [-0.25986261142579997, 0.4982386635313424], [0.0, 0.0], [0.0, 0.5041805599127653], [0.0, 0.0], [0.6532354441623891, -0.3771456595313601], [0.0, 0.0], [-0.365311107112905, -0.1905325805194921], [0.0, 0.0], [-0.4092391883505781, -0.2362743555571502], [0.0, 0.0], [-0.5999068887694099, 1.039069211159189], [0.0, 0.0], [-0.2878342653445375, 0.6147476328920884], [0.0, 0.0], [0.7725234975084518, -0.3412560959243403], [0.0, 0.0], [0.03739780272829939, 0.06477489441685251], [0.0, 0.0], [0.9027290343756811, -0.5741087283735695], [0.0, 0.0], [0.9768035530171966, 0.5639577942798614], [0.0, 0.0], [0.0, -1.041832826103392], [0.0, 0.0], [0.012283645861935527, 0.2864885033790991], [0.0, 0.0], [0.0, 0.606258226259645], [0.0, 0.0], [0.0, -0.6999467446472458], [0.0, 0.0], [0.985346721106426, -0.17056329970077128], [0.0, 0.0], [0.0, -1.9453618034672526], [0.0, 0.0], [0.4109951212226801, 0.23728814387353725], [0.0, 0.0], [0.12454480448960806, 0.1958343525135436], [0.0, 0.0], [0.2923514831608149, 0.5063676225026484], [0.0, 0.0], [-0.07292004874024005, 0.6748673076572731], [0.0, 0.0], [-0.02045856927172239, -0.47715026611894157], [0.0, 0.0], [-0.17398086677742383, 0.3013437008033702], [0.0, 0.0], [-0.9696309971147526, -0.5598167171988077], [0.0, 0.0], [0.7324173533472019, -0.511136924415001], [0.0, 0.0], [-1.0589935502962158, 0.6114102113335976], [0.0, 0.0], [0.0, -1.8824151649879084], [0.0, 0.0], [0.5082893650754444, 0.26510468062091247], [0.0, 0.0], [-0.8291463290382444, -1.4361235688034613], [0.0, 0.0], [0.0, -1.1770272127401689], [0.0, 0.0], [0.510880671569663, 0.8033091861080182], [0.0, 0.0], [0.6891525879943238, 0.3978824321912501], [0.0, 0.0], [-0.45175416557403697, -0.7824611673051151], [0.0, 0.0], [0.8767825882638299, -0.48088698559784226], [0.0, 0.0], [-0.3303354644243375, 0.1907192693082713], [0.0, 0.0], [-0.10115193250772676, 0.1752002863871607], [0.0, 0.0], [-1.5139248664541263, 0.9628110394546084], [0.0, 0.0], [1.0867136546697707, 0.0], [0.0, 0.0], [0.3149900700261383, -0.18185960172165003], [0.0, 0.0], [-0.7334150243736273, 1.406188137465332], [0.0, 0.0], [0.9570121854808448, 0.0], [0.0, 0.0], [-0.1398363325016949, -0.24220363263703065], [0.0, 0.0], [-0.10826771727643524, -0.8375717154990153], [0.0, 0.0], [-0.4578241804099521, 0.7929747414036169], [0.0, 0.0], [0.0720419512750015, 0.04159343996156802], [0.0, 0.0], [0.09727706477331044, -0.00417090738396131], [0.0, 0.0], [0.5270765968420124, -0.7210314806206378], [0.0, 0.0], [0.16974393226663312, -0.09800170498744623], [0.0, 0.0], [0.455014382624794, -0.28937556969248024], [0.0, 0.0], [0.7326309009366363, -1.268953943617215], [0.0, 0.0], [-1.408146326990935, 0.0], [0.0, 0.0], [0.5089131040310148, 0.2382809165670892], [0.0, 0.0], [-0.4033428597641177, 0.0], [0.0, 0.0], [-0.5624016688503378, 0.0], [0.0, 0.0], [0.5037177549832027, -0.021597692206151837], [0.0, 0.0], [0.7261907228805008, 0.0], [0.0, 0.0], [0.19515222287142428, -0.33801356522331194], [0.0, 0.0], [-0.40478225304298776, -0.6364799459800922], [0.0, 0.0], [0.2432455953608337, -0.14043790996076813], [0.0, 0.0], [0.6734496900256054, -0.7392330586522873], [0.0, 0.0], [-0.17470877273562957, 0.3731376608554586], [0.0, 0.0], [1.3033109519641415, 0.7524669289542845], [0.0, 0.0], [-0.09732287744575781, 0.16856816847485168], [0.0, 0.0], [-0.2185268030400114, 0.4189848693316963], [0.0, 0.0], [0.4969682969727564, 0.8607743401077924], [0.0, 0.0], [0.8872766558248223, 0.0], [0.0, 0.0], [1.0638137550286895, 0.554845379708376], [0.0, 0.0], [0.6962867256216111, -0.4020013284708002], [0.0, 0.0], [0.5018852277944312, 0.0], [0.0, 0.0], [0.626513353560458, 0.2612359742900737], [0.0, 0.0], [-0.7432928849432601, 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[1.0139903533895855, 0.474765827175738], [0.0, 0.0], [0.3688281235152428, -0.6388290491886899], [0.0, 0.0], [-1.094219389828435, -0.631747859269955], [0.0, 0.0], [0.650884429869986, 0.3394769215291288], [0.0, 0.0], [-1.0002639652397147, 0.5775026695918318], [0.0, 0.0], [0.0, -0.24828588308889538], [0.0, 0.0], [0.18455468647803686, -0.3538495970418532], [0.0, 0.0], [0.16102584424348718, 0.2789049435613922], [0.0, 0.0], [0.0, -0.24689092792013645], [0.0, 0.0], [-0.6859781724526476, 0.571952866854492], [0.0, 0.0], [0.03474169848205785, 0.020058128970720915], [0.0, 0.0], [-0.419709742518577, -0.7269585984738268], [0.0, 0.0], [-0.593768351979276, 0.8899211682432221], [0.0, 0.0], [-0.09599042192715171, 0.0554200959392668], [0.0, 0.0], [0.14165821653163072, -0.24535922834237786], [0.0, 0.0], [0.5777140472487758, 0.9083980407258401], [0.0, 0.0], [-0.7493408714950583, 0.0], [0.0, 0.0], [-0.7259284781366112, 0.41911500226458787], [0.0, 0.0], [1.0027728456862002, -0.6998116932763973], [0.0, 0.0], [-1.445868707057124, 0.0], [0.0, 0.0], [0.8687386280355731, 1.5046994422552928], [0.0, 0.0], [-0.8984335619205269, -0.46858926992638855], [0.0, 0.0], [0.3248077421640409, -0.5625835121198507], [0.0, 0.0], [0.7900557207791966, 0.45613888306667294], [0.0, 0.0], [-0.046727265729995845, -1.0898087242540075], [0.0, 0.0], [-1.1213884755938788, -0.12116708183851803], [0.0, 0.0], [0.23641432372603782, -0.13649387344351127], [0.0, 0.0], [0.16112681514608004, 1.8755065989799489], [0.0, 0.0], [-0.44532618395838935, 0.7713275765566947], [0.0, 0.0], [0.22217266767230415, 0.0], [0.0, 0.0], [-0.038593736035333295, -0.9001123771268058], [0.0, 0.0], [-0.4238622886301047, 0.0], [0.0, 0.0], [-0.4088912602138642, 0.0], [0.0, 0.0], [-0.051817793715205486, -1.2085338780303256], [0.0, 0.0], [-1.5283226017365423, 0.0], [0.0, 0.0], [0.9597110771683927, -1.6622683462423116], [0.0, 0.0], [-0.5291157603192644, -0.22062430173868225], [0.0, 0.0], [-0.4636901370274592, 0.267711625433378], [0.0, 0.0], [0.4209767291026258, 0.9529922513329451], [0.0, 0.0], [0.001213085214474375, 0.028292493244454067], [0.0, 0.0], [-0.3712520458751892, -0.21434246862323977], [0.0, 0.0], [0.627740777944489, -1.0872789213826675], [0.0, 0.0], [-0.18378656553188405, -0.0958561837124267], [0.0, 0.0], [0.3107689548850274, 0.5382676192759478], [0.0, 0.0], [-0.7719090704859773, 0.0], [0.0, 0.0], [0.9490294498558328, 1.3598814812831013], [0.0, 0.0], [0.11191070779513958, -0.06461167727072539], [0.0, 0.0], [-0.09311105665375163, 0.0], [0.0, 0.0], [0.12424506373153305, 0.19536303990022272], [0.0, 0.0], [0.3468186273915428, -0.6007074836534513], [0.0, 0.0], [0.048901746267667454, -0.028233436371480583], [0.0, 0.0], [-0.12699850598626808, -0.25709517693125505], [0.0, 0.0], [-0.2343728662798825, -0.405945712312303], [0.0, 0.0], [-0.45225634930277986, -0.2611103250126774], [0.0, 0.0], [0.10074857537089023, 1.172707458870978], [0.0, 0.0], [0.0, -1.3272274547451826], [0.0, 0.0], [0.6972001026000728, 1.20758600074556], [0.0, 0.0], [0.030563727915201146, -0.058600315241400344], [0.0, 0.0], [0.0, -1.696693784942806], [0.0, 0.0], [1.4261236072733259, -0.8233728485569348], [0.0, 0.0], [-0.634375219246389, -0.330866336082348], [0.0, 0.0], [-0.14334054176553918, -0.08275770037412084], [0.0, 0.0], [0.028816170244142875, -0.049911070942409916], [0.0, 0.0], [-0.5777655969757192, -0.7566317624976414], [0.0, 0.0]], 'angles': [None, None, -0.3193833165556244, -0.36155504600860194, -0.4070104953343122, None, -0.21199427953381075, -0.3836432485498787, 0.006494162534387054, -0.35184361043483564, -0.2116239119010953, -0.4122902556837907, -0.40617721601325607, -0.31240216723942427, 0.0077512390447066004, 0.04055899646896481, -0.20462987104441854, 0.18573119260052212, -0.07737989987701348, -0.07130569459807731, -0.4127951589771498, -0.4430953153994179, -0.2872873921603796, -0.03611447651436154, -0.26123089851132736, -0.4380320567239845, -0.3048462413653571, -0.42774681953764127, -0.3998566666642966, -0.10153926204123861, -0.3042275135616774, -0.17058922789978193, -0.49235220755901193, -0.160044954883928, -0.2858127566885982, -0.3743186524760382, -0.2953663536975175, -0.38540662176780205, -0.31090781390701366, -0.031098541268340968, -0.0005565943853808311, -0.17684374376543419, 0.2167018874322116, -0.3455214148510523, -0.4287692340693501, -0.1510457800776003, -0.4164477090004394, -0.024834575213038328, -0.18871446433165132, 0.09227657929739008, 0.07546180686385758, -0.4599939681564219, -0.20938537612908104, -0.44491643500728184, 0.36124822221701647, -0.08279792849672621, -0.47751546422073454, 0.012618631726736114, 0.1854110792764356, -0.3214508915675404, -0.3370618193601973, -0.476482323605376, -0.15818793101551878, -0.17562827002090325, -0.14662210192074931, -0.25225358896071554, -0.3584407986629445, -0.15780022678596156, 0.20144591242167045, -0.3291551302561954, -0.4254217052088446, -0.4197666971685774, -0.44675665841800716, -0.39864613277808214, 0.11309970861867685, 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-0.41207979578064796], 'char_orbit_index': 52, 'conrey_index': 335, 'dual_conrey_index': 95, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 4, 'embedding_m': 12, 'embedding_root_imag': -1.7304608976918792, 'embedding_root_real': -0.0741962368278575, 'hecke_orbit': 8, 'hecke_orbit_code': 31528702118462064, 'label': '624.2.bz.h.335.4', 'level': 624, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 2496, 'analytic_conductor': 4.982665086127896, 'char_conductor': 156, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 52, 'char_orbit_label': 'bz', 'char_order': 6, 'char_parity': 1, 'char_values': [624, 6, [79, 469, 209, 145], [3, 6, 3, 1]], 'conrey_index': 95, 'cusp_dim': 200, 'dim': 56, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7], 'hecke_orbit_code': 3504726868592, 'hecke_orbit_dims': [2, 2, 2, 2, 8, 8, 16, 16], 'label': '624.2.bz', 'level': 624, '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, 3, 13], 'level_radical': 78, 'mf_dim': 248, 'mf_new_dim': 56, 'num_forms': 8, 'prim_orbit_index': 18, 'relative_dim': 28, 'sturm_bound': 224, 'trace_bound': 9, 'trace_display': [0, 0, 0, 0], 'traces': [56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, 324, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -148, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 228, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 300, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, -124, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -396, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 156, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -528, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, -648, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, -228, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, -360, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 324, 0, 0, 0, -204, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 296, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 252, 0, 0, 0, 732, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, 0, -308, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -372, 0, 0, 0, 228, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 372, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -408, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, -504, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, 236, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -648, 0, 0, 0, 244, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, -180, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 204, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, 528, 0, 0, 0, 312, 0, 0, 0, 0, 0, 0, 0, 792, 0, 0, 0, 360, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 704, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 816, 0, 0, 0, 0, 0, 0, 0, 324, 0, 0, 0, 732, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 148, 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: 46441063
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 335, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528702118462064, 'source_is_minimal': True, 'source_label': '624.2.bz.h.335.4', 'source_level': 624, 'target_conrey_index': 335, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 31528702118462064, 'target_is_minimal': True, 'target_label': '624.2.bz.h.335.4', 'target_level': 624, 'twist_class_label': '624.2.bz.g.95.2', 'twist_class_level': 624, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46441064
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 335, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528702118462064, 'source_is_minimal': True, 'source_label': '624.2.bz.h.335.4', 'source_level': 624, 'target_conrey_index': 335, 'target_dim': 16, 'target_embedding_index': 7, 'target_hecke_orbit_code': 31528702118462064, 'target_is_minimal': True, 'target_label': '624.2.bz.h.335.7', 'target_level': 624, 'twist_class_label': '624.2.bz.g.95.2', 'twist_class_level': 624, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46441065
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 335, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528702118462064, 'source_is_minimal': True, 'source_label': '624.2.bz.h.335.4', 'source_level': 624, 'target_conrey_index': 335, 'target_dim': 16, 'target_embedding_index': 5, 'target_hecke_orbit_code': 27025102491091568, 'target_is_minimal': True, 'target_label': '624.2.bz.g.335.5', 'target_level': 624, 'twist_class_label': '624.2.bz.g.95.2', 'twist_class_level': 624, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46441066
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 335, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528702118462064, 'source_is_minimal': True, 'source_label': '624.2.bz.h.335.4', 'source_level': 624, 'target_conrey_index': 335, 'target_dim': 16, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27025102491091568, 'target_is_minimal': True, 'target_label': '624.2.bz.g.335.2', 'target_level': 624, 'twist_class_label': '624.2.bz.g.95.2', 'twist_class_level': 624, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46441067
    {'conductor': 13, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 335, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528702118462064, 'source_is_minimal': True, 'source_label': '624.2.bz.h.335.4', 'source_level': 624, 'target_conrey_index': 95, 'target_dim': 16, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27025102491091568, 'target_is_minimal': True, 'target_label': '624.2.bz.g.95.2', 'target_level': 624, 'twist_class_label': '624.2.bz.g.95.2', 'twist_class_level': 624, 'twisting_char_label': '13.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46441068
    {'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 335, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528702118462064, 'source_is_minimal': True, 'source_label': '624.2.bz.h.335.4', 'source_level': 624, 'target_conrey_index': 95, 'target_dim': 16, 'target_embedding_index': 5, 'target_hecke_orbit_code': 27025102491091568, 'target_is_minimal': True, 'target_label': '624.2.bz.g.95.5', 'target_level': 624, 'twist_class_label': '624.2.bz.g.95.2', 'twist_class_level': 624, 'twisting_char_label': '39.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 46441069
    {'conductor': 52, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 335, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528702118462064, 'source_is_minimal': True, 'source_label': '624.2.bz.h.335.4', 'source_level': 624, 'target_conrey_index': 95, 'target_dim': 16, 'target_embedding_index': 7, 'target_hecke_orbit_code': 31528702118462064, 'target_is_minimal': True, 'target_label': '624.2.bz.h.95.7', 'target_level': 624, 'twist_class_label': '624.2.bz.g.95.2', 'twist_class_level': 624, 'twisting_char_label': '52.43', 'twisting_conrey_index': 43, 'weight': 2}
  • id: 46441070
    {'conductor': 156, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 335, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528702118462064, 'source_is_minimal': True, 'source_label': '624.2.bz.h.335.4', 'source_level': 624, 'target_conrey_index': 95, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 31528702118462064, 'target_is_minimal': True, 'target_label': '624.2.bz.h.95.4', 'target_level': 624, 'twist_class_label': '624.2.bz.g.95.2', 'twist_class_level': 624, 'twisting_char_label': '156.95', 'twisting_conrey_index': 95, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1130500
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 31528702118462064, 'p': 2}
  • id: 1130501
    {'charpoly_factorization': [[[6561, -6561, 3645, -1458, 729, 81, -414, 423, -266, 141, -46, 3, 9, -6, 5, -3, 1], 1]], 'hecke_orbit_code': 31528702118462064, 'p': 3}
  • id: 1130502
    {'charpoly_factorization': [[[468, 0, -657, 0, 231, 0, -27, 0, 1], 2]], 'hecke_orbit_code': 31528702118462064, 'p': 5}
  • id: 1130503
    {'charpoly_factorization': [[[36, -108, 288, -144, 96, -18, 15, -3, 1], 2]], 'hecke_orbit_code': 31528702118462064, 'p': 7}
  • id: 1130504
    {'charpoly_factorization': [[[219024, 0, -353808, 0, 459216, 0, -156168, 0, 36720, 0, -4968, 0, 489, 0, -27, 0, 1], 1]], 'hecke_orbit_code': 31528702118462064, 'p': 11}
  • id: 1130505
    {'charpoly_factorization': [[[28561, -15379, 3211, 338, -338, 26, 19, -7, 1], 2]], 'hecke_orbit_code': 31528702118462064, 'p': 13}
  • id: 1130506
    {'charpoly_factorization': [[[316733209, 0, -355940000, 0, 334115506, 0, -69911096, 0, 11367007, 0, -389432, 0, 9754, 0, -116, 0, 1], 1]], 'hecke_orbit_code': 31528702118462064, 'p': 17}
  • id: 1130507
    {'charpoly_factorization': [[[36, -108, 288, -144, 96, -18, 15, -3, 1], 2]], 'hecke_orbit_code': 31528702118462064, 'p': 19}
  • id: 1130508
    {'charpoly_factorization': [[[1437016464, 0, 773778096, 0, 334768464, 0, 37948824, 0, 2974320, 0, 134136, 0, 4401, 0, 81, 0, 1], 1]], 'hecke_orbit_code': 31528702118462064, 'p': 23}
  • id: 1130509
    {'charpoly_factorization': [[[119299087609, 0, -82873174592, 0, 53302249558, 0, -2826010544, 0, 104288719, 0, -1990928, 0, 27646, 0, -200, 0, 1], 1]], 'hecke_orbit_code': 31528702118462064, 'p': 29}
  • id: 1130510
    {'charpoly_factorization': [[[-864, 540, -72, -6, 1], 4]], 'hecke_orbit_code': 31528702118462064, 'p': 31}
  • id: 1130511
    {'charpoly_factorization': [[[4761, -14904, 17622, -6480, 537, 180, -18, -6, 1], 2]], 'hecke_orbit_code': 31528702118462064, 'p': 37}
  • id: 1130512
    {'charpoly_factorization': [[[28176700597929, 0, 2823417218700, 0, 187466043114, 0, 7016702760, 0, 190388151, 0, 3251880, 0, 39618, 0, 240, 0, 1], 1]], 'hecke_orbit_code': 31528702118462064, 'p': 41}
  • id: 1130513
    {'charpoly_factorization': [[[171396, 29808, -50436, -9072, 15390, 378, -123, -3, 1], 2]], 'hecke_orbit_code': 31528702118462064, 'p': 43}
  • id: 1130514
    {'charpoly_factorization': [[[151632, 0, 347004, 0, 15120, 0, 216, 0, 1], 2]], 'hecke_orbit_code': 31528702118462064, 'p': 47}
  • id: 1130515
    {'charpoly_factorization': [[[140608, 0, 37271, 0, 3171, 0, 101, 0, 1], 2]], 'hecke_orbit_code': 31528702118462064, 'p': 53}
  • id: 1130516
    {'charpoly_factorization': [[[15690725167104, 0, -1953640166400, 0, 173989458432, 0, -6793056576, 0, 187799904, 0, -3052404, 0, 35877, 0, -231, 0, 1], 1]], 'hecke_orbit_code': 31528702118462064, 'p': 59}
  • id: 1130517
    {'charpoly_factorization': [[[2128681, 545666, 288694, -26476, 10441, -340, 118, -4, 1], 2]], 'hecke_orbit_code': 31528702118462064, 'p': 61}
  • id: 1130518
    {'charpoly_factorization': [[[26244, -43740, 72900, -4860, 4212, -540, 225, -15, 1], 2]], 'hecke_orbit_code': 31528702118462064, 'p': 67}
  • id: 1130519
    {'charpoly_factorization': [[[602328808742544, 0, -37637322710832, 0, 1537502108256, 0, -36010966392, 0, 611700120, 0, -6986412, 0, 58629, 0, -303, 0, 1], 1]], 'hecke_orbit_code': 31528702118462064, 'p': 71}
  • id: 1130520
    {'charpoly_factorization': [[[197136, 0, 59211, 0, 4659, 0, 129, 0, 1], 2]], 'hecke_orbit_code': 31528702118462064, 'p': 73}
  • id: 1130521
    {'charpoly_factorization': [[[746496, 0, 435456, 0, 19008, 0, 252, 0, 1], 2]], 'hecke_orbit_code': 31528702118462064, 'p': 79}
  • id: 1130522
    {'charpoly_factorization': [[[212601168, 0, 12089628, 0, 152520, 0, 684, 0, 1], 2]], 'hecke_orbit_code': 31528702118462064, 'p': 83}
  • id: 1130523
    {'charpoly_factorization': [[[56070144, 0, 594127872, 0, 6250811904, 0, 471096000, 0, 24374304, 0, 682236, 0, 13917, 0, 141, 0, 1], 1]], 'hecke_orbit_code': 31528702118462064, 'p': 89}
  • id: 1130524
    {'charpoly_factorization': [[[9809424, 7779888, 2225880, 134136, -16308, -1458, 189, 27, 1], 2]], 'hecke_orbit_code': 31528702118462064, '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': 52, 'hecke_orbit': 8, 'label': '624.2.bz.h', 'level': 624, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 50279275
    {'hecke_orbit_code': 31528702118462064, 'n': 1, 'trace_an': 16}
  • id: 50279276
    {'hecke_orbit_code': 31528702118462064, 'n': 2, 'trace_an': 0}
  • id: 50279277
    {'hecke_orbit_code': 31528702118462064, 'n': 3, 'trace_an': 3}
  • id: 50279278
    {'hecke_orbit_code': 31528702118462064, 'n': 4, 'trace_an': 0}
  • id: 50279279
    {'hecke_orbit_code': 31528702118462064, 'n': 5, 'trace_an': 0}
  • id: 50279280
    {'hecke_orbit_code': 31528702118462064, 'n': 6, 'trace_an': 0}
  • id: 50279281
    {'hecke_orbit_code': 31528702118462064, 'n': 7, 'trace_an': 6}
  • id: 50279282
    {'hecke_orbit_code': 31528702118462064, 'n': 8, 'trace_an': 0}
  • id: 50279283
    {'hecke_orbit_code': 31528702118462064, 'n': 9, 'trace_an': -1}
  • id: 50279284
    {'hecke_orbit_code': 31528702118462064, 'n': 10, 'trace_an': 0}
  • id: 50279285
    {'hecke_orbit_code': 31528702118462064, 'n': 11, 'trace_an': 0}
  • id: 50279286
    {'hecke_orbit_code': 31528702118462064, 'n': 12, 'trace_an': 0}
  • id: 50279287
    {'hecke_orbit_code': 31528702118462064, 'n': 13, 'trace_an': 14}
  • id: 50279288
    {'hecke_orbit_code': 31528702118462064, 'n': 14, 'trace_an': 0}
  • id: 50279289
    {'hecke_orbit_code': 31528702118462064, 'n': 15, 'trace_an': -6}
  • id: 50279290
    {'hecke_orbit_code': 31528702118462064, 'n': 16, 'trace_an': 0}
  • id: 50279291
    {'hecke_orbit_code': 31528702118462064, 'n': 17, 'trace_an': 0}
  • id: 50279292
    {'hecke_orbit_code': 31528702118462064, 'n': 18, 'trace_an': 0}
  • id: 50279293
    {'hecke_orbit_code': 31528702118462064, 'n': 19, 'trace_an': 6}
  • id: 50279294
    {'hecke_orbit_code': 31528702118462064, 'n': 20, 'trace_an': 0}
  • id: 50279295
    {'hecke_orbit_code': 31528702118462064, 'n': 21, 'trace_an': 0}
  • id: 50279296
    {'hecke_orbit_code': 31528702118462064, 'n': 22, 'trace_an': 0}
  • id: 50279297
    {'hecke_orbit_code': 31528702118462064, 'n': 23, 'trace_an': 0}
  • id: 50279298
    {'hecke_orbit_code': 31528702118462064, 'n': 24, 'trace_an': 0}
  • id: 50279299
    {'hecke_orbit_code': 31528702118462064, 'n': 25, 'trace_an': 28}
  • id: 50279300
    {'hecke_orbit_code': 31528702118462064, 'n': 26, 'trace_an': 0}
  • id: 50279301
    {'hecke_orbit_code': 31528702118462064, 'n': 27, 'trace_an': 0}
  • id: 50279302
    {'hecke_orbit_code': 31528702118462064, 'n': 28, 'trace_an': 0}
  • id: 50279303
    {'hecke_orbit_code': 31528702118462064, 'n': 29, 'trace_an': 0}
  • id: 50279304
    {'hecke_orbit_code': 31528702118462064, 'n': 30, 'trace_an': 0}
  • id: 50279305
    {'hecke_orbit_code': 31528702118462064, 'n': 31, 'trace_an': 24}
  • id: 50279306
    {'hecke_orbit_code': 31528702118462064, 'n': 32, 'trace_an': 0}
  • id: 50279307
    {'hecke_orbit_code': 31528702118462064, 'n': 33, 'trace_an': 9}
  • id: 50279308
    {'hecke_orbit_code': 31528702118462064, 'n': 34, 'trace_an': 0}
  • id: 50279309
    {'hecke_orbit_code': 31528702118462064, 'n': 35, 'trace_an': 0}
  • id: 50279310
    {'hecke_orbit_code': 31528702118462064, 'n': 36, 'trace_an': 0}
  • id: 50279311
    {'hecke_orbit_code': 31528702118462064, 'n': 37, 'trace_an': 12}
  • id: 50279312
    {'hecke_orbit_code': 31528702118462064, 'n': 38, 'trace_an': 0}
  • id: 50279313
    {'hecke_orbit_code': 31528702118462064, 'n': 39, 'trace_an': -27}
  • id: 50279314
    {'hecke_orbit_code': 31528702118462064, 'n': 40, 'trace_an': 0}
  • id: 50279315
    {'hecke_orbit_code': 31528702118462064, 'n': 41, 'trace_an': 0}
  • id: 50279316
    {'hecke_orbit_code': 31528702118462064, 'n': 42, 'trace_an': 0}
  • id: 50279317
    {'hecke_orbit_code': 31528702118462064, 'n': 43, 'trace_an': 6}
  • id: 50279318
    {'hecke_orbit_code': 31528702118462064, 'n': 44, 'trace_an': 0}
  • id: 50279319
    {'hecke_orbit_code': 31528702118462064, 'n': 45, 'trace_an': 30}
  • id: 50279320
    {'hecke_orbit_code': 31528702118462064, 'n': 46, 'trace_an': 0}
  • id: 50279321
    {'hecke_orbit_code': 31528702118462064, 'n': 47, 'trace_an': 0}
  • id: 50279322
    {'hecke_orbit_code': 31528702118462064, 'n': 48, 'trace_an': 0}
  • id: 50279323
    {'hecke_orbit_code': 31528702118462064, 'n': 49, 'trace_an': 14}
  • id: 50279324
    {'hecke_orbit_code': 31528702118462064, 'n': 50, 'trace_an': 0}
  • id: 50279325
    {'hecke_orbit_code': 31528702118462064, 'n': 51, 'trace_an': 0}
  • id: 50279326
    {'hecke_orbit_code': 31528702118462064, 'n': 52, 'trace_an': 0}
  • id: 50279327
    {'hecke_orbit_code': 31528702118462064, 'n': 53, 'trace_an': 0}
  • id: 50279328
    {'hecke_orbit_code': 31528702118462064, 'n': 54, 'trace_an': 0}
  • id: 50279329
    {'hecke_orbit_code': 31528702118462064, 'n': 55, 'trace_an': -24}
  • id: 50279330
    {'hecke_orbit_code': 31528702118462064, 'n': 56, 'trace_an': 0}
  • id: 50279331
    {'hecke_orbit_code': 31528702118462064, 'n': 57, 'trace_an': 0}
  • id: 50279332
    {'hecke_orbit_code': 31528702118462064, 'n': 58, 'trace_an': 0}
  • id: 50279333
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  • id: 50279337
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  • id: 50279338
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  • id: 50279340
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  • id: 50279341
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  • id: 50279343
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  • id: 50279350
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  • id: 50279353
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  • id: 50279360
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  • id: 50279364
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  • id: 50279399
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  • id: 50279402
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  • id: 50279403
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  • id: 50279407
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  • id: 50279408
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  • id: 50279409
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  • id: 50279410
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  • id: 50279411
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  • id: 50279412
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  • id: 50279413
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  • id: 50279414
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  • id: 50279415
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  • id: 50279416
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  • id: 50279417
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  • id: 50279418
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  • id: 50279419
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  • id: 50279420
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  • id: 50279421
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  • id: 50279422
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  • id: 50279423
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  • id: 50279424
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  • id: 50279425
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  • id: 50279426
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  • id: 50279427
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  • id: 50279428
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  • id: 50279429
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  • id: 50279430
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  • id: 50279431
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  • id: 50279432
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  • id: 50279433
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  • id: 50279434
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  • id: 50279435
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  • id: 50279436
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  • id: 50279437
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  • id: 50279438
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  • id: 50279439
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  • id: 50279440
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  • id: 50279441
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  • id: 50279442
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  • id: 50279443
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  • id: 50279444
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  • id: 50279445
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  • id: 50279446
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  • id: 50279447
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  • id: 50279448
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  • id: 50279449
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  • id: 50279450
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  • id: 50279451
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  • id: 50279452
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  • id: 50279453
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  • id: 50279454
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  • id: 50279455
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  • id: 50279456
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  • id: 50279457
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  • id: 50279458
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  • id: 50279459
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  • id: 50279460
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  • id: 50279461
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  • id: 50279462
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  • id: 50279463
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  • id: 50279464
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  • id: 50279466
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  • id: 50279467
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  • id: 50279468
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  • id: 50279470
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  • id: 50279471
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  • id: 50279472
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  • id: 50279473
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  • id: 50279475
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  • id: 50279476
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  • id: 50279477
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  • id: 50279478
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  • id: 50279479
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  • id: 50279480
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  • id: 50279481
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  • id: 50279482
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  • id: 50279483
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  • id: 50279485
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  • id: 50279486
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  • id: 50279487
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  • id: 50279488
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  • id: 50279489
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  • id: 50279490
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  • id: 50279491
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  • id: 50279518
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  • id: 50279519
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  • id: 50279520
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  • id: 50279521
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  • id: 50279522
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  • id: 50279523
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  • id: 50279524
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  • id: 50279525
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  • id: 50279526
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  • id: 50279527
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  • id: 50279528
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  • id: 50279529
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  • id: 50279530
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  • id: 50279531
    {'hecke_orbit_code': 31528702118462064, 'n': 991, 'trace_an': -30}
  • id: 50279532
    {'hecke_orbit_code': 31528702118462064, 'n': 997, 'trace_an': 32}